bluuebunny/crossref_metadata_2025_split huggingface dataset:
A combined musculoskeletal and finite element model of a foot to predict plantar pressure distribution
Authors: Kamal Zeinab , Hekman Edsko E G , Verkerke Gijsbertus J 
Published: January 2024

Abstract
In this study, a combined subject-specific numerical and experimental investigation was conducted to explore the plantar pressure of an individual. The research utilized finite element (FE) and musculoskeletal modelling based on computed tomography (CT) images of an ankle-foot complex and three-dimensional gait measurements. Muscle forces were estimated using an individualized multi-body musculoskeletal model in five gait phases. The results of the FE model and gait measurements for the same subject revealed the highest stress concentration of 0.48 MPa in the forefoot, which aligns with previously-reported clinical observations. Additionally, the study found that the encapsulated soft tissue FE model with hyper-elastic properties exhibited higher stresses compared to the model with linear-elastic properties, with maximum ratios of 1.16 and 1.88 MPa in the contact pressure and von-Mises stress, respectively. Furthermore, the numerical simulation demonstrated that the use of an individualized insole caused a reduction of 8.3% in the maximum contact plantar pressure and 14.7% in the maximum von-Mises stress in the encapsulated soft tissue. Overall, the developed model in this investigation holds potential for facilitating further studies on foot pathologies and the improvement of rehabilitation techniques in clinical settings.
Optimal control of large quantum systems: assessing memory and runtime performance of GRAPE
Authors: Lu Yunwei , Joshi Sandeep , San Dinh Vinh , Koch Jens 
Published: January 2024

Abstract
Gradient Ascent Pulse Engineering (GRAPE) is a popular technique in quantum optimal control, and can be combined with automatic differentiation (AD) to facilitate on-the-fly evaluation of cost-function gradients. We illustrate that the convenience of AD comes at a significant memory cost due to the cumulative storage of a large number of states and propagators. For quantum systems of increasing Hilbert space size, this imposes a significant bottleneck. We revisit the strategy of hard-coding gradients in a scheme that fully avoids propagator storage and significantly reduces memory requirements. Separately, we present improvements to numerical state propagation to enhance runtime performance. We benchmark runtime and memory usage and compare this approach to AD-based implementations, with a focus on pushing towards larger Hilbert space sizes. The results confirm that the AD-free approach facilitates the application of optimal control for large quantum systems which would otherwise be difficult to tackle.
A novel hybrid multi-criteria optimization of 3D printing process using grey relational analysis (GRA) coupled with principal component analysis (PCA)
Authors: Ranjan Rajeev , Saha Abhijit 
Published: January 2024

Abstract
Fused deposition modeling (FDM) is renowned as a prominent approach in the realm of 3D printing, where objects are built layer by layer using a heated nozzle to extrude melted materials. This research was conducted to identify the most effective FDM process variables to enhance tensile strength while simultaneously reducing surface roughness. Polylactic Acid (PLA) was chosen to fabricate test samples, showcasing the applications of 3D printing. In the course of this research, we conducted a series of 27 experiments to investigate the fundamental relationship between the parameters and the corresponding responses. The central aim of this study lies in optimizing the input variables viz. printing speed, layer thickness, and carbon deposition (C-deposition) for the technological manufacturing process of embossing parts in the context of Industry 4.0. To enhance both tensile strength and surface roughness simultaneously, a new hybrid method has been suggested. This approach integrates grey relational analysis (GRA) with principal component analysis (PCA) to determine the optimal combination of process parameters in the 3D printing process. Notably, the experiment trial exhibited the highest grey relational grade (GRG), indicating optimal process parameter settings at a printing speed of 100 mm s−1, layer thickness of 0.1 mm, and C-deposition of 15 mg respectively. Additionally, mathematical models are created through response surface methodology to explore the impact of FDM parameters on the grey relational grade. The findings from this study can be utilized in various industries and applications where FDM 3D printing is employed.
Climate impacts of digital use supply chains
Authors: Shi Lin , Brandt Adam , Iancu Dan , Mach Katharine J , Field Chris , Cho Mu-Jung , Ng Michelle , Chey Kyung Jin (Sarah) , Ram Nilam , Robinson Thomas , Reeves Byron 
Published: January 2024

Abstract
Information and communications technology (ICT) has become an indispensable part of our lives. Prior research on climate impact of ICT devices and services mostly makes use of life cycle assessment and energy modeling frameworks focused on embodied greenhouse gas (GHG) emissions. Because these perspectives emphasize the GHGs emissions associated with the construction and distribution of digital devices along production supply chains, not much is known about the GHGs emissions monitored or facilitated by digital device use. In this study, we propose the concept of digital use supply chains (DUSCs) as an orthogonal dimension of digital devices’ life cycle. DUSC refers to the production activities and resource consumption recorded by digital devices. We propose a framework to conceptualize and quantify digital behavior-related GHGs emissions through use of the Screenomics paradigm, where users’ digital screen data are unobtrusively collected moment-by-moment. Through Screenomics’ granular recording of users’ digital behavior, we evaluate behavior-based GHGs emissions traced by the digital devices. DUSC connects individual’s digital behaviors to their global climate change impact, contributing to a more nuanced and complete evaluation of the climate impacts of the digital economy. Our single-case study indicates the estimated scale of the GHGs emissions linked to a user’s one-day digital activities could be three orders of magnitude (1000 times) higher than the emissions associated with the device life cycle alone. DUSC could enable climate change mitigation at a meaningful, actionable level through personalized educational or behavior change programs, and also facilitate novel data-driven feedback loops that may provide digital device users with insights into their personal climate impacts. Recognition and future study of DUSC could accelerate the quantification and standardization of a ‘carbon handprint’ of digital devices and create positive climate impacts from digital products and services.
Social media engagement in health and climate change: an exploratory analysis of Twitter
Authors: Golder Su , Graham Hilary 
Published: January 2024

Abstract
Social media are increasingly used by the public to share information and opinions. This study explores social media engagement in health and climate change through an analysis of English-language posts on Twitter, one of the most widely-used platforms. We searched Twitter from 21 March 2023 to 11 May 2023 for posts related to climate change using climate-related textwords and hashtags; we then used health keywords (‘health’, ‘wellbeing’, ‘illness’, ‘illnesses’, ‘disease’, ‘death’) to identify posts related to health. Focusing on posts from general public users, we investigated the proportion of climate change posts referring to health and, for a random sample of these tweets, undertook a content analysis to identify the ways in which climate change and health were represented. The content analysis drew on media research on ‘framing’, a selective process through which particular aspects of an issue—for example, its causes, impacts and solutions—are highlighted. 668 810 posts related to climate change were posted during the study period. Health-related text words were included in 2.3% (15 434) of these posts. The content analysis pointed to two divergent frames. The first frame represents climate change as real, with real effects on people’s health. The second frame portrays climate change as a hoax, with hoax-generated health effects. While the ‘reality’ frame does not engage with the hoax frame, the latter provides an insistent counter-narrative that questions trust in mainstream science and government policy. Neither frame engages with people’s experiences of health and climate change. In conclusion, our study points to low levels of engagement in health in a key forum for public discussions about climate change. It also asks whether the failure of the ‘reality’ frame to engage either with people’s lived experiences or with hoax framings may be contributing to a polarised debate about climate change and health and hindering consensus-building.
Optimization of national grain imports to balance risk and return: a portfolio theory approach
Authors: Karakoc Deniz Berfin , Konar Megan 
Published: January 2024

Abstract
Global grain trade plays a key role in food security. Many nations rely on imported grain to meet their dietary requirements. Grain imports may be at risk due to weather shocks, economic crises, or international conflicts. Countries aim to balance import risk with the expected return of their grain supplies. This research brings these dual objectives together in an innovative modern portfolio theory framework. Modern portfolio theory provides a set of concepts to formulate the trade-off between risk and expected return in national grain imports. Using Markowitz’s mean-variance optimization model, we identify opportunities to reduce risk in existing national grain import accounts, without increasing costs under realistic supply mass constraints of trade partners. Several major grain importers may be able to reduce risk in their grain imports without increasing cost, such as wheat imports in Egypt, maize imports in Vietnam, and rice imports in Saudi Arabia. However, some countries would indeed have to pay more to achieve more stable grain supplies, such as wheat imports in Turkey. This study provides a framework to quantify the different costs, benefits, and levels of risk in grain trade that can inform future research and decision-making.
Illiterate Addenbrooke’s Cognitive Examination-III in Three Indian Languages: An Adaptation and Validation Study
Authors: Bhattacharyya Bidisha , Paplikar Avanthi , Varghese Feba , Das Gautam , Shukla Vasundhara , Arshad Faheem , Gupta Aakansha , Mekala Shailaja , Mukherjee Adreesh , Mukherjee Ruchira , Venugopal Aparna , Tripathi Manjari , Ghosh Amitabha , Biswas Atanu , Alladi Suvarna 
Published: January 2024

Abstract

Background
Literacy is an important factor that predicts cognitive performance. Existing cognitive screening tools are validated only in educated populations and are not appropriate for older adults with little or no education leading to poor performance on these tests and eventually leading to misdiagnosis. This challenge for clinicians necessitates a screening tool suitable for illiterate or low-literate older individuals.

Objectives
The objective was to adapt and validate Addenbrooke’s Cognitive Examination-III (ACE-III) for screening general cognitive functions in illiterate and low-literate older populations in the Indian context in three languages.

Method
The Indian illiterate ACE-III was systematically adapted by modifying the original items of the Indian literate ACE-III to assess the cognitive functions of illiterates and low-literates with the consensus of an expert panel of professionals working in the area of dementia and related disorders. A total of 180 illiterate or low-literate participants (84 healthy-controls, 50 with dementia, and 46 with mild cognitive impairment [MCI]) were recruited from three different centers speaking Bengali, Hindi, and Kannada to validate the adapted version.

Results
The optimal cut-off score for illiterate ACE-III to distinguish controls from dementia in all 3 languages was 75. The optimal cut-off scores in distinguishing between controls and MCI ranged from 79 to 82, with a sensitivity ranging from 93% to 99% and a specificity ranging from 72% to 99%.

Conclusion
The test is found to have good psychometric properties and is a reliable cognitive screening tool for identifying dementia and MCI in older adults with low educational backgrounds in the Indian context.
Comparison of Plasma Concentration of Linezolid’s Detection by FICA and LC–MS/MS
Authors: Chen Jing , Zhu Chenxia , He Yangjin , Cao Hengbin 
Published: January 2024

Abstract
Linezolid was the first totally synthetic oxazolidinone antibiotic that was approved for clinical use against Mycobacterium tuberculosis. Our study investigated the correlation and consistency of fluorescence immunochromatography assay (FICA) and high-performance liquid chromatography–tandem mass spectrometry (LC–MS/MS) in measuring linezolid levels in the plasma. Plasma samples were collected from 80 to 100 tuberculosis patients. The samples were analyzed by FICA and LC–MS/MS, and linezolid levels measured by the two methods were compared by outlier test, correlation coefficient, Bland–Altman scatter plot, Deming regression analysis and bias evaluation. A total of 83 plasma samples were collected, all of which were non-outlier. The correlation coefficient of FICA and LC–MS/MS results was 0.9845. Deming regression analysis showed that the regression equation of FICA and LC–MS/MS was y = 0.2229 + 1.0076x. The medical decision levels of 2 and 7 μg/mL were taken into the regression equation, and the 95% CI of 2- and 7-μg/mL bias were both within the allowed error range. The findings indicated a strong correlation between the results obtained from FICA and LC–MS/MS were consistent showed good correlation, demonstrating their equivalence in measurement.
Efficient healthcare with large language models: optimizing clinical workflow and enhancing patient care
Authors: Tripathi Satvik , Sukumaran Rithvik , Cook Tessa S 
Published: January 2024

Abstract

Purpose
This article explores the potential of large language models (LLMs) to automate administrative tasks in healthcare, alleviating the burden on clinicians caused by electronic medical records.

Potential
LLMs offer opportunities in clinical documentation, prior authorization, patient education, and access to care. They can personalize patient scheduling, improve documentation accuracy, streamline insurance prior authorization, increase patient engagement, and address barriers to healthcare access.

Caution
However, integrating LLMs requires careful attention to security and privacy concerns, protecting patient data, and complying with regulations like the Health Insurance Portability and Accountability Act (HIPAA). It is crucial to acknowledge that LLMs should supplement, not replace, the human connection and care provided by healthcare professionals.

Conclusion
By prudently utilizing LLMs alongside human expertise, healthcare organizations can improve patient care and outcomes. Implementation should be approached with caution and consideration to ensure the safe and effective use of LLMs in the clinical setting.
Feasibility of cross-vendor linkage of ophthalmic images with electronic health record data: an analysis from the IRIS Registry®
Authors: Mbagwu Michael , Chu Zhongdi , Borkar Durga , Koshta Alex , Shah Nisarg , Torres Aracelis , Kalvaria Hylton , Lum Flora , Leng Theodore 
Published: January 2024

Abstract

Purpose
To link compliant, universal Digital Imaging and Communications in Medicine (DICOM) ophthalmic imaging data at the individual patient level with the American Academy of Ophthalmology IRIS® Registry (Intelligent Research in Sight).

Design
A retrospective study using de-identified EHR registry data.

Subjects, Participants, Controls
IRIS Registry records.

Materials and Methods
DICOM files of several imaging modalities were acquired from two large retina ophthalmology practices. Metadata tags were extracted and harmonized to facilitate linkage to the IRIS Registry using a proprietary, heuristic patient-matching algorithm, adhering to HITRUST guidelines. Linked patients and images were assessed by image type and clinical diagnosis. Reasons for failed linkage were assessed by examining patients' records.

Main Outcome Measures
Success rate of linking clinicoimaging and EHR data at the patient level.

Results
A total of 2 287 839 DICOM files from 54 896 unique patients were available. Of these, 1 937 864 images from 46 196 unique patients were successfully linked to existing patients in the registry. After removing records with abnormal patient names and invalid birthdates, the success linkage rate was 93.3% for images. 88.2% of all patients at the participating practices were linked to at least one image.

Conclusions and Relevance
Using identifiers from DICOM metadata, we created an automated pipeline to connect longitudinal real-world clinical data comprehensively and accurately to various imaging modalities from multiple manufacturers at the patient and visit levels. The process has produced an enriched and multimodal IRIS Registry, bridging the gap between basic research and clinical care by enabling future applications in artificial intelligence algorithmic development requiring large linked clinicoimaging datasets.
Anticipation in the biosciences and the human right to science
Authors: Boggio Andrea 
Published: January 2024

Abstract
Anticipation entails contemplating the beneficial and harmful impacts of scientific and technological progress. Anticipation has a long history in science, technology, and innovation policy partly due to future impacts of scientific progress being inescapable. The link between anticipation, an undertheorized concept, and human rights law is yet to be fully explored. This paper links anticipation to the rights to science, a lesser-studied human right codified in the International Covenant on Economic, Social, and Cultural Rights. The paper argues that the normative content of the right includes anticipation entitlements and duties. Combining the entitlements and duties with anticipation typologies leads to identifying three forms of anticipation that governments (and, in some cases, scientists) must carry out: beneficial, responsible, and participatory anticipation. The paper concludes by identifying three ways in which further conceptual work can enrich human-rights-based anticipation.
Offshore oil and gas infrastructure electrification and offshore wind: a legal exploration
Authors: Herrera Anchustegui Ignacio , Tscherning Rudiger 
Published: January 2024

Abstract
The oil and gas and renewable energy sectors are increasingly coming together as traditional hydrocarbon producers are exploring the large-scale integration of renewables in fossil-fuel projects. One option is the electrification of oil and gas production platforms in the offshore environment utilizing offshore wind energy to power the asset’s operations. This article assesses the rationale for such a shift as well as regulatory avenues and barriers to the electrification of offshore oil and gas assets through offshore wind energy technology. While the article’s explorations are of a general conceptual nature, this article studies existing and planned developments in Norway and Atlantic Canada.
This article discusses key factors to determine the legal nature of different electrification project models and proposes solutions to identify the likely legislative and regulatory regime(s) which will govern. The article concludes that reforms for a forward-thinking legal and regulatory environment for the offshore space will have to re-examine the role of existing (platform) and new (wind but also oil and gas) offshore infrastructure and the associated regime that applies to these projects. Currently, in the Norwegian and Canadian contexts, these discussions are somewhat exploratory. They do, however, underline the importance of planning the co-development of offshore wind energy projects with existing and future oil and gas projects and to highlight the need for greater clarity in the evolving design of legal and regulatory frameworks to support the future of the global offshore energy sector.
The most variable VVV sources: eruptive protostars, dipping giants in the nuclear disc and others
Authors: Lucas P W , Smith L C , Guo Z , Contreras Peña C , Minniti D , Miller N , Alonso-García J , Catelan M , Borissova J , Saito R K , Kurtev R , Navarro M G , Morris C , Muthu H , Froebrich D , Ivanov V D , Bayo A , Caratti o Garatti A , Sanders J L 
Published: January 2024

ABSTRACT
We have performed a comprehensive search of a VISTA Variables in the Via Lactea (VVV) data base of 9.5 yr light curves for variable sources with ΔKs ≥ 4 mag, aiming to provide a large sample of high amplitude eruptive young stellar objects (YSOs) and detect unusual or new types of infrared variable source. We find 222 variable or transient sources in the Galactic bulge and disc, most of which are new discoveries. The sample mainly comprises novae, YSOs, microlensing events, Long Period Variable stars (LPVs), and a few rare or unclassified sources. Additionally, we report the discovery of a significant population of aperiodic late-type giant stars suffering deep extinction events, strongly clustered in the Nuclear Disc of the Milky Way. We suggest that these are metal-rich stars in which radiatively driven mass loss has been enhanced by super-solar metallicity. Among the YSOs, 32/40 appear to be undergoing episodic accretion. Long-lasting YSO eruptions have a typical rise time of ∼2 yr, somewhat slower than the 6–12 month time-scale seen in the few historical events observed on the rise. The outburst durations are usually at least 5 yr, somewhat longer than many lower amplitude VVV events detected previously. The light curves are diverse in nature, suggesting that multiple types of disc instability may occur. Eight long-duration extinction events are seen wherein the YSO dims for a year or more, attributable to inner disc structure. One binary YSO in NGC 6530 displays periodic extinction events (P=59 d) similar to KH 15D.
Mass estimates from optical modelling of the new TRAPUM redback PSR J1910−5320
Authors: Dodge O G , Breton R P , Clark C J , Burgay M , Strader J , Au K -Y , Barr E D , Buchner S , Dhillon V S , Ferrara E C , Freire P C C , Griessmeier J -M , Kennedy M R , Kramer M , Li K -L , Padmanabh P V , Phosrisom A , Stappers B W , Swihart S J , Thongmeearkom T 
Published: January 2024

ABSTRACT
Spider pulsars continue to provide promising candidates for neutron star mass measurements. Here we present the discovery of PSR J1910−5320, a new millisecond pulsar discovered in a MeerKAT observation of an unidentified Fermi-LAT gamma-ray source. This pulsar is coincident with a recently identified candidate redback binary, independently discovered through its periodic optical flux and radial velocity. New multicolour optical light curves obtained with ULTRACAM/New Technology Telescope in combination with MeerKAT timing and updated SOAR/Goodman spectroscopic radial velocity measurements allow a mass constraint for PSR J1910−5320. icarus optical light curve modelling, with streamlined radial velocity fitting, constrains the orbital inclination and companion velocity, unlocking the binary mass function given the precise radio ephemeris. Our modelling aims to unite the photometric and spectroscopic measurements available by fitting each simultaneously to the same underlying physical model, ensuring self-consistency. This targets centre-of-light radial velocity corrections necessitated by the irradiation endemic to spider systems. Depending on the gravity darkening prescription used, we find a moderate neutron star mass of either 1.6 ± 0.2 or 1.4 ± 0.2 M⊙. The companion mass of either 0.45 ± 0.04 or $0.43^{+0.04}_{-0.03}$M⊙ also further confirms PSR J1910−5320 as an irradiated redback spider pulsar.