bluuebunny/crossref_metadata_2025_split huggingface dataset:
Elevated LINC00894 relieves the oncogenic properties of thyroid cancer cell by sponging let-7e-5p to promote TIA-1 expression
Authors: Chen Bo , Liu Deqing , Chen Runjie , Guo Libing , Ran Jianmin 
Published: July 2022

AbstractLINC00894 plays an important role in cancer cell proliferation and invasion in breast and kidney cancer. However, its role in thyroid cancer proliferation and metastasis remains unclear. In this study, data on LINC00894 expression in thyroid cancer tissues were obtained from GEPIA2. miRNA expression in thyroid cancer tissues was obtained from starBase 3.0 and OncomiR. Cell proliferation was evaluated using CCK-8, and Transwell chambers were used for the migration and invasion assays. LINC00894 and let-7e-5p expressions in thyroid cancer cells were measured using qRT–PCR. Meanwhile, TIA-1 expression in thyroid cancer cells was analyzed via western blotting. We found that LINC00894 expression was markedly reduced in thyroid cancer tissues and cells, and low expression of LINC00894 was associated with poor prognosis in thyroid cancer. LINC00894 overexpression inhibited the proliferation, migration, and invasion of CAL-62 and TPC-1 cells. Additionally, let-7e-5p expression was substantially enhanced in CAL-62 and TPC-1 cells. LINC00894 overexpression promoted TIA-1 expression by acting as a sponge of let-7e-5p. Finally, let-7e-5p weakened the function of LINC00894 in thyroid cancer cells via reduction in TIA-1 levels. In conclusion, our data suggest that increased LINC00894 expression reduces the oncogenic properties of thyroid cancer cells by sponging let-7e-5p to promote TIA-1 expression.
Development, Implementation, and Evaluation of an e-Learning in Integrative Oncology for Physicians and Students Involving Experts and Learners: Experiences and Recommendations
Authors: Thomae Anita V. , Rogge Alizé A. , Helmer Stefanie M. , Icke Katja , Witt Claudia M. 
Published: July 2022

Abstract
In this project, an e-Learning program for complementary and integrative medicine in oncology was systematically developed, implemented, and evaluated in a stepwise procedure. Learning objectives and content were defined within the KOKON project network, considering the educational competencies for integrative oncology. To design a valuable e-Learning, experts were involved in all relevant steps of the process, as well as stakeholders from various target groups (undergraduates: medicine students, postgraduates: oncology physicians). We used mixed methods including quantitative surveys, progress tests, and qualitative focus groups. The developed e-Learning program led to a significant measurable knowledge gain about complementary and integrative medicine. In parallel, physicians and students were subjectively satisfied with the training. For the majority of e-Learning elements, the needs of both target groups are comparable. Furthermore, both groups emphasized the value of formative assessment tools for gaining knowledge. From the various surveys and experiences collected in this project, we derive recommendations for others developing e-Learning programs.
Semi-analytical estimation of Helmholtz resonators’ tuning frequency for scalable neck-cavity geometric couplings
Authors: Catapane Giuseppe , Magliacano Dario , Petrone Giuseppe , Casaburo Alessandro , Franco Francesco , De Rosa Sergio 
Published: July 2022

AbstractInnovative meta-materials offer great flexibility for manipulating sound waves and assure unprecedented functionality in the context of acoustic applications. Indeed, they can exhibit extraordinary properties, such as broadband low-frequency absorption, excellent sound insulation, or enhanced sound transmission. These amazing properties have drawn the eye of the transport industry, especially for aeronautic applications where objects like these can be combined and coupled with primary structures aiming to reduce exterior and interior noise without increasing weight. However, the design of acoustic meta-materials with exciting functionality still represents a challenge, therefore there is a huge interest about the conceptualization and design of innovative acoustic solutions making use of meta-material resonance effects. The main target of the present research work is to obtain an accurate prediction of the tuning frequency of a Helmholtz-resonating device, whose resonance properties are exploited in a wide part of acoustic meta-material design. In this context, an investigation on a correction factor for the classical formulation used to estimate the Helmholtz resonance frequency starting from its geometric characteristics, accounting for different-shaped resonators with varying neck/cavity ratios, is performed. More specifically, a set of numerical simulations for several geometric configuration is considered in order to demonstrate the limits of pre-existing formulas, and a new correction factor formula is developed after theoretical considerations where it is possible. In the end, results in terms of correction factors are provided in both graphical and semi-analytical form, compared with Finite Element data.
Bioprocess of astaxanthin extraction from shrimp waste via the common microorganisms Saccharomyces cerevisiae and Lactobacillus acidophilus in comparison to the chemical method
Authors: Hamdi Salwa A. H. , Ghonaim Ghadeer M. , El Sayed Rana R. , Rodríguez-Couto Susana , Abd El-Ghany Mohamed N. 
Published: July 2022

Abstract This study compared microbiological and chemical methods used in astaxanthin extraction from the exoskeleton of the shrimp species Penaeus japonicus and Penaeus semisulcatus. The microbiological method was performed using Saccharomyces cerevisiae (bakery yeast) or Lactobacillus acidophilus (from yogurt), followed by solvent extraction with hexane and acetone at different ratios (1:1, 1:2, and 1:3). The chemical method was performed traditionally using hexane. The highest astaxanthin yield from P. japonicus exoskeleton was obtained using either S. cerevisiae or L. acidophilus followed by solvent extraction with hexane and acetone at a ratio of 1:1 (8.5 and 8.1 mg/g waste, respectively) as well as by the chemical method (8.4 mg/g waste). Likewise, the highest astaxanthin yield from P. semisulcatus exoskeleton was obtained using either S. cerevisiae or L. acidophilus followed by solvent extraction with hexane and acetone at a ratio of 1:1 (3.0 and 4.1 mg/g waste, respectively) as well as by the chemical method (3.2 mg/g waste). The values obtained from P. semisulcatus exoskeleton were considerably lower than those attained from P. japonicus exoskeleton. In addition, the nuclear magnetic resonance (C-NMR) analysis confirmed that astaxanthin was the main carotenoid present in the extract. In conclusion, the pretreatment of exoskeleton wastes of P. japonicus using S. cerevisiae followed by solvent extraction with hexane and acetone at a ratio of 1:1 as well as the classical chemical treatment led to the highest astaxanthin content.
Enantiomeric Cephalotaxus alkaloids from seeds of Cephalotaxus oliveri
Authors: Yu Guang-Xing , Wu Jing , Shi Bao-Bao , Bao Mei-Fen , Cai Xiang-Hai 
Published: July 2022

AbstractFive undescribed alkaloids were isolated from the seeds of Cephalotaxus oliveri along with 27 known ones. The new structures were elucidated based on spectroscopic data including 1D and 2D NMR, MS and calculated ECD spectra. Among them, (+)-acetylcephalofortine C was an enantiomeric Cephalotaxine alkaloids. The performed bioassay revealed that those alkaloids were not cytotoxic against cancer cells and had no neuroprotective properties in the HEI-OC-1 cells model.
Acid–Base Homeostasis and Implications to the Phenotypic Behaviors of Cancer
Authors: Zhou Yi , Chang Wennan , Lu Xiaoyu , Wang Jin , Zhang Chi , Xu Ying 
Published: July 2022

Abstract
Acid–base homeostasis is a fundamental property of living cells, and its persistent disruption in human cells can lead to a wide range of diseases. In this study, we conducted a computational modeling analysis of transcriptomic data of 4750 human tissue samples of 9 cancer types in The Cancer Genome Atlas (TCGA) database. Built on our previous study, we quantitatively estimated the average production rate of OH− by cytosolic Fenton reactions, which continuously disrupt the intracellular pH (pHi) homeostasis. Our predictions indicate that all or at least a subset of 43 reprogrammed metabolisms (RMs) are induced to produce net protons (H+) at comparable rates of Fenton reactions to keep the pHi stable. We then discovered that a number of well-known phenotypes of cancers, including increased growth rate, metastasis rate, and local immune cell composition, can be naturally explained in terms of the Fenton reaction level and the induced RMs. This study strongly suggests the possibility to have a unified framework for studies of cancer-inducing stressors, adaptive metabolic reprogramming, and cancerous behaviors. In addition, strong evidence is provided to demonstrate that a popular view that Na+/H+ exchangers along with lactic acid exporters and carbonic anhydrases are responsible for the intracellular alkalization and extracellular acidification in cancer may not be justified.
Banishing the inner Econ and justifying paternalistic nudges
Authors: Hausman Daniel M. 
Published: July 2022

AbstractPaternalistic nudging and framing aim to correct flaws in deliberation by relying on the same cognitive mechanisms that create those flaws. Regarding some choices as flawed and in need of correction requires some standard of correctness. In their well-known book, Nudge, Thaler and Sunstein take the individual's own “purified” preferences to be that standard, which is inconsistent with the finding of behavioral economics that individuals do not have a stable preference ranking of alternatives, but instead construct their preferences when faced with a choice. This essay defends an alternative, readily usable standard to judge whether individuals are choosing badly and whether nudges can help them to choose better.
The Chern classes and Euler characteristic of the moduli spaces of Abelian differentials
Authors: Costantini Matteo , Möller Martin , Zachhuber Jonathan 
Published: July 2022

AbstractFor the moduli spaces of Abelian differentials, the Euler characteristic is one of the most intrinsic topological invariants. We give a formula for the Euler characteristic that relies on intersection theory on the smooth compactification by multi-scale differentials. It is a consequence of a formula for the full Chern polynomial of the cotangent bundle of the compactification.The main new technical tools are an Euler sequence for the cotangent bundle of the moduli space of multi-scale differentials and computational tools in the Chow ring, such as a description of normal bundles to boundary divisors.
Reynolds number dependence of Lagrangian dispersion in direct numerical simulations of anisotropic magnetohydrodynamic turbulence
Authors: Pratt J. , Busse A. , Müller W.-C. 
Published: July 2022

Large-scale magnetic fields thread through the electrically conducting matter of the interplanetary and interstellar medium, stellar interiors and other astrophysical plasmas, producing anisotropic flows with regions of high-Reynolds-number turbulence. It is common to encounter turbulent flows structured by a magnetic field with a strength approximately equal to the root-mean-square magnetic fluctuations. In this work, direct numerical simulations of anisotropic magnetohydrodynamic (MHD) turbulence influenced by such a magnetic field are conducted for a series of cases that have identical resolution, and increasing grid sizes up to

$2048^3$

. The result is a series of closely comparable simulations at Reynolds numbers ranging from 1400 up to 21 000. We investigate the influence of the Reynolds number from the Lagrangian viewpoint by tracking fluid particles and calculating single-particle and two-particle statistics. The influence of Alfvénic fluctuations and the fundamental anisotropy on the MHD turbulence in these statistics is discussed. Single-particle diffusion curves exhibit mildly superdiffusive behaviours that differ in the direction aligned with the magnetic field and the direction perpendicular to it. Competing alignment processes affect the dispersion of particle pairs, in particular at the beginning of the inertial subrange of time scales. Scalings for relative dispersion, which become clearer in the inertial subrange for a larger Reynolds number, can be observed that are steeper than indicated by the Richardson prediction.
Inversion of a Stokes glacier flow model emulated by deep learning
Authors: Jouvet Guillaume 
Published: July 2022

AbstractData assimilation in high-order ice flow modeling is a challenging and computationally costly task, yet crucial to find ice thickness and ice flow parameter distributions that are consistent with ice flow mechanics and mass balance while best matching observations. Failing to find these distributions that are required as initial conditions leads to a disequilibrium between mass balance and ice flow, resulting in nonphysical transient effects in the prognostic model. Here we tackle this problem by inverting an emulator of the Stokes ice flow model based on deep learning. By substituting the ice flow equations using a convolutional neural network emulator, we simplify, make more robust and dramatically speed up the solving of the underlying optimization problem thanks to automatic differentiation, stochastic gradient methods and implementation of graphics processing unit (GPU). We demonstrate this process by simultaneously inferring the ice thickness distribution, ice flow parametrization and ice surface of ten of the largest glaciers in Switzerland. As a result, we obtain a high degree of assimilation while guaranteeing an equilibrium between mass-balance and ice flow mechanics. The code runs very efficiently (optimizing one large-size glacier at 100 m takes < 1 min on a laptop) while it is open-source and publicly available.
Pain, medicine and the monitoring of war violence: the case of rifle bullets (1868–1918)
Authors: Garibian Taline 
Published: July 2022

AbstractThe St Petersburg declaration, signed in 1868, is a milestone in the history of warfare and humanitarian law, as it prohibits the use of explosive bullets, which are considered to cause unnecessary suffering. As this article shows, the framing of this declaration that put suffering at its centre, as well as the development of the humanitarian movement, favoured the birth of a new field of expertise: wound ballistics. The wars that broke out after the declaration was signed are the subject of intense scrutiny, while the advances in weaponry, and notably, the creation by the British of a new expansive bullet, provided physicians with new fields of investigation. Numerous experiments have attempted to reproduce the effects of bullets on different materials, including corpses. Based on numerous medical reports and publications, as well as military archives from France and the United Kingdom, this investigation critically examines the notion of pain, its assessment and its use in the monitoring of war violence. It argues that, paradoxically, the greater attention paid to suffering has resulted in a need to objectify pain. This rationalisation and the quest for the quantification of suffering have not been without bias and have shifted attention away from care and treatment.
How alternative splicing changes the properties of plant proteins
Authors: Kashkan Ivan , Timofeyenko Ksenia , Růžička Kamil 
Published: July 2022

Abstract
Most plant primary transcripts undergo alternative splicing (AS), and its impact on protein diversity is a subject of intensive investigation. Several studies have uncovered various mechanisms of how particular protein splice isoforms operate. However, the common principles behind the AS effects on protein function in plants have rarely been surveyed. Here, on the selected examples, we highlight diverse tissue expression patterns, subcellular localization, enzymatic activities, abilities to bind other molecules and other relevant features. We describe how the protein isoforms mutually interact to underline their intriguing roles in altering the functionality of protein complexes. Moreover, we also discuss the known cases when these interactions have been placed inside the autoregulatory loops. This review is particularly intended for plant cell and developmental biologists who would like to gain inspiration on how the splice variants encoded by their genes of interest may coordinately work.
Dual-channel LIDAR searching, positioning, tracking and landing system for rotorcraft from ships at sea
Authors: Zeng Tao , Wang Hua , Sun Xiucong , Li Hui , Lu Zhen , Tong Feifei , Cheng Hao , Zheng Canlun , Zhang Mengying 
Published: July 2022

AbstractTo address the shortcomings of existing methods for rotorcraft searching, positioning, tracking and landing on a ship at sea, a dual-channel LIDAR searching, positioning, tracking and landing system (DCLSPTLS) is proposed in this paper, which utilises the multi-pulse laser echoes accumulation method and the physical phenomenon that the laser reflectivity of the ship deck in the near-infrared band is four orders of magnitude higher than that of the sea surface. The DCLSPTLS searching and positioning model, tracking model and landing model are established, respectively. The searching and positioning model can provide estimates of the azimuth angle, the distance of the ship relative to the rotorcraft and the ship's course. With the above parameters as inputs, the total tracking time and the direction of the rotorcraft tracking speed can be obtained by using the tracking model. The landing model can calculate the pitch and the roll angles of the ship's deck relative to the rotorcraft by using the least squares method and the laser irradiation coordinates. The simulation shows that the DCLSPTLS can realise the functions of rotorcraft searching, positioning, tracking and landing by using the above parameters. To verify the effectiveness of the DCLSPTLS, a functional test is performed using a rotorcraft and a model ship on a lake. The test results are consistent with the results of the simulation.
The optimal cyclical design for a target benefit pension plan
Authors: Chen Lv , Li Danping , Wang Yumin , Zhu Xiaobai 
Published: July 2022

AbstractIn this paper, we derive the optimal cyclical design of a target benefit (TB) pension plan that balances the sustainability and the benefit stability using the optimal control approach. The optimal design possesses a linear risk sharing structure with cyclical parameters. We observe that the optimal design should be pro-cyclical in the usual circumstances, but counter-cyclical when the pension plan is severely in deficit. We compare the TB plans with the defined benefit plans and conclude that a more aggressive investment strategy should be adopted for the TB plans. In the end, we provide a cautionary note on the optimal control approach in the study of the TB plans.
A Lubrication‐Based Solver for Shear‐Thinning Flow in Rough Fractures
Authors: Lenci A. , Putti M. , Di Federico V. , Méheust Y. 
Published: July 2022

AbstractThe depth‐averaged (2D) lubrication theory is often adopted to simulate Newtonian flow in rough fractures. This approach, which is computationally much less expensive than using 3D CFD solvers, allows addressing large ensembles of stochastic fracture realizations. For creeping flow, the degree of approximation introduced is limited as long as the apertures vary relatively smoothly. We propose the first generalization of this approach addressing the flow of fluids whose rheology, described by the Ellis model, is shear‐thinning (ST) above a crossover shear stress and Newtonian (of viscosity μ0) below. The resulting nonlinear Reynolds equation for pressures is solved for a vast range of realistic rheological parameter values using a novel and specifically designed finite volume‐based numerical model. The spatial discretization takes inspiration from the graph p‐Laplacian to yield a symmetric Newton Jacobian, allowing for a highly efficient inexact implementation of the preconditioned conjugate gradient‐based Newton‐Krylov method. This is combined with a parameter continuation strategy to increase code robustness and ensure global convergence for flow indices as low as 0.1 with an excellent efficiency. This original solver is used to investigate realistic synthetic rough fracture geometries, which exhibits both self‐affinity and a correlation length. The results show that the ST rheology mitigates the effects of aperture heterogeneities, increasing fracture transmissivity by several orders of magnitudes as compared to the Newtonian flow of viscosity μ0 if the imposed macroscopic gradient is sufficiently large, and even rendering the rough fracture up to 10 times more permeable than a smooth fracture of identical mean aperture.
Deep-ultraviolet nonlinear optical crystals: concept development and materials discovery
Authors: Kang Lei , Lin Zheshuai 
Published: July 2022

AbstractDeep-ultraviolet (DUV, wavelength λ < 200 nm) nonlinear optical (NLO) crystal is the core component of frequency conversion to generate DUV laser, which plays an important role in cutting-edge laser technology and fundamental science. Significant progress has been made in both experimental exploration and theoretical design in the field of DUV NLO crystals over the past three decades. In-depth insight into “structure-property correlations”, in particular, allows for rigorous and precise identification of DUV NLO crystals. In this article, we reviewed the current experimental and theoretical research progress while elucidating the core concepts and stringent criteria of qualified DUV phase-matched second-harmonic generation crystals. We also discussed the development of the DUV NLO “structure-property correlations” from first principles and how it has sparked interest in related materials, as well as future directions for obtaining potential DUV NLO crystals.
Extensible on-chip mode manipulations based on metamaterials
Authors: Zhang Xuanru , Cui Tie Jun 
Published: July 2022

AbstractAn extensible framework is proposed for on-chip spatial-mode manipulations based on metamaterial building blocks, which enables the excitation of arbitrarily high-order spatial modes in silicon waveguides. It makes a significant step towards the comprehensive and on-chip manipulations of spatial lights, and may provide promising opportunities for complex photonic functionalities.
B cell receptor signaling drives APOBEC3 expression via direct enhancer regulation in chronic lymphocytic leukemia B cells
Authors: Wang Zhiquan , Yan Huihuang , Boysen Justin C. , Secreto Charla R. , Tschumper Renee C. , Ali Dania , Guo Qianqian , Zhong Jian , Zhou Jiaqi , Gan Haiyun , Yu Chuanhe , Jelinek Diane F. , Slager Susan L. , Parikh Sameer A. , Braggio Esteban , Kay Neil E. 
Published: July 2022

AbstractConstitutively activated B cell receptor (BCR) signaling is a primary biological feature of chronic lymphocytic leukemia (CLL). The biological events controlled by BCR signaling in CLL are not fully understood and need investigation. Here, by analysis of the chromatin states and gene expression profiles of CLL B cells from patients before and after Bruton’s tyrosine kinase inhibitor (BTKi) ibrutinib treatment, we show that BTKi treatment leads to a decreased expression of APOBEC3 family genes by regulating the activity of their enhancers. BTKi treatment reduces enrichment of enhancer marks (H3K4me1 and H3K27ac) and chromatin accessibility at putative APOBEC3 enhancers. CRISPR-Cas9 directed deletion or inhibition of the putative APOBEC3 enhancers leads to reduced APOBEC3 expression. We further find that transcription factor NFATc1 couples BCR signaling with the APOBEC3 enhancer activity to control APOBEC3 expression. We also find that enhancer-regulated APOBEC3 expression contributes to replication stress in malignant B cells. In total we demonstrate a novel mechanism for BTKi suppression of APOBEC3 expression via direct enhancer regulation in an NFATc1-dependent manner, implicating BCR signaling as a potential regulator of leukemic genomic instability.