bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction of pellet mass thresholds for ELM triggering in low-collisionality, ITER-like discharges
Authors: Wingen A. , Wilcox R.S. , Lyons B.C. , Baylor L.R. , Ferraro N.M. 
Published: April 2024

Abstract
In ITER, pellets are calculated to require more than 8 times the mass than currently planned to reliably trigger edge-localized modes (ELMs). Unmitigated heat flux impulses from ELMs are intolerable in ITER at full power and current. Therefore, ITER operation relies on multiple approaches to control ELM heat fluxes. One method is pellet ELM pacing to instigate small rapid ELMs with low heat flux. Predicting the performance of pellet pacing is critical for ITER, which is expected to operate in a regime with a low-collisionality, peeling-limited pedestal. However, to trigger ELMs the local pressure increase in the expanding pellet cloud pushes the equilibrium over the ballooning stability limit. In this work, linear and nonlinear M3D-C1 simulations are used to predict pellet mass thresholds in DIII-D discharges and ITER scenarios with peeling-limited pedestals. It is found that the distance of the equilibrium’s operational point from the ballooning branch of the pedestal stability boundary strongly changes thresholds. Linear M3D-C1 simulations find a strong dependence of the pellet mass threshold on the poloidal injection location for ITER’s 15 MA, Q = 10 scenario. The required pellet mass at the planned injection locations is 8 to 17 times larger than currently considered. However, such linear simulations do not include pellet ablation physics or time evolution of density and temperature. A new scheme of 2D nonlinear simulations, coupled with linear stability analysis at various steps throughout the nonlinear time evolution, was developed to include such physics and improve on the linear results. These new nonlinear-to-linear simulations confirm previous findings. This result suggests that pellet ELM triggering in ITER could require pellets much larger than those currently planned, which makes ELM-pacing operationally challenging. On the other hand, fueling pellets injected from the high-field side will likely not unintentionally trigger ELMs in an otherwise ELM-stable plasma.
Integration of EDWARD readout architecture in full-field fluorescence imaging detector
Authors: Gorni D.S. , Carini G.A. , Deptuch G.W. , Kuczewski A. , Maj P. , Mandal S. , Pinaroli G. , Rumaiz A. , Siddons D.P. , John N.St. 
Published: April 2024

Abstract
Data bandwidth, timing resolution and resource utilization in readouts of radiation detectors are a constant challenge. Event driven solutions are pushing against well-trenched framed solutions. The idea for an asynchronous readout architecture called EDWARD (Event-Driven With Access and Reset Decoder) was presented at the TWEPP 2021 conference. Here we show the progress of our work which resulted in two chip prototypes. The first one, named 3FI65P1, is a full device with the analog pixel circuitry suited for full-field fluorescence imaging. It is already manufactured, and preliminary results are presented. The second chip, named EDWARD65P1, contains digital pulse generators with Poisson-exponential distribution in each pixel for extraction of the performance matrix of the EDWARD architecture alone.
A novel silicon pixel sensor for beam monitoring applications at heavy-ion accelerators
Authors: Tian Y. , Zhou W. , Wang Q. , Niu X. , Han W. , Yang H. , Zhang H. , Liao S. , Li X. , Zhao C. 
Published: April 2024

Abstract
This paper describes a silicon pixel sensor for non-interceptive real-time beam monitoring at heavy-ion accelerators. The total size of the sensor is 4 mm × 5 mm. It has 64 (row) × 120 (column) square pixels, each single of which is in the size of 40 μm × 40 μm. With the exposed sensing pad, this sensor can directly collect the charge in the media over the pixels. The in-pixel circuit mainly consists of a low-noise Charge Sensitive Amplifier (CSA) to establish the signal for the energy reconstruction and a discriminator with a Time-to-Amplitude Converter (TAC) for the Time of Arrival (TOA) measurement. The analog signal from each pixel is accessible through time-shared multiplexing over the entire pixel array. This paper will discuss the design of this IMPix-S1 sensor.
Fully synthetic, tunable poly(α-amino acids) as the base of bioinks curable by visible light
Authors: Golunova Anna , Dvořáková Jana , Velychkivska Nadiia , Strachota Beata , Dydowiczová Aneta , Trousil Jiří , Proks Vladimír 
Published: April 2024

Abstract
Bioinks play a crucial role in tissue engineering, influencing mechanical and chemical properties of the printed scaffold as well as the behavior of encapsulated cells. Recently, there has been a shift from animal origin materials to their synthetic alternatives. In this context, we present here bioinks based on fully synthetic and biodegradable poly(α,L-amino acids) (PolyAA) as an alternative to animal-based gelatin methacrylate (Gel-Ma) bioinks. Additionally, we first reported the possibility of the visible light photoinitiated incorporation of the bifunctional cell adhesive RGD peptide into the PolyAA hydrogel matrix. The obtained hydrogels are shown to be cytocompatible, and their mechanical properties closely resemble those of gelatin methacrylate-based scaffolds. Moreover, combining the unique properties of PolyAA-based bioinks, the photocrosslinking strategy, and the use of droplet-based printing allows the printing of constructs with high shape fidelity and structural integrity from low-viscosity bioinks without using any sacrificial components. Overall, presented PolyAA-based materials are a promising and versatile toolbox that extends the range of bioinks for droplet bioprinting.
Operational Markovianization in randomized benchmarking
Authors: Figueroa-Romero P , Papič M , Auer A , Hsieh M-H , Modi K , de Vega I 
Published: April 2024

Abstract
A crucial task to obtain optimal and reliable quantum devices is to quantify their overall performance. The average fidelity of quantum gates is a particular figure of merit that can be estimated efficiently by randomized benchmarking (RB). However, the concept of gate-fidelity itself relies on the crucial assumption that noise behaves in a predictable, time-local, or so-called Markovian manner, whose breakdown can naturally become the leading source of errors as quantum devices scale in size and depth. We analytically show that error suppression techniques such as dynamical decoupling (DD) and Pauli-twirling can operationally Markovianize RB: (i) fast DD reduces non-Markovian RB to an exponential decay plus longer-time corrections, while on the other hand, (ii) Pauli-twirling generally does not affect the average, but (iii) it always suppresses the variance of such RB outputs. We demonstrate these effects numerically with a qubit noise model. Our results show that simple and efficient error suppression methods can simultaneously tame non-Markovian noise and allow for standard and reliable gate quality estimation, a fundamentally important task in the path toward fully functional quantum devices.
Laser-based bionic manufacturing
Authors: Li Xingran , Zhang Baoyu , Jakobi Timothy , Yu Zhenglei , Ren Luquan , Zhang Zhihui 
Published: April 2024

Abstract
Over millions of years of natural evolution, organisms have developed nearly perfect structures and functions. The self-fabrication of organisms serves as a valuable source of inspiration for designing the next-generation of structural materials, and is driving the future paradigm shift of modern materials science and engineering. However, the complex structures and multifunctional integrated optimization of organisms far exceed the capability of artificial design and fabrication technology, and new manufacturing methods are urgently needed to achieve efficient reproduction of biological functions. As one of the most valuable advanced manufacturing technologies of the 21st century, laser processing technology provides an efficient solution to the critical challenges of bionic manufacturing. This review outlines the processing principles, manufacturing strategies, potential applications, challenges, and future development outlook of laser processing in bionic manufacturing domains. Three primary manufacturing strategies for laser-based bionic manufacturing are elucidated: subtractive manufacturing, equivalent manufacturing, and additive manufacturing. The progress and trends in bionic subtractive manufacturing applied to micro/nano structural surfaces, bionic equivalent manufacturing for surface strengthening, and bionic additive manufacturing aiming to achieve bionic spatial structures, are reported. Finally, the key problems faced by laser-based bionic manufacturing, its limitations, and the development trends of its existing technologies are discussed.
Self-cascode and self-biased Dickson charge pump for fast locking wide lock range PLL with reduced phase noise
Authors: Buddha Dharani , Jena Biswajit , Pandey Chandan Kumar , Nanda Umakanta , Hsu Chih-Chieh 
Published: April 2024

Abstract
The charge pump is a fundamental component in phase-locked loop (PLL) circuits, essential for generating a control voltage that adjusts the frequency and phase of the voltage-controlled oscillator (VCO) to match the input reference signal. The self-cascode and self-biased Dickson charge pump architecture presented in this work addresses several key challenges encountered in conventional PLL designs. By integrating self-cascode techniques, the charge pump exhibits enhanced charging and discharging capabilities, enabling faster locking times essential for wide lock range PLLs. This comprehensive approach offers a compact and integrated solution that simultaneously enhances locking speed, widens the lock range, reduces phase noise, and simplifies design complexity, making it highly suitable for demanding applications in communication systems, radar, and wireless technologies. The novel CP is implemented in 90-nm CMOS technology with a 1.0-V supply voltage. It is integrated with a phase-locked loop (PLL) that has a lock time of 1.0 us, a negligible reference spur, and an average power consumption of 34.7 mW. The PLL is having a wide lock range of 0.98 GHz to 2.98 GHz with a center frequency of 1.54 GHz where the phase noise is calculated to be −100.9 dBc/Hz at 1 MHz offset frequency. This makes the PLL compatible with both GSM having 1.8 GHz and Wi-Fi having 2.8 GHz frequency bands. The proposed PLL is also capable of operating at a wide range of temperatures (−27 °C, 0 °C, 27 °C, 84 °C) and at various corners (NN, FS, SF, SS, FF) making it reliable in adverse circumstances.
Interchangeability of multi-decade skin and surface air temperature trends over land in models
Authors: Richardson Mark T 
Published: April 2024

Abstract
Satellite land surface temperature (Ts
) records have now reached 20+ year length, but their trends may differ from historical records built from in-situ measurements of near-surface air temperature (Tas
). In the ERA5 reanalysis, 60° S–60° N land Ts
and Tas
trends can differ by up to ±0.06 °C decade−1 over 20 years, depending on the period, or more on smaller spatial scales. Here I use 1979–1998 outputs from ACCESS1-0 climate model simulations with prescribed land Ts
to understand changes in Ts
and Tas
. CO2’s effective radiative forcing causes adjustments that warm Tas
relative to Ts
. In ACCESS1-0, vegetation enhances the adjustments to CO2 over land. Meanwhile, feedbacks in ACCESS1-0 oppose the adjustments, resulting in small long-term net effects on global temperature estimates. In coupled simulations from other models, there is no agreement on whether Ts
or Tas
warms more and the most extreme case shows global long-term differences of just 5% between land Ts
or land Tas
trends. The results contrast with over-ocean behavior where adjustments and feedbacks reinforce each other, and drive larger long-term Tas
warming relative to Ts
across all models.
Exemplary Damages Practice in Late Eighteenth and Early Nineteenth-Century England
Authors: Sinanis Nicholas 
Published: April 2024

Abstract
A longer perspective on the modern Anglo-American law of exemplary (or punitive) damages views it as having first begun to emerge after the cases of Huckle v Money and Wilkes v Wood were decided in 1763. This article seeks to further deepen and clarify this perspective. It does so by systematically tracing the evolution of the adjudicative practice according to which English civil juries awarded ‘exemplary damages’ from the period circa 1764 to the early nineteenth century. It shows that this practice scarcely ‘hardened into law’ in the aftermath of the Huckle and Wilkes decisions. In fact, as had been the case long before 1763, for a long time after it, jury determinations as to exemplary damages in common law tort actions remained entirely outside the control of any formal legal doctrine which either of these decisions were taken to have authoritatively recognized.
MGCNSS: miRNA–disease association prediction with multi-layer graph convolution and distance-based negative sample selection strategy
Authors: Tian Zhen , Han Chenguang , Xu Lewen , Teng Zhixia , Song Wei 
Published: April 2024

Abstract
Identifying disease-associated microRNAs (miRNAs) could help understand the deep mechanism of diseases, which promotes the development of new medicine. Recently, network-based approaches have been widely proposed for inferring the potential associations between miRNAs and diseases. However, these approaches ignore the importance of different relations in meta-paths when learning the embeddings of miRNAs and diseases. Besides, they pay little attention to screening out reliable negative samples which is crucial for improving the prediction accuracy. In this study, we propose a novel approach named MGCNSS with the multi-layer graph convolution and high-quality negative sample selection strategy. Specifically, MGCNSS first constructs a comprehensive heterogeneous network by integrating miRNA and disease similarity networks coupled with their known association relationships. Then, we employ the multi-layer graph convolution to automatically capture the meta-path relations with different lengths in the heterogeneous network and learn the discriminative representations of miRNAs and diseases. After that, MGCNSS establishes a highly reliable negative sample set from the unlabeled sample set with the negative distance-based sample selection strategy. Finally, we train MGCNSS under an unsupervised learning manner and predict the potential associations between miRNAs and diseases. The experimental results fully demonstrate that MGCNSS outperforms all baseline methods on both balanced and imbalanced datasets. More importantly, we conduct case studies on colon neoplasms and esophageal neoplasms, further confirming the ability of MGCNSS to detect potential candidate miRNAs. The source code is publicly available on GitHub https://github.com/15136943622/MGCNSS/tree/master
Community cohesion looseness in gene networks reveals individualized drug targets and resistance
Authors: Wang Seunghyun , Lee Doheon 
Published: April 2024

Abstract
Community cohesion plays a critical role in the determination of an individual’s health in social science. Intriguingly, a community structure of gene networks indicates that the concept of community cohesion could be applied between the genes as well to overcome the limitations of single gene-based biomarkers for precision oncology. Here, we develop community cohesion scores which precisely quantify the community ability to retain the interactions between the genes and their cellular functions in each individualized gene network. Using breast cancer as a proof-of-concept study, we measure the community cohesion score profiles of 950 case samples and predict the individualized therapeutic targets in 2-fold. First, we prioritize them by finding druggable genes present in the community with the most and relatively decreased scores in each individual. Then, we pinpoint more individualized therapeutic targets by discovering the genes which greatly contribute to the community cohesion looseness in each individualized gene network. Compared with the previous approaches, the community cohesion scores show at least four times higher performance in predicting effective individualized chemotherapy targets based on drug sensitivity data. Furthermore, the community cohesion scores successfully discover the known breast cancer subtypes and we suggest new targeted therapy targets for triple negative breast cancer (e.g. KIT and GABRP). Lastly, we demonstrate that the community cohesion scores can predict tamoxifen responses in ER+ breast cancer and suggest potential combination therapies (e.g. NAMPT and RXRA inhibitors) to reduce endocrine therapy resistance based on individualized characteristics. Our method opens new perspectives for the biomarker development in precision oncology.
Dysregulated lipid metabolism networks modulate T-cell function in people with relapsing-remitting multiple sclerosis
Authors: Martin-Gutierrez Lucia , Waddington Kirsty E , Maggio Annalisa , Coelewij Leda , Oppong Alexandra E , Yang Nina , Adriani Marsilio , Nytrova Petra , Farrell Rachel , Pineda-Torra Inés , Jury Elizabeth C 
Published: April 2024

Abstract
Altered cholesterol, oxysterol, sphingolipid, and fatty acid concentrations are reported in blood, cerebrospinal fluid, and brain tissue of people with relapsing-remitting multiple sclerosis (RRMS) and are linked to disease progression and treatment responses. CD4 + T cells are pathogenic in RRMS, and defective T-cell function could be mediated in part by liver X receptors (LXRs)—nuclear receptors that regulate lipid homeostasis and immunity. RNA-sequencing and pathway analysis identified that genes within the ‘lipid metabolism’ and ‘signalling of nuclear receptors’ pathways were dysregulated in CD4 + T cells isolated from RRMS patients compared with healthy donors. While LXRB and genes associated with cholesterol metabolism were upregulated, other T-cell LXR-target genes, including genes involved in cellular lipid uptake (inducible degrader of the LDL receptor, IDOL), and the rate-limiting enzyme for glycosphingolipid biosynthesis (UDP-glucosylceramide synthase, UGCG) were downregulated in T cells from patients with RRMS compared to healthy donors. Correspondingly, plasma membrane glycosphingolipids were reduced, and cholesterol levels increased in RRMS CD4 + T cells, an effect partially recapitulated in healthy T cells by in vitro culture with T-cell receptor stimulation in the presence of serum from RRMS patients. Notably, stimulation with LXR-agonist GW3965 normalized membrane cholesterol levels, and reduced proliferation and IL17 cytokine production in RRMS CD4 + T-cells. Thus, LXR-mediated lipid metabolism pathways were dysregulated in T cells from patients with RRMS and could contribute to RRMS pathogenesis. Therapies that modify lipid metabolism could help restore immune cell function.
Synthesis of N-oxide Poly(1-vinylimidazole) for pDNA delivery systems in vivo
Authors: Misaizu Ren , Negishi Yoichi , Asayama Shoichiro 
Published: April 2024

Abstract
N-oxide poly(1-vinylimidazole) (PVIm+–O−) has been synthesized as a unique biocompatible polyampholyte. Measurements of solution turbidity prove that PVIm+–O− had no significant effect on rapid aggregate formation with serum proteins. Agarose gel retardation assay, particle size/ζ-potential measurement, and cytotoxicity evaluation prove that the PVIm+–O− coated binary complexes between branched poly(ethyleneimine) (bPEI) and plasmid DNA (pDNA). The resulting PVIm+–O−/bPEI/pDNA ternary complex mediated higher gene expression than the bPEI/pDNA binary complex in vivo mouse skeletal muscle. These results suggest that PVIm+–O− is a polyampholyte for biocompatibility.
Hardly water-soluble pseudo-polyrotaxane nanosheets comprising polyethylene-oxide-modified polydimethylsiloxane and gamma-cyclodextrin
Authors: Sugiyama Kazuhiro , Hayashi Kaori , Sakaihara Yuji , Uenuma Shuntaro , Ito Kohzo 
Published: April 2024

Abstract
We have successfully prepared hardy water-soluble pseudo-polyrotaxane nanosheets composed of carboxy group-terminated polyethylene oxide (PEO)-modified polydimethylsiloxane and γ-cyclodextrin (CD). These pseudo-polyrotaxane nanosheets are more water-insoluble than previously reported pseudo-polyrotaxane nanosheets composed of pluronic—a triblock polymer comprising PEO, polypropylene oxide (PPO), and PEO—and β-CD, and have potential applications as surface treatment agents.
Ten tips on how to assess bone health in patients with chronic kidney disease
Authors: Jørgensen Hanne Skou , Lloret Maria Jesús , Lalayiannis Alexander D , Shroff Rukshana , Evenepoel Pieter ,   European Renal Osteodystrophy (EUROD) initiative of the CKD-MBD working group of the European Renal Association (ERA), and the CKD-MBD and Dialysis working groups of the European Society of Pediatric Nephrology, Bacchetta Justine , Bravenboer Nathalie , Ferreira Anibal , Fusaro Maria , Haarhaus Mathias , Lafage-Proust Marie-Helene 
Published: April 2024

ABSTRACT
Patients with chronic kidney disease (CKD) experience a several-fold increased risk of fracture. Despite the high incidence and the associated excess morbidity and premature mortality, bone fragility in CKD, or CKD-associated osteoporosis, remains a blind spot in nephrology with an immense treatment gap. Defining the bone phenotype is a prerequisite for the appropriate therapy of CKD-associated osteoporosis at the patient level. In the present review, we suggest 10 practical ‘tips and tricks’ for the assessment of bone health in patients with CKD. We describe the clinical, biochemical, and radiological evaluation of bone health, alongside the benefits and limitations of the available diagnostics. A bone biopsy, the gold standard for diagnosing renal bone disease, is invasive and not widely available; although useful in complex cases, we do not consider it an essential component of bone assessment in patients with CKD-associated osteoporosis. Furthermore, we advocate for the deployment of multidisciplinary expert teams at local, national, and potentially international level. Finally, we address the knowledge gaps in the diagnosis, particularly early detection, appropriate “real-time” monitoring of bone health in this highly vulnerable population, and emerging diagnostic tools, currently primarily used in research, that may be on the horizon of clinical practice.
Online calls for protest and offline mobilization in autocracies: evidence from the 2017 Dey Protests in Iran
Authors: Kadivar Mohammad Ali , Ketchley Neil , Sotoudeh-Sherbaf Abolfazl , Barrie Christopher 
Published: April 2024

Abstract
A body of research suggests that social media has afforded new opportunities for orchestrating mobilization in autocracies. However, the mechanisms linking online coordination with offline mobilization are rarely demonstrated. We address this lacuna by exploring the impact of Farsi-language social media posts that called for protest on precise days and locations in Iran during the 2017 ‘Dey Protests’. To conduct our analysis, we match a dataset of posts with an original protest event catalogue. Our results show that if a district was the subject of a protest call, it was much more likely to witness higher levels of mobilization on the target date. This relationship was especially pronounced for calls that received more online engagement. The findings suggest that the digital commons can play a role akin to an analogue protest flyer: social media posts can inform broad audiences of the where and when of upcoming mobilization.