bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transcriptome Profiling of Hippocampus After Cerebral Hypoperfusion in Mice
Authors: Zhang Zengyu , Guo Zimin , Jin Pengpeng , Yang Hualan , Hu Mengting , Zhang Yuan , Tu Zhilan , Hou Shuangxing 
Published: June 2023

AbstractChronic cerebral hypoperfusion (CCH) is considered to be one of the major mechanism in the pathogenesis of vascular cognitive impairment (VCI). Increased inflammatory cells, particularly microglia, often parallel hypoperfusion-induced gray matter damage such as hippocampal lesions, but the exact mechanism remains largely unknown. To understand the pathological mechanisms, we analyzed hippocampus-specific transcriptome profiles after cerebral hypoperfusion. The mouse hypoperfusion model was induced by employing the 0.16/0.18 mm bilateral common carotid artery stenosis (BCAS) procedure. Cerebral blood flow (CBF) was assessed after 3-week hypoperfusion. Pathological changes were evaluated via hematoxylin staining and immunofluorescence staining. RNA-sequencing (RNA-seq) was performed using RNA samples of sham- or BCAS-operated mice, followed by quantitative real-time PCR (qRT-PCR) validation. We found that the 0.16/0.18 mm BCAS induced decreased CBF, hippocampal neuronal loss, and microglial activation. Furthermore, GSEA between sham and BCAS mice showed activation of interferon-beta signaling along with inflammatory immune responses. In addition, integrative analysis with published single-cell RNA-seq revealed that up-regulated differentially expressed genes (DEGs) were enriched in a distinct cell type of “microglia,” and down-regulated DEGs were enriched in “CA1 pyramidal,” not in “interneurons” or “S1 pyramidal.” This database of transcriptomic profiles of BCAS-hypoperfusion will be useful for future studies to explore potential targets for vascular cognitive dysfunction.
Are visits of Dutch energy coach volunteers associated with a reduction in gas and electricity consumption?
Authors: Schneider Philipp T. , van de Rijt Arnout , Boele Charlotte , Buskens Vincent 
Published: June 2023

Abstract
In a number of European countries, local municipalities, housing cooperatives, and citizen-based initiatives have been training energy coaches to help citizens improve the sustainability of their homes. These local volunteers offer an analysis of a citizen’s home to advise on how to make it more sustainable, comparing citizens’ consumption patterns with similar others’. While energy coaches are widely employed, evidence on the effectiveness of energy coaches and their approach is lacking. We collaborated with a housing cooperation that trains and provides tools for energy coaches in the Netherlands, comparing the electricity and gas consumption of households before the visit of a local energy coach and their consumption 1 year later. Our results suggest that the visit of an energy coach was associated with a reduction in energy consumption, but only for those who were told by the energy coach that they were consuming more energy than comparable others.
Geometry and convergence of natural policy gradient methods
Authors: Müller Johannes , Montúfar Guido 
Published: June 2023

AbstractWe study the convergence of several natural policy gradient (NPG) methods in infinite-horizon discounted Markov decision processes with regular policy parametrizations. For a variety of NPGs and reward functions we show that the trajectories in state-action space are solutions of gradient flows with respect to Hessian geometries, based on which we obtain global convergence guarantees and convergence rates. In particular, we show linear convergence for unregularized and regularized NPG flows with the metrics proposed by Kakade and Morimura and co-authors by observing that these arise from the Hessian geometries of conditional entropy and entropy respectively. Further, we obtain sublinear convergence rates for Hessian geometries arising from other convex functions like log-barriers. Finally, we interpret the discrete-time NPG methods with regularized rewards as inexact Newton methods if the NPG is defined with respect to the Hessian geometry of the regularizer. This yields local quadratic convergence rates of these methods for step size equal to the inverse penalization strength.
Optimal projection filters with information geometry
Authors: Armstrong John , Brigo Damiano , Hanzon Bernard 
Published: June 2023

AbstractWe review the introduction of several types of projection filters. Projection structures coming from information geometry are used to obtain a finite dimensional filter in the form of a stochastic differential equation (SDE), starting from the exact infinite-dimensional stochastic partial differential equation (SPDE) for the optimal filter. We start with the Stratonovich projection filters based on the Hellinger distance as introduced and developed in Brigo et al. (IEEE Trans Autom Control 43(2):247–252, 1998, Bernoulli 5(3):495–534, 1999), where the SPDE is put in Stratonovich form before projection, hence the term “Stratonovich projection”. The correction step of the filtering algorithm can be made exact by choosing a suitable exponential family as manifold, there is equivalence with assumed density filters and numerical examples have been studied. Other authors further developed these projection filters and we present a brief literature review. A second type of Stratonovich projection filters was introduced in Armstrong and Brigo (Math Control Signals Syst 28(1):1–33, 2016) where a direct $$L^2$$

L
2

metric is used for projection. Projecting on mixtures of densities as a manifold coincides with Galerkin methods. All the above projection filters lack optimality, as the single vector fields of the Stratonovich SPDE are projected optimally but the SPDE solution as a whole is not approximated optimally by the projected SDE solution according to a clear criterion. This led to the optimal projection filters in Armstrong et al. (Proc Lond Math Soc 119(1):176–213, 2019, Projection of SDEs onto submanifolds. “Information Geometry”, 2023 special issue on half a century of information geometry, 2018), based on the Ito vector and Ito jet projections, where several types of mean square distances between the optimal filter SPDE solution and the sought finite dimensional SDE approximations are minimized, with numerical examples. After reviewing the above developments, we conclude with the remaining challenges.
Data Preparation: A Technological Perspective and Review
Authors: Fernandes Alvaro A. A. , Koehler Martin , Konstantinou Nikolaos , Pankin Pavel , Paton Norman W. , Sakellariou Rizos 
Published: June 2023

AbstractData analysis often uses data sets that were collected for different purposes. Indeed, new insights are often obtained by combining data sets that were produced independently of each other, for example by combining data from outside an organization with internal data resources. As a result, there is a need to discover, clean, integrate and restructure data into a form that is suitable for an intended analysis. Data preparation, also known as data wrangling, is the process by which data are transformed from its existing representation into a form that is suitable for analysis. In this paper, we review the state-of-the-art in data preparation, by: (i) describing functionalities that are central to data preparation pipelines, specifically profiling, matching, mapping, format transformation and data repair; and (ii) presenting how these capabilities surface in different approaches to data preparation, that involve programming, writing workflows, interacting with individual data sets as tables, and automating aspects of the process. These functionalities and approaches are illustrated with reference to a running example that combines open government data with web extracted real estate data.
An Epidemiological Analysis of Terrorist Attacks in the Nordic and Baltic Countries from 1970 through 2020
Authors: De Cauwer Harald , Granholm Fredrik , Khorram-Manesh Amir , Barten Dennis G. , Tin Derrick , Mortelmans Luc J. , Somville Francis , Ciottone Gregory R. 
Published: June 2023

AbstractBackground:Russia’s annexation of Crimea in 2014, and the recent Russo-Ukrainian war that started in 2022, were triggers that radically changed the perception of security in the Nordic and Baltic countries. The on-going Russian hybrid war has resulted in a renewed global interest in the safety and security of many countries (eg, the Nordic-Baltic Eight). The prospective North Atlantic Treaty Organization (NATO) membership of Finland and Sweden may drastically change the regional military and political landscape.The objective of this study was to identify and characterize all documented terrorist attacks in this region as reported to the Global Terrorism Database (GTD) from 1970 through 2020.Methods:The GTD was searched using the internal database functions for all terrorism incidents in the Nordic-Baltic states: Denmark, Estonia, Finland, Iceland, Latvia, Lithuania, Norway, and Sweden.Temporal factors, location, target type, attack and weapon type, perpetrator type, number of casualties, and property value loss were collated. Results were exported into an Excel spreadsheet for analysis.Results:There were 298 terrorism-related incidents from 1970 through 2020. Most attacks occurred in Sweden, followed by Norway and Finland. No entries were recorded for the Baltic states prior to their independency in 1991. The 298 incidents resulted in a total of 113 fatalities and 277 injuries.Facility/infrastructure attacks were the most frequently identified attack type (35.0%), followed by bombings and explosions (30.9%). Armed assaults were responsible for 80 fatalities and 105 injuries, followed by bombings/explosions with 15 fatalities and 72 injuries. The predominant target types were immigrants and refugee shelters (64/298 incidents). In only 33.6% of the incidents, perpetrators were known. Right-wing assailants represented the largest group, accounting for 27 incidents.Conclusion:From 1970 through 2020, there were 298 terrorist attacks in the Nordic-Baltic Eight. Sweden accounted for 50% of incidents.The profile of terrorist attacks was very diverse, as were the perpetrators and targets. Every country had its own incident characteristics. The surge of right-wing extremism must be closely monitored.
EQUILIBRIUM STATES FOR CENTER ISOMETRIES
Authors: Carrasco Pablo D. , Rodriguez-Hertz Federico 
Published: June 2023

AbstractWe develop a geometric method to establish the existence and uniqueness of equilibrium states associated to some Hölder potentials for center isometries (as are regular elements of Anosov actions), in particular, the entropy maximizing measure and the SRB measure. A characterization of equilibrium states in terms of their disintegrations along stable and unstable foliations is also given. Finally, we show that the resulting system is isomorphic to a Bernoulli scheme.
Efficacy of herbicides for selective control of an invasive liana, old man’s beard (Clematis vitalba)
Authors: Jarvis-Lowry Brenda , Harrington Kerry C. , Ghanizadeh Hossein , Robertson Alastair W. 
Published: June 2023

AbstractOld man’s beard is a woody liana that has become an invasive weed in many areas of its introduction, through its vigorous spread and negative impacts on the tree hosts it climbs. Control techniques that improve precision and reduce non-target damage are increasingly preferred for weed control yet have not been compared in published research for use against old man’s beard. Field experiments in New Zealand were conducted to: (i) assess targeted herbicide techniques for control of this weed’s climbing stems when growing among trees and (ii) assess foliar herbicides for control of creeping stems in ruderal sites. For climbing stems, triclopyr in oil was applied around the circumference of woody stems near their base, which was compared with cutting the stems and applying concentrated glyphosate gel (45% ai) to each cut end. Herbicides were applied in autumn directly to individual stem bases of the weed, thereby protecting tree hosts and other non-target vegetation. The basal application of triclopyr to intact stems was highly effective (>95% mortality) with no damage to nearby trees noted. The glyphosate gel applications to cut stems were less effective (56% mortality by 2 yr after treatment). For creeping stems in grass-dominated ruderal sites, selective foliar herbicide sprays had not been previously juxtaposed to compare control of old man’s beard. Three selective sprays that do not damage existing grass cover were applied in autumn at their recommended rates: (i) metsulfuron; (ii) triclopyr; and (iii) a mixture of triclopyr, picloram, and aminopyralid. All herbicide treatments provided effective control, although metsulfuron had a negative effect on grass vigor, which might allow new establishment of old man’s beard seedlings by competitive release. These results provide effective options that reduce non-target damage for control of both climbing and creeping old man’s beard stems.
Ground‐Validation and Error Attribution of Near‐Surface Air Temperature From AIRS in North America
Authors: Gao Shang , Wen Yixin , Fishbein Evan , Lambrigtsen Bjorn , Zhang Jiaqi , Van Dang H. , Galli Chris 
Published: June 2023

AbstractAccurate estimation of near‐surface air temperature (TsurfAir) at fine spatiotemporal resolution is crucial for environmental applications, data assimilation into land surface models, and climate change studies. The Atmospheric Infrared Sounder (AIRS) on board the Aqua satellite measures TsurfAir twice a day at the global scale. In this study, the AIRS TsurfAir is validated using ground‐based weather stations in North America. Owing to the high density of weather stations, spatial heterogeneity (<1°) of TsurfAir is modeled using semi‐variograms and further used to calculate the validation reference via ordinary kriging at AIRS retrieval footprints. This analysis intends to reveal error characteristics in cold and hot seasons by selecting six months of data in January and July of three years, along with a case study on two extreme events. Furthermore, MODIS‐enabled land surface temperature and land cover are used to attribute the observed error in TsurfAir. Results show an overall warm bias of 0.11 K from AIRS TsurfAir and conditional bias over‐ and underestimating cold and hot temperatures, respectively. Spatial heterogeneity of TsurfAir is found to influence the variance of AIRS TsurfAir error. As a possible source of TsurfAir error, land surface temperatures (Tskin) from AIRS and MODIS are compared. Close match between the two Tskin products indicates a lesser influence of the Tskin difference on TsurfAir error. Overall, the ground validation of AIRS TsurfAir along with the error attribution can facilitate post‐processing of AIRS products and uncertainty analysis for the wide range of applications of AIRS TsurfAir.
The Sensitivity of Belowground Ecosystem to Long‐Term Increased Nitrogen Deposition in a Temperate Grassland: Root Productivity, Microbial Biomass, and Biodiversity
Authors: Cao Jirong , Pang Shuang , Wang Qibing , Williams Mark A. , Jia Xiu , Dun Shasha , Wang Jing , Yang Junjie , Zhang Yunhai , Ruan Weibin , Hu Yecui , Li Linghao , Li Yuncong , Han Xingguo 
Published: June 2023

AbstractStudies exploring ecosystem vulnerability to nitrogen (N) enrichment have mostly focused on aboveground components of ecosystems. However, the sensitivity of the belowground ecosystem to increasing N deposition remains unclear. We estimated responses of belowground net primary productivity (BNPP), soil microbial biomass N (MBN), N mineralization, nitrification, and 16S rRNA gene based bacterial diversity to elevated N inputs. The study was based on a long‐term N deposition experiment with monthly N applications at nine rates ranging from 0 to 50 g N m−2 yr−1 in a temperate grassland. BNPP, MBN, and microbial diversity showed non‐linearities across the N gradient. In both post‐hoc test and regression tree model, the significant decrease of BNPP relative to the control started at the 10 g N m−2 yr−1 rate (the 53% decrease), whereas in Bayesian regression model, the decrease started at the 5 g N m−2 yr−1 rate (the 39% decrease) in year 6. We therefore estimated a critical load range of 5–10 g N m−2 yr−1 for BNPP. Regression tree model, Bayesian regression, and post‐hoc test consistently suggested that the detrimental effects on MBN might occur above ∼10 g N m−2 yr−1 addition rate. Bacterial diversity and the relative abundance of dominant phyla declined when N addition rate exceeded 5 or 10 g N m−2 yr−1. The impacts of N deposition on the root‐microbe system strongly depended on the interannual fluctuation in precipitation. The responses of the sensitive belowground indicators are vital to help minimize the detrimental impacts of anthropogenic N inputs.
550‐Year Climate Periodicity in the Yunnan‐Guizhou Plateau During the Late Mid‐Holocene: Insights and Implications
Authors: Li Youwei , Fleitmann Dominik , Wang Xiangli , Pérez‐Mejías Carlos , Sha Lijuan , Dong Xiyu , Wang Deyuan , Zhang Rui , Qu Xiaoli , Cheng Hai 
Published: June 2023

AbstractSignificant multi‐centennial climate oscillations have been documented in a number of well‐dated climate records across the Holocene epoch and left various imprints in human cultural history. In this study, we developed speleothem δ13C, δ18O, trace elements, and lamina thickness records from the Yunnan‐Guizhou Plateau (YGP). Our high‐resolution and precisely dated records show a significant ∼550‐yr cycle as the dominant pattern of regional temperature and vegetation variations between ∼5,870 and ∼3,670 years ago. The phase analyses of the 550‐yr cycles among our speleothem records, other Northern Hemisphere climate records, solar activity index, and Atlantic meridional overturning circulation (AMOC) variations suggest that this climate cycle has a large spatial extent, and may be causally linked to the AMOC changes through coupled oceanic‐atmospheric processes. Additionally, the first cold phase of the ∼550‐yr cycle in our records coincides with the major cultural development on the YGP at ∼5,500–5,000 years ago, suggesting a critical relationship between climate and prehistorical cultural changes in the region.
Does modulation of tau hyperphosphorylation represent a reasonable therapeutic strategy for Alzheimer’s disease? From preclinical studies to the clinical trials
Authors: Basheer Neha , Smolek Tomáš , Hassan Imtaiyaz , Liu Fei , Iqbal Khalid , Zilka Norbert , Novak Petr 
Published: June 2023

AbstractProtein kinases (PKs) have emerged as one of the most intensively investigated drug targets in current pharmacological research, with indications ranging from oncology to neurodegeneration. Tau protein hyperphosphorylation was the first pathological post-translational modification of tau protein described in Alzheimer’s disease (AD), highlighting the role of PKs in neurodegeneration. The therapeutic potential of protein kinase inhibitors (PKIs)) and protein phosphatase 2 A (PP2A) activators in AD has recently been explored in several preclinical and clinical studies with variable outcomes. Where a number of preclinical studies demonstrate a visible reduction in the levels of phospho-tau in transgenic tauopathy models, no reduction in neurofibrillary lesions is observed. Amongst the few PKIs and PP2A activators that progressed to clinical trials, most failed on the efficacy front, with only a few still unconfirmed and potential positive trends. This suggests that robust preclinical and clinical data is needed to unequivocally evaluate their efficacy. To this end, we take a systematic look at the results of preclinical and clinical studies of PKIs and PP2A activators, and the evidence they provide regarding the utility of this approach to evaluate the potential of targeting tau hyperphosphorylation as a disease modifying therapy.
Diagnostic spirometry in COPD is increasing, a comparison of two Swedish cohorts
Authors: Athlin Åsa , Lisspers Karin , Hasselgren Mikael , Ställberg Björn , Janson Christer , Montgomery Scott , Giezeman Maaike , Kisiel Marta , Nager Anna , Sandelowsky Hanna , Arne Mats , Sundh Josefin 
Published: June 2023

AbstractSpirometry should be used to confirm a diagnosis of chronic obstructive pulmonary disease (COPD). This test is not always performed, leading to possible misdiagnosis. We investigated whether the proportion of patients with diagnostic spirometry has increased over time as well as factors associated with omitted or incorrectly interpreted spirometry. Data from medical reviews and a questionnaire from primary and secondary care patients with a doctors’ diagnosis of COPD between 2004 and 2010 were collected. Data were compared with a COPD cohort diagnosed between 2000 and 2003. Among 703 patients with a first diagnosis of COPD between 2004 and 2010, 88% had a diagnostic spirometry, compared with 59% (p < 0.001) in the previous cohort. Factors associated with not having diagnostic spirometry were current smoking (OR 2.21; 95% CI 1.36–3.60), low educational level (OR 1.81; 1.09–3.02) and management in primary care (OR 2.28; 1.02–5.14). The correct interpretation of spirometry results increased (75% vs 82%; p = 0.010). Among patients with a repeated spirometry, 94% had a persistent FEV1/FVC or FEV1/VC ratio <0.70.
Ulam-Hyers stability of tuberculosis and COVID-19 co-infection model under Atangana-Baleanu fractal-fractional operator
Authors: Selvam Arunachalam , Sabarinathan Sriramulu , Senthil Kumar Beri Venkatachalapathy , Byeon Haewon , Guedri Kamel , Eldin Sayed M. , Khan Muhammad Ijaz , Govindan Vediyappan 
Published: June 2023

AbstractThe intention of this work is to study a mathematical model for fractal-fractional tuberculosis and COVID-19 co-infection under the Atangana-Baleanu fractal-fractional operator. Firstly, we formulate the tuberculosis and COVID-19 co-infection model by considering the tuberculosis recovery individuals, the COVID-19 recovery individuals, and both disease recovery compartment in the proposed model. The fixed point approach is utilized to explore the existence and uniqueness of the solution in the suggested model. The stability analysis related to solve the Ulam-Hyers stability is also investigated. This paper is based on Lagrange’s interpolation polynomial in the numerical scheme, which is validated through a specific case with a comparative numerical analysis for different values of the fractional and fractal orders.