bluuebunny/crossref_metadata_2025_split huggingface dataset:
Methadone versus other opioids for refractory malignant bone pain: a pilot randomised controlled study
Authors: Sulistio Merlina , Gorelik Alexandra , Tee Hoong Jiun , Wojnar Robert , Kissane David , Michael Natasha 
Published: July 2024

Abstract
Purpose
Refractory cancer-induced bone pain (CIBP) affects a patient’s functional capacity and quality of life, but there is limited evidence to guide opioid choice. We assessed the feasibility, tolerability and possible efficacy of methadone rotation (MR) compared to other opioid rotations (OOR) in this cohort.

Methods
Adults with CIBP and worst pain intensity ≥ 4/10 and/or opioid toxicity graded ≥ 2 on the Common Terminology Criteria for Adverse Events were randomised 1:1 to methadone or another opioid rotation. Standardised assessment tools were used at pre-defined study time points up to 14 days.

Results
Of 51 eligible participants, 38 (74.5%) consented, and 29 (76.3%, MR: 14, OOR: 15) completed the fourteen days follow-up post-opioid rotation. Both groups displayed significant reduction in average (MR: d =  − 1.2, p = 0.003, OOR: d =  − 0.8, p = 0.015) and worst pain (MR: d =  − 0.9, p = 0.042, OOR: d =  − 0.6, p = 0.048) and total pain interference score (MR: d =  − 1.1, p = 0.042, OOR: d =  − 0.7, p = 0.007). Oral morphine equivalent daily dose was reduced significantly in MR compared to the OOR group (d =  − 0.8, p = 0.05). The incidence of opioid-related adverse events following MR was unchanged but lower in the OOR group (d = 0.9, 95% CI 0.1,1.7, p = 0.022). There were no within-group or between-group differences in satisfaction with analgesia at the end of the study.

Conclusion
This pilot study demonstrated that MR and OOR in patients with refractory CIBP are feasible, safe and acceptable to patients. Appropriately powered multi-centre randomised controlled studies are needed to confirm the efficacy of MR and OOR in this cohort.

Trial registration
ACTRN12621000141842 registered 11 February 2021.
Sensitivity analysis of fibrous thick-walled tubes with mechano-sensitive remodeling fibers in homeostasis
Authors: Asghari Hadi , Topol Heiko , Lacalle Jesús , Merodio José 
Published: July 2024

AbstractIn this article, we apply the sensitivity analysis method to capture the influence of various parameters on the inflation pressure, axial force, and the deformation for an inflated and axially stretched cylinder. The material consists of an isotropic ground substance material reinforced with fibers that undergo a continuous and mechano-sensitive remodeling process. The input parameters of the mechanical system are assumed to be distributed according to the uniform probability distribution function. In the sensitivity analysis, we apply the Sobol method to determine how the variations of input parameters affect the inflation as well as the axial force in the cylinder. Special attention is given to the fiber remodeling process associated with a homeostatic balance between the constant fiber creation process and the strain-stabilized fiber dissolution. The results may help to understand the importance of the effect of material parameter changes, for example, due to remodeling processes in the context of diseases or recovering processes, on the overall tissue behavior.
Usability of visualizing position and orientation deviations for manual precise manipulation of objects in augmented reality
Authors: Zhang Xiaotian , He Weiping , Billinghurst Mark , Qin Yunfei , Yang Lingxiao , Liu Daisong , Wang Zenglei 
Published: July 2024

AbstractManual precise manipulation of objects is an essential skill in everyday life, and Augmented Reality (AR) is increasingly being used to support such operations. In this study, we investigate whether detailed visualizations of position and orientation deviations are helpful for AR-assisted manual precise manipulation of objects. We developed three AR instructions with different visualizations of deviations: the logical deviation baseline instruction, the precise numerical deviations-based instruction, and the intuitive color-mapped deviations-based instruction. All three instructions visualized the required directions for manipulation and the logical values of whether the object met the accuracy requirements. Additionally, the latter two instructions provided detailed visualizations of deviations through numerical text and color-mapping respectively. A user study was conducted with 18 participants to compare the three AR instructions. The results showed that there were no significant differences found in speed, accuracy, perceived ease-of-use, and perceived workload between the three AR instructions. We found that the visualizations of the required directions for manipulation and the logical values of whether the object met the accuracy requirements were sufficient to guide manual precise manipulation. The detailed visualizations of the real-time deviations could not improve the speed and accuracy of manual precise manipulation, and although they could improve the perceived ease-of-use and user experience, the effects were not significant. Based on the results, several recommendations were provided for designing AR instructions to support precise manual manipulation.
Remaki﻿n﻿g the Late Holocene Environment of Western Uganda: Archaeological Perspectives on Kansyore and Later Settlers
Authors: Schmidt Peter R. , Walz Jonathan R. , Besigye Jackline N. , Krigbaum John , Oteyo Gilbert , Lejju Julius B. , Asiimwe Raymond , Ehret Christopher , Crowther Alison , Mwebi Ogeto , Dunne Julie , Schmidt Jane , Okeny Charles , Niwahereza Amon , Yeko Doreen , Bermudez Katie , Echoru Isaac 
Published: July 2024

Abstract
Archaeological and environmental research by an international and interdisciplinary team opens new perspectives into the settlement histories of Kansyore, Early Iron Age, and Bigo period peoples in the once forested regions of the Ndali Crater Lakes Region (NCLR) of western Uganda. The research examines the role of Kansyore agropastoralists and their Early Iron Age and Bantu-speaking contemporaries in remaking a once forested environment into a forest-savannah mosaic from circa 500 BC to the end of the first millennium AD. Archaeological settlement and subsistence evidence is examined within a framework of social interaction of Sudanic speakers with Bantu speakers, drawing on historical linguistics and environmental studies to arrive at a new synthesis of late Holocene history in western Uganda. This perspective also unveils the significance and chronology of Boudiné ware, a long enigmatic ceramic tradition that we identify as contemporary to Transitional Urewe and deeply influenced through social interactions with those making Kansyore ceramics and inhabiting the same landscape. Using archaeological evidence from fifteen sites and multiple burials spanning from 400 to 1650 calAD, new views of ceramic histories, lifeways, and symbolic values are revealed, including Bigo period settlements that arose in what was an environmental refugium beginning in the early fourteenth century AD. This research also shows that the Kansyore of the forested region east of the Rwenzori Mountains had greater affinities to late Holocene archaeological evidence from western Equatoria, in the southern South Sudan, and Kansyore Island, Uganda, than it does to the Kansyore in eastern Kenya.
Two-Stage Classification of Future Knee Osteoarthritis Severity After 8 Years Using MRI: Data from the Osteoarthritis Initiative
Authors: Nurmirinta Teemu A. T. , Turunen Mikael J. , Korhonen Rami K. , Tohka Jussi , Liukkonen Mimmi K. , Mononen Mika E. 
Published: July 2024

AbstractCurrently, there are no methods or tools available in clinical practice for classifying future knee osteoarthritis (KOA). In this study, we aimed to fill this gap by classifying future KOA into three severity grades: KL01 (healthy), KL2 (moderate), and KL34 (severe) based on the Kellgren-Lawrance scale. Due to the complex nature of multiclass classification, we used a two-stage method, which separates the classification task into two binary classifications (KL01 vs. KL234 in the first stage and KL2 vs. KL34 in the second stage). Our machine learning (ML) model used two Balanced Random Forest algorithms and was trained with gender, age, height, weight, and quantitative knee morphology obtained from magnetic resonance imaging. Our training dataset comprised longitudinal 8-year follow-up data of 1213 knees from the Osteoarthritis Initiative. Through extensive experimentation with various feature combinations, we identified KL baseline and weight as the most essential features, while gender surprisingly proved to be one of the least influential feature. Our best classification model generated a weighted F1 score of 79.0% and a balanced accuracy of 65.9%. The area under the receiver operating characteristic curve was 83.0% for healthy (KL01) versus moderate (KL2) or severe (KL34) KOA patients and 86.6% for moderate (KL2) versus severe (KL34) KOA patients. We found a statistically significant difference in performance between our two-stage classification model and the traditional single-stage classification model. These findings demonstrate the encouraging results of our two-stage classification model for multiclass KOA severity classification, suggesting its potential application in clinical settings in future.
Towards the automation of systematic reviews using natural language processing, machine learning, and deep learning: a comprehensive review
Authors: Ofori-Boateng Regina , Aceves-Martins Magaly , Wiratunga Nirmalie , Moreno-Garcia Carlos Francisco 
Published: July 2024

AbstractSystematic reviews (SRs) constitute a critical foundation for evidence-based decision-making and policy formulation across various disciplines, particularly in healthcare and beyond. However, the inherently rigorous and structured nature of the SR process renders it laborious for human reviewers. Moreover, the exponential growth in daily published literature exacerbates the challenge, as SRs risk missing out on incorporating recent studies that could potentially influence research outcomes. This pressing need to streamline and enhance the efficiency of SRs has prompted significant interest in leveraging Artificial Intelligence (AI) techniques to automate various stages of the SR process. This review paper provides a comprehensive overview of the current AI methods employed for SR automation, a subject area that has not been exhaustively covered in previous literature. Through an extensive analysis of 52 related works and an original online survey, the primary AI techniques and their applications in automating key SR stages, such as search, screening, data extraction, and risk of bias assessment, are identified. The survey results offer practical insights into the current practices, experiences, opinions, and expectations of SR practitioners and researchers regarding future SR automation. Synthesis of the literature review and survey findings highlights gaps and challenges in the current landscape of SR automation using AI techniques. Based on these insights, potential future directions are discussed. This review aims to equip researchers and practitioners with a foundational understanding of the basic concepts, primary methodologies, and recent advancements in AI-driven SR automation while guiding computer scientists in exploring novel techniques to invigorate further and advance this field.
Dynamics around the Earth–Moon triangular points in the Hill restricted 4-body problem
Authors: Peterson Luke T. , Brown Gavin , Jorba Àngel , Scheeres Daniel 
Published: July 2024

AbstractThis paper investigates the motion of a small particle moving near the triangular points of the Earth–Moon system. The dynamics are modeled in the Hill restricted 4-body problem (HR4BP), which includes the effect of the Earth and Moon as in the circular restricted 3-body problem (CR3BP), as well as the direct and indirect effect of the Sun as a periodic time-dependent perturbation of the CR3BP. Due to the periodic perturbation, the triangular points of the CR3BP are no longer equilibrium solutions; rather, the triangular points are replaced by periodic orbits with the same period as the perturbation. Additionally, there is a 2:1 resonant periodic orbit that persists from the CR3BP into the HR4BP. In this work, we investigate the dynamics around these invariant objects by performing a center manifold reduction and computing families of 2-dimensional invariant tori and their linear normal behavior. We identify bifurcations and relationships between families. Mechanisms for transport between the Earth, $$L_4$$

L
4

, and the Moon are discussed. Comparisons are made between the results presented here and in the bicircular problem (BCP).
GreatBlue: a 55-Pound Vertical-Takeoff-and-Landing Fixed-Wing sUAS for Science; Systems, Communication, Simulation, Data Processing, Payloads, Package Delivery, and Mission Flight Performance
Authors: Coopmans Calvin , Slack Stockton , Schwemmer Nathan , Vance Chase , Beckwith A. J. , Robinson Daniel J. 
Published: July 2024

AbstractAs small, uncrewed systems (sUAS) grow in popularity and in number, larger and larger drone aircraft will become more common–up to the FAA limit of 55 pound gross take-off weight (GTOW) and beyond. Due to their larger payload capabilities, longer flight time, and better safety systems, autonomous systems that maximize CFR 14 Part 107 flight drone operations regulations will become more common, especially for operations such as imagery or other data collection which scale well with longer flight times and larger flight areas. In this new paper, a unique all-electric 55-pound VTOL transition fixed-wing sUAS specifically engineered for scientific data collection named “GreatBlue” is presented, along with systems, communications, scientific payload, data collection and processing, package delivery payload, ground control station, and mission simulation system. Able to fly for up to 2.5 hours while collecting multispectral remotely-sensed imagery, the unique GreatBlue system is shown, along with a package delivery flight example, flight data from two scientific data collection flights over California almond fields and a Utah Reservoir are shown including flight plan vs. as-flown.
Fairness with unequal productive skills among other-regarding individuals
Authors: Calo-Blanco Aitor 
Published: July 2024

AbstractThis paper deals with the fair ranking of allocations when individuals endowed with heterogeneous skills have other-regarding preferences over the average consumption of the other members of society. By assuming that such preferences matter for equality, we construct three social ordering functions that aim to reduce differences which originate in unequal productivities. These functions seek to maximise the smallest value of an interpersonally comparable measure of individual well-being that is related to a situation which involves neither unfair opportunities nor inequalities in consumption. More importantly, they provide society with different options at the time of making welfare evaluations when individuals are endowed with unequal productive skills and heterogeneous preferences.
Expression, Purification and Biophysical Characterisation of Klebsiella Pneumoniae Protein Adenylyltransferase: A Systematic Integration of Empirical and Computational Modelling Approaches
Authors: Maake Reabetswe , Achilonu Ikechukwu 
Published: July 2024

AbstractInfections that are acquired due to a prolonged hospital stay and manifest 2 days following the admission of a patient to a health-care institution can be classified as hospital-acquired infections. Klebsiella pneumoniae (K. pneumoniae) has become a critical pathogen, posing serious concern globally due to the rising incidences of hypervirulent and carbapenem-resistant strains. Glutaredoxin is a redox protein that protects cells from oxidative stress as it associates with glutathione to reduce mixed disulfides. Protein adenylyltransferase (PrAT) is a pseudokinase with a proposed mechanism of transferring an AMP group from ATP to glutaredoxin. Inducing oxidative stress to the bacterium by inhibiting the activity of PrAT is a promising approach to combating its contribution to hospital-acquired infections. Thus, this study aims to overexpress, purify, and analyse the effects of ATP and Mg2+ binding to Klebsiella pneumoniae PrAT (KpPrAT). The pET expression system and nickel affinity chromatography were effective in expressing and purifying KpPrAT. Far-UV CD spectroscopy demonstrates that the protein is predominantly α-helical, even in the presence of Mg2+. Extrinsic fluorescence spectroscopy with ANS indicates the presence of a hydrophobic pocket in the presence of ATP and Mg2+, while mant-ATP studies allude to the potential nucleotide binding ability of KpPrAT. The presence of Mg2+ increases the thermostability of the protein. Isothermal titration calorimetry provides insight into the binding affinity and thermodynamic parameters associated with the binding of ATP to KpPrAT, with or without Mg2+. Conclusively, the presence of Mg2+ induces a conformation in KpPrAT that favours nucleotide binding.
Quantifying Household Discomfort Perception: An Application for Spain
Authors: Aristondo Oihana , Grijalba Olatz , Onaindia Eneritz , Perez-Bezos Silvia 
Published: July 2024

AbstractThe physical structure of the dwelling itself and its immediate surroundings determine its Indoor Environmental Quality (IEQ) and this has a direct impact on the perception of comfort and wellbeing of the people who live there. Analysing the adequacy of housing from a comfort perception perspective makes it possible to better design renovation strategies for buildings. The aim of this paper is to define a multidimensional index based on multiple comfort variables to measure household discomfort. The proposed method assigns to each household a level of discomfort according to the comfort variables in which it is affected. Subsequently, these households’ values are aggregated to obtain an overall discomfort value for the society analysed. The evolution of the perception of discomfort from 2008 to 2020, the incidence of each of the variables, and the characteristics of the dwellings with the highest levels of discomfort are studied for Spanish households using the Spanish Survey on Income and Living Conditions. The results highlight a large increase in discomfort in 2020, the year of Covid-19 lockdown in Spain, and reveal that the most affected households are those living in populated areas, in apartments and in rented houses, and that the variable that affects them the most is Acoustic Comfort.
Metabolomics 2023 workshop report: moving toward consensus on best QA/QC practices in LC–MS-based untargeted metabolomics
Authors: Mosley Jonathan D. , Dunn Warwick B. , Kuligowski Julia , Lewis Matthew R. , Monge María Eugenia , Ulmer Holland Candice , Vuckovic Dajana , Zanetti Krista A. , Schock Tracey B. ,   the Metabolomics Quality Assurance, Quality Control Consortium (mQACC)
Published: July 2024

Abstract
Introduction
During the Metabolomics 2023 conference, the Metabolomics Quality Assurance and Quality Control Consortium (mQACC) presented a QA/QC workshop for LC–MS-based untargeted metabolomics.

Objectives
The Best Practices Working Group disseminated recent findings from community forums and discussed aspects to include in a living guidance document.

Methods
Presentations focused on reference materials, data quality review, metabolite identification/annotation and quality assurance.

Results
Live polling results and follow-up discussions offered a broad international perspective on QA/QC practices.

Conclusions
Community input gathered from this workshop series is being used to shape the living guidance document, a continually evolving QA/QC best practices resource for metabolomics researchers.
Comprehensive assessment of groundwater quality in the Prayagraj District, Ganga Basin
Authors: Kumari Bhumika , Keesari Tirumalesh , Roy Annadasankar , Mohokar Hemant , Pant Harish Jagat 
Published: July 2024

Abstract
Urbanization has severely impacted the world water resources especially the shallow groundwater systems. There is a need of a robust method for quantifying the water quality degradation, which is still a challenge for most of the urban centers across the world. In this study, a highly urbanized region of Ganga basin is selected to critically evaluate commonly used WQIs and compare with fuzzy modeling. A total of 28 water samples were collected from diverse sources (surface and groundwaters) in the vicinity of urban region covering an area of 216 km2 during the premonsoon period. TDS, TH, NO3
−, and F− values were found to be above the permissible limits in 57%, 89%, 4%, and 7% samples, respectively. The WQIs (entropy and integrated) outputs were found to be similar with 89% of the samples falling under moderate category. Fuzzy modeling was carried out allowing user-defined weighting factors for the most influential ions, and the output suggested 96% of the samples falling under moderate to excellent categories. Based on the chemical results and considering the lithology of the study area, the geochemical reactions controlling the water quality were deduced. This study outlines a systematic approach of evaluating the overall water quality of an urban region highlighting the merits and limitations of WQIs. It also justifies the immediate need to generate more robust data to achieve the sustainable development goals 6 (clean water and sanitation) and 11 (sustainability of cities and human settlement).

Graphical Abstract
Towards cleaner environment: recycling microalgal co-product to reduce emissions and impacts while eliminating fishmeal in rainbow trout feed for sustainable aquaculture
Authors: Sarker Pallab K. , Figueroa Ebenezer , Kapuscinski Anne R. , McKuin Brandi , Schoffstall Benjamin V. , Fitzgerald Devin , Greenwood Connor , O’Shelski Kira , Pasion Emily Noelle , Gwynne Duncan , Orcajo Diego Gonzalez , Andrade Sofie , Nocera Pablo 
Published: July 2024

AbstractThe rapid increase in aquaculture over the last several decades has led to concerns about the environmental impact of fish feeds relying on marine resources for fishmeal (FM). We aim to assess Nannochloropsis sp. QH25 co-product as a viable and sustainable replacement for FM in juvenile rainbow trout, Oncorhynchus mykiss, feeds. We formulated four experimental diets: a reference (FM based), 33N, 66N, and 100N diet (33%, 66%, and 100% co-product replacement). Rainbow trout were randomly assigned to one of 16 tanks and randomly assigned an experimental diet to consume throughout the experiment (64 days total), with four replicate tanks per diet. We compared the phosphorus (P) and nitrogen (N) digestibility, emissions, and growth between diets and, compared six environmental impacts (biotic resource use (BRU), global warming potential (GWP), water use, land use, marine eutrophication potential (MEP), and freshwater eutrophication potential (FEP)) of each diet. Our results indicate that replacing FM with co-product did not significantly alter growth. P digestibility of the experimental and reference diets was comparable. BRU conversion ratio was significantly lower in the experimental diets. However, there were significantly higher water and land use conversion ratios but insignificantly higher results in GWP, MEP, and FEP between the reference and 100N diet.