bluuebunny/crossref_metadata_2025_split huggingface dataset:
The promotion strategies of heat metering and charging in China’s heating region based on complex network evolutionary game model
Authors: Hu Wei , Yuan Hongwen , Chen Xi , Ding Qin 
Published: September 2023

Abstract
Heat metering and charging can help raise residents’ awareness of energy conservation and save heat consumption in buildings. The heat metering and charging in China, however, was promoted insignificantly. To explore the behavior mechanism of heat-supply enterprises implementing heat metering and charging under the background of complex network in China’s heating region, and put forward the promotion strategies of heat metering and charging, this paper uses the heat-supply enterprises as the sample, improves the utility function of heat-supply enterprises by considering their difference aversion preference and altruistic preference at the same time based on the Difference Averse Surplus Maximizer Model. Then, we establish a complex network evolutionary game model among different heat-supply enterprises, and an empirical analysis is conducted to examine the impact of different factor on heat-supply enterprises in China’s heating region to implement heat metering and charging. The conclusions are as follows: (1) With the current heating cost and income, even if the government subsidizes all environmental benefit generated by heat metering and charging to heat-supply enterprises, the heat metering and charging could not be promoted in different scales of networks. (2) Increasing metering heat price, government fine, environmental protection tax and carbon emission trading price have positive effects on the promotion of heat metering and charging in different scales of networks. (3) The value of metering heat price, government fine, environmental protection tax and carbon emission trading price have no significant impacts on the evolutionary speeds of different scales of networks.
Impact of the COVID-19 pandemic on community antibiotic consumption in the EU/European Economic Area: a changepoint analysis
Authors: Vermeulen Helene , Hens Niel , Catteau Lucy , Catry Boudewijn , Coenen Samuel 
Published: September 2023

Abstract

Objectives
A decrease in community antibiotic consumption in Europe has been observed during the COVID-19 pandemic. The magnitude of this decrease, how fast after the outbreak it occurred, whether it was sustained during the pandemic and whether the seasonal variation in antibiotic consumption was affected, have not yet been evaluated in detail.

Methods
Data on community antibiotic consumption were available from the European Surveillance of Antimicrobial Consumption Network for 28 EU/European Economic Area (EEA) countries between 2010 and 2021. Antibiotic consumption was expressed as DDDs per 1000 inhabitants per day (DID). The impact of the pandemic on antibiotic consumption was investigated using descriptive statistics and non-linear mixed changepoint models for quarterly and yearly data.

Results
The decrease in overall antibiotic consumption between 2019 and 2020 (−3.4 DID; −18.6%) was mainly due to a decrease in the consumption of penicillins [Anatomical Therapeutic Chemical (ATC) code J01C] (−1.9 DID; −23.0%), other β-lactam antibacterials (J01D) (−0.6 DID; −25.8%) and macrolides, lincosamides and streptogramins (J01F) (−0.5 DID; −17.4%) and was sustained during 2021. The changepoint analysis of yearly data (28 countries) estimated a decrease of 3.3 DID in overall antibiotic consumption (J01) between 2019 and 2020. The analysis of quarterly data (16 countries) estimated a decrease in overall antibiotic consumption (J01) of 4.0 DID and a decrease in seasonal variation of 1.2 DID between the first and second quarters of 2020.

Conclusions
The changepoint analysis indicated a significant, sudden and steep decrease in community antibiotic consumption in the EU/EEA immediately after the start of the COVID-19 outbreak in Europe, as well as a decrease in its seasonal variation.
A hydrophilic polyimidazolium antibiotic targeting the membranes of Gram-negative bacteria
Authors: Chen Yahua , Yong Melvin , Li Ming , Si Zhangyong , Koh Chong Hui , Lau Pearlyn , Chang Yi Wei , Teo Jeanette , Chan-Park Mary B , Gan Yunn-Hwen 
Published: September 2023

Abstract

Objectives
The rise of MDR Gram-negative bacteria (GNB), especially those resistant to last-resort drugs such as carbapenems and colistin, is a global health risk and calls for increased efforts to discover new antimicrobial compounds. We previously reported that polyimidazolium (PIM) compounds exhibited significant antimicrobial activity and minimal mammalian cytotoxicity. However, their mechanism of action is relatively unknown. We examined the efficacy and mechanism of action of a hydrophilic PIM (PIM5) against colistin- and meropenem-resistant clinical isolates.

Methods
MIC and time–kill testing was performed for drug-resistant Escherichia coli and Klebsiella pneumoniae clinical isolates. N-phenyl-1-naphthylamine and propidium iodide dyes were employed to determine membrane permeabilization. Spontaneous resistant mutants and single deletion mutants were generated to understand potential resistance mechanisms to the drug.

Results
PIM5 had the same effectiveness against colistin- and meropenem-resistant strains as susceptible strains of GNB. PIM5 exhibited a rapid bactericidal effect independent of bacterial growth phase and was especially effective in water. The polymer disrupts both the outer and cytoplasmic membranes. PIM5 binds and intercalates into bacterial genomic DNA upon entry of cells. GNB do not develop high resistance to PIM5. However, the susceptibility and uptake of the polymer is moderately affected by mutations in the two-component histidine kinase sensor BaeS. PIM5 has negligible cytotoxicity on human cells at bacterial-killing concentrations, comparable to the commercial antibiotics polymyxin B and colistin.

Conclusions
PIM5 is a potent broad-spectrum antibiotic targeting GNB resistant to last-resort antibiotics.
Effects of farmland abandonment on anthropogenic-alluvial soil microbiota and contaminant residues in Lycium barbarum fields
Authors: Zhang Junhua , He Mengyuan , Jia Keli , Shen Cong 
Published: September 2023

Abstract

Aims
There has been an increasing tendency to abandon crop cultivation and farming in old Lycium barbarum (wolfberry) stands to allow for natural restoration. However, little research has been dedicated to deciphering how soil quality changes in L. barbarum fields following abandonment from a physicochemical and microbiological perspective. Here we assessed the effects of farmland abandonment on anthropogenic-alluvial soil microbiota and contaminant residues in L. barbarum fields in Ningxia, China.

Methods and results
Soil microbiota, heavy metal, and neonicotinoid pesticide profiles in L. barbarum fields abandoned for one to four years were characterized. Microbial community analysis was performed by high-throughput sequencing of the bacterial 16S ribosomal RNA genes and the fungal nuclear ribosomal internal transcribed spacer region. Soil bacterial diversity increased from before abandonment to year three after abandonment, and fungal diversity peaked in year one after abandonment. Enrichment of potentially beneficial taxa (e.g. Limnobacter, Cavicella) as well as pathogenic taxa (e.g. Ilyonectria) was observed in the abandoned field soils, along with depletion of other taxa (e.g. Planococcus, Bipolaris). Soil copper, zinc, cadmium, imidacloprid, and acetamiprid concentrations all decreased with increasing time since abandonment and had varied correlations with soil quality, microbial diversity, and the relative abundances of major phyla. Soil available phosphorus, nitrate-nitrogen, and pH were the key factors shaping bacterial communities. The structuring of fungal communities was strongly influenced by soil pH, available phosphorus, and available nitrogen contents.

Conclusions
There were positive consequences of farmland abandonment in L. barbarum fields, such as optimized microbial community structure, reduced heavy metal accumulation, and enhanced pesticide degradation.
The participation of vacuoles and the regulation of various metabolic pathways under acid stress promote the differentiation of chlamydospore inTrichoderma harzianumT4
Authors: Zhu Xiaochong , Wang Yaping , Shen Chao , Zhang Songhan , Wang Wei 
Published: September 2023

AbstractAimsChlamydospores are a special, differentiated type with high environmental resistance. Consequently, the chlamydospores of Trichoderma harzianum T4 can used to industrialize the latter. This study aimed to investigate the key factors affecting the sporulation type of T. harzianum T4 and the mechanisms underlying this effect.Methods and resultsIn the liquid fermentation of T. harzianum T4, ammonium sulfate (AS) inhibited conidia formation and chlamydospore production. Fermentation tests revealed that acid stress induced sporulation type alteration. Transcriptomic analysis was used to evaluate the adaptation strategy and mechanism underlying spore type alteration under acid stress. The fermentation experiments involving the addition of amino acids revealed that branched-chain amino acids benefited conidia production, whereas β-alanine benefited chlamydospore production. Confocal microscope fluorescence imaging and chloroquine intervention demonstrated that vacuole function was closely related to chlamydospore production.ConclusionThe sporulation type of T. harzianum T4 can be controlled by adjusting the fermentation pH. T. harzianum T4 cells employ various self-protection measures against strong acid stress, including regulating their metabolism to produce a large number of chlamydospores for survival.
A 2-component blend of coconut oil-derived fatty acids as an oviposition deterrent against Drosophila suzukii (Drosophilidae: Diptera)
Authors: Roh Gwang Hyun , Meier Linnea , Shrestha Binita , Hesler Stephen P , Zhu Junwei J , Kendra Paul E , Loeb Gregory M , Tay Jia-Wei , Cha Dong H 
Published: September 2023

Abstract
Coconut free fatty acid (CFFA), a mixture of 8 fatty acids derived from coconut oil, is an effective repellent and deterrent against a broad array of hematophagous insects. In this study, we evaluated the oviposition deterrent activity of CFFA on spotted-wing drosophila (SWD; Drosophila suzukii), a destructive invasive pest of berries and cherries, and identified bioactive key-deterrent compounds. In laboratory 2-choice tests, CFFA deterred SWD oviposition in a dose-dependent manner with the greatest reduction (99%) observed at a 20-mg dose compared with solvent control. In a field test, raspberries treated with 20-mg CFFA received 64% fewer SWD eggs than raspberries treated with the solvent control. In subsequent laboratory bioassays, 2 of CFFA components, caprylic and capric acids, significantly reduced SWD oviposition by themselves, while 6 other components had no effect. In choice and no-choice assays, we found that a blend of caprylic acid and capric acid, at equivalent concentrations and ratio as in CFFA, was as effective as CFFA, while caprylic acid or capric acid individually were not as effective as the 2-component blend or CFFA at equivalent concentrations, indicating the 2 compounds as the key oviposition deterrent components for SWD. The blend was also as effective as CFFA for other nontarget drosophilid species in the field. Given that CFFA compounds are generally regarded as safe for humans, CFFA and its bioactive components have potential application in sustainably reducing SWD damage in commercial fruit operations, thereby reducing the sole reliance on insecticides.
The ‘Fair Share’ of Climate Mitigation: Can Litigation Increase National Ambition for Brazil?
Authors: Tigre Maria Antonia 
Published: September 2023

AbstractSeveral years after the adoption of the Paris Agreement, the world is still far from achieving its emission reduction target. Despite the scientific certainty of the devastating effects of climate change on human rights, countries’ ‘nationally determined contributions’ (NDCs) still fall short of the 1.5 °C goal. Compared to developed countries and their historical contributions, the Global South’s role in climate mitigation may appear insignificant. However, the magnitude of the human rights effects of climate change are enormous. Any increase above 1.5 °C would endanger human well-being and the ecosystems on which human life depends. Therefore, all parties must cooperate to adopt more ambitious NDCs. This imperative—while falling mainly on the Global North, which holds significant historical responsibility for emissions—also extends beyond the Global North, to, for example, a country like Brazil. This article assesses how fair share has played a role in climate litigation cases in the Global North (primarily in Europe) and discusses the possibilities and challenges of bringing similar cases in Brazil. It relies on the fair share methodology used to substantiate the argument of increased ambition in cases in the Global North, discussing whether a similar argument could be brought in Brazil.
The fixed points of belief and knowledge
Authors: Schuster Daniela 
Published: September 2023

Abstract
Self-referential sentences have troubled our understanding of language for centuries. The most famous self-referential sentence is probably the Liar, a sentence that says of itself that it is false. The Liar Paradox has encouraged many philosophers to establish theories of truth that manage to give a proper account of the truth predicate in a formal language. Kripke’s Fixed Point Theory from 1975 is one famous example of such a formal theory of truth that aims at giving a plausible notion of truth by allowing truth value gaps. However, not only the concept of truth gives rise to paradoxes. A syntactical treatment of epistemic notions like belief and knowledge leads to contradictions that very much resemble the Liar Paradox. Therefore, it seems to be fruitful to apply the established theories of truth to epistemic concepts. In this paper, I will present one such attempt of solving the epistemic paradoxes: I adapt Kripke’s Fixed Point Theory and interpret truth, knowledge and belief within the framework of a partial logic. Thereby I find not only the fixed point of truth but also the fixed points of knowledge and belief. In this fixed point, the predicates of truth, belief and knowledge find their definite interpretation and the paradoxes are avoided.
Perkinsus marinus in bioreactor: growth and a cost-reduced growth medium
Authors: Murphy Caitlin , Fernández Robledo José A , van Walsum G Peter 
Published: September 2023

Abstract

Perkinsus marinus (Perkinsea) is an osmotrophic facultative intracellular marine protozoan responsible for “Dermo” disease in the eastern oyster, Crassostrea virginica. In 1993 in vitro culture of P. marinus was developed in the absence of host cells. Compared to most intracellular protozoan parasites, the availability of P. marinus to grow in the absence of host cells has provided the basis to explore its use as a heterologous expression system. As the genetic toolbox is becoming available, there is also the need for larger-scale cultivation and lower-cost media formulations. Here, we took an industrial approach to scaled-up growth from a small culture flask to bioreactors, which required developing new cultivation parameters, including aeration, mixing, pH, temperature control, and media formulation. Our approach also enabled more real-time data collection on growth. The bioreactor cultivation method showed similar or accelerated growth rates of P. marinus compared to culture in T-flasks. Redox measurements indicated sufficient oxygen availability throughout the cultivation. Replacing fetal bovine serum with chicken serum showed no differences in the growth rate and a 60% reduction in the medium cost. This study opens the door to furthering P. marinus as a valid heterologous expression system by showing the ability to grow in bioreactors.

One-Sentence Summary
Perkinsus marinus, a microbial parasite of oysters that could be useful for developing vaccines for humans, has been shown to grow well in laboratory equipment that can be expanded to commercial scale using a less expensive growth formula than usual laboratory practice.
High-resolution global precipitation downscaling with latent Gaussian models and non-stationary stochastic partial differential equation structure
Authors: Zhang Jiachen , Bonas Matthew , Bolster Diogo , Fuglstad Geir-Arne , Castruccio Stefano 
Published: September 2023

Abstract
Obtaining high-resolution maps of precipitation data can provide key insights to stakeholders to assess a sustainable access to water resources at urban scale. Mapping a non-stationary, sparse process such as precipitation at very high spatial resolution requires the interpolation of global datasets at the location where ground stations are available with statistical models able to capture complex non-Gaussian global space–time dependence structures. In this work, we propose a new approach based on capturing the spatially varying anisotropy of a latent Gaussian process via a locally deformed stochastic partial differential equation (SPDE) with a buffer allowing for a different spatial structure across land and sea. The finite volume approximation of the SPDE, coupled with integrated nested Laplace approximation ensures feasible Bayesian inference for tens of millions of observations. The simulation studies showcase the improved predictability of the proposed approach against stationary and no-buffer alternatives. The proposed approach is then used to yield high-resolution simulations of daily precipitation across the United States.
Enhancing surgical planning of distal splenopancreatectomy through 3D printed models: a case report
Authors: Arsenkov Stefan , Plavevski Ognen , Nikolovski Andrej , Arsenkov Ljuben , Shurlani Arben , Saliu Valon 
Published: September 2023

Abstract
The complex anatomy of the peripancreatic region was a challenge to many surgeons in the past. Up until recently, the only way to prepare and plan a surgery was through the use of traditional 2D images, obtained via computed tomography or magnetic resonance imaging. Recently, the advantages in the field of 3D printing (also called additive manufacturing, or rapid prototyping) allowed the creation of replicas of the patient’s anatomy which is to be used for preoperative planning and visual reference. We present the case of a 46-y.o. patient with a distal pancreatic lesion requiring a distal splenopancreatectomy, who benefited from the use of 3D printing technology. No intraoperative or postoperative complications were encountered, while the created model was used to plan and perform the needed resection.
Automatic and Quantitative Measurement of Spectrometer Aberrations
Authors: Guo Yueming , Lupini Andrew R 
Published: September 2023

Abstract
The performance of electron energy loss spectrometers can often be limited by their electron optical aberrations. Due to recent developments in high energy resolution and momentum-resolved electron energy loss spectroscopy (EELS), there is renewed interest in optimizing the performance of such spectrometers. For example, the “ω − q” mode of momentum-resolved EELS, which uses a small convergence angle and requires aligning diffraction spots with the slot aperture, presents a challenge in the realignments of the spectrometer required by the adjustment of the projection lenses. Automated and robust alignment can greatly benefit such a process. The first step toward this goal is automatic and quantitative measurement of spectrometer aberrations. We demonstrate the measurement of geometric aberrations and distortions in EELS within a monochromated scanning transmission electron microscope (STEM). To better understand the results, we present a wave mechanical simulation of the experiment. Using the measured aberration and distortion coefficients as inputs to the simulation, we find a good match between the simulation and experiment, verifying formulae used in the simulation. From verified simulations with known aberration coefficients, we can assess the accuracy of measurements. Understanding the errors and inaccuracies in the procedure can guide further progress in aberration measurement and correction for new spectrometer developments.
Ground-based calibration and characterization of LaBr3-SiPM-based gamma-ray detector on GECAM satellite: 8–160 keV
Authors: He Jian-Jian , An Zheng-Hua , Peng Wen-Xi , Li Xin-Qiao , Xiong Shao-Lin , Zhang Da-Li , Qiao Rui , Guo Dong-Ya , Cai Ce , Chang Zhi , Chen Can , Chen Gang , Du Yuan-Yuan , Gao Min , Gao Rui , Gong Ke , Hou Dong-Jie , Li Chao-Yang , Li Gang , Li Lu , Li Mao-Shun , Li Xiao-Bo , Li Xu-Fang , Li Yan-Guo , Liang Xiao-Hua , Liu Jia-Cong , Liu Xiao-Jing , Liu Ya-Qing , Lu Hong , Ma Xiang , Meng Bin , Shi Feng , Song Li-Ming , Sun Xi-Lei , Wang Chen-Wei , Wang Hui , Wang Hui-Zhen , Wang Jin-Zhou , Wang Yu-Sa , Wen Xing , Wen Xiang-Yang , Xiao Shuo , Xu Yan-Bing , Xu Yu-Peng , Xue Wang-Chen , Yang Jia-Wei , Yang Sheng , Yi Qi-Bin , Zhang Cheng-Mo , Zhang Chao-Yue , Zhang Fan , Zhang Fei , Zhang Peng , Zhang Shuang-Nan , Zhang Yan-Qiu , Zhao Xiao-Yun , Zhao Yi , Zheng Chao , Zheng Shi-Jie , Zhou Xing , Zhu Yue 
Published: September 2023

ABSTRACT
As the main detector of the Gravitational wave high-energy Electromagnetic Counterpart All-sky Monitor mission (GECAM), the calibration of the energy response and detection efficiency of the gamma-ray detector (GRD) is the main content of the ground-based calibration. This article mainly focuses on the calibration of the energy response and detection efficiency in the 8–160 keV with a refined measurement around the absorption edges of the lanthanum bromide crystal ($\rm {LaBr_3}$). The GRD performances for different crystal types, data acquisition modes, working modes, and incident positions are also analysed in detail. We show that the calibration campaign is comprehensive, the detector performance meets the flight requirements, and the calibration results generally agree with simulations as expected. The detector’s model was corrected by the ground-based calibration, which led to the establishment of the calibration data base.
Painting baryons on to N-body simulations of galaxy clusters with image-to-image deep learning
Authors: Chadayammuri Urmila , Ntampaka Michelle , ZuHone John , Bogdán Ákos , Kraft Ralph P 
Published: September 2023

ABSTRACT
Galaxy cluster mass functions are a function of cosmology, but mass is not a direct observable, and systematic errors abound in all its observable proxies. Mass-free inference can bypass this challenge, but it requires large suites of simulations spanning a range of cosmologies and models for directly observable quantities. In this work, we devise a U-net – an image-to-image machine learning algorithm – to ‘paint’ the illustristng model of baryons on to dark matter-only (DMO) simulations of galaxy clusters. Using 761 galaxy clusters with M200c ≳ 1014 M⊙ from the TNG300 simulation at z &lt; 1, we train the algorithm to read in maps of projected dark matter mass and output maps of projected gas density, temperature, and X-ray flux. Despite being trained on individual images, the model reproduces the true scaling relation and scatter for the MDM–LX, as well as the distribution functions of the cluster X-ray luminosity and gas mass. For just one decade in cluster mass, the model reproduces three orders of magnitude in LX. The model is biased slightly high when using dark matter maps from the DMO simulation. The model performs well on inputs from TNG300-2, whose mass resolution is eight times coarser; further degrading the resolution biases the predicted luminosity function high. We conclude that U-net-based baryon painting is a promising technique to build large simulated cluster catalogues, which can be used to improve cluster cosmology by combining existing full-physics and large N-body simulations.