bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-TeV dark matter density in the inner Milky Way halo: spectral and dynamical constraints
Authors: Zuriaga-Puig Jaume , Gammaldi Viviana , Gaggero Daniele , Lacroix Thomas , Sánchez-Conde M.A. 
Published: November 2023

Abstract
We develop a comprehensive study of the gamma-ray flux observed by the High Energy Stereoscopic System (H.E.S.S.) in 5 regions of the Galactic Center (GC). Motivated by previous works on a possible Dark Matter (DM) explanation for the TeV cut-off observed by H.E.S.S. in the innermost ∼ 15 pc of the Galaxy, we aim to constrain the DM distribution up to a radius of ∼ 450 pc from the GC. In this region, the benchmark approach (e.g. cosmological simulations and Galactic dynamics studies) fails to produce a strong prediction of the DM profile. Within our proof-of-concept analysis, we use DRAGON to model the diffuse background emission and determine upper limits on the density distribution of thermal multi-TeV Weakly Interactive Massive Particles (WIMPs), compatible with the observed gamma-ray flux. The results are in agreement with the hypothesis of an enhancement of the DM density in the GC with respect to the benchmark Navarro-Frenk-White (NFW) profile (γ = 1) and allow us to exclude profiles with an inner slope cuspier than γ ≳ 1.3. We also investigate the possibility that such an enhancement could be related to the existence of a DM spike associated with the supermassive black hole Sgr A* at the GC. We find out that the existence of an adiabatic DM spike smoothed by the scattering off of WIMPs by the bulge stars may be consistent with the observed gamma-ray flux if the spike forms on an underlying generalized NFW profile with γ ≲ 0.8, corresponding to a spike slope of γsp-star = 1.5 and spike radius of R
sp-stars ∼ 25 30 pc. Instead, in the extreme case of the instantaneous growth of the black hole, the underlying profile could have up to γ ∼ 1.2, a corresponding γsp-inst = 1.4 and R
sp-inst ∼ 15–25 pc. Finally, the results of our analysis of the total DM mass enclosed within the S2 orbit (updated with new GRAVITY data) are less stringent than the spectral analysis. Our work aims to guide future studies of the GC region, with both current and next generation of telescopes. In particular, the next Cherenkov Telescope Array will be able to scan the GC region with improved flux sensitivity and angular resolution.
Fast and effortless computation of profile likelihoods using CONNECT
Authors: Nygaard Andreas , Holm Emil Brinch , Hannestad Steen , Tram Thomas 
Published: November 2023

Abstract
The frequentist method of profile likelihoods has recently received renewed attention in the field of cosmology. This is because the results of inferences based on the latter may differ from those of Bayesian inferences, either because of prior choices or because of non-Gaussianity in the likelihood function. Consequently, both methods are required for a fully nuanced analysis. However, in the last decades, cosmological parameter estimation has largely been dominated by Bayesian statistics due to the numerical complexity of constructing profile likelihoods, arising mainly from the need for a large number of gradient-free optimisations of the likelihood function.
In this paper, we show how to accommodate the computational requirements of profile likelihoods using the publicly available neural network framework connect together with a novel modification of the gradient-based basin-hopping optimisation algorithm. Apart from the reduced evaluation time of the likelihood due to the neural network, we also achieve an additional speed-up of 1–2 orders of magnitude compared to profile likelihoods computed with the gradient-free method of simulated annealing, with excellent agreement between the two. This allows for the production of typical triangle plots normally associated with Bayesian marginalisation within cosmology (and previously unachievable using likelihood maximisation because of the prohibitive computational cost). We have tested the setup on three cosmological models: the ΛCDM model, an extension with varying neutrino mass, and finally a decaying cold dark matter model. Given the default precision settings in connect, we achieve a high precision in χ2 with a difference to the results obtained by class of Δχ2 ≈ 0.2 (and, importantly, without any bias in inferred parameter values) — easily good enough for profile likelihood analyses.
Corrigendum to “Electromagnetically induced transparency via localized surface plasmon mode-assisted hybrid cavity QED”
Authors: Li 李 Xiaomiao 晓苗 , Liu 刘 Famin 发民 , Li 李 Zigeng 子更 , Zhu 朱 Hongyan 虹燕 , Wang 王 Fan 帆 , Zhong 钟 Xiaolan 晓岚 
Published: November 2023

We would like to point out the misprinted Fig. 3 in our published paper [Chin. Phys. B 32, 114205 (2023)]. Since only orders of subfigures need to be corrected and the main results of the published paper are correct, we present the correct figure in this corrigendum.
Applying Hybrid Clustering in Pulsar Candidate Sifting with Multi-modality for FAST Survey
Authors: You Zi-Yi , Pan Yun-Rong , Ma Zhi , Zhang Li , Xiao Shuo , Zhang Dan-Dan , Dang Shi-Jun , Zhao Ru-Shuang , Wang Pei , Dong Ai-Jun , Jiang Jia-Tao , Leng Ji-Bing , Li Wei-An , Li Si-Yao 
Published: November 2023

Abstract
Pulsar search is always the basis of pulsar navigation, gravitational wave detection and other research topics. Currently, the volume of pulsar candidates collected by the Five-hundred-meter Aperture Spherical radio Telescope (FAST) shows an explosive growth rate that has brought challenges for its pulsar candidate filtering system. Particularly, the multi-view heterogeneous data and class imbalance between true pulsars and non-pulsar candidates have negative effects on traditional single-modal supervised classification methods. In this study, a multi-modal and semi-supervised learning based on a pulsar candidate sifting algorithm is presented, which adopts a hybrid ensemble clustering scheme of density-based and partition-based methods combined with a feature-level fusion strategy for input data and a data partition strategy for parallelization. Experiments on both High Time Resolution Universe Survey II (HTRU2) and actual FAST observation data demonstrate that the proposed algorithm could excellently identify pulsars: On HTRU2, the precision and recall rates of its parallel mode reach 0.981 and 0.988 respectively. On FAST data, those of its parallel mode reach 0.891 and 0.961, meanwhile, the running time also significantly decreases with the increment of parallel nodes within limits. Thus, we can conclude that our algorithm could be a feasible idea for large scale pulsar candidate sifting for FAST drift scan observation.
Application of machine learning in MOFs for gas adsorption and separation
Authors: Yang Chao , Qi Jingjing , Wang Anquan , Zha Jingyu , Liu Chao , Yao Shupeng 
Published: November 2023

Abstract
Metal–organic frameworks (MOFs) with high specific surface area, permanent porosity and extreme modifiability had great potential for gas storage and separation applications. Considering the theoretically nearly infinite variety of MOFs, it was difficult but necessary to achieve high-throughput computational screening (HTCS) of high-performance MOFs for specific applications. Machine learning (ML) was a field of computer science where one of its research directions was the effective use of information in a big data environment, focusing on obtaining hidden, valid and understandable knowledge from huge amounts of data, and had been widely used in materials research. This paper firstly briefly introduced the MOFs databases and related algorithms for ML, followed by a detailed review of the research progress on HTCS of MOFs based on ML according to four classes of descriptors, including geometrical, chemical, topological and energy-based, for gas storage and separation, and finally a related outlook was presented. This paper aimed to deepen readers’ understanding of ML-based MOF research, and to provide some inspirations and help for related research.
Characteristics of the SOL ion-to-electron temperature ratio on the J-TEXT tokamak with different plasma configurations
Authors: LI 李 Cunkai 存凯 , LIANG 梁 Yunfeng 云峰 , JIANG 江 Zhonghe 中和 , ZHOU 周 Song 松 , HUA 华 Jiankun 建坤 , YANG 阳 Jie 杰 , YANG 杨 Qinghu 庆虎 , KNIEPS Alexander , DREWS Philipp , XU 徐 Xin 鑫 , MAO 毛 Feiyue 飞越 , XIE 谢 Wei 伟 , YANG 杨 Yutong 雨桐 , GUO 郭 Jinlong 金龙 , LI 李 Yangbo 杨波 , REN 任 Zhengkang 正康 , CHEN 陈 Zhipeng 志鹏 , WANG 王 Nengchao 能超 , Team the J-TEXT 
Published: November 2023

Abstract
Accurate measurement of the average plasma parameters in the edge region, including the temperature and density of electrons and ions, is critical for understanding the characteristics of the scrape-off layer (SOL) and divertor plasma transport in magnetically confined fusion research. On the J-TEXT tokamak, a multi-channel retarding field analyzer (RFA) probe has been developed to study average plasma parameters in the edge region under various poloidal divertor and island divertor configurations. The edge radial profile of the ion-to-electron temperature ratio, τ
i/e, has been determined, which gradually decreases as the SOL ion self-collisionality,

, increases. This is broadly consistent with what has been observed previously from various tokamak experiments. However, the comparison of experimental results under different configurations shows that in the poloidal divertor configuration, even under the same

, τ
i/e in the SOL region becomes smaller as the distance from the X-point to the target plate increases. In the island divertor configuration, τ
i/e near the O-point is higher than that near the X-point at the same

, and both are higher than those in the limiter configuration. These results suggest that the magnetic configuration plays a critical role in the energy distributions between electrons and ions at the plasma boundary.
Preliminary electromagnetic analysis of the COOL blanket for CFETR
Authors: LU 鲁 Shuailing 帅领 , MA 马 Xuebin 学斌 , LIU 刘 Songlin 松林 
Published: November 2023

Abstract
The supercritical CO2 cOoled Lithium-Lead (COOL) blanket has been designed as one advanced blanket candidate for the Chinese Fusion Engineering Test Reactor (CFETR). This work focuses on the electromagnetic (EM) loads (Maxwell force and Lorentz force) acting on the COOL blanket, which are important mechanical loads in further structural analysis of the COOL blanket. A 3D electromagnetic analysis is performed using the ANSYS finite element method to obtain EM loads on the COOL blanket in this study. At first, the magnetic scalar potential (MSP) method is used to obtain the magnetic field and the Maxwell force on the COOL blanket. Then, the magnetic vector potential (MVP) method is performed during a plasma disruption event to get the eddy current distribution. At last, a multi-step method is adopted for the calculation of the Lorentz force and the torque. The maximum Lorentz forces of inboard and outboard blanket structural components are 5624 kN and 2360 kN respectively.
Highly reactive metakaolin: a multi-parameter optimization by response surface methodology
Authors: Hamisi Hashimu , Jande Yusufu Abeid Chande , Hilonga Askwar 
Published: November 2023

Abstract
Multi-parameter effect consideration during metakaolin conversion gives the best optimum processing conditions. Kaolin deposits have different properties, which makes it vital to establish optimum conditions for a distinctive kaolin deposit. The Response Surface Methodology under the Box-Behnken Design has been adopted in the current study to optimize the processing conditions for kaolin-to-metakaolin conversion. The temperature of 765 °C, the rate of 10 °C min−1, and 6.46 h of soaking were the optimum conditions for yielding the highly reactive (1382.15 mg Ca (OH)2/g) metakaolin. The kaolin sample’s distinctive reflections on two theta degrees at 14.32° and 29.03° proved that kaolinite was present. However, x-ray diffraction suggested that the optimized metakaolin was lacking those reflections. The Fourier-transformation infrared spectroscopy confirmed the presence of kaolinite in the sample with wave number range at the bands 3692, 3650, and 3620 cm−1, which disappeared to form a broad band in this region, which validates the formation of reactive amorphous metakaolin.
Design of a high gain antenna array for intelligent transportation system application
Authors: Hung Pham Viet , Nguyen Dai Duong , Le Minh Thuy , Nguyen Quoc Cuong 
Published: November 2023

Abstract
The design of a 1 × 9 linear asymmetrical printed dipole antenna array for intelligent transportation systems applications is proposed in this paper. The ground planes of two printed dipole antennas are connected together for miniaturization. The proposed antenna array obtained a large -10 dB reflection coefficient bandwidth, up to 17.6% at a center frequency of 5.8 GHz. It also acquired an efficiency of 87.5% at 5.8 GHz, with a gain of 10.16 dBi.
The mid-transition in the electricity sector: impacts of growing wind and solar electricity on generation costs and natural gas generation in Alberta
Authors: Pearson Kristina M E , Hastings-Simon Sara 
Published: November 2023

Abstract
In response to climate change, electricity grids are decreasing their carbon intensity with the addition of wind and solar variable renewable energy generation (VREN). This leads to a mid-transition period, where renewable energy is unable to satisfy electricity demand without contributions from other fossil sources such as natural gas, but also generates sufficiently to constrain conventional generation—changing their operating and market conditions. We use a simplified copper plate model, which scales up and down historical wind and solar generation, to examine how and when the patterns and generation costs for fossil fuel power could change by the increasing capacities of VREN on the relatively isolated Alberta electricity grid. We find that beginning at 20% VREN an increasingly diverse range and reduced hours of dispatched capacity is necessitated from the existing generation. However, even as capacity factors for fossil fuel generation decrease their costs remain reasonable and we found this to be a low-cost pathway for achieving moderate to deep emission reduction goals. A full 86% of demand could be met with VREN before generation costs exceeded 100$/MWh, allowing for an emissions reduction of 28.4–9 million tonnes yr−1 of CO2eq, on a lifecycle basis. In order to integrate the renewable generation, new and existing fossil fuel units will require market rules that incentivise flexibility and ensure they remain in place throughout the transitionary period as they are crucial to balance variable renewable generation.
Seeing the forest (plot) for the trees—the importance of evidence synthesis in older adult care
Authors: Shenkin Susan D , Quinn Terence J 
Published: November 2023

Abstract
Systematically reviewing all the available evidence and then creating summary analyses of the pooled data is the foundation of evidence-based practice. Indeed, this evidence synthesis approach informs much of the care of older adults in hospital and community. It is perhaps no surprise that the journal Age and Ageing is a frequent platform for publishing research papers based on systematic review and synthesis. This research has evolved substantially from the early days of evidence-based medicine and the Cochrane Collaboration. The traditional approach would be a quantitative summary, calculated using pair-wise meta-analysis of randomised controlled trials of drug versus placebo, or a synthesis of observational studies to create summaries of prevalence, associations and outcomes. Methods have evolved and newer techniques such as scoping reviews, test accuracy meta-analysis and qualitative synthesis are all now available. The sophistication of these methods is driven in part by the increasingly complex decisions that need be made in contemporary older adult care. Age and Ageing continues to champion established and novel evidence synthesis approaches, and in the accompanying Collection exemplars of these differing methods are presented and described. Whilst there is marked heterogeneity in the techniques used, the consistent and defining feature of all these papers is the desire to comprehensively, and critically summarise the evidence in order to answer the most pertinent questions regarding older adult care.
Non-stressful temperature changes affect transgenerational phenotypic plasticity across the life cycle of Arabidopsis thaliana plants
Authors: Authier Ailén , Cerdán Pablo , Auge Gabriela 
Published: November 2023

Abstract

Background and Aims
Plants respond in a plastic manner to seasonal changes, often resulting in adaptation to environmental variation. Although much is known about how seasonality regulates developmental transitions within generations, transgenerational effects of non-stressful environmental changes are only beginning to be unveiled. This study aimed to evaluate the effects of ambient temperature changes on the expression of transgenerational plasticity in key developmental traits of Arabidopsis thaliana plants.

Methods
We grew Columbia-0 plants in two contrasting temperature environments (18 and 24 °C) during their whole life cycles, or the combination of those temperatures before and after bolting (18–24 and 24–18 °C) across two generations. We recorded seed germination, flowering time and reproductive biomass production for the second generation, and seed size of the third generation.

Key Results
The environment during the whole life cycle of the first generation of plants, even that experienced before flowering, influenced the germination response and flowering time of the second generation. These effects showed opposing directions in a pattern dependent on the life stage experiencing the cue in the first generation. In contrast, the production of reproductive biomass depended on the immediate environment of the progeny generation. Finally, the seed area of the third generation was influenced positively by correlated environments across generations.

Conclusions
Our results suggest that non-stressful environmental changes affect the expression of key developmental traits across generations, although those changes can have contrasting effects depending on the parental and grandparental life stage that perceives the cue. Thus, transgenerational effects in response to non-stressful cues might influence the expression of life-history traits and potential adaptation of future generations.
Applications of genome-scale metabolic models to investigate microbial metabolic adaptations in response to genetic or environmental perturbations
Authors: Carter Elena Lucy , Constantinidou Chrystala , Alam Mohammad Tauqeer 
Published: November 2023

Abstract
Environmental perturbations are encountered by microorganisms regularly and will require metabolic adaptations to ensure an organism can survive in the newly presenting conditions. In order to study the mechanisms of metabolic adaptation in such conditions, various experimental and computational approaches have been used. Genome-scale metabolic models (GEMs) are one of the most powerful approaches to study metabolism, providing a platform to study the systems level adaptations of an organism to different environments which could otherwise be infeasible experimentally. In this review, we are describing the application of GEMs in understanding how microbes reprogram their metabolic system as a result of environmental variation. In particular, we provide the details of metabolic model reconstruction approaches, various algorithms and tools for model simulation, consequences of genetic perturbations, integration of ‘-omics’ datasets for creating context-specific models and their application in studying metabolic adaptation due to the change in environmental conditions.
Dopamine receptor D2 regulates genes involved in germ cell movement and sperm motility in rat testes
Authors: Raut Sanketa , Khambata Kushaan , Singh Dipty , Balasinor Nafisa H 
Published: November 2023

Abstract
The function of dopamine receptor D2 (D2R) is well associated with sperm motility; however, the physiological role of D2R present on testicular cells remains elusive. The aim of the present study is to delineate the function of testicular D2R. Serum dopamine levels were found to decrease with age, whereas testicular D2R expression increased. In rat testicular sections, D2R immunolabeling was observed in interstitial cells, spermatogonia, spermatocytes and mature elongated spermatids, whereas tyrosine hydroxylase immunolabeling was selectively detected in Leydig cells. In vitro seminiferous tubule culture following bromocriptine (D2R agonist) treatment resulted in decreased cAMP levels. Microarray identified 1077 differentially expressed genes (511 up-regulated, 566 down-regulated). The majority of differentially expressed genes were present in post-meiotic cells including early and late spermatids, and sperm. Gene ontology elucidated processes related to extra-cellular matrix to be enriched and was supported by differential expression of various collagens and laminins, thereby indicating a role of dopamine in extra-cellular matrix integrity and transport of spermatids across the seminiferous epithelium. Gene ontology and enrichment map also highlighted cell/sperm motility to be significantly enriched. Therefore, genes involved in sperm motility functions were further validated by RT-qPCR. Seven genes (Akap4, Ccnyl1, Iqcf1, Klc3, Prss55, Tbc1d21, Tl18) were significantly up-regulated, whereas four genes (Dnah1, Dnah5, Clxn, Fsip2) were significantly down-regulated by bromocriptine treatment. The bromocriptine-stimulated reduction in seminiferous tubule cyclic AMP and associated changes in spermatid gene expression suggests that dopamine regulates both spermatogenesis and spermiogenesis within the seminiferous epithelium, and spermatozoa motility following spermiation, as essential processes for fertility.