bluuebunny/crossref_metadata_2025_split huggingface dataset:
ArcticBirdSounds: An open‐access, multiyear, and detailed annotated dataset of bird songs and calls
Authors: Christin Sylvain , Chicoine Christine , O'Neill Sanger Tommy , Guigueno Mélanie F. , Hansen Jannik , Lanctot Richard B. , MacNearney Douglas , Rausch Jennie , Saalfeld Sarah T. , Schmidt Niels M. , Smith Paul A. , Woodard Paul F. , Hervet Éric , Lecomte Nicolas 
Published: April 2023

AbstractTracking biodiversity shifts is central to understanding past, present, and future global changes. Recent advances in bioacoustics and the low cost of high‐quality automatic recorders are revolutionizing studies in biogeography and community and behavioral ecology with a robust assessment of phenology, species occurrence, and individual activity. This large volume of acoustic recordings has recently generated a plethora of datasets that can now be handled automatically, mostly via big data methods such as deep learning. These approaches need high‐quality annotations to classify and detect recorded sounds efficiently. However, very few strongly annotated datasets—that is, with detailed information on start and end time of each vocalization—are openly accessible to the public. Moreover, these datasets mostly cover temperate species and are usually limited to a single year of recordings. Here, we present ArcticBirdSounds, the first open‐access, multisite, and multiyear strongly annotated dataset of arctic bird vocalizations. ArcticBirdSounds offers 20 h of annotated recordings over 2 years (2018, 2019), taken from 15 distinct plots within six locations across the Arctic, from Alaska to Greenland. Recordings cover the arctic vertebrates' breeding period and are evenly spaced during the day; they capture most species breeding there with 12,933 temporal annotations in 49 classes of sounds. While these data can be used for many pressing ecological questions, it is also a unique resource for methodological development to help meet the challenges of fast ecosystem transformations such as those happening in the Arctic. All data, including audio files, annotation files, and companion spreadsheets, are available in an Open Science Framework repository published under a CC BY 4.0 License.
Forecasting the stock risk premium: A new statistical constraint
Authors: Hao Xianfeng , Wang Yudong 
Published: April 2023

AbstractWe develop a new statistical constraint to improve the stock return forecasting performance of predictive models. This constraint uses a new objective function that combines the Huber loss function with the Ridge penalty. Out‐of‐sample results indicate that our constraint improves the predictive ability of the univariate models. The constrained univariate models significantly outperform the historical average benchmark model assuming no predictability. The forecast improvement based on the new constraint is also evident for multivariate information methods including forecast combination and diffusion index. The model is capable of capturing time‐varying risk which serves as the potential economic explanation of the improved return predictability. Our results are robust to different evaluation subsamples, validation sample lengths, and different risk aversion coefficients.
A Concept for Set‐based Design of Verification Strategies
Authors: Xu Pen , Salado Alejandro 
Published: April 2023

ABSTRACTIn current practice, a verification strategy is defined at the beginning of an acquisition program and is agreed upon by customer and contractor at contract signature. Hence, the resources necessary to execute verification activities at various stages of the system development are allocated and committed at the beginning, when a small amount of knowledge about the system is available. However, contractually committing to a fixed verification strategy at the beginning of an acquisition program fundamentally leads to suboptimal acquisition performance. Essentially, the uncertain nature of system development will make verification activities that were not previously planned necessary and will make some of the planned ones unnecessary. To cope with these challenges, this paper presents an approach to apply set‐based design to the design of verification activities to enable the execution of dynamic contracts for verification strategies, ultimately resulting in more valuable verification strategies than current practice.
From Model‐based to Model and Simulation‐based Systems Architectures—Achieving Quality Engineering through Descriptive and Analytical Models
Authors: Nowodzienski Pierre , Navas Juan 
Published: April 2023

ABSTRACTSystems architecture design is a key activity that affects the overall systems engineering cost. Hence it is fundamental to ensure that the system architecture reaches a proper quality. In this paper, we leverage model‐based systems engineering (MBSE) approaches and complement them with simulation techniques, as a promising way to improve the quality of the system architecture definition, and to come up with innovative solutions while securing the systems engineering process.
System Verification and Validation Approach Using the MagicGrid Framework
Authors: Morkevicius Aurelijus , Aleksandraviciene Aiste , Strolia Zilvinas 
Published: April 2023

ABSTRACTThe ongoing transformation in the industry from a document‐based systems engineering to a model‐based systems engineering approach reveals a need for new methods of verifying and validating systems. Traditional methods of testing the actual system are getting more and more expensive. A model‐based environment could significantly reduce testing and, most importantly, verification and validation processes costs. It allows testing on the system model by applying various techniques, such as simulation, analysis, review, mock‐ups, etc. There are, however, very few approaches today detailing how verification and validation of the entire system (taking into count its components and subsystems) could be performed. This paper proposes an approach to perform verification and validation of a system using system models developed with Systems Modeling Language (SysML) and in accordance with the MagicGrid (formerly known as MBSE Grid) framework. The approach covers system testing activities beginning with verification of the lowest modeled system elements against system requirements and finishing with validation of the system as a whole, against stakeholder needs.
Adolescents' friendship quality and over‐time development of well‐being: The explanatory role of self‐esteem
Authors: Luijten Chantie C. , van de Bongardt Daphne , Nieboer Anna P. 
Published: April 2023

AbstractIntroductionThe mechanism underlying the positive longitudinal link between adolescents' friendship quality and their well‐being is unclear. The present study was performed to investigate whether this longitudinal association between friendship quality and well‐being was established via adolescents' global self‐esteem, and to examine gender differences in these associations.MethodsOnline questionnaire data were collected in two waves (in Spring 2018 and Spring 2019) from 1298 Dutch adolescents aged 11–17 years (mean age 13.7 ± 1.1 years, 53.2% girls).ResultsMultigroup path analyses revealed a significant indirect effect between friendship quality and well‐being over time via global self‐esteem for girls. For boys, significant direct effects of friendship quality on global self‐esteem and well‐being were found, but no significant indirect effect.ConclusionsThe findings indicate that higher‐quality friendships improve boys' global self‐esteem and well‐being directly, and that they affect girls' well‐being indirectly and positively, by improving their global self‐esteem. These results suggest that preventive and intervention‐based strategies for the promotion of well‐being during the developmental stage of adolescence should incorporate focus on friendships, global self‐esteem, and gender specificities.
The importance of the appendicular skeleton for the phylogenetic reconstruction of lamniform sharks (Chondrichthyes: Elasmobranchii)
Authors: Capretz Batista Da Silva João Paulo , Shimada Kenshu , Datovo Aléssio 
Published: April 2023

AbstractLamniform sharks are one of the more conspicuous groups of elasmobranchs, including several emblematic taxa as the white shark. Although their monophyly is well supported, the interrelationships of taxa within Lamniformes remains controversial because of the conflict among various previous molecular‐based and morphology‐based phylogenetic hypotheses. In this study, we use 31 characters related to the appendicular skeleton of lamniforms and demonstrate their ability to resolve the systematic interrelationships within this shark order. In particular, the new additional skeletal characters resolve all polytomies that were present in previous morphology‐based phylogenetic analyses of lamniforms. Our study demonstrates the strength of incorporating new morphological data for phylogenetic reconstructions.
Enhanced adsorption of ceftriaxone antibiotics from water by activated carbon derived from agriculture products waste
Authors: Alibrahim Khuloud A. 
Published: April 2023

AbstractThe present work determines efficiency of domestic food waste like tea waste in removing pharmaceutical waste such as ceftriaxone (CEF) from synthetic wastewater. Carbonaceous material; Tea waste activated carbon (TAC) has been employed and it showed high removal capacity of 787.5 mg/g. TAC was characterized using; XPS, XRD, SEM, FT‐IR, and BET as well as it approved that the adsorbent a has high surface area of .6 m2/g. Various experimental parameters are evaluated for the removal efficiency of the synthesized adsorbent under the present study. During the adsorption study through batch experiments, it approved that the adsorption isotherm was fitted to Langmuir, while kinetically fitted to pseudo‐second‐order; the adsorption process was chemisorption process as the adsorption energy was 23.7 kJ mol−1. From evaluation thermodynamic parameters the adsorption reaction was endothermic and spontaneous reaction. The different real samples spiked with CEF and studies the efficiency of TAC to remove it. On the other hand, investigated the regeneration efficiency of the TAC and exhibit high regeneration efficiency as it will be used after four cycles with good efficiency of about 84.2%.
Outcomes after primary tumor resection of metastatic pancreatic neuroendocrine tumors: An analysis of the National Cancer Database
Authors: Kaslow Sarah R. , Hani Leena , Cohen Steven M. , Wolfgang Christopher L. , Sacks Greg D. , Berman Russell S. , Lee Ann Y. , Correa‐Gallego Camilo 
Published: April 2023

AbstractIntroductionThere is no consensus regarding the role of primary tumor resection for patients with metastatic pancreatic neuroendocrine tumors (panNET). We assessed surgical treatment patterns and evaluated the survival impact of primary tumor resection in patients with metastatic panNET.MethodsPatients with synchronous metastatic nonfunctional panNET in the National Cancer Database (2004−2016) were categorized based on whether they underwent primary tumor resection. We used logistic regressions to assess associations with primary tumor resection. We performed survival analyses with Kaplan−Meier survival functions, log‐rank test, and Cox proportional hazard regression within a propensity score matched cohort.ResultsIn the overall cohort of 2613 patients, 68% (n = 839) underwent primary tumor resection. The proportion of patients who underwent primary tumor resection decreased over time from 36% (2004) to 16% (2016, p < 0.001). After propensity score matching on age at diagnosis, median income quartile, tumor grade, size, liver metastasis, and hospital type, primary tumor resection was associated with longer median overall survival (OS) (65 vs. 24 months; p < 0.001) and was associated with lower hazard of mortality (HR: 0.39, p < 0.001).ConclusionPrimary tumor resection was significantly associated with improved OS, suggesting that, if feasible, surgical resection can be considered for well‐selected patients with panNET and synchronous metastasis.
Effect of Hypoalbuminemia in Patients Undergoing Parathyroidectomy for Primary Hyperparathyroidism
Authors: Khawaja Imran M. , Randhawa Avneet , Randhawa Karandeep , Aftab Owais M. , Patel Roshan V. , Eloy Jean Anderson , Fang Christina H. 
Published: April 2023

ObjectivesTreatment for primary hyperparathyroidism is parathyroidectomy. This study identifies the association between hypoalbuminemia (HA) and outcomes in patients undergoing parathyroidectomy for primary hyperparathyroidism.MethodsThis retrospective cohort analysis utilized the 2006–2015 National Surgical Quality Improvement Program database. Current Procedure Terminology codes were used to identify patients undergoing parathyroidectomy for primary hyperparathyroidism. Prolonged length of stay (LOS) was defined as a duration of 2 days or greater. Demographics and comorbidities were compared between HA (serum albumin <3.5 g/dL) and non‐HA cohorts using chi‐square analysis. The independent effect of HA on adverse outcomes was analyzed using binary logistic regression.ResultsA total of 7183 cases with primary hyperparathyroidism were classified into HA (n = 381) and non‐HA (n = 6802) cohorts. HA patients had increased complications, including renal insufficiency (0.8% vs. 0.0%, p = 0.001), sepsis (1.0% vs. 0.1%, p = 0.003), pneumonia (0.8% vs. 0.1%, p = 0.018), acute renal failure (1.0% vs. 0.0%, p < 0.001), and unplanned intubation (1.3% vs. 0.2%, p = 0.004). HA patients had increased risk of death (1.6% vs. 0.1%, p < 0.001), prolonged LOS (40.9% vs. 6.3%, p < 0.001), and any complication (5.5% vs. 1.2%, p < 0.001). Adjusted binary logistic regression indicated HA patients experienced increased odds of progressive renal insufficiency (OR 18.396, 95% CI 1.844–183.571, p = 0.013), prolonged LOS (OR 4.892; 95% CI 3.571–6.703; p < 0.001), unplanned reoperation (OR 2.472; 95% CI 1.012–6.035; p = 0.047), and unplanned readmission (OR 3.541; 95% CI 1.858–6.748; p < 0.001).ConclusionsHA may be associated with adverse complications in patients undergoing parathyroidectomy for primary hyperparathyroidism.Level of Evidence3 Laryngoscope, 133:2035–2039, 2023
Mixed radial‐angular integrability for rough maximal singular integrals and Marcinkiewicz integrals with mixed homogeneity
Authors: Liu Ronghui , Wu Huoxiong 
Published: April 2023

AbstractThis paper is devoted to studying maximal singular integrals and Marcinkiewicz integrals with rough kernels in a mixed homogeneity setting. Assuming that the kernels satisfy certain rather weak size conditions, the boundedness of such operators on the mixed radial‐angular spaces are established, respectively. Meanwhile, the corresponding vector‐valued versions are also given.
Hodge cohomology on blow‐ups along subvarieties
Authors: Rao Sheng , Yang Song , Yang Xiangdong , Yu Xun 
Published: April 2023

AbstractWe establish a blow‐up formula for Hodge cohomology of locally free sheaves on smooth proper varieties over an algebraically closed field of positive characteristic. For this, we introduce a notion of relative Hodge sheaves and study their behavior under blow‐ups along smooth centers. In particular, as an application, we study the blow‐up invariance of the E2‐degeneracy of the Hochschild–Kostant–Rosenberg spectral sequence for smooth proper varieties.
On the interpolation constants for variable Lebesgue spaces
Authors: Karlovych Oleksiy , Shargorodsky Eugene 
Published: April 2023

AbstractFor and variable exponents and with values in [1, ∞], let the variable exponents be defined by
The Riesz–Thorin–type interpolation theorem for variable Lebesgue spaces says that if a linear operator T acts boundedly from the variable Lebesgue space to the variable Lebesgue space for , then
where C is an interpolation constant independent of T. We consider two different modulars and generating variable Lebesgue spaces and give upper estimates for the corresponding interpolation constants Cmax and Csum, which imply that and , as well as, lead to sufficient conditions for and . We also construct an example showing that, in many cases, our upper estimates are sharp and the interpolation constant is greater than one, even if one requires that , are Lipschitz continuous and bounded away from one and infinity (in this case, ).
LATS‐regulated nuclear‐cytoplasmic translocation of SREBP2 inhibits hepatocellular carcinoma cell migration and invasion via epithelial–mesenchymal transition
Authors: Zhang Feng , Gao Jie , Liu Xudong , Sun Yaohui , Liu Long , Hu Bowen , Wang Zhihui , Shi Jihua , Guo Wenzhi , Zhang Shuijun 
Published: April 2023

AbstractAbnormal cholesterol synthesis plays a crucial role in the development of hepatocellular carcinoma (HCC). Sterol regulatory element‐binding protein 2 (SREBP2) is involved in cholesterol synthesis by translocating to the nucleus where it stimulates the transcription of genes encoding enzymes involved in the cholesterol synthesis pathway. However, the function and regulatory mechanism of SREBP2 in HCC remain unclear. In this study, we aimed to gain a better understanding of the effects of SREBP2 and its functional mechanism in HCC. In 20 HCC patients, we demonstrated that SREBP2 was highly expressed in HCC specimens, relative to their peritumoral tissue, and that higher expression correlated positively with a poor prognosis in these patients. Moreover, higher SREBP2 levels in the nucleus enhanced the occurrence of microvascular invasion, whereas inhibition of SREBP2 nuclear translocation by fatostatin markedly suppressed the migration and invasion of HCC cells via the epithelial–mesenchymal transition (EMT) process. The effects of SREBP2 were subject to functional activity of large tumor suppressor kinase (LATS), whereas inhibition of LATS promoted nuclear translocation of SREBP2, as observed in hepatoma cells and a subset of subcutaneous tumor samples from nude mice. In conclusion, SREBP2 enhances the invasion and metastasis of HCC cells by promoting EMT, which can be strengthened by the repression of LATS. Therefore, SREBP2 may serve as a novel therapeutic target for HCC.
PDK1‐stabilized LncRNA SPRY4‐IT1 promotes breast cancer progression via activating NF‐κB signaling pathway
Authors: Zhang Yulu , Chen Hongling , Yuan Renjie , Wang Yange , Zhang Dian , Zeng Qian , Jiang Weiqian , Zhang Ruiming , Chen Tingmei , Chai Chengsen , Guo Bianqin 
Published: April 2023

AbstractPyruvate dehydrogenase kinase 1 (PDK1) is a widely known glycolytic enzyme, and some evidence showed that PDK1 promoted breast cancer by multiple approaches. However, very few lncRNAs have been identified to be associated with PDK1 in breast cancer in previous research. In this study, we found that lncRNA sprouty4‐intron transcript 1 (SPRY4‐IT1) was regulated by PDK1 with correlation analysis, and PDK1 upregulated SPRY4‐IT1 remarkably in breast cancer cells, as PDK1 interacted with SPRY4‐IT1 in the nucleus and significantly enhanced the stability of SRPY4‐IT1. Furthermore, SPRY4‐IT1 was highly expressed in breast cancer, significantly promoted the proliferation and inhibited apoptosis of breast cancer cells. In terms of mechanism, SPRY4‐IT1 inhibited the transcription of NFKBIA and the expression of IκBα, thus promoting the formation of p50/p65 complex and activating NF‐κB signaling pathway, which facilitated survival of breast cancer cells. Therefore, our finding reveals that PDK1/SPRY4‐IT1/NFKBIA axis plays a crucial role that promoting tumor progression, and SPRY4‐IT1 knockdown incombined with PDK1 inhibitor is promising to be a new therapeutic strategy in breast cancer.
COVID‐19 in early 2023: Structure, replication mechanism, variants of SARS‐CoV‐2, diagnostic tests, and vaccine & drug development studies
Authors: Polatoğlu Ilker , Oncu‐Oner Tulay , Dalman Irem , Ozdogan Senanur 
Published: April 2023

AbstractCoronavirus Disease‐19 (COVID‐19) is an infectious disease caused by severe acute respiratory syndrome‐coronaviruses‐2 (SARS‐CoV‐2), a highly pathogenic and transmissible coronavirus. Most cases of COVID‐19 have mild to moderate symptoms, including cough, fever, myalgias, and headache. On the other hand, this coronavirus can lead to severe complications and death in some cases. Therefore, vaccination is the most effective tool to prevent and eradicate COVID‐19 disease. Also, rapid and effective diagnostic tests are critical in identifying cases of COVID‐19. The COVID‐19 pandemic has a dynamic structure on the agenda and contains up‐to‐date developments. This article has comprehensively discussed the most up‐to‐date pandemic situation since it first appeared. For the first time, not only the structure, replication mechanism, and variants of SARS‐CoV‐2 (Alpha, Beta, Gamma, Omicron, Delta, Epsilon, Kappa, Mu, Eta, Zeta, Theta, lota, Lambda) but also all the details of the pandemic, such as how it came out, how it spread, current cases, what precautions should be taken, prevention strategies, the vaccines produced, the tests developed, and the drugs used are reviewed in every aspect. Herein, the comparison of diagnostic tests for SARS‐CoV‐2 in terms of procedure, accuracy, cost, and time has been presented. The mechanism, safety, efficacy, and effectiveness of COVID‐19 vaccines against SARS‐CoV‐2 variants have been evaluated. Drug studies, therapeutic targets, various immunomodulators, and antiviral molecules applied to patients with COVID‐19 have been reviewed.
Spatially explicit ecological modeling improves empirical characterization of plant pathogen dispersal
Authors: Karisto Petteri , Suffert Frédéric , Mikaberidze Alexey 
Published: April 2023

AbstractDispersal is a key ecological process, but it remains difficult to measure. By recording numbers of dispersed individuals at different distances from the source, one acquires a dispersal gradient. Dispersal gradients contain information on dispersal, but they are influenced by the spatial extent of the source. How can we separate the two contributions to extract knowledge about dispersal? One could use a small, point‐like source for which a dispersal gradient represents a dispersal kernel, which quantifies the probability of an individual dispersal event from a source to a destination. However, the validity of this approximation cannot be established before conducting measurements. This represents a key challenge hindering progress in characterization of dispersal. To overcome it, we formulated a theory that incorporates the spatial extent of sources to estimate dispersal kernels from dispersal gradients. Using this theory, we re‐analyzed published dispersal gradients for three major plant pathogens. We demonstrated that the three pathogens disperse over substantially shorter distances compared to conventional estimates. This method will allow the researchers to re‐analyze a vast number of existing dispersal gradients to improve our knowledge about dispersal. The improved knowledge has potential to advance our understanding of species' range expansions and shifts, and inform management of weeds and diseases in crops.