bluuebunny/crossref_metadata_2025_split huggingface dataset:
Accelerating segmentation of fossil CT scans through Deep Learning
Authors: Knutsen Espen M. , Konovalov Dmitry A. 
Published: September 2024

AbstractRecent developments in Deep Learning have opened the possibility for automated segmentation of large and highly detailed CT scan datasets of fossil material. However, previous methodologies have required large amounts of training data to reliably extract complex skeletal structures. Here we present a method for automated Deep Learning segmentation to obtain high-fidelity 3D models of fossils digitally extracted from the surrounding rock, training the model with less than 1%-2% of the total CT dataset. This workflow has the capacity to revolutionise the use of Deep Learning to significantly reduce the processing time of such data and boost the availability of segmented CT-scanned fossil material for future research outputs. Our final Unet segmentation model achieved a validation Dice similarity of 0.96.
Lipidomics profiling and circulating triglyceride concentrations in sub-Saharan African individuals
Authors: Bentley Amy R. , Doumatey Ayo P. , Zhou Jie , Lei Lin , Meeks Karlijn A. C. , Heuston Elisabeth F. , Rotimi Charles N. , Adeyemo Adebowale A. 
Published: September 2024

AbstractElevated triglycerides (TG) are a risk factor for cardiometabolic disorders. There are limited data on lipidomics profiles associated with serum triglycerides concentrations, although these could advance our understanding of the mechanisms underlying these associations. We conducted a lipidomics study of 308 Nigerians with replication in 199 Kenyans. Regression models were used to assess the association of TG with 480 lipid metabolites. Association and mediation analyses were conducted to determine the relationship among TG, metabolites, and several cardiometabolic traits. Ninety-nine metabolites were significantly associated with TG, and 91% of these associations replicated. Overrepresentation analysis identified enrichment of diacylglycerols, monoacylglycerols, diacylglycerophosphoethanolamines, monoacylglycerophosphocholines, ceramide phosphocholines, and diacylglycerophosphocholines. TG-cardiometabolic trait associations were largely mediated by TG-associated metabolites. Associations with type 2 diabetes, waist circumference, body mass index, total cholesterol, and low-density lipoprotein cholesterol concentration were independently mediated by metabolites in multiple subpathways. This lipidomics study in sub-Saharan Africans demonstrated that TG is associated with several non-TG lipids classes, including phosphatidylethanolamines, phosphatidylcholines, lysophospholipids, and plasmalogens, some of which may mediate the effect of TG as a risk factor for cardiometabolic disorders. The study identifies metabolites that are more proximal to cardiometabolic traits, which may be useful for understanding the underlying biology as well as differences in TG-trait associations across ancestries.
Microbubbles bound to drug-eluting beads enable ultrasound imaging and enhanced delivery of therapeutics
Authors: Owen Joshua , Negussie Ayele H. , Burks Scott R. , Delgado Jose , Mikhail Andrew S. , Rivera Jocelyne , Pritchard William F. , Karanian John W. , Stride Eleanor , Frank Joseph A. , Wood Bradford J. 
Published: September 2024

AbstractTransarterial chemoembolization (TACE) is an image-guided minimally invasive treatment for liver cancer which involves delivery of chemotherapy and embolic material into tumor-supplying arteries to block blood flow to a liver tumor and to deliver chemotherapy directly to the tumor. However, the released drug diffuses only less than a millimeter away from the beads. To enhance the efficacy of TACE, the development of microbubbles electrostatically bound to the surface of drug-eluting beads loaded with different amounts of doxorubicin (0–37.5 mg of Dox/mL of beads) is reported. Up to 400 microbubbles were bound to Dox-loaded beads (70–150 microns). This facilitated ultrasound imaging of the beads and increased the release rate of Dox upon exposure to high intensity focused ultrasound (HIFU). Furthermore, ultrasound exposure (1 MPa peak negative pressure) increased the distance at which Dox could be detected from beads embedded in a tissue-mimicking phantom, compared with a no ultrasound control.
Evaluating heat stress and occupational risks in the Southern Himalayas under current and future climates
Authors: Yang Xiaoye , Shen Cheng , Ullah Irfan , Curio Julia , Chen Deliang 
Published: September 2024

AbstractThe southern Himalayas, characterized by its dense population and hot, humid summers, are confronted with some of the world’s most severe heat stress risks. This study uses the hourly ERA5 dataset (1979–2022) and CMIP6 projections (2005–2100) to evaluate past and future heat stress based on the Wet Bulb Globe Temperature (WBGT). This has significant implications for the management of occupational workloads in the southern Himalayas. Heat stress levels are classified into 6 categories (0 to 5) using WBGT threshold intervals of 23 °C, 25 °C, 28 °C, 30 °C, and 33 °C. With heat stress surpassing level 3 for almost half of the time, people are constrained to engage in less than moderate workloads to ensure their health remains uncompromised. Flow-analogous algorithm is employed to contextualize the unprecedented heat stress case in the summer of 2020 and the associated atmospheric circulation patterns from historical and future perspectives. The results show that over 80% of the time in 2020, heat stress levels were at 3 and 4. The identified circulation pattern explains 27.6% of the extreme intensity, and such an extreme would have been nearly impossible in pre-21st-century climate conditions under the identified pattern. Future projections under SSP2-4.5 and SSP5-8.5 scenarios indicate that heat stress similar to what was experienced in 2020 will likely become a common occurrence across the southern Himalayas. Under a similar circulation pattern, the heat stress levels by the end of the 21st century would be elevated by at least one category compared to the climatic baseline in over 70% of the region, leading to an additional 120.5 (420.1) million daily population exposed to the highest heat stress level under the SSP2-4.5 (SSP5-8.5) scenario.
Multi-band ultrathin reflective metasurface for linear and circular polarization conversion in Ku, K, and Ka bands
Authors: Khan Humayun Zubair , Jabbar Abdul , Kazim Jalil ur Rehman , Ur Rehman Masood , Imran Muhammad Ali , Abbasi Qammer H. 
Published: September 2024

AbstractLinear polarization (LP) and circular polarization (CP) holds paramount importance in Ku, K, and Ka bands for satellite based communication, and remote sensing applications. Satellite based remote sensing applications face challenges like atmospheric attenuation, noise & interference, and signal degradation. Moreover, satellite based communication application demands CP in two distinct, non-adjacent frequency bands with orthogonal polarizations at greater oblique angles, considering the unpredictable incidence angles of electromagnetic (EM) waves. Addressing these challenges, an innovative metasurface polarization converter is proposed to operate efficiently across the Ku-band (13.5–18.0 GHz), K-band (18.0–26.5 GHz), and Ka-band (26.5–38.5 GHz) frequency ranges. The converter achieves left-handed circular polarization (LHCP) in the Ku- and Ka-bands within the frequency ranges of 14.57–15.65 GHz and 27.47–33.85 GHz for y-polarized incident EM waves. Additionally, it provides right-handed circular polarization (RHCP) in the K- and Ka-bands at 17.27–23.92 GHz and 35.87–38.32 GHz for y-polarized incident EM waves. The LP conversion ratio exceeds 95% in the frequency bands of 15.97–16.85 GHz, 24.70–26.65 GHz, and 34.37–35.45 GHz for y-polarized, LHCP, and RHCP incident EM waves, respectively. The metasurface exhibits robust performance up to incidence angles of 45 degrees under oblique conditions. Experimental validation using traditional board-circuit manufacturing demonstrates close agreement between measured co- and cross-polarized reflection coefficients and simulations in the 13.5–18 GHz, and 24–38.5 GHz frequency range. Thin metasurface with a thickness of only 0.64 = 0.013λo mm, the proposed design outperforms existing studies in the literature, establishing its competitive edge in terms of structure and performance.
Wireless quantum optical communications with uncorrelated scattering multipath reception
Authors: Jung Peter , Bruck Guido Horst 
Published: September 2024

AbstractWireless quantum optical communications over multipath channels with uncorrelated scattering still seem to be an open issue, although classical optical transmission was already considered, however, neglecting Bose–Einstein distributed thermal noise photons, leading to results that cannot be applied here. A viable way forward is proposed.
Are lithium-rich giants binaries? A radial velocity variability analysis of 1400 giants
Authors: Castro-Tapia Matias , Aguilera-Gómez Claudia , Chanamé Julio 
Published: September 2024

Context. The existence of low-mass giants with large amounts of lithium (Li) in their surfaces has challenged stellar evolution for decades. One of the possibilities usually discussed in the literature to explain these Li-rich giants involves the interaction with a close binary companion, a scenario that predicts that, when compared against their non-enriched counterparts, Li-rich giants should preferentially be found as part of binary systems.
Aims. We aim to assemble the largest possible sample of low-mass giants with well-measured Li abundances, to determine with high statistical significance the close binary fractions of Li-rich and Li-normal giants, and thus test the binary interaction scenario for the emergence of Li-rich giants.
Methods. We developed a method that uses radial velocities (RVs) at three different epochs to quantify the degree of RV variability, which we used as a proxy for the presence of a close binary companion. The method was tested and calibrated against samples of known RV standard stars and known spectroscopic binaries. We then assembled a sample of 1418 giants with available RVs from RAVE, GALAH, and Gaia, as well as stellar parameters and Li abundances from GALAH, to which we applied our variability classification. We could determine an evolutionary state for 1030 of these giants. We also compared the results of our RV variability analysis with binarity indicators from the Gaia mission.
Results. When applying our methodology to the control samples, we found that the accuracy of the classification is controlled by the precision of the RVs used in the analysis. For the set of RVs available for the giants, this accuracy is 80–85%. Consistent with seismic studies, the resulting sample of giants contains a fraction of Li-rich objects in the red clump (RC) that is twice as large as that in the first ascent red giant branch (RGB). Among RC giants, the fractions of Li-rich objects with a high RV variability and with no RV variability are the same as those for Li-normal objects, but we find some evidence that these fractions may be different for giants in the first-ascent RGB. Analysis of binary indicators in Gaia DR3 shows a smaller fraction of binary giants than our criteria, but no relation can be seen between Li enrichment and binarity either.
Conclusions. Our RV variability analysis indicates that there is no preference for Li-rich giants in the RC to be part of binary systems, thus arguing against a binary interaction scenario for the genesis of the bulk of Li-rich giants at that evolutionary stage. On the other hand, Li-rich giants in the RGB appear to have a small but measurable preference for having close companions, something that deserves further scrutiny with more and better data. Additional measurements of the RVs of these giants at a higher RV precision would greatly help in confirming and more robustly quantifying these results.
Clinical utility of a novel anchor pronged clip for mucosal defect closure after colorectal endoscopic submucosal dissection (with video)
Authors: Shiomi Daijiro , Tanabe Mayo , Uragami Naoyuki , Toshimori Akiko , Kawamata Natsuki , Muraoka Mikio , Miyake Rei , Kure Masayoshi , Nakamura Hatsuka , Komagata Akinori , Kakazu Tomoaki , Kishi Yumi , Hayashi Takemasa , Ito Takayoshi , Yokoyama Noboru , Inoue Haruhiro 
Published: September 2024

Abstract
Background and study aims The MANTIS Clip (Boston Scientific) is a novel anchor pronged clip designed to enhance tissue grasping and facilitate the closure of defects in the gastrointestinal tract. This study evaluates the feasibility and effectiveness of the MANTIS Clip for closing mucosal defects following colorectal endoscopic submucosal dissection (C-ESD).
Patients and methods A retrospective single-center study was conducted on patients who underwent C-ESD with MANTIS Clip closure from May 2023 to April 2024. The primary outcome measured was the complete closure success rate. Secondary outcomes included defect size, sustained closure rate, closure time, number of clips used, adverse events (AEs), and hospital stay duration.
Results The MANTIS Clip was used in 52 cases. The complete closure rate was 98.1% (51/52), with a sustained closure rate of 96.1% (49/51). The median closed defect size was 32 mm, with the largest being 62 mm. The median closure time was 8 minutes. Typically, one MANTIS Clip per defect was used, with only one lesion requiring two clips. The median number of additional clips used was seven. AEs included one case of bleeding (1.9%) and one case of post-ESD coagulation syndrome (1.9%), both managed without extending hospital stays. The median C-reactive protein level on the first day post-ESD was 0.35 mg/dL and the median hospital stay was 5 days.
Conclusions The MANTIS Clip is effective and practical for mucosal defect closure post-C-ESD, demonstrating high success and sustained closure rates with minimal complications. Future multicenter randomized trials are needed to further assess its efficacy and safety.
Role of Noncoding RNAs in Modulating Microglial Phenotype
Authors: Meer Eiman 
Published: September 2024

AbstractMicroglia are immunocompetent cells that are present in the retina and central nervous system, and are involved in the development maintenance and immune functions in these systems. Developing from yolk sac-primitive macrophages, they proliferate in the local tissues during the embryonic period without resorting to the production from the hematopoietic stem cells, and are critical in sustaining homeostasis and performing in disease and injury; they have morphological characteristics and distinct phenotypes according to the microenvironment. Microglia are also present in close association with resident cells in the retina where they engage in synapse formation, support normal functions, as well as immune defense. They are involved in the development of numerous neurodegenerative and ophthalmic diseases and act as diversity shields and triggers. Noncoding ribonucleic acids (ncRNAs) refer to RNA molecules synthesized from the mammalian genome, and these do not have protein-coding capacity. These ncRNAs play a role in the regulation of gene expression patterns. ncRNAs have only been recently identified as vastly significant molecules that are involved in the posttranscriptional regulation. Microglia are crucial for brain health and functions and current studies have focused on the effects caused by ncRNA on microglial types. Thus, the aim of the review was to provide an overview of the current knowledge about the regulation of microglial phenotypes by ncRNAs.
Deflection characteristics and influencing factors of projectile oblique impact on concrete targets
Authors: Xu Xiangyu , Tao Xigui , Wu Yingxiang , Lu Yunke , Liu Yan , Zhang Ji , Zhang Yushuai 
Published: September 2024

The projectile deflects and even ricochets after an oblique impact on the concrete. However, research on the oblique impact of projectiles on concrete targets mainly focuses on oblique penetration and the critical ricochet angle, and there are few experimental studies on ricochets. Deflection and its influencing factors remain undefined. This study conducted experiments and LS-DYNA numerical simulations on projectiles obliquely impacting C60 concrete targets. The experimental research visually revealed deflection and ricochet phenomena after the oblique impact. The ricochet caused by large-angle impacts can effectively reduce the damaged area of concrete targets. Subsequently, the main governing parameters affecting the deflection angle of the projectile were identified through dimensional analysis, and a sensitivity analysis was performed on these parameters using an orthogonal experimental design. On this basis, the influence of the incident angle, impact velocity, and projectile length-to-diameter ratio on the projectile deflection was further clarified. The results showed that the maximum deflection angle was achieved when a 30 mm caliber projectile obliquely impacted a C60 concrete at an incident angle of ∼45°. In the case of ricochets, the deflection angle increased with an increase in the impact velocity and decreased with an increase in the length-to-diameter ratio. This study aids in predicting and controlling projectile deflection and provides a reference for the innovative design of concrete protective structures.
The Machine Translation Post-Editing Annotation System (MTPEAS)
Authors: Bodart Romane , Piette Justine , Lefer Marie-Aude 
Published: September 2024

Abstract
Machine translation post-editing quality evaluation has received relatively little attention in translation
pedagogy to date. It is a time-consuming process that involves the comparison of three texts (source text, machine translation and
student post-edited text) and the systematic identification and correction of students’ edits (or absence thereof) of machine
translation (MT) output. There are as yet no widely available, standardized, user-friendly annotation systems for use in
translator education. In this article, we address this gap by describing the Machine Translation Post-Editing Annotation
System (MTPEAS). MTPEAS includes a taxonomy of seven categories that are presented in easy-to-understand terms:
Value-adding edits, Successful edits, Unnecessary edits, Incomplete edits, Error-introducing edits, Unsuccessful edits, and
Missing edits. We then assess the robustness of the MTPEAS taxonomy in a pilot study of 30 students’ post-edited texts and offer
some preliminary findings on students’ MT error identification and correction skills.
Dragging of the particle spin and spin–spin coupling effect on its periapsis shift
Authors: Xu Shaofei , Jia Junji 
Published: September 2024

Abstract
The periapsis shift (PS) of spinning test particles in the equatorial plane of an arbitrary stationary and axisymmetric spacetime is studied using the post-Newtonian method. The result is expressed as a half-integer power series of

M

/

p

, where M is the spacetime mass and p is the semilatus rectum. The coefficients of the series are polynomials of the particle spin, the asymptotic expansion coefficients of the metric functions, and the eccentricity of the orbit. The particle spin is shown to have a similar effect as the Lense-Thirring (LT) effect on the PS, and both of them appear from the

(
M

/

p

)

−
3

/

2

order in the PS. The coupling between the spacetime and particle spins will increase (or decrease) the PS if they are parallel (or antiparallel). For Jupiter and Saturn rotating around the Sun and exceptionally designed satellites around Mercury and Moon, and the space-based gravitational wave observatories LISA and TaiJi around the Sun, the particle spin effect can be comparable to or even larger than the LT one in size. The PS in other spacetime studied is not distinguishable from that in the Kerr spacetime to the

(
M

/

p

)

−
3

/

2

order.
Quantitative x-ray scattering of free molecules
Authors: Ma Lingyu , Goff Nathan , Carrascosa Andrés Moreno , Nelson Silke , Liang Mengning , Cheng Xinxin , Yong Haiwang , Gabalski Ian , Huang Lisa , Crane Stuart W , Green Alice E , Allum Felix , Lenzen Philipp , Muvva Sri Bhavya , Heald Lauren F , Liu Yusong , Bhattacharyya Surjendu , Larsen Kirk A , Graßl Martin , Forbes Ruaridh , Centurion Martin , Wolf Thomas J A , Kirrander Adam , Minitti Michael P , Weber Peter M 
Published: September 2024

Abstract
Advances in x-ray free electron lasers have made ultrafast scattering a powerful method for investigating molecular reaction kinetics and dynamics. Accurate measurement of the ground-state, static scattering signals of the reacting molecules is pivotal for these pump-probe x-ray scattering experiments as they are the cornerstone for interpreting the observed structural dynamics. This article presents a data calibration procedure, designed for gas-phase x-ray scattering experiments conducted at the Linac Coherent Light Source x-ray Free-Electron Laser at SLAC National Accelerator Laboratory, that makes it possible to derive a quantitative dependence of the scattering signal on the scattering vector. A self-calibration algorithm that optimizes the detector position without reference to a computed pattern is introduced. Angle-of-scattering corrections that account for several small experimental non-idealities are reported. Their implementation leads to near quantitative agreement with theoretical scattering patterns calculated with ab-initio methods as illustrated for two x-ray photon energies and several molecular test systems.
Multi-source domain adaptation network for partial discharge severity assessment in gas-insulated switchgear
Authors: Wang Yanxin , Yan Jing , Zhang Wenjie , Geng Yingsan , Wang Jianhua , Srinivasan Dipti 
Published: September 2024

Abstract
Gas-insulated switchgear (GIS) partial discharge (PD) severity assessment is critical for ensuring the reliable operation of GIS systems. However, existing assessment methods often overlook the long-term dependencies of historical data and fail to adequately address challenges related to limited on-site samples and variations in sample distribution. To overcome these challenges, we propose a novel multi-source domain adaptation network (MSDAN) specifically designed for on-site GIS PD severity assessment, which is the first model developed considering distribution differences in GIS PD severity assessment for different defect types. Our approach begins with the development of a feature extractor that captures both discernible PD features and long-term dependencies. We then introduce a multi-source domain adaptation strategy to mitigate distribution disparities across PD severity samples from different defect types, ensuring effective domain alignment. Additionally, we incorporate an adaptive weighted classification mechanism to accurately assess PD severity by considering the varying contributions of different defect types to the target domain task. Experimental results demonstrate that MSDAN achieves a remarkable accuracy of 95.38% in on-site GIS PD severity assessment, outperforming other benchmark models in both accuracy and robustness. This highlights the potential of MSDAN as a robust solution for real-world GIS PD severity assessment.