bluuebunny/crossref_metadata_2025_split huggingface dataset:
A reappraisal of active tectonics along the Fethiye–Burdur trend, southwestern Turkey
Authors: Nissen Edwin , Cambaz Musavver Didem , Gaudreau Élyse , Howell Andrew , Karasözen Ezgi , Savidge Elena 
Published: March 2022

SUMMARYWe investigate active tectonics in southwestern Turkey along the trend between Fethiye, near the eastern end of the Hellenic subduction zone, and Burdur, on the Anatolian plateau. Previously, regional GNSS velocities have been used to propose either (1) a NE-trending zone of strike-slip faulting coined the Fethiye–Burdur Fault Zone, or (2) a mix of uniaxial and radial extension accommodated by normal faults with diverse orientations. We test these models against the available earthquake data, updated in light of recent earthquakes at Arıcılar (24 November 2017, Mw 5.3), Acıpayam (20 March 2019, Mw 5.6) and Bozkurt (8 August 2019, Mw 5.9), the largest in this region in the last two decades. Using Sentinel-1 InSAR and seismic waveforms and arrival times, we show that the Arıcılar, Acıpayam and Bozkurt earthquakes were partially or fully buried ruptures on pure normal faults with subtle or indistinct topographic expressions. By exploiting ray paths shared with these well-recorded modern events, we relocate earlier instrumental seismicity throughout southwestern Turkey and incorporate these improved hypocentres in an updated focal mechanism compilation. The southwestern Fethiye–Burdur trend is dominated by ESE–WNW trending normal faulting, even though most faults evident in the topography strike NE–SW. This hints at a recent change in regional strain, perhaps related to eastward propagation of the Gökova graben into the area or to rapid subsidence of the Rhodes basin. The northeastern Fethiye–Burdur trend is characterized by orthogonal normal faulting, consistent with radial extension and likely responsible for the distinct physiography of Turkey’s Lake District. We find that the 1971 Mw 6.0 Burdur earthquake likely ruptured a NW-dipping normal fault in an area of indistinct geomorphology near Salda Lake, contradicting earlier studies that place it on well-expressed faults bounding the Burdur basin, and further highlighting how damaging earthquakes are possible on faults that would prove difficult to identify beforehand. Overall, our results support GNSS-derived kinematic models that depict a mix of uniaxial and radial extension throughout southwestern Turkey, with no evidence from focal mechanisms for major, active strike-slip faults anywhere along the Fethiye–Burdur trend. Normal faulting orientations are consistent with a stress field driven primarily by contrasts in gravitational potential energy between the elevated Anatolian plateau and the low-lying Rhodes and Antalya basins.
Frobenius and the Hodge Filtration of the Generic Fiber
Authors: Yao Zijian 
Published: March 2022

Abstract
We use the Nygaard filtration on Ainf cohomology to give a new proof of the following result: for a smooth proper (formal) scheme over a mixed characteristic valuation ring, the Newton polygon of its special fiber lies on or above the Hodge polygon of its generic fiber.
Becoming Global Governors: Self-Agentification, Recognition, and Delegation in World Politics
Authors: Hofferberth Matthias , Lambach Daniel 
Published: March 2022

AbstractThe emergence of new global governors and the ensuing complexity marks one of the most noticeable characteristics of contemporary global politics. However, this core axiom of global governance has not been unpacked in terms of why and how new actors emerge. This is surprising, since the emergence of new global governors raises fundamental questions about the very architecture of global governance. To unpack the dynamics of agency emergence, the article proposes a conceptual framework eclectically derived from relationalism. The framework defines foundational terms and allows us to posit assumptions on self-agentification, recognition, and delegation. We illustrate the framework and its mechanisms by reconstructing the emergence and evolution of corporate agency within the United Nations (UN) from initial debates in the 1960s to the UN Global Compact and conclude that this is mostly a story of contested recognition rather than self-agentification, with the international community and, in particular, states of the global north, inviting business to become more active.
Analysis of Aflatoxins, Fumonisins, Deoxynivalenol, Ochratoxin A, Zearalenone, HT-2, and T-2 Toxins in Animal Feed by LC–MS/MS Using Cleanup with a Multi-Antibody Immunoaffinity Column
Authors: Mackay Naomi , Marley Elaine , Leeman Dave , Poplawski Cezary , Donnelly Carol 
Published: March 2022

Abstract

Background
Regulations limiting aflatoxin levels in animal feed and guidance values for maximum levels for fumonisins (FB1 and FB2), deoxynivalenol (DON), ochratoxin A (OTA), zearalenone (ZON), HT-2, and T-2 toxins are in place both to protect animal health and to minimize potential transfer to animal products for human consumption. A multi-mycotoxin method which can handle complex feed matrices such as distillers dried grains with solubles (DDGS) is essential for analysis and accurate quantification without the need to revert to separately analyze individual mycotoxins.

Objective
The objective of this study is to generate single laboratory validation data for a method employing a multi-antibody immunoaffinity column (IAC) capable of providing cleanup for eleven mycotoxins, followed by LC–MS/MS quantification without the need for isotopic labelled and matrix-matched standards. The applicability of method is to be demonstrated for corn feed, pig feed, and DDGS by fortification and naturally occurring mycotoxins covering the range of regulated limits.

Methods
Feed sample (1 kg) ground by milling to approximately 1–2 mm particle size and sub-sample (5 g) extracted with acetonitrile–water–formic acid, passing through a multi-mycotoxin IAC, washing, and eluting prior to LC–MS/MS analysis monitoring selected ion transitions.

Results
Recoveries were in the range 74 to 117% (excluding five outliers) for aflatoxins, FB1, FB2, DON, OTA, ZON, HT-2, and T2- toxins spiked into three commercial animal feed matrixes (n = 84) and within-day RSDs averaged 1.7 to 10.3% (n = 99).

Conclusion
Single laboratory validation of a multi-antibody IAC method coupled with LC–MS/MS has shown the method to be suitable for accurate quantification of eleven regulated mycotoxins in DDGS, pig feed, and poultry feed.

Highlights
IAC method capable of accurately quantifying eleven regulated mycotoxins in complex feed matrices.
Evaluation of Areawide Forecasts of Wind-borne Crop Pests: Sugarcane Aphid (Hemiptera: Aphididae) Infestations of Sorghum in the Great Plains of North America
Authors: Koralewski Tomasz E , Wang Hsiao-Hsuan , Grant William E , Brewer Michael J , Elliott Norman C 
Published: March 2022

AbstractAirborne pests pose a major challenge in agriculture. Integrated pest management programs have been considered a viable response to this challenge, and pest forecasting can aid in strategic management decisions. Annually recurrent areawide sugarcane aphid [Melanaphis sacchari (Zehntner) (Hemiptera: Aphididae)] infestations of sorghum [Sorghum bicolor (L.) Moench (Poales: Poaceae)] in the Great Plains of North America is one of such challenges. As part of the response, a spatially-explicit individual-based model was developed that simulates sugarcane aphid infestations over the southern-to-central part of the region. In this work, we evaluated model forecasts using 2015–2018 field data. The ranges of forecasted days of first infestation significantly overlapped with those observed in the field. The average days of first infestation observed in the field were approximated by the model with differences of less than 28 days in Texas and southern Oklahoma (2015–2018), and in northern Oklahoma (2016–2017). In half of these cases the difference was less than 14 days. In general, the modeled average day of first infestation was earlier than the observed one. As conceptual modeling decisions may impact model forecasts and as various socio-environmental factors may impact spatio-temporal patterns of field data collection, agreement between the forecasts and the observed estimates may vary between locations and seasons. Predictive modeling has the potential to occupy a central position within areawide integrated pest management programs. More detailed consideration of local agricultural practices and local environmental conditions could improve forecasting accuracy, as could broader participation of producers in field monitoring efforts.
A low-power HAR method for fall and high-intensity ADLs identification using wrist-worn accelerometer devices
Authors: de la Cal Enrique A , Fáñez Mirko , Villar Mario , Villar Jose R , González Víctor M 
Published: March 2022

AbstractThere are many real-world applications like healthcare systems, job monitoring, well-being and personal fitness tracking, monitoring of elderly and frail people, assessment of rehabilitation and follow-up treatments, affording Fall Detection (FD) and ADL (Activity of Daily Living) identification, separately or even at a time. However, the two main drawbacks of these solutions are that most of the times, the devices deployed are obtrusive (devices worn on not quite common parts of the body like neck, waist and ankle) and the poor battery life. Thus, this work proposes a low-power classification algorithm based on an Ensemble of KNN and K-Means algorithms (EKMeans) to identify Falls and High-Intensity ADL events such as running, jogging and climbing up stairs. The input of EKMeans are triaxial accelerometer data gathered from wrist-wearable devices. The proposal will be validated on the Fall&ADL publicly available datasets UMAFall, UCIFall and FallAllD, considering two kinds of activity labelling: Two-Class and Multi-Class. An exhaustive comparative study between our proposal, and the baseline algorithms KNN and a feed-forward Neural Network (NN) is deployed, where EKMeans outperformed clearly the Specificity (ADL classification) of the KNN and NN for the three datasets. Finally, a comparative battery consumption study has been included deploying the analyzed algorithms in a WearOS smartwatch, where EKMeans drains the battery from 100% to 0% in 27.45 hours, saving 5% and 21% concerning KNN and NN, respectively. Keywords: Human Activity Recognition, ADL Identification, Fall Detection TS Clustering, TS Classification, Wearable Devices, Low-Power HAR.
Early Posttherapy Opioid Prescription, Potential Misuse, and Substance Use Disorder Among Pediatric Cancer Survivors
Authors: Ji Xu , Hu Xin , Brock Katharine E , Mertens Ann C , Cummings Janet R , Effinger Karen E 
Published: March 2022

Abstract

Background
Pediatric cancer survivors often have pain, which may be managed with opioids. We examined the prevalence of opioid prescriptions, potential misuse, and substance use disorders (SUDs) among pediatric cancer survivors during the first year posttherapy.

Methods
Using MarketScan Commercial Database, we identified 8969 survivors (aged 21 years or younger at diagnosis) who completed cancer therapy in 2009-2018 and remained continuously enrolled for at least 1 year posttherapy and 44 845 age-, sex-, and region-matched enrollees without cancer as a comparison group. Outcomes included opioid prescriptions, any indicator of potential prescription opioid misuse, and SUDs within 1 year posttherapy. Outcomes were compared between survivors and noncancer peers in bivariate and adjusted analyses, stratified by off-therapy age (children: 0-11 years; adolescents: 12-17 years; young adults: 18-28 years). All statistical tests were 2-sided.

Results
A higher proportion of survivors than noncancer peers filled opioid prescriptions (children: 12.7% vs 2.0%; adolescents: 22.9% vs 7.7%; young adults: 26.0% vs 11.9%). In models adjusting for sociodemographic factors and health status, survivors remained 74.4%-404.8% more likely than noncancer peer to fill opioid prescriptions (P &lt; .001). The prevalence of potential misuse or SUDs was low, with 1.4% of child, 4.7% of adolescent, and 9.4% of young adult survivors fulfilling at least 1 criterion; however, it was higher than noncancer peers (0.1%, 1.4%, and 4.3%, respectively). In adjusted models, the likelihood of potential misuse among survivors remained at least 2 times higher than that among noncancer peers (P  &lt; .001), and the difference in SUDs became nonstatistically significant.

Conclusion
Statistically significantly higher rates of opioid prescriptions and potential misuse were found among pediatric cancer survivors within 1 year posttherapy as compared with peers without cancer.
Responses of fungal community to forest fire are species-specific in Yunnan Plateau, southwest China
Authors: Wang Ling-Ling , Zhou Qing-Qiu , Su Wen-Hua , Xu Yun-Jian , Qian Qin-Dong , Yang Xiong , Chen De-Yun , Chen Zhe , Wu Jian-Ping 
Published: March 2022

Abstract
Fire frequently causes strong disturbance in forests. Belowground fungi are sensitive to forest fire disturbance and can affect vegetation restoration. Our objective was to investigate the responses of belowground fungi under two tree species to forest fire in a mixed forest in Yunnan Plateau. Samples from three ‘sample sites’ (roots, rhizosphere soil and bulk soil) were collected from two plant species, Pinus yunnanensis and Eucalyptus citriodora, and were analyzed for fungal diversity and community composition. Fungi were identified using high-throughput sequencing. Shannon index and principal coordinate analysis were used for diversity and network analysis. LEfSe and FUNGuild were used to analyze the community composition, trophic mode and guild. Alpha diversity in bulk soil was higher than that in rhizosphere soil and roots, while the community composition was significantly different among the three sample sites. Fungal network complexity of E. citriodora was higher than that of P. yunnanensis. The relative abundance of Mucoromycota in the three sample sites was higher for P. yunnanensis than E. citriodora. Most of the top 10 dominant genera of the two plant species were saprotrophic fungi. In the comparison of biomarker, ectomycorrhizal fungi dominated in the roots and rhizosphere soil of P. yunnanensis, while both saprotrophic fungi and symbiotic fungi were in the roots and rhizosphere soil of E. citriodora. Our findings suggest that, following a forest fire, responses of fungal community are species-specific in Yunnan Plateau.
Quantifying the dosimetric effects of neck contour changes and setup errors on the spinal cord in patients with nasopharyngeal carcinoma: establishing a rapid estimation method
Authors: Li Yinghui , Wei Zhanfu , Liu Zhibin , Teng Jianjian , Chang Yuanzhi , Xie Qiuying , Zhang Liwen , Shi Jinping , Chen Lixin 
Published: March 2022

Abstract
The purpose of this study was to quantify the effect of neck contour changes and setup errors on spinal cord (SC) doses during the treatment of nasopharyngeal carcinoma (NPC) and to establish a rapid dose estimation method. The setup errors and contour changes in 60 cone-beam computed tomography (CBCT) images of 10 NPC patients were analysed in different regions of the neck (C1–C3, C4–C5 and C6–C7). The actual delivered dose to the SC was calculated using the CBCT images, and univariate simulations were performed using the planning CT to evaluate the dose effects of each factor, and an index ${\mathrm{Dmax}}_{\mathrm{displaced}}$ was introduced to estimate the SC dose. Compared with the planned dose, the mean (maximum) Dmax increases in the C1–C3, C4–C5 and C6–C7 regions of the SC were 2.1% (12.3%), 1.8% (8.2%) and 2.5% (9.2%), respectively. The simulation results showed that the effects of setup error in the C1–C3, C4–C5 and C6–C7 regions were 1.5% (9.7%), 0.9% (8.2%) and 1.3% (6.3%), respectively, and the effects of contour change were 0.4% (1.7%), 0.7% (2.5%) and 1.5% (4.9%), respectively. The linear regression model can be used to estimate the dose effect of contour changes (R2 &gt; 0.975) and setup errors (R2 = 0.989). Setup errors may lead to a significant increase in the SC dose in some patients. This study established a rapid dose estimation method, which is of great significance for the daily dose evaluation and the adaptive re-planning trigger of the SC.
Elevated Lactate Dehydrogenase Concentrations in Plasma Compared to Serum
Authors: Bockoven Crystal , Benirschke Robert C , Lee Hong-Kee 
Published: March 2022

Abstract

Objective
To evaluate the difference in lactate dehydrogenase (LDH) concentrations in plasma vs serum specimens in our patient population.

Materials and Methods
We measured LDH in 110 paired plasma and serum specimens over a 2-week period. Hemolytic indices were performed on each specimen. These paired specimens were drawn in a single setting and stored under the same conditions. For the last 14 paired specimens, cell counts were performed on the plasma/serum.

Results
Plasma LDH was on average 22% higher than serum LDH. There was no difference in the hemolytic indices between the plasma and the serum specimens. In the last 14 specimens, cell counts revealed increased platelets in the plasma specimens compared to the serum specimens.

Conclusion
We propose switching back to using serum for LDH testing because there was unpredictable elevation in plasma LDH concentrations. These elevations in LDH levels may be linked to the platelets present in plasma and that may lyse or become activated with storage at refrigerated temperature.
The VMC survey – XLVIII. Classical cepheids unveil the 3D geometry of the LMC
Authors: Ripepi Vincenzo , Chemin Laurent , Molinaro Roberto , Cioni Maria-Rosa L , Bekki Kenji , Clementini Gisella , de Grijs Richard , De Somma Giulia , El Youssoufi Dalal , Girardi Léo , Groenewegen Martin A T , Ivanov Valentin , Marconi Marcella , McMillan Paul J , van Loon Jacco Th 
Published: March 2022

ABSTRACT
We employed the VISTA near-infrared YJKssurvey of the Magellanic System (VMC) to analyse the $Y,\, J,~\mathrm{ and}~ K_\mathrm{s}$ light curves of δ Cepheid stars (DCEPs) in the Large Magellanic Cloud (LMC). Our sample consists of 4408 objects accounting for 97 per cent of the combined list of OGLE IV and Gaia DR2 DCEPs. We determined a variety of period–luminosity (PL) and period–Wesenheit PW relationships for Fundamental (F) and First Overtone (1O) pulsators. We discovered for the first time a break in these relationships for 1O DCEPs at P= 0.58 d. We derived relative individual distances for DCEPs in the LMC with a precision of ∼1 kpc, calculating the position angle of the line of nodes and inclination of the galaxy: θ = 145.6 ± 1.0 deg and i = 25.7 ± 0.4 deg. The bar and the disc are seen under different viewing angles. We calculated the ages of the pulsators, finding two main episodes of DCEP formation lasting ∼40 Myr which happened 93 and 159 Myr ago. Likely as a result of its past interactions with the SMC, the LMC shows a non-planar distribution, with considerable structuring: the bar is divided into two distinct portions, the eastern and the western displaced by more than 1 kpc from each other. Similar behaviour is shown by the spiral arms. The LMC disc appears ‘flared’ and thick, with a disc scale height of h ∼ 0.97 kpc. This feature can be explained by strong tidal interactions with the Milky Way and/or the Small Magellanic Cloud or past merging events with now disrupted LMC satellites.
GAS6-mediated dialogue between decidual stromal cells and macrophages is essential for early pregnancy maintenance by inducing M2-like polarization and cell proliferation of decidual macrophages
Authors: Dai Jing-Cong , Yang Jia-Yan , Chang Rui-Qi , Liang Yan , Hu Xiao-Yu , Li Hu , You Shuang , He Fan , Hu Li-Na 
Published: March 2022

Abstract
Maternal immunotolerance towards the semi-allogeneic foetus is critical for normal pregnancy (NP). As a secretory protein, growth arrest-specific factor 6 (GAS6) promotes cancer progression by inducing the conversion of tumour-associated macrophages to an immunosuppressive M2-like phenotype. However, little is known about whether GAS6 regulates decidual macrophages (dMφs) in the early maternal–foetal interface. In this study, first-trimester decidual tissues were obtained from normal pregnant women undergoing elective terminations and patients with miscarriages. The expression of GAS6 and its receptors (AXL, TYRO3 and MERTK) in decidua and GAS6 secretion by decidual stromal cells (DSCs) was measured. Then, we investigated the effect of recombinant human GAS6 (rhGAS6) on dMφs isolated from NP and THP-1 cells, and revealed the underlying mechanism. Both the expression of GAS6 in DSCs and MERTK in dMφs, in addition to GAS6 secretion by DSCs, was found to be significantly decreased in miscarriage patients compared to that in NPs. Additionally, we observed that rhGAS6 polarized dMφs and THP-1 cells towards an M2-like phenotype, as evidenced by the up-regulated CD163 expression. Moreover, rhGAS6 enhanced the clearance of toxic cell-free haemoglobin by dMφs by up-regulating CD163 expression, and rhGAS6 also boosted cell proliferation of dMφs and THP-1 cells. Finally, we demonstrated that rhGAS6 stimulated CD163 expression and cell proliferation by activating the PI3K/Akt signalling pathway. Collectively, these findings suggest that GAS6-mediated dialogue between DSCs and dMφs is crucial for the establishment and maintenance of maternal–foetal immunotolerance, and decreased GAS6 secretion by DSCs may lead to the occurrence of miscarriage in the first trimester.
G-quadruplex occurrence and conservation: more than just a question of guanine–cytosine content
Authors: Vannutelli Anaïs , Perreault Jean-Pierre , Ouangraoua Aïda 
Published: March 2022

Abstract
G-quadruplexes are motifs found in DNA and RNA that can fold into tertiary structures. Until now, they have been studied experimentally mainly in humans and a few other species. Recently, predictions have been made with bacterial and archaeal genomes. Nevertheless, a global comparison of predicted G4s (pG4s) across and within the three living kingdoms has not been addressed. In this study, we aimed to predict G4s in genes and transcripts of all kingdoms of living organisms and investigated the differences in their distributions. The relation of the predictions with GC content was studied. It appears that GC content is not the only parameter impacting G4 predictions and abundance. The distribution of pG4 densities varies depending on the class of transcripts and the group of species. Indeed, we have observed that, in coding transcripts, there are more predicted G4s than expected for eukaryotes but not for archaea and bacteria, while in noncoding transcripts, there are as many or fewer predicted G4s in all species groups. We even noticed that some species with the same GC content presented different pG4 profiles. For instance, Leishmania major and Chlamydomonas reinhardtii both have 60% of GC content, but the former has a pG4 density of 0.07 and the latter 1.16.