bluuebunny/crossref_metadata_2025_split huggingface dataset:
Uncertain vibration response of vehicles passing through barricades based on approximate models
Authors: Sun Lijuan , Wang Minjun 
Published: July 2024

Abstract
In vibration analysis, a vehicle system encounters dimensionality issues due to its high-dimensional uncertain parameters. An approximate model offers a viable solution for analyzing such uncertain responses. This study introduces an efficient approximate model, called PCE-HDMR, which is founded on the Legendre Polynomial Chaos Expansion (PCE) and High-Dimensional Model Representation (HDMR). Specifically, the Legendre PCE in interval space is employed to delineate the lower and upper bounds of uncertain responses. At the same time, the HDMR is harnessed to develop a high-dimensional uncertainty model that approximates the dynamic response. To demonstrate the application of PCE-HDMR, a model for a vehicle with interval parameters was constructed using a 9-DOF dynamics model for testing. In this framework, all stiffness and damping parameters are treated as interval uncertainty parameters. The numerical results validate the effectiveness of the proposed method for high-dimensional uncertain parameters, demonstrating that PCE-HDMR outperforms Monte Carlo simulation (MCS) in terms of efficiency. This study advances an effective interval uncertainty analysis approach for assessing vehicle performance, particularly when dealing with high-dimensional interval uncertainty parameters. The proposed method serves as a viable alternative for interval analysis and subsequent optimization design for complex vehicle systems characterized by high-dimensional uncertain parameters.
Silk fibroin-based flexible pressure sensors: processing and application
Authors: Chen Muhan , Liu Junhong , Hu Yidi , Wu Yujie , Tang Chun-Yan , Ke Kai , Yang Wei 
Published: July 2024

Abstract
With the advent of the internet of things and artificial intelligence, flexible and portable pressure sensors have shown great application potential in human-computer interaction, personalized medicine and other fields. By comparison with traditional inorganic materials, flexible polymeric materials conformable to the human body are more suitable for the fabrication of wearable pressure sensors. Given the consumption of a huge amount of flexible wearable electronics in near future, it is necessary to turn their attention to biodegradable polymers for the fabrication of flexible pressure sensors toward the development requirement of green and sustainable electronics. In this paper, the structure and properties of silk fibroin (SF) are introduced, and the source and research progress of the piezoelectric properties of SF are systematically discussed. In addition, this paper summarizes the advance in the studies on SF-based capacitive, resistive, triboelectric, and piezoelectric sensors reported in recent years, and focuses on their fabrication methods and applications. Finally, this paper also puts forward the future development trend of high-efficiency fabrication and corresponding application of SF-based piezoelectric sensors. It offers new insights into the design and fabrication of green and biodegradable bioelectronics for in vitro and in vivo sensing applications.
Trends in endometrial cancer incidence in the United States by race/ethnicity and age of onset from 2000 to 2019
Authors: Rodriguez Victoria E , Tanjasiri Sora Park , Ro Annie , Hoyt Michael A , Bristow Robert E , LeBrón Alana M W 
Published: July 2024

Abstract
Endometrial cancer is one of few cancers that has continued to rise in incidence over the past decade, with disproportionate increases in adults younger than 50 years old. We used data from the Surveillance, Epidemiology, and End Results Registry (2000-2019) to examine endometrial cancer incidence trends by race/ethnicity and age of onset among women in the United States. Case counts and proportions, age-adjusted incidence rates (per 100 000), and average annual percent changes were calculated by race/ethnicity, overall and stratified by age of onset (early vs late). We found a disproportionate increase in endometrial cancer incidence among women of color, for both early and late onset endometrial cancer. The highest increases in early onset endometrial cancer (&lt;50 years old) were observed among American Indian/Alaska Native women (4.8), followed by Black (3.3), Hispanic/Latina (3.1), and Asian and Pacific Islander women (2.4), whereas White women (0.9) had the lowest increase. Late onset (≥50 years old) endometrial cancer incidence followed a similar pattern, with the greatest increases for women of color. The increasing burden of endometrial cancer among women of color, particularly those younger than 50 years old, is a major public health problem necessitating further research and clinical efforts focused on health equity.
This article is part of a Special Collection on Gynecological Cancer.
From transthyretin cardiac amyloidosis diagnosis to tafamidis treatment: Association of drop-off with patient sociodemographic characteristics
Authors: Walenczyk Kristie M , Singh Avinainder , Tong Kimhouy , Burg Matthew M , Miller Edward J 
Published: July 2024

Abstract

Purpose
Compared to estimated population prevalence rates, relatively few patients at risk are diagnosed with and treated for transthyretin cardiac amyloidosis (ATTR-CA). Where along the clinical pathway patient drop-off occurs, as well as the association of drop-off with patient sociodemographic characteristics, remains unknown.

Methods
Using data from a healthcare system–wide cardiovascular imaging repository and specialty pharmacy, we characterized the clinical pathway from diagnosis with pyrophosphate scintigraphy (PYP) to tafamidis prescription, initiation, and adherence. Standardized differences (d values of ≥0.20, indicating at least a small effect size) were used to compare sociodemographics (age, sex, race, Area Deprivation Index) among patients with PYP-identified ATTR-CA by tafamidis prescription status and among patients prescribed tafamidis by initiation status. Tafamidis adherence was measured with the proportion of days covered (PDC).

Results
Of 97 patients with ATTR-CA, 58.8% were prescribed tafamidis, with 80.7% of those initiating therapy. Patients with ATTR-CA prescribed tafamidis were younger than those not prescribed tafamidis (d = –0.30). Utilization of a specialty pharmacy resulted in enrichment of treatment in subgroups traditionally undertreated in cardiovascular medicine, with higher rates of tafamidis initiation among women (100% initiation), patients of Black/African American race (d = 0.40), and those living in more economically disadvantaged areas (d ≥ 0.30). Adherence was high (PDC of &gt;80%) in 88.4% of those initiating tafamidis.

Conclusion
These findings highlight the tremendous opportunity for more robust ATTR-CA clinical programs, identifying potential patient subgroups that should be targeted to reduce disparities. For patients diagnosed with ATTR-CA, utilization of a specialty pharmacy process appears to ensure equitable provision of tafamidis therapy.
Influence of visual information on sniffing behavior in a routinely trichromatic primate
Authors: Weiß Brigitte M , Widdig Anja 
Published: July 2024

Abstract
Most catarrhine primates are considered to be strongly visually oriented, obtaining information about conspecifics and their environment from a diversity of visual cues. Other sensory modalities may provide information that is redundant and/or complimentary to visual cues. When cues from multiple sensory modalities are available, these may reinforce or suppress each other, as shown in several taxa ranging from insects to humans. Here, we tested how the presence and ambiguity of visual information affect the use of olfactory cues when exploring food and non-food items in semi-free-ranging Barbary macaques at Affenberg Salem, Germany. We presented monkeys with pipes containing food (peanuts, popcorn), non-food (stones, feces), or no items in transparent or opaque containers and assessed whether animals looked, sniffed, and/or grabbed into the pipes depending on the visibility of the contents (experiment 1). Visual information had no robust effect on sniffing probability, but monkeys were more likely to sniff before any other form of inspection if the can was opaque than if it was transparent. Both visual and olfactory information affected, whether or not monkeys attempted to retrieve the items from the pipes, whereby monkeys showed an overall decrease in the propensity to grab after sniffing. Furthermore, we manipulated the visual appearance of familiar food items (popcorn) with food colorant (experiment 2), which resulted in substantially increased olfactory inspections compared to unmanipulated popcorn. Taken together, reliance on the olfactory sense was modulated by the available visual information, emphasizing the interplay between different sensory modalities for obtaining information about the environment.
Antibody design using deep learning: from sequence and structure design to affinity maturation
Authors: Joubbi Sara , Micheli Alessio , Milazzo Paolo , Maccari Giuseppe , Ciano Giorgio , Cardamone Dario , Medini Duccio 
Published: July 2024

AbstractDeep learning has achieved impressive results in various fields such as computer vision and natural language processing, making it a powerful tool in biology. Its applications now encompass cellular image classification, genomic studies and drug discovery. While drug development traditionally focused deep learning applications on small molecules, recent innovations have incorporated it in the discovery and development of biological molecules, particularly antibodies. Researchers have devised novel techniques to streamline antibody development, combining in vitro and in silico methods. In particular, computational power expedites lead candidate generation, scaling and potential antibody development against complex antigens. This survey highlights significant advancements in protein design and optimization, specifically focusing on antibodies. This includes various aspects such as design, folding, antibody–antigen interactions docking and affinity maturation.
Expert perspective on technological choice for cooking energy transition in Nepal
Authors: KC Dipesh , Lohani Sunil Prasad , Shrestha Poushan , Xue Chunyu 
Published: July 2024

Abstract
Solid biomass dominates as the primary source of cooking energy, especially in rural households of Nepal. The use of solid biomass has a detrimental effect on health, exacerbates the burden of biomass collection, and hampers access to clean energy. Understanding the factors influencing the choice of modern cooking fuels is crucial to improving energy security and resilience and easing the transition to clean fuels. This study evaluates technological choices for the transition in cooking energy from the perspective of experts working in the government, non-government, and academia sectors. A structured questionnaire survey was prepared with five criteria and nine cooking technology options. Fifty-one experts responded to the survey, and their responses were analyzed using the analytical hierarchy process. The study reveals that efficiency and capital cost are the primary criteria for selecting cooking technology. The most suitable clean cooking technology is an induction stove followed by a hot plate, while the least preferred technology is a Bayupankhi stove followed by two-pothole mud improved cooking stoves. To ensure the robustness of the method, sensitivity analysis was performed on the two primary criteria efficiency and capital cost of the cooking technology. The analysis revealed robust and consistent rankings of technologies. This study should help create a conducive environment for relevant stakeholders and policymakers to formulate and implement relevant policies and strategies to accelerate the cooking energy transition in Nepal.
Informal Incentives and Labour Markets
Authors: Fahn Matthias , Murooka Takeshi 
Published: July 2024

ABSTRACT
This paper investigates how labour-market tightness affects market outcomes if firms use informal, self-enforcing, agreements to motivate workers. We characterise profit-maximising equilibria and show that an increase in the supply of homogeneous workers can increase wages. Moreover, even though all workers are identical in terms of skills or productivity, profit-maximising discrimination equilibria exist. There, a group of majority workers is paid higher wages than a group of minority workers, who may even be completely excluded. Minimum wages can reduce such discrimination and increase employment. We discuss how these results relate to empirical evidence on downward wage rigidity, immigration, the gender pay gap and credentialism.
Variation and Variability in Skeletal Ossification of the Gray Short-tailed Opossum, Monodelphis domestica
Authors: Morris Z S , Colbert M W , Rowe T B 
Published: July 2024

Synopsis
By reconstructing and comparing the sequence of ontogenetic (embryonic development and post-natal growth) events across species, developmental biologists have gained unique insights into the key processes underlying the evolution of modern lineages and their extinct relatives. However, despite the importance of intraspecific variation to evolutionary transformation and lineage divergence, variation in the sequence of developmental events is seldom acknowledged. Thus, how much variation or variability should be expected during ontogeny remains poorly understood and it is an open question to what extent it impacts interspecific comparisons of developmental patterns. To address this crucial question, we studied the skeletal development of the important biomedical and developmental model organism, Monodelphis domestica. We investigated cranial, forelimb, and hindlimb elements using ontogenetic sequence analysis (OSA) to quantify and assess the full range of variation and variability in the sequence of ossification. Our study documented that previously unrecognized variation exists during M. domestica ontogeny—with over 5000 sequences for the full 92 event analysis. Further, OSA revealed unexpectedly high variability (i.e., the propensity to express variation) in the sequence of ossification for the skull and across the entire skeleton. Reconstructed modal sequences were generally in agreement with previously recognized patterns, including earlier ossification of the facial skeleton and a slight offset between forelimb and hindlimb development. However, the full range of variation shows that the majority of specimens in our analysis followed developmental trajectories distinct from those recovered by prior studies. This level of variation is quite remarkable and demonstrates the importance of assessing intraspecific ontogenetic variation. By quantifying sequence polymorphism and studying how developmental variation and variability differ among species, we can clarify more precisely how developmental patterns differ among species and gain insights into how ontogeny itself evolves.
The evolution of EU competition law and policy in the pharmaceutical sector: long-lasting impacts of a pandemic
Authors: Hosseini Mina 
Published: July 2024

Abstract
This article investigates the evolution of the European Union (EU) competition law and policy enforcement in the pharmaceuticals sector, focusing on the impact of the coronavirus disease 2019 (COVID-19) crisis as a turning point. Before COVID-19, EU competition authorities’ goals and priorities focused on pay-for-delay agreements between originators and generic pharmaceutical undertakings. During COVID-19, the European Commission developed soft laws (such as temporary frameworks and comfort letters) enabling undertakings to cooperate to increase access to essential health products and COVID-19 vaccines. In the post-pandemic era, initiatives like the Pharmaceutical Strategy for Europe, the Single Market Emergency Instrument (SMEI), the Health Emergency Response Authority (HERA), the compulsory licensing proposal and the upcoming changes in the pharmaceutical regulations reflect a patient-centred approach and diverse agenda. This article underscores the move towards a more inclusive EU competition law and policy framework in the pharmaceutical sector as part of this evolution.
Bacterial exopolysaccharide amendment improves the shelf life and functional efficacy of bioinoculant under salinity stress
Authors: Srivastava Sonal , Bhattacharjee Annapurna , Dubey Shubham , Sharma Shilpi 
Published: July 2024

Abstract

Aim
Bacterial exopolysaccharides (EPS) possess numerous properties beneficial for the growth of microbes and plants under hostile conditions. The study aimed to develop a bioformulation with bacterial EPS to enhance the bioinoculant’s shelf life and functional efficacy under salinity stress.

Methods and results
High EPS-producing and salt-tolerant bacterial strain (Bacillus haynessi SD2) exhibiting auxin-production, phosphate-solubilization, and biofilm-forming ability, was selected. EPS-based bioformulation of SD2 improved the growth of three legumes under salt stress, from which pigeonpea was selected for further experiments. SD2 improved the growth and lowered the accumulation of stress markers in plants under salt stress. Bioformulations with varying EPS concentrations (1% and 2%) were stored for 6 months at 4°C, 30°C, and 37°C to assess their shelf life and functional efficacy. The shelf life and efficacy of EPS-based bioformulation were sustained even after 6 months of storage at high temperature, enhancing pigeonpea growth under stress in both control and natural conditions. However, the efficacy of non EPS-based bioformulation declined following four months of storage. The bioformulation (with 1% EPS) modulated bacterial abundance in the plant’s rhizosphere under stress conditions.

Conclusion
The study brings forth a new strategy for developing next-generation bioformulations with higher shelf life and efficacy for salinity stress management in pigeonpea.
KG-LIME: predicting individualized risk of adverse drug events for multiple sclerosis disease-modifying therapy
Authors: Patterson Jason , Tatonetti Nicholas 
Published: July 2024

Abstract

Objective
The aim of this project was to create time-aware, individual-level risk score models for adverse drug events related to multiple sclerosis disease-modifying therapy and to provide interpretable explanations for model prediction behavior.

Materials and Methods
We used temporal sequences of observational medical outcomes partnership common data model (OMOP CDM) concepts derived from an electronic health record as model features. Each concept was assigned an embedding representation that was learned from a graph convolution network trained on a knowledge graph (KG) of OMOP concept relationships. Concept embeddings were fed into long short-term memory networks for 1-year adverse event prediction following drug exposure. Finally, we implemented a novel extension of the local interpretable model agnostic explanation (LIME) method, knowledge graph LIME (KG-LIME) to leverage the KG and explain individual predictions of each model.

Results
For a set of 4859 patients, we found that our model was effective at predicting 32 out of 56 adverse event types (P &lt; .05) when compared to demographics and past diagnosis as variables. We also assessed discrimination in the form of area under the curve (AUC = 0.77 ± 0.15) and area under the precision-recall curve (AUC-PR = 0.31 ± 0.27) and assessed calibration in the form of Brier score (BS = 0.04 ± 0.04). Additionally, KG-LIME generated interpretable literature-validated lists of relevant medical concepts used for prediction.

Discussion and Conclusion
Many of our risk models demonstrated high calibration and discrimination for adverse event prediction. Furthermore, our novel KG-LIME method was able to utilize the knowledge graph to highlight concepts that were important to prediction. Future work will be required to further explore the temporal window of adverse event occurrence beyond the generic 1-year window used here, particularly for short-term inpatient adverse events and long-term severe adverse events.
Wide-binary eccentricity distribution in young star clusters: dependence on the binary separation and mass
Authors: Mathew Sajay Sunny , Xu Siyao , Federrath Christoph , Hu Yue , Seta Amit 
Published: July 2024

ABSTRACT
We study the wide-binary eccentricity (e) distribution in young star clusters and the role of turbulence in setting the form of the e distribution using magnetohydrodynamical simulations of star cluster formation. The simulations incorporate gravity, turbulence, magnetic fields, protostellar heating, and jets/outflows. We find that (1) simulations that employ purely compressive turbulence driving produce binaries with a superthermal e distribution [$\alpha \gt 1$ in $p(e) \propto e^\alpha$], while simulations with purely solenoidal driving or natural mixture of driving modes produce subthermal/thermal distributions ($\alpha \le$ 1), (2) the e distribution over the full range of binary separations in our simulations is set at the early stages of the star cluster formation process, (3) while binaries (separation of $r_{\mathrm{pair}} \le 1000\, \mathrm{AU}$) have subthermal to thermal e distributions ($\alpha \sim 0.8$), wide binaries ($r_{\mathrm{pair}} \gt 1000\, \mathrm{AU}$) have a superthermal distribution ($\alpha \sim 1.8$), and (4) low-mass binary systems (system masses of $M_{\mathrm{sys}} \le 0.8\, \mathrm{M_\odot }$) have a highly superthermal distribution ($\alpha \sim 2.4$), whereas high-mass systems ($M_{\mathrm{sys}} \gt 0.8\, \mathrm{M_\odot }$) exhibit a subthermal/thermal distribution ($\alpha \sim 0.8$). The binary eccentricity distribution is often modelled as a thermal distribution. However, our results suggest that the e distribution depends on the range of separation of the sampled binaries, which agrees with the findings from recent Gaia observations. We conclude that the dependence of the e distribution on the binary separation and mass is linked to the binary formation mechanism governed by the turbulent properties of the parent cloud.
Forum Marketing in International Commercial Courts?
Authors: Antonopoulou Georgia 
Published: July 2024

Abstract
Forum selling is a legal term used to describe the practices of courts and judges, geared towards attracting cases, such as increasing the predictability of judgments or speeding up trials. However, do courts also go beyond forum selling to attract cases? Taking international commercial courts as its focus, this article explores how these courts market themselves to attract cases and coins the term ‘forum marketing’. It demonstrates that the courts’ recent establishment, coupled with their voluntary jurisdiction, creates a compelling context, which encourages them to engage in forum marketing. The article argues that forum marketing is not merely a byproduct of the competition in commercial dispute resolution, but a powerful mechanism with deeply persuasive, normative and, effectively, structuring properties. Forum marketing is central to disseminating and reinforcing a pro-business approach in civil justice, consequently setting the stage for procedural inequality and a one per cent procedure.
Moral psychology as soul-picture
Authors: Russell Francey 
Published: July 2024

AbstractIris Murdoch offers a distinctive conception of moral psychology. She suggests that to develop a moral psychology is to develop what she calls a soul-picture; different philosophical moral psychologies are, as she puts it, ‘rival soul-pictures’. In this paper, I clarify Murdoch's generic notion of ‘soul-picture’, the genus of which, for example, Aristotle's, Kant's, Nietzsche's, and Murdoch's constitute rival species. Are all philosophical moral psychologies soul-pictures? If not, what are the criteria that a moral psychology must meet in order to qualify as a soul-picture? I propose five key dimensions. A soul-picture provides a picture of the soul or self, that is (1) holistic, (2) value-rich and psychologically realistic (for Murdoch these are intertwined), (3) reflexive, (4) therapeutic, and (5) the articulation of which makes use of imaginative language.