bluuebunny/crossref_metadata_2025_split huggingface dataset:
Serum factors mediate changes in mitochondrial bioenergetics associated with diet and exercise interventions
Authors: Gonzalez-Armenta Jenny L. , Bergstrom Jaclyn , Lee Jingyun , Furdui Cristina M. , Nicklas Barbara J. , Molina Anthony J. A. 
Published: June 2023

Abstract

Mitochondrial improvements resulting from behavioral interventions, such as diet and exercise, are systemic and apparent across multiple tissues. Here, we test the hypothesis that factors present in serum, and therefore circulating throughout the body, can mediate changes in mitochondrial function in response to intervention. To investigate this, we used stored serum from a clinical trial comparing resistance training (RT) and RT plus caloric restriction (RT + CR) to examine effects of blood borne circulating factors on myoblasts in vitro. We report that exposure to dilute serum is sufficient to mediate bioenergetic benefits of these interventions. Additionally, serum-mediated bioenergetic changes can differentiate between interventions, recapitulate sex differences in bioenergetic responses, and is linked to improvements in physical function and inflammation. Using metabolomics, we identified circulating factors associated with changes in mitochondrial bioenergetics and the effects of interventions. This study provides new evidence that circulating factors play a role in the beneficial effects of interventions that improve healthspan among older adults. Understanding the factors that drive improvements in mitochondrial function is a key step towards predicting intervention outcomes and developing strategies to countermand systemic age-related bioenergetic decline.
A New full-newton step infeasible interior-point method for $$P_*(\kappa )$$-linear Complementarity problem
Authors: Lee Jong-Kyu , Cho You-Young , Jin Jin-Hee , Cho Gyeong-Mi 
Published: June 2023

AbstractIn this paper, we suggest a new infeasible interior-point method (IIPM) for $$P_{*}(\kappa )$$

P

∗

(
κ
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-linear complementarity problem ($$P_{*}(\kappa )$$

P

∗

(
κ
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-LCP) based on a new class of kernel functions with full-Newton steps. Each iteration of the algorithm consists of a feasible step and a few centering steps. The feasible step is defined by the newly proposed kernel functions, while the centering step is determined by using Newton’s method. New class of kernel functions includes a logarithmic kernel function in Roos (SIAM J Optim 16:1110–1136, 2006) and a trigonometric kernel function in Moslemi and Kheirfam (Optim Lett 13:127–157, 2019), Kheirfam and Haghighi (Commun Comb Optim 3:51–70, 2018), Fathi-Hafshejani et al. (J Appl Math Comput 48:111–128, 2015) as special cases. And we show that the proposed algorithm has the best known complexity for $$P_*(\kappa )$$

P

∗

(
κ
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-LCP for such a method and present some numerical results.
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Authors: Wang Wei-Chien , Ahn Euijoon , Feng Dagan , Kim Jinman 
Published: June 2023

AbstractOver the last decade, supervised deep learning on manually annotated big data has been progressing significantly on computer vision tasks. But, the application of deep learning in medical image analysis is limited by the scarcity of high-quality annotated medical imaging data. An emerging solution is self-supervised learning (SSL), among which contrastive SSL is the most successful approach to rivalling or outperforming supervised learning. This review investigates several state-of-the-art contrastive SSL algorithms originally on natural images as well as their adaptations for medical images, and concludes by discussing recent advances, current limitations, and future directions in applying contrastive SSL in the medical domain.
Evaluating robotic-assisted partial nephrectomy surgeons with fully convolutional segmentation and multi-task attention networks
Authors: Wang Yihao , Wu Zhongjie , Dai Jessica , Morgan Tara N. , Garbens Alaina , Kominsky Hal , Gahan Jeffrey , Larson Eric C. 
Published: June 2023

AbstractWe use machine learning to evaluate surgical skill from videos during the tumor resection and renography steps of a robotic assisted partial nephrectomy (RAPN). This expands previous work using synthetic tissue to include actual surgeries. We investigate cascaded neural networks for predicting surgical proficiency scores (OSATS and GEARS) from RAPN videos recorded from the DaVinci system. The semantic segmentation task generates a mask and tracks the various surgical instruments. The movements from the instruments found via semantic segmentation are processed by a scoring network that regresses (predicts) GEARS and OSATS scoring for each subcategory. Overall, the model performs well for many subcategories such as force sensitivity and knowledge of instruments of GEARS and OSATS scoring, but can suffer from false positives and negatives that would not be expected of human raters. This is mainly attributed to limited training data variability and sparsity.
Dao as a Unified Composition or Plurality: A Nihilism Perspective
Authors: Banka Rafal 
Published: June 2023

AbstractThis article departs from a mereological conceptualization of the Daoist metaphysical system in the Daodejing 道德經. I discuss what parthood status applies to dao 道. Whereas it is quite intuitive that you 有—the region of concrete objects—has parthood relationships and compositions (entities made from parts), the other, undifferentiated region, dao, poses a considerable problem. This problem can be characterized in the following way: (a) dao cannot be characterized as a particular composition, which entails that it does not include parts. However, (b) dao underpins compositions in you, which entails that it contains compositions or at least parts that make compositions in you. This generates a problem of how compositions are possible with an undifferentiated ontological foundation. I focus on one possible approach to this problem––mereological nihilism, according to which no composition is possible. Assuming nihilism entails dao composed of mereological simples––fundamental entities, which are not parts.
Associations between emergency call stroke triage and pre-hospital delay, primary hospital admission, and acute reperfusion treatment among early comers with acute ischemic stroke
Authors: Gude Martin F. , Valentin Jan B. , Christensen Helle C. , Mikkelsen Søren , Søvsø Morten B. , Andersen Grethe , Kirkegaard Hans , Johnsen Søren P. 
Published: June 2023

AbstractTo investigate the association between the Emergency Medical Service dispatcher’s initial stroke triage and prehospital stroke management, primary admission to hospitals offering revascularization treatment, prehospital time delay, and rate of acute revascularization. In an observational cohort study, patients with acute ischemic stroke (AIS) in Denmark (2017–2018) were included if the emergency call to the Emergency Medical Dispatch Center (EMDC) was made within three hours after symptom onset. Among 3546 included AIS patients, the EMS dispatcher identified 74.6% (95% confidence interval (CI) 73.1–76.0) correctly as stroke. EMS dispatcher stroke recognition was associated with a higher rate of primary admission to a hospital offering revascularization treatment (85.8 versus 74.5%); producing an adjusted risk difference (RD) of 11.1% (95% CI 7.8; 14.3) and a higher rate of revascularization treatment (49.6 versus 41.6%) with an adjusted RD of 8.4% (95% CI 4.6; 12.2). We adjusted for sex, age, previous stroke or transient ischemic attack, and stroke severity. EMDC stroke recognition was associated with shorter prehospital delay. For all AIS patients, the adjusted difference was − 33.2 min (95% CI − 44.4; − 22.0). Among patients receiving acute revascularization treatment (n = 1687), the adjusted difference was -12.6 min (95% CI − 18.9; − 6.3). Stroke recognition by the EMS dispatcher was associated with a higher probability of primary admission to a hospital offering acute stroke treatment, and subsequently with a higher rate of acute revascularization treatment, and with an overall reduction in prehospital delay.
Trends and applications of google earth engine in remote sensing and earth science research: a bibliometric analysis using scopus database
Authors: Pham-Duc Binh , Nguyen Ho , Phan Hien , Tran-Anh Quan 
Published: June 2023

AbstractSince its official establishment in 2010, Google Earth Engine (GEE) has developed rapidly and has played a significant role in the global remote sensing community. A bibliometric analysis was conducted on 1995 peer-reviewed articles related to GEE, indexed in the Scopus database up to December 2022 to investigate its trends and main applications. Our main findings are as follows: (1) The number of GEE-related articles has increased rapidly, with nearly 85% of them published in the last three years; (2) The top three domains where GEE has been extensively applied are earth and planetary sciences, environmental science, and agricultural and biological sciences. The majority of GEE-related articles were authored by scholars from China and the US, accounting for 58% of the total, with US scholars having the largest impact on the community, contributing to over 50% of the total citations; (3) Remote Sensing published the highest number of articles (26.82%), whereas Remote Sensing of Environment received the highest number of citations (30.40%); (4) The applications of GEE covered a broad range of topics, with a focus on land applications, water resource applications, climate change, and crop mapping; (5) Landsat imagery were the most popular and widely used dataset; and (6) Random forest, decision trees, support vector machines were the most commonly used machine learning algorithms in GEE. Although having a few limitations, this type of analysis should be conducted regularly to observe the development of this field on a regular basis, as the number of publications related to GEE is expected to continue to increase strongly in the coming years.
Silk Textiles Dyeing by Plant-Derived Colorant in the Presence of Chitosan and Shellac
Authors: Brudzyńska Patrycja , Sionkowska Alina , Grisel Michel 
Published: June 2023

AbstractThe research aimed to dye silk satin textiles with a plant-derived colorant in the presence of additives of natural origins, such as chitosan and shellac, to investigate whether they can dye silk textiles with satisfactory results. In this study, a series of mechanical properties (Young modulus, elongation at break, and tensile strength), and colorfastness following exposure to UVC irradiation and 6 months of storage of dyed silk textiles samples were tested. Colorimetric measurements and scanning electron microscopy (SEM) images were performed and FTIR spectra were registered. Results indicated that the plant-derived colorant used in this research had the potential to dye silk satin textiles with satisfactory results. Colorant with the addition of chitosan and shellac dyed silk textiles more intensely, shellac covering ensured their color stability following UVC irradiation and during storage while the addition of chitosan did not particularly affect the color stability under the influence of UVC irradiation. However, pre-treatment with low molecular weight chitosan improves colorfastness during storage. Both additives influenced the mechanical properties of dyed silk textiles.
Corrosion and passive film characteristics of 3D-printed NiTi shape memory alloys in artificial saliva
Authors: Liu Ming , Zhu Jia-Ning , Popovich V. A. , Borisov E. , Mol J. M. C. , Gonzalez-Garcia Y. 
Published: June 2023

AbstractElectrochemical tests and surface analysis were applied to study the corrosion behavior and passive film characteristics of three-dimensional-printed NiTi shape memory alloys fabricated by laser-powder bed fusion (L-PBF) in artificial saliva at 37 °C. The passivity of L-PBF NiTi shows to be influenced by the process parameters and resulting morphological and physicochemical surface properties. The results show that the defects at the surface of L-PBF NiTi can promote the passivation rate in the early stages of exposure but a slowly formed passive film shows the best corrosion protection. The thickness of the passive film is positively correlated with its corrosion protective performance. The L-PBF NiTi alloy prepared at a linear energy density of 0.2 J·m−1 and volumetric energy density of 56 J·mm−3 shows the least defects and best corrosion protection. An outer Ti-rich and inner Ni-rich dense passive film could be also obtained showing higher corrosion resistance.
Graphic Abstract
Physical and mechanical properties of Ignimbrite from Arucas, Canary Islands
Authors: Valido J. A. , Cáceres J. M. , Sousa Luís M. O. 
Published: June 2023

AbstractThis research is a contribution to the mineralogical and physical–mechanical characterisation of the ignimbrites from Arucas (Gran Canaria Island), used as building stones under the commercial names of "Piedra de Arucas Lomo Tomás de León" and "Piedra de Arucas Rosa Silva". This stone has been used for more than five hundred years and is part of the local architectural heritage, but has also been exported to other regions of the world. To perform this characterisation, a chemical analysis was carried out using X-ray fluorescence (XRF), mineralogical and petrographic properties were obtained using polarised optical microscopy (POM), X-ray diffraction (XRD) and scanning electron microscopy (SEM). Several physical properties were determined, namely: apparent density (AP), open porosity (OP), water absorption at atmospheric pressure (WA), water absorption by capillarity (WAC), ultrasound velocity (PWV) and colour. Mechanical properties were obtained through compressive strength (UCS), bending strength (BS), point load (PLT), indirect tensile (BTS) and energy at break (IR) tests. To evaluate the durability, the samples were subjected to salt crystallisation cycles (CS), SO2 action (AS) and salt spray (SS) and the abrasion resistance (AR) was determined. The results obtained show that, although both samples share the same lithology and belong to the same geological formation (Salic Formation, trachytic-phonolitic), they show very different properties. Porosity stands out as the property with the higher difference among the two studied varieties. Therefore, the application of these ignimbrites should be done accordingly, avoiding environmental conditions that promotes the wettability and/or the salt crystallisation.
Exploring the diversity of the Malagasy Ponera (Hymenoptera: Formicidae) fauna via integrative taxonomy
Authors: Csősz Sándor , Loss Ana C. , Fisher Brian L. 
Published: June 2023

AbstractThe genus Ponera includes over 60 extant species worldwide. These tiny, endogeic predator ants are predominantly distributed in the Indomalaya and Australasia regions, with a few additional Holarctic species. Herein, we explore and describe the diversity of the Malagasy Ponera fauna through an integrative taxonomic approach. We obtained our morphological species hypotheses from multivariate analyses of ten continuous morphometric characters. Species boundaries and reliability of morphological clusters were tested via confirmatory Linear Discriminant Analysis (LDA), cross-validation (LOOCV), and analyses of a mitochondrial COI gene fragment. According to the combined application of the analyses, altogether, three species are inferred in the Malagasy region, Ponera petila Wilson (1957), P. swezeyi Wheeler (1933), and P. adumbrans Csősz & Fisher sp. n. Ponera petila and P. swezeyi belong to the Indo-Australian Ponera tenuis group; the third species, P. adumbrans sp. n., is morphologically similar to the Papua New Guinean P. clavicornis Emery (1900). Furthermore, Linear Discriminant Analysis classified the type specimens of P. bableti Perrault (1993), along with a P. petila cluster with posterior p = 1. Therefore, we propose the new junior synonymy of P. bableti with P. petila. Madagascar’s extant biodiversity is predominantly explained by colonization events from the African continent across the Mozambique channel via rafting. However, since no native Ponera species are known from the Afrotropical continent, and the closest congeners have an almost exclusively Indo-Australian distribution, the likelihood of an Indo-Australian origin of the Malagasy Ponera fauna is implied.
The STOP Program: a Hybrid Smoking Prevention and Cessation Training for Cancer Care Providers in Colombia and Peru
Authors: Tamí-Maury Irene , Tundealao Samuel , Díaz Vilma , Ochoa Elizabeth , Garcia Esperanza , Rincon Johanna , Noé-Díaz Valeri , Castañeda Carlos , Acosta Jesús , Fernández María , Vidaurre Tatiana , Crowley John 
Published: June 2023

AbstractWe designed and tested the feasibility of the Smoking Cessation Training Program for Oncology Practice (STOP), a hybrid (face-to-face plus web-based) educational intervention to enhance Spanish-speaking cancer care professionals’ (CCPs’) ability to provide brief smoking prevention and cessation counseling to cancer patients and survivors. Changes in the CCPs’ competencies (knowledge, attitude, self-efficacy, and practices toward smoking and smoking cessation services) were assessed post-training. Sixty CCPs from one major cancer center in Colombia (n = 30) and Peru (n = 30) were invited to participate in a 4-module hybrid training program on smoking prevention and cessation. Demographic and pre- and post-test evaluation data were collected. The training’s acceptability was measured after each module. Bivariate analysis was conducted using Wilcoxon signed-rank test to compare the CCPs’ competencies before and after the delivery of the STOP Program. Effect sizes were computed over time to assess the sustainability of the acquired competencies. Twenty-nine CCPs in Colombia and 24 CCPs in Peru completed the STOP Program (96.6% and 80.0% retention rates, respectively). In both countries, 98.2% of the CCPs reported that the overall structure and organization of the program provided an excellent learning experience. The pre-post-test evaluations indicated that the CCPs significantly improved their knowledge, attitude, self-efficacy, and practices toward smoking, smoking prevention, and cessation services. We found that the CCPs’ self-efficacy and practices increased over time (1-, 3-, and 6-month assessments after completing the 4 educational modules). The STOP Program was effective and well-received, demonstrating remarkable changes in CCPs’ competencies in providing smoking prevention and cessation services to cancer patients.
Anthropogenic hybridization and its influence on the adaptive potential of the Sardinian wild boar (Sus scrofa meridionalis)
Authors: Fabbri Giulia , Molinaro Ludovica , Mucci Nadia , Pagani Luca , Scandura Massimo 
Published: June 2023

AbstractThe wild boar (Sus scrofa meridionalis) arrived in Sardinia with the first human settlers in the early Neolithic with the potential to hybridize with the domestic pig (S. s. domesticus) throughout its evolution on the island. In this paper, we investigated the possible microevolutionary effects of such introgressive hybridization on the present wild boar population, comparing Sardinian wild specimens with several commercial pig breeds and Sardinian local pigs, along with a putatively unadmixed wild boar population from Central Italy, all genotyped with a medium density SNP chip. We first aimed at identifying hybrids in the population using different approaches, then examined genomic regions enriched for domestic alleles in the hybrid group, and finally we applied two methods to find regions under positive selection to possibly highlight instances of domestic adaptive introgression into a wild population. We found three hybrids within the Sardinian sample (3.1% out of the whole dataset). We reported 11 significant windows under positive selection with a method that looks for overly differentiated loci in the target population, compared with other two populations. We also identified 82 genomic regions with signs of selection in the domestic pig but not in the wild boar, two of which overlapped with genomic regions enriched for domestic alleles in the hybrid pool. Genes in these regions can be linked with reproductive success. Given our results, domestic introgression does not seem to be pervasive in the Sardinian wild boar. Nevertheless, we suggest monitoring the possible spread of advantageous domestic alleles in the coming years.
Measuring trade flows of sintered NdFeB magnets and Li-ion batteries: reported vs. embedded US imports
Authors: Gagarin Hannah , Eggert Roderick G. 
Published: June 2023

AbstractSintered neodymium-iron-boron (NdFeB) magnets and lithium-ion (Li-ion) batteries are essential in a number of clean energy technologies such as electric vehicles and wind turbines. The United States (US) has some manufacturing capacity for Li-ion batteries and almost no capacity for producing sintered NdFeB magnets. As a result, the US imports significant quantities of these batteries and magnets. Trade statistics on imported batteries and magnets, however, include only those materials imported in the form of batteries and magnets (referred to here as reported imports) and exclude materials embedded in intermediate and final products such as hard disk drives, electric motors, electric vehicles, and wind turbines (referred to here as embedded imports). This paper develops original estimates of embedded imports of NdFeB magnets and Li-ion batteries, leading to a more complete picture of US imports than looking at reported imports alone. It estimates that more than 90% of NdFeB magnet imports were embedded in intermediate and final products in 2021. In contrast, more than 90% of Li-ion battery imports were in the form of the batteries themselves rather than embedded in intermediate and final products.
FF-RRT*: a sampling-improved path planning algorithm for mobile robots against concave cavity obstacle
Authors: Cong Jiping , Hu Jianbo , Wang Yingyang , He Zihou , Han Linxiao , Su Maoyu 
Published: June 2023

AbstractThe slow convergence rate and large cost of the initial solution limit the performance of rapidly exploring random tree star (RRT*). To address this issue, this paper proposes a modified RRT* algorithm (defined as FF-RRT*) that creates an optimal initial solution with a fast convergence rate. An improved hybrid sampling method is proposed to speed up the convergence rate by decreasing the iterations and overcoming the application limitation of the original hybrid sampling method towards concave cavity obstacle. The improved hybrid sampling method combines the goal bias sampling strategy and random sampling strategy, which requires a few searching time, resulting in a faster convergence rate than the existing method. Then, a parent node is created for the sampling node to optimize the path. Finally, the performance of FF-RRT* is validated in four simulation environments and compared with the other algorithms. The FF-RRT* shortens 32% of the convergence time in complex maze environment and 25% of the convergence time in simple maze environment compared to F-RRT*. And in a complex maze with a concave cavity obstacle, the average convergence time of Fast-RRT* in this environment is 134% more than the complex maze environment compared to 12% with F-RRT* and 34% with FF-RRT*. The simulation results show that FF-RRT* possesses superior performance compared to the other algorithms, and also fits with a much more complex environment.