bluuebunny/crossref_metadata_2025_split huggingface dataset:
Why bootstrapping for J-holomorphic curves fails in $$C^k$$
Authors: Geiges Hansjörg , Sağlam Murat , Zehmisch Kai 
Published: January 2023

AbstractWe present a simple example for the failure of the Calderón–Zygmund estimate for the $$\overline{\partial }$$

∂
¯

-operator when the Sobolev (k, p)-norms are replaced by the $$C^k$$

C
k

-norms. This example is discussed in the context of elliptic bootstrapping, Fredholm theory, and the regularity of J-holomorphic curves.
Infinitesimal Torelli for weighted complete intersections and certain Fano threefolds
Authors: Licht Philipp 
Published: January 2023

AbstractWe generalize the classical approach of describing the infinitesimal Torelli map in terms of multiplication in a Jacobi ring to the case of quasi-smooth complete intersections in weighted projective space. As an application, we prove that the infinitesimal Torelli theorem does not hold for hyperelliptic Fano threefolds of Picard rank 1, index 1, degree 4, and study the action of the automorphism group on cohomology. The results of this paper are used to prove Lang-Vojta’s conjecture for the moduli of such Fano threefolds in a follow-up paper.
Changes in Religiosity and Reliance on God during the COVID-19 Pandemic: A Protective Role under Conditions of Financial Strain?
Authors: Upenieks Laura , Ellison Christopher G. 
Published: January 2023

Background The COVID-19 pandemic was one of the most devastating disasters of the twenty-first century and has exacted a steep health and economic toll. During times of suffering caused by the pandemic, religion/spirituality may prove to be a consistent and valuable coping resource. Purpose We situate changes in religious importance and reliance on God as key aspects of religious life that may be important coping mechanisms in response to pandemic-related financial hardship, addressing a gap in the literature on religious coping during the pandemic and considering self-reported changes in religiosity. Methods We use data from a nationally representative sample of Americans that was collected in 2021 (N = 1704) and employ a series of OLS Regression Models. Results Our results suggest that relying more heavily on God was associated with lower psychological distress, and a stronger reliance on God buffered the deleterious consequences of financial strain on psychological distress. No such patterns were documented for religious importance. Conclusion and Implications We discuss our findings within the broader religion and health literature as to whether secondary control via a divine power reduces or enhances individual agency and discuss religion/spirituality may be a consistent and valuable coping resource through adversity and suffering. Though it may be challenging to maintain, or increase, religious/spiritual beliefs in the face of adversity, that there were observed benefits to well-being for doing so could serve as insightful guidance for both religious leaders and R/S individuals.
Embodied Faith and the Limits of Female Agency in Randa Abdel-Fattah’s Does My Head Look Big in This?
Authors: Chaoui Saleh 
Published: January 2023

AbstractThe present essay discusses Randa Abdel-Fattah’s Does My Head Look Big in This? by focusing on the rendition of Islam as an axis of social agency in an environment that is excessively antagonistic of any version of Islam that falls outside the contours of the “liberal model” morphed by the Western creed of equality, liberty. Amal, the protagonist, embodies the dilemmas of choice and agency within an ideological rubric which disassociates such notions from faith-based convictions. The analysis relies on the notion of Muslim agency as theorized by Saba Mahmood, for whom the conscious formation of deeply rooted religious subjectivities is sidelined within the modern secular rubrics of self-formation. The article also draws on W.E.B Du Bois’s concept of double consciousness to highlight the extent to which Muslim female bodies are caught at the intersection between religion and nation. Hence, this essay discloses the challenges facing Muslim women whose exercise of agency is tied to their religious beliefs in a backdrop characterized by multicultural and secular economies. More particularly, it explores Amal’s religious tradition of habituated practices—such as wearing the veil in a hostile environment—as embodiments of autonomous agency.
Competitive conditions in the public procurement markets: an investigation with network analysis
Authors: Fountoukidis Ioannis G. , Antoniou Ioannis E. , Varsakelis Nikos C. 
Published: January 2023

AbstractThe aim of this paper is to use network analysis as a monitoring tool for the competitive conditions and the behavior of the contracting authorities and companies in the public procurement market. The proposed method examines the market using network entropy and conditional network entropy, along with each agent's metrics. Network entropy offers information about the market conditions for the authorities and companies’ groups. The conditional network entropy measures the distribution of contracts across sellers or buyers for each group. The findings are signals of possible dominant positions and preferential treatment. In the second stage, the agency uses the agents’ degrees and entropies, unweighted and weighted, to inspect for possible preferential treatment or market dominance by specific agents. We applied the method in the pacemakers’ public procurement market using data from 33 countries from the period 2009–2019. The findings indicated that even though the network entropy and the conditional network entropy indicated that the market operated competitively, the examination of the companies’ degree centrality reveals the presence of at least one dominant company.
Concept evaluation of a P2 MHEV SUV: application for possible EU7 boundaries
Authors: Wancura Hannes , Kühberger Gabriel , Schutting Eberhard 
Published: January 2023

AbstractIn this work, the experimental results that appeared in the recent published article “Current experimental developments in 48 V-based CI-driven SUVs in response to expected future EU7 legislation” are used to create a proper system simulation model with the simulation platform AVL CRUISE$$^\text {TM}$$

TM

M. This simulation model is then used to perform a system validation in order to evaluate the configuration with a straight-four compression ignition (CI) engine and the selected exhaust aftertreatment system (EAS). The mild hybrid electric vehicle (MHEV) has an 48 V P2 architecture and an 8-gear dual-clutch transmission (DCT) as a powertrain configuration. In addition to evaluating the 48 V potential, the simulation is performed with a conventional 12 V configuration, but also including an electrically heated catalyst (EHC). As boundary conditions for the simulation, we use the different engine operating mode (EOM) calibrations from the test bed to trigger the dedicated operation modes of the internal combustion engine (ICE). For the exhaust aftertreatment system (EAS), an optimization loop is performed to obtain a layout which will be near a serial production. This includes optimizing the heat losses and reducing the thermal mass of the canning. Beside the plant models, a hybrid control unit (HCU) is used, which includes an exhaust aftertreatment system coordinator (EASC). With these functionalities, the EOMs, electrically heated catalyst (EHC), electric machine (EM) and dosing control unit (DCU) are optimized to obtain the lowest possible nitrogen oxides (NOx) with an carbon dioxide (CO$$_{2}$$

2

) reduction potential. The targets for the emission limits are defined on the basis of the available information from the Consortium for ultra-Low Vehicle Emissions (CLOVE) and International Council on Clean Transportation (ICCT) proposals.
Adult presentations of variable kidney and liver phenotypes secondary to biallelic PKHD1 pathogenic variants
Authors: Das Ananya , Mead Paul , Sayer John A. 
Published: January 2023

AbstractThe polycystic kidney and hepatic disease 1 (PKHD1) gene located on chromosome 6p12 encodes for a large transmembrane protein called fibrocystin. Biallelic pathogenic variants in this gene cause autosomal recessive polycystic kidney disease (ARPKD). ARPKD often leads to both early-onset polycystic kidney disease as well as congenital hepatic fibrosis. In addition to the early onset phenotypes, some patients present much later with adult-onset liver involvement which is often labeled as Caroli’s syndrome. The kidney phenotype can resemble medullary sponge kidney disease with nephrolithiasis as well as atypical cystic kidney disease. Here, we present two families, each with 2 affected siblings, where the presenting liver and kidney features were variable among the siblings, with presentations including late-onset liver phenotypes, kidney features which had been labeled as medullary sponge kidney, and cystic kidney disease. Molecular genetic investigations identified biallelic pathogenic variants in PKHD1 in the affected siblings, including a novel nonsense allele. These cases emphasize the adult-onset and variable and sometimes discordant phenotypes that may be observed with PKHD1 biallelic pathogenic variants.
Vagueness in Artificial Intelligence: The ‘Fuzzy Logic’ of AI-Related Patent Claims
Authors: Ferrero Guillén Rebeca , Breckwoldt Jurado Altair 
Published: January 2023

AbstractArtificial intelligence is an emerging technology with an average growth rate of 64.70% in patent filings worldwide and 39.71% in Europe between 2015 and 2019, according to Espacenet queries. This trend has raised several concerns regarding the implications for Intellectual Property rights, including disclosure, which is one of the main components justifying the existence of the patent system. Despite its importance, this requirement has been disputed due to certain tendencies that distort the functions that the act of disclosure fulfils, such as promoting innovation, research or teaching. With artificial intelligence–related patents being granted, the disclosure requirement is once again compromised, and perhaps even more due to the particularities that this branch of technology entails. In this sense, one main concern lies in the question of how artificial intelligence–related patents should be disclosed, as well as the fulfilment with this requirement. To this aim, two case studies are conducted to show the heterogeneity of compliance with this requirement, focusing on patents filed at the European Patent Office. The methodology used in the case studies consists in the analysis of a core-AI patent and an AI application patent which allow to assess the differences in the disclosure of both inventions. The heterogeneity between both case studies highlights the relevance of the topic and allows to propose three recommendations to improve sufficiency of disclosure in AI-related patent claims: metrics and benchmark analysis, standardisation of patent claim construction by introducing a ‘claim chart’ and introducing a peer review patent programme.
Semantic cross-scale numerical anchoring
Authors: Harris Adam J. L. , Speekenbrink Maarten 
Published: January 2023

AbstractAnchoring effects are robust, varied and can be consequential. Researchers have provided a variety of alternative explanations for these effects. More recently, it has become apparent that anchoring effects might be produced by a variety of different processes, either acting simultaneously, or else individually in distinct situations. An unresolved issue is whether anchoring, aside from simple numeric priming, can transcend scales. That is, is it necessary that the anchor value and the target judgment are expressed in the same units? Despite some theoretical predictions to the contrary, this paper demonstrates semantic cross-scale anchoring in four experiments. Such effects are important for the direction of future theorising on the causes of anchoring effects and understanding the scope of their consequences in applied domains.
New LiDAR‐Based Elevation Model Shows Greatest Increase in Global Coastal Exposure to Flooding to Be Caused by Early‐Stage Sea‐Level Rise
Authors: Vernimmen Ronald , Hooijer Aljosja 
Published: January 2023

AbstractThe latest projections indicate that sea‐level rise (SLR) is certain to exceed 2 m in coming centuries, and a rise by 4 m is considered possible. Radar‐based land elevation models applied to date suggest that the increase of area below mean sea level, that is potentially exposed to permanent flooding, will accelerate as SLR proceeds, being relatively limited initially. However, applying new and more accurate satellite LiDAR elevation data we find the opposite pattern, with the fastest increase in the area of exposed land occurring in the early stages of SLR. In one‐third of countries most of this increase will be caused by the first meter of SLR and in nearly all within the first 2 m. We conclude that in many regions the time available to prepare for increased exposure to flooding may be considerably less than assumed to date, and that better elevation data will support timely preparations. The global LiDAR lowland DTM (GLL_DTM_v2) elevation data set developed for this assessment is available in the public domain.
Metal-halide perovskites for high-efficiency radiation shielding applications
Authors: Dong Qingfeng , Fang Yanjun 
Published: January 2023

AbstractThe ionizing radiation possesses extremely strong penetration capability, which poses serious risk on the health of the human body and jeopardize electronics. Here the authors demonstrate that MAPbI3/epoxy composites prepared by a simple method show high radiation shielding performance.
DDX17 induces epithelial-mesenchymal transition and metastasis through the miR-149-3p/CYBRD1 pathway in colorectal cancer
Authors: Zhao Gang , Wang Qijing , Zhang Yue , Gu Rui , Liu Min , Li Qin , Zhang Jie , Yuan Hang , Feng Tianyu , Ou Deqiong , Li Siqi , Li Shan , Li Kai , Mo Chunfen , Lin Ping 
Published: January 2023

AbstractDEAD box helicase 17 (DDX17) has been reported to be involved in the initiation and development of several cancers. However, the functional role and mechanisms of DDX17 in colorectal cancer (CRC) malignant progression and metastasis remain unclear. Here, we reported that DDX17 expression was increased in CRC tissues compared with noncancerous mucosa tissues and further upregulated in CRC liver metastasis compared with patient-paired primary tumors. High levels of DDX17 were significantly correlated with aggressive phenotypes and worse clinical outcomes in CRC patients. Ectopic expression of DDX17 promoted cell migration and invasion in vitro and in vivo, while the opposite results were obtained in DDX17-deficient CRC cells. We identified miR-149-3p as a potential downstream miRNA of DDX17 through RNA sequencing analysis, and miR-149-3p displayed a suppressive effect on the metastatic potential of CRC cells. We demonstrated that CYBRD1 (a ferric reductase that contributes to dietary iron absorption) was a direct target of miR-149-3p and that miR-149-3p was required for DDX17-mediated regulation of CYBRD1 expression. Moreover, DDX17 contributed to the metastasis and epithelial to mesenchymal transition (EMT) of CRC cells via downregulation of miR-149-3p, which resulted in increased CYBRD1 expression. In conclusion, our findings not only highlight the significance of DDX17 in the aggressive development and prognosis of CRC patients, but also reveal a novel mechanism underlying DDX17-mediated CRC cell metastasis and EMT progression through manipulation of the miR-149-3p/CYBRD1 pathway.
Magnify is a universal molecular anchoring strategy for expansion microscopy
Authors: Klimas Aleksandra , Gallagher Brendan R. , Wijesekara Piyumi , Fekir Sinda , DiBernardo Emma F. , Cheng Zhangyu , Stolz Donna B. , Cambi Franca , Watkins Simon C. , Brody Steven L. , Horani Amjad , Barth Alison L. , Moore Christopher I. , Ren Xi , Zhao Yongxin 
Published: January 2023

AbstractExpansion microscopy enables nanoimaging with conventional microscopes by physically and isotropically magnifying preserved biological specimens embedded in a crosslinked water-swellable hydrogel. Current expansion microscopy protocols require prior treatment with reactive anchoring chemicals to link specific labels and biomolecule classes to the gel. We describe a strategy called Magnify, which uses a mechanically sturdy gel that retains nucleic acids, proteins and lipids without the need for a separate anchoring step. Magnify expands biological specimens up to 11 times and facilitates imaging of cells and tissues with effectively around 25-nm resolution using a diffraction-limited objective lens of about 280 nm on conventional optical microscopes or with around 15 nm effective resolution if combined with super-resolution optical fluctuation imaging. We demonstrate Magnify on a broad range of biological specimens, providing insight into nanoscopic subcellular structures, including synaptic proteins from mouse brain, podocyte foot processes in formalin-fixed paraffin-embedded human kidney and defects in cilia and basal bodies in drug-treated human lung organoids.
Cryopreservation of tissues by slow-freezing using an emerging zwitterionic cryoprotectant
Authors: Ishizaki Takeru , Takeuchi Yasuto , Ishibashi Kojiro , Gotoh Noriko , Hirata Eishu , Kuroda Kosuke 
Published: January 2023

AbstractCryopreservation of tissues is a tough challenge. Cryopreservation is categorized into slow-freezing and vitrification, and vitrification has recently been recognized as a suitable method for tissue cryopreservation. On the contrary, some researchers have reported that slow-freezing also has potential for tissue cryopreservation. Although conventional cryoprotectants have been studied well, some novel ones may efficiently cryopreserve tissues via slow-freezing. In this study, we used aqueous solutions of an emerging cryoprotectant, an artificial zwitterion supplemented with a conventional cryoprotectant, dimethyl sulfoxide (DMSO), for cell spheroids. The zwitterion/DMSO aqueous solutions produced a better cryoprotective effect on cell spheroids, which are the smallest units of tissues, compared to that of a commercial cryoprotectant. Cryopreservation with the zwitterion/DMSO solutions not only exhibited better cell recovery but also maintained the functions of the spheroids effectively. The optimized composition of the solution was 10 wt% zwitterion, 15 wt% DMSO, and 75 wt% water. The zwitterion/DMSO solution gave a higher number of living cells for the cryopreservation of mouse tumor tissues than a commercial cryoprotectant. The zwitterion/DMSO solution was also able to cryopreserve human tumor tissue, a patient-derived xenograft.
Prediction of tide level based on variable weight combination of LightGBM and CNN-BiGRU model
Authors: Su Ye , Jiang Xuchu 
Published: January 2023

AbstractAccurate tide level prediction is crucial to human activities in coastal areas. Many practical applications show that compared with traditional harmonic analysis, long short-term memory (LSTM), gated recurrent units (GRUs) and other neural networks, along with ensemble learning models, such as light gradient boosting machine (LightGBM) and eXtreme gradient boosting (XGBoost), can achieve extremely high prediction accuracy in relatively stationary time series. Therefore, this paper proposes a variable weight combination model based on LightGBM and CNN-BiGRU with relevant research. It uses the variable weight combination method to weight and synthesize the prediction results of the two base models so that the combination model has a stronger ability to capture time series features and fits the data well. The experimental results show that in contrast to the base model LightGBM, the RMSE value and MAE value of the combination model are reduced by 43.2% and 44.7%, respectively; in contrast to the base model CNN-BiGRU, the RMSE value and MAE value of the combination model are reduced by 35.3% and 39.1%, respectively. This means that the variable weight combination model can greatly improve the accuracy of tide level prediction. In addition, we use tidal data from different geographical environments to further verify the good universality of the model. This study provides a new idea and method for tide prediction.
Association of LncRNA-PAX8-AS1 and LAIR-2 polymorphisms along with their expression with clinical and subclinical hypothyroidism
Authors: Elsayed Omar M. , Abdelazim Samy A. , Darwish Hebatallah A. , Shaker Olfat G. , Senousy Mahmoud A. 
Published: January 2023

AbstractThe genetic and epigenetic architecture of clinical and subclinical hypothyroidism remains unclear. We investigated the impact of long noncoding RNA (LncRNA)-PAX8-AS1 and LAIR-2 genetic variants on the susceptibility to clinical and subclinical hypothyroidism, their influence on LncRNA-PAX8-AS1 and LAIR-2 expression and their potential as hypothyroid biomarkers. Hundred clinical hypothyroid patients, 110 subclinical hypothyroid patients, and 95 healthy controls were enrolled. Gene expression analysis and genotyping were performed by qPCR. LAIR-2 protein, a proinflammatory mediator, was tested by ELISA. Serum LncRNA-PAX8-AS1 was downregulated, whereas LAIR-2 mRNA and protein levels were upregulated in clinical and subclinical hypothyroid patients compared to healthy controls. LncRNA-PAX8-AS1 rs4848320 and rs1110839 were associated with increased risk of clinical hypothyroidism. Interestingly, both SNPs were associated with differential expression of serum LncRNA-PAX8-AS1 among clinical hypothyroid patients. LAIR-2 rs2287828 was associated with elevated risk of both clinical and subclinical hypothyroidism. Harboring the rs2287828 T allele augmented the LAIR-2 mRNA expression among clinical hypothyroid patients, while elevated both LAIR-2 mRNA and protein levels in subclinical hypothyroid patients. The rs4848320-rs1110839-rs2287828 TTT, CTT, and CGT haplotypes were associated with increased hypothyroid risk. Surprisingly, serum LncRNA-PAX8-AS1 and LAIR-2 mRNA expression demonstrated superior diagnostic accuracy for clinical hypothyroidism and turned out as independent predictors in the multivariate analysis. Conclusively, LncRNA-PAX8-AS1 and LAIR-2 genetic variants are novel genetic biomarkers of hypothyroidism that could alter the LncRNA-PAX8-AS1 and LAIR-2 expression. LncRNA-PAX8-AS1 and LAIR-2 expression profiles have the potential as effective diagnostic and prognostic indicators of hypothyroidism.
Preparation, characteristics and cytotoxicity of green synthesized selenium nanoparticles using Paenibacillus motobuensis LY5201 isolated from the local specialty food of longevity area
Authors: Long Qian , Cui Lan-kun , He Sheng-bin , Sun Jian , Chen Quan-zhi , Bao Hao-dong , Liang Teng-yue , Liang Bao-yue , Cui Lan-yu 
Published: January 2023

AbstractSelenium is an essential micronutrient element. For the extremely biotoxic of selenite, Selenium nanoparticles (SeNPs) is gaining increasing interest. In this work, a selenium-enriched strain with highly selenite-resistant (up to 173 mmol/L) was isolated from the local specialty food of longevity area and identified as Paenibacillus motobuensis (P. motobuensis) LY5201. Most of the SeNPs were accumulated extracellular. SeNPs were around spherical with a diameter of approximately 100 nm. The X-ray photoelectron spectroscopy and Fourier transform infrared spectroscopy showed that the purified SeNPs consisted of selenium and proteins. Our results suggested that P. motobuensis LY5201could be a suitable and robust biocatalyst for SeNPs synthesis. In addition, the cytotoxicity effect and the anti-invasive activity of SeNPs on the HepG2 showed an inhibitory effect on HepG2, indicating that SeNPs could be used as a potential anticancer drug.