bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic density correlations in baryon rich fluid using Mori–Zwanzig–Nakajima projection operator method
Authors: Kadam Guruprasad 
Published: July 2022

AbstractIn this work, we calculate the dynamic density correlations using Mori–Zwanzig–Nakajima projection operator method. With a judicious choice of slow variables we derive the evolution equations for these slow variables starting from generalised Langevin equation. We get the hydrodynamic form of density correlations function which consist of two acoustic peaks: also called Brillouin peaks, and one thermal peak: also called Rayleigh peak. We then estimate the dynamic density correlations near the critical point using critical exponents extracted from the statistical bootstrap model of hadronic matter. We find that the bulk viscosity contributes to the sound attenuation at leading order$$\sim |t|^{-\frac{5}{4}}$$∼|t|-54while the thermal conductivity contribute at sub-leading order$$\sim |t|^{-\frac{3}{4}}$$∼|t|-34. On the other hand, only the thermal conductivity contributes at leading order$$\sim |t|^{\frac{1}{4}}$$∼|t|14to the thermal diffusivity. We discuss the implications of these results in search for the QCD critical point in the heavy-ion collision experiments.
First camera trap record of Striped Hyena Hyaena hyaena (Linnaeus, 1758) (Mammalia: Carnivora: Hyaenidae) in Parsa National Park, Nepal
Authors: Regmi Pramod Raj , Chetri Madhu , Acharya Haribhadra , Sigdel Prakash , Adhikari Dipendra , Subedi Naresh , Lamichhane Babu Ram 
Published: July 2022

The Striped Hyena occurs in the Tarai and midhill regions of Nepal, where limited information is available on species distribution. A camera trap survey was conducted in Parsa National Park in 2016 (Feb–May) and 2016–2017 (Nov–Feb) to monitor tigers at 158 locations for 21 days (6,615 trap efforts in total). This study successfully captured the 15 hyena images in 5 grids of eastern part (named as extension area) of national park. A total of 17 mammal species were captured simultaneously in hyena captured grid during the survey period. The presence of hyenas in Parsa National Park indicates the collective efforts of the government, conservation organizations and local communities in hyena conservation. A detailed ecological study of this species has been recommended for designing hyena conservation plan in the region.
Sex Differences in Endovascular Therapy for Ischemic Stroke: Results From the Get With The Guidelines–Stroke Registry
Authors: Demel Stacie L. , Reeves Mathew , Xu Haolin , Xian Ying , Mac Grory Brian , Fonarow Gregg C. , Matsouaka Roland , Smith Eric E. , Saver Jeff , Schwamm Lee 
Published: July 2022

Background:
In 2015, endovascular therapy (EVT) for large vessel occlusions became standard of care for acute ischemic stroke. Lower utilization of IV alteplase has been reported in women, but whether sex differences in EVT use in the United States exists has not been established.

Methods:
We identified all acute ischemic stroke discharges from Get With The Guidelines–Stroke hospitals between 2012 and 2019 who were potentially eligible for EVT, based on National Institutes of Health Stroke Scale score ≥6 and arrival <6 hours, according to 2018 American Heart Association/ASA guidelines. Multivariable regression analyses were used to determine the association between sex and EVT utilization, and outcomes (including mortality, discharge home, functional status) after EVT. Separate analyses were conducted for the 2 time periods: 2012 to 2014, and 2015 to 2019.

Results:
Of 302 965 patients potentially eligible for EVT, 42 422 (14%) received EVT. Before 2015, EVT treatment rates were 5.3% in women and 6.6% in men. From 2015 to 2019, treatment rates increased in both sexes to 16.7% in women and 18.5% in men. The adjusted odds ratio for EVT in women compared with men was 0.93 (95% CI, 0.87–0.99) before 2015, and 0.98 (95% CI, 0.96–1.01) after 2015. There were no significant sex differences in outcomes except that after 2015, women were less able to ambulate at discharge (adjusted odds ratio, 0.95 [95% CI, 0.95–0.99]) and had lower in-hospital mortality (adjusted odds ratio, 0.93 [95% CI, 0.88–0.99]).

Conclusions:
EVT utilization has increased dramatically in both women and men since EVT approval in 2015. Following statistical adjustment, women were less likely to receive EVT initially, but after 2015, women were as likely as men to receive EVT. After EVT, women were more likely to be disabled at discharge but less likely to experience in-hospital death compared with men.
Machines That Feel and Think: The Role of Affective Feelings and Mental Action in (Artificial) General Intelligence
Authors: Deane George 
Published: July 2022

Abstract
What role do affective feelings (feelings/emotions/moods) play in adaptive behaviour? What are the implications of this for understanding and developing artificial general intelligence? Leading theoretical models of brain function are beginning to shed light on these questions. While artificial agents have excelled within narrowly circumscribed and specialised domains, domain-general intelligence has remained an elusive goal in artificial intelligence research. By contrast, humans and nonhuman animals are characterised by a capacity for flexible behaviour and general intelligence. In this article I argue that computational models of mental phenomena in predictive processing theories of the brain are starting to reveal the mechanisms underpinning domain-general intelligence in biological agents, and can inform the understanding and development of artificial general intelligence. I focus particularly on approaches to computational phenomenology in the active inference framework. Specifically, I argue that computational mechanisms of affective feelings in active inference—affective self-modelling—are revealing of how biological agents are able to achieve flexible behavioural repertoires and general intelligence. I argue that (i) affective self-modelling functions to “tune” organisms to the most tractable goals in the environmental context; and (ii) affective and agentic self-modelling is central to the capacity to perform mental actions in goal-directed imagination and creative cognition. I use this account as a basis to argue that general intelligence of the level and kind found in biological agents will likely require machines to be implemented with analogues of affective self-modelling.
Doing Difference Together
Authors: Verran Helen , Christie Michael 
Published: July 2022

Our essay begins with a story of a disagreement between a senior Aboriginal elder and an eminent Australian environmental scientist about whether two plants are the same or different. This highly specific disagreement, which occurred in the context of an attempt to exchange knowledge about land management, brings into focus what is involved in developing a philosophically sophisticated postcolonial dialogue as part of knowledge and culture work with Yolŋu Aboriginal Australians.
We propose an Australian comparative empirical philosophical inquiry (ACEPI) as an intervention located in such encounters to prolong the possibilities for “doing difference” before forming concepts, through which a specific “going on together” becomes possible. We explain why we aspire to dialogue and recognize the worth of ontic discomfort, which might offer resources for ontic innovation. We also briefly discuss a project using a contrived analytic archive of Yolŋu texts, generated over the past twenty-five years.
Restricted Dialogue
Authors: Su Feng 
Published: July 2022

In continental China, the impact of modern Western ideologies such as Marxism and the anti-traditional movement at the turn of the 20th century continue to play a significant role in current debates in the visual arts. Specifically, the question of whether contemporary Chinese visual arts should preserve, reinvent, or react against their traditions has become a very controversial topic.
This essay attempts to show the relevance of dialogue with the past by focusing on a traditional theme – cloud imagery – and the ways it was used in the Mao Zedong era (1942-1976). In spite of the political and social radicalism that promoted a break from tradition, cloud imagery was reinterpreted to convey such a radical ideology. Hence, in a hermeneutical irony, by promoting the idea of a better “cultural present” severed from tradition the Mao era simply confirmed how vital it is as a principle to maintain a relationship with the past. However, whether such a re-appropriation for socio-political purpose can be called a dialogue remains open to debate.
Projections of Hydroclimatic Extremes in Southeast Alaska under the RCP8.5 Scenario
Authors: Lader Rick , Bhatt Uma S. , Walsh John E. , Bieniek Peter A. 
Published: July 2022

Abstract
Parts of southeast Alaska experienced record drought in 2019, followed by record daily precipitation in late 2020 with substantial impacts to human health and safety, energy resources, and fisheries. To help ascertain whether these types of events can be expected more frequently, this study investigated observed trends and projected changes of hydroclimatic extremes indices across southeast Alaska, including measures of precipitation variability, seasonality, magnitude, and type. Observations indicated mixed tendencies of interannual precipitation variability, but there were consistent trends toward warmer and wetter conditions. Projected changes were assessed using dynamically downscaled climate model simulations at 4-km spatial resolution from 2031 to 2060 that were compared with a historical period from 1981 to 2010 using two models—NCAR CCSM4 and GFDL CM3. Consistent directional changes were found for five of the analyzed indices. The CCSM indicated increased maximum 1-day precipitation (RX1; 12.6%), increased maximum consecutive 5-day precipitation (RX5; 7.4%), longer periods of consecutive dry days (CDD; 11.9%), fewer snow cover days (SNC; −21.4%) and lower snow fraction (SNF; −24.4%); for GFDL these changes were 19.8% for RX1, 16.0% for RX5, 20.1% for CDD, −21.9% for SNC, and −26.5% for SNF. Although both models indicated substantial snow losses, they also projected annual snowfall increases at high elevations; this occurred above 1500 m for CCSM and above 2500 m for GFDL. Significance testing was assessed at the 95% confidence level using Theil–Sen’s slope estimates for the observed time series and the Wilcoxon–Mann–Whitney U test for projected changes of the hydroclimatic extremes indices relative to their historical distributions.
Representation of Atmospheric Water Budget and Uncertainty Quantification of Future Changes in CMIP6 for the Seven U.S. National Climate Assessment Regions
Authors: Sengupta Agniv , Waliser Duane E. , Massoud Elias C. , Guan Bin , Raymond Colin , Lee Huikyo 
Published: July 2022

Abstract
Observation-based climate model evaluation and future projections help policymakers in developing action plans for efficient management of water resources and mitigation of the impacts of hazardous extremes. Apart from this socioeconomic importance, the scientific value cannot be overstated, especially in light of the upcoming Fifth U.S. National Climate Assessment (NCA) report. In this study, we evaluate the realism of hydroclimate variability in the historical simulations of a suite of coupled general circulation models (CGCMs) participating in the fifth and sixth phases of the Coupled Model Intercomparison Project (CMIP5 and CMIP6). Our results demonstrate systematic biases in the simulated seasonal precipitation—most prominently, wet bias over the mountainous western United States in winter, and dry bias over the U.S. central plains in summer. A distinctive feature of this work is our focus on the examination of the atmospheric water budget, in particular the relative importance of remote and local contributions—convergence of moisture fluxes and local land surface processes (evapotranspiration) respectively—in helping produce precipitation. This diagnosis reveals that the leading contribution of the remote influence in winter is overestimated by the CMIP6 multimodel mean (MMM), whereas the local influence, which is more influential in summer, is underestimated. Our results aid in understanding the drivers of seasonal precipitation over the United States, where precipitation will likely increase by the end of the century but with significant model disagreement for the summer and fall. In support of ongoing NCA efforts, our study aims to contribute a comprehensive, regional-level analysis of the moisture budget and emphasizes the importance of realistically simulating its major components in CGCMs.
Variability of Jakarta Rain-Rate Characteristics Associated with the Madden–Julian Oscillation and Topography
Authors: Lestari Sopia , King Andrew , Vincent Claire , Protat Alain , Karoly David , Mori Shuichi 
Published: July 2022

Abstract
Research on the interaction between the Madden–Julian oscillation (MJO) and rainfall around Jakarta is limited, although the influence of the MJO on increased rainfall is acknowledged as one of the primary causes of flooding in the region. This paper investigates the local rainfall response around Jakarta to the MJO. We used C-band Doppler radar in October–April during 2009–12 to study rain-rate characteristics at much higher resolution than previous analyses. Results show that the MJO strongly modulates rain rates over the region; however, its effect varies depending on topography. During active phases, MJO induces a high rain rate over the ocean and coast, meanwhile during suppressed phases, it generates a high rain rate mainly over the mountains. In phase 2 of the MJO we find the strongest increase in mean and extreme rain rate, which is earlier in the MJO cycle than most studies reported, based on lower-resolution data. This higher rain rate is likely due to increases in convective and stratiform activities. The MJO promotes more stratiform rain once it resides over Indonesia. In phase 5, over the northwestern coast and western part of the radar domain, the MJO might bring forward the peak of the hourly rain rate that occurs in the early morning. This is likely due to a strong westerly flow arising from MJO superimposed westerly monsoonal flow, blocked by the mountains, inducing a strong wind propagating offshore resulting in convection near the coast in the morning. Our study demonstrates the benefits of using high-resolution radar for capturing local responses to the larger-scale forcing of the MJO in Indonesia.

Significance Statement
Rainfall in Jakarta and its surroundings is highly variable and often heavy resulting in devastating floods. In this region, in the wet season, rainfall is influenced by large-scale climate variability including the Madden–Julian oscillation (MJO) characterized by eastward propagation of clouds near the equatorial regions on intraseasonal time scales. The MJO has been known to increase the probability of rainfall occurrence and its magnitude, but we show that the impact differs in varying topography. The frequency and intensity of rainfall increase over land areas including mountains even when MJO has not arrived in Indonesia. Meanwhile, once MJO moves through Indonesia, the frequency and magnitude of the rainfall increases over the northern coast and ocean as well as in the west of the radar domain.
Association between migraine and cognitive impairment
Authors: Gu Lihua , Wang Yanjuan , Shu Hao 
Published: July 2022

Abstract
Background
Previous studies revealed inconsistent results regarding association between migraine and cognitive impairment. In addition, previous studies found inconsistent results regarding the association between migraine and risk of dementia. Thus, the study aimed to make a meta-analysis exploring comparison result in different types of cognitive function between migraine patients and non-migraine subjects. In addition, meta-analysis was made to explore the association between migraine and risk of dementia.

Methods
Articles published before June 2022 were searched in the following databases: PubMed, Web of Science, SCOPUS, EMBASE, EBSCO, PROQUEST, ScienceDirect and Cochrane Database of Systematic Reviews. Results were computed using STATA 12.0 software.

Results
Meta-analysis showed lower general cognitive function and language function in migraine group, compared to no migraine group (general cognitive function: standard mean difference (SMD) = − 0.40, 95% CI = − 0.66 to − 0.15; language: SMD = − 0.14, 95% confidence interval (CI) = − 0.27 to − 0.00), whereas the study showed no significant difference in visuospatial function, attention, executive function and memory between migraine group and no migraine group (visuospatial function: SMD = − 0.23, 95% CI = − 0.53 to 0.08; attention: SMD = − 0.01, 95% CI = − 0.10 to 0.08; executive function: SMD = − 0.05, 95% CI = − 0.16 to 0.05; memory: SMD = − 0.14, 95% CI = − 0.30 to 0.03). In addition, the meta-analysis showed a significant association between migraine and risk of dementia (odds ratio (OR)/relative risk (RR) = 1.30, 95% CI = 1.11 to 1.52).

Conclusions
In conclusion, the meta-analysis demonstrated lower general cognitive function and language function in migraine. In addition, migraine is associated with an increased risk of all-cause dementia, VaD and AD. These results suggest a significant association between migraine and cognitive impairment. Because of the association between migraine and cognitive impairment, neurological physician should be vigilant and effectively intervene in migraineurs with high risk factors of cognitive impairment to prevent the development of cognitive impairment.
Analysis of the causal structure of traits involved in sow lactation feed efficiency
Authors: Mora Mónica , David Ingrid , Gilbert Hélène , Rosa Guilherme J. M. , Sánchez Juan Pablo , Piles Miriam 
Published: July 2022

Abstract
Background
Feed efficiency during lactation involves a set of phenotypic traits that form a complex system, with some traits exerting causal effects on the others. Information regarding such interrelationships can be used to predict the effect of external interventions on the system, and ultimately to optimize management practices and multi-trait selection strategies. Structural equation models can be used to infer the magnitude of the different causes of such interrelationships. The causal network necessary to fit structural equation models can be inferred using the inductive causation (IC) algorithm. By implementing these statistical tools, we inferred the causal association between the main energy sources and sinks involved in sow lactation feed efficiency for the first time, i.e., daily lactation feed intake (dLFI) in kg/day, daily sow weight balance (dSWB) in kg/day, daily litter weight gain (dLWG) in kg/day, daily back fat thickness balance (dBFTB) in mm/day, and sow metabolic body weight (SMBW) in kg0.75. Then, we tested several selection strategies based on selection indices, with or without dLFI records, to improve sow efficiency during lactation.

Results
The IC algorithm using 95% highest posterior density (HPD95%) intervals resulted in a fully directed acyclic graph, in which dLFI and dLWG affected dSWB, the posterior mean of the corresponding structural coefficients (PMλ) being 0.12 and − 0.03, respectively. In turn, dSWB influenced dBFTB and SMBW, with PMλ equal to 0.70 and − 1.22, respectively. Multiple indirect effects contributed to the variances and covariances among the analyzed traits, with the most relevant indirect effects being those involved in the association between dSWB and dBFTB and between dSWB and SMBW. Selection strategies with or without phenotypic information on dLFI, or that hold this trait constant, led to the same pattern and similar responses in dLFI, dSWB, and dLWG.

Conclusions
Selection based on an index including only dBFTB and dLWG records can reduce dLFI, keep dSWB constant or increase it, and increase dLWG. However, a favorable response for all three traits is probably not achievable. Holding the amount of feed provided to the sows constant did not offer an advantage in terms of response over the other strategies.
Maize growth response to different Bacillus strains isolated from a salt-marshland area under salinity stress
Authors: Zakavi Maryam , Askari Hossein , Shahrooei Mohammad 
Published: July 2022

AbstractMaize (Zea mays) growth performance has been hindered due to the high soil salinity. Salinity is one of the most severe abiotic stresses that has led to growth imbalance and profitability of harvests in arid and semi-arid regions. Plants have taken advantage of salt-tolerant bacteria as plant growth-promoters to enhance growth and reduce the adverse effects of salinity through the regulation of some biochemical, physiological, and molecular features. Preferences for non-chemical, eco-friendly, and economical approaches have caused the inquiry of theBacillusgenus as a joint group of plant growth-promoting rhizobacteria known to alleviate salt-stress impacts. In the present study, halotolerantBacillusstrains were isolated from salt-marshland soil and characterized for their physiological, molecular, and biochemical properties. Twenty-four bacterial isolates collected from high saline fields of salt marshland were analyzed by MALDI-TOF MS proteome analysis, which confirmed the taxonomic affiliation withBacillus cereus,Bacillus subtilis,Bacillus atrophaeus, andBacillus thorngiensis. Applying the isolates on maize plants as bio-inoculant bacteria obviously increased the growth parameters (P < 0.01). Pot experiments showed that isolates 74 and 90 were the most prominent strains to minimize the harmful effects of salinity. Its effects are heightening the potassium/sodium ratio and K-Na selectivity in shoots and roots measured by flame atomic absorption photometry (AAS). Accordingly,Bacillus cereusisolate 74 showed a maximum increase in dry weights of the shoot (133.89%), root (237.08%), length of the shoot (125%), and root (119.44%) compared to the control condition. Our findings suggest that bacteria isolated from marshland may be an economical and simple means to increase plant growth and resistance to high salinity soil conditions.