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The objective of this study was to determine whether leucine-rich alpha-2 glycoprotein 1 (LRG1) has the potential as a prognosis and severity biomarker in patients with aneurysmal subarachnoid hemorrhage (aSAH).This observational and prospective study included 44 patients with aSAH from Nanjing Drum Tower Hospital over the period of June to December 2020. Concentrations of LRG1 in the cerebrospinal fluid (CSF) were determined by enzyme-linked immunosorbent assay (ELISA) within 24h after aSAH. We further determined the relationship of CSF LRG1 levels with disease severity and prognosis three months after aSAH.Higher CSF LRG1 levels were associated with a higher Hunt-Hess grade (p0.05). Using univariate analysis, it was found that poor outcomes at three months were associated with higher World Federation of Neurological Surgeons Scale (WFNS) score, higher Hunt-Hess grade, higher CSF LRG1 levels and higher Fisher score. Logistic regression analysis revealed a significant impact of LRG1 on the poor outcomes, also after adjustment for confounding factors.These findings suggest an increase in CSF LRG1 levels in aSAH patients, which may serve as a potential biomarker of unfavorable prognosis and disease severity.

To observe the clinical effect of moxibustion withSixty SPF-grade male SD rats were randomly divided into a blank group (8 rats), a sham-operation group (8 rats) and a model establishment group (44 rats). The rats in the model establishment group were injected with AβCompared with the sham-operation group, in the model group, the escape latency was prolonged (Compared with non

We explore the possibility that relativistic protons in the extremely powerful jets of blazars may boost via elastic collisions the dark matter particles in the surroundings of the source to high energies. We concentrate on two sample blazars, TXS 0506+056 - towards which IceCube recently reported evidence for a high-energy neutrino flux - and BL Lacertae, a representative nearby blazar. We find that the dark matter flux at Earth induced by these sources may be sizable, larger than the flux associated with the analogous process of dark matter boosted by galactic cosmic rays, and relevant to access direct detection for dark matter particle masses lighter than 1 GeV. From the null detection of a signal by XENON1T, MiniBooNE, and Borexino, we derive limits on dark matter-nucleus spin-independent and spin-dependent cross sections which, depending on the modelization of the source, improve on other currently available bounds for light dark matter candidates of 1 up to 5 orders of magnitude., Comment: 6+5 pages, 3+2 figures, 1+1 table, 1 supplemental material; version accepted for publication in Physical Review Letters

The global level of climate change agreement and the extensive development of China's industrialization process have caused China to face severe pressures regarding energy conservation and emission reduction. Tourism industry plays an important role in promoting steady economic growth and improving ecological environment in China. The agglomeration economic effect it produces can reduce carbon emissions, but the crowding effect may not be conducive to low carbon development. Therefore, how to reduce carbon emissions while promoting the development of tourism industry has become an urgent problem. This paper measures the level of tourism industry agglomeration and carbon emission in 30 regions of China and uses the method of spatial econometrics to analyze the impact of tourism industry agglomeration on carbon emissions. The empirical results prove that tourism industry agglomeration can reduce the carbon emissions of local and neighboring regions in China. However, this does not mean that the larger the scale of tourism industry agglomeration, the more conducive to the reduction of carbon emissions. For developed tourism groups, the impact of agglomeration effect on carbon emissions of local and adjacent areas shows a U-shaped relationship. When the agglomeration level exceeds 1.963, the expansion of agglomeration scale will increase local carbon emissions. For underdeveloped tourism areas, there is an inverted U-shaped relationship between agglomeration level and carbon emissions both in local and adjacent areas. When the agglomeration level reaches 1.883, the expansion of agglomeration scale will reduce local carbon emissions. The conclusions provide a basis for Chinese government to guide the low-carbon development of the tourism industry from another perspective.

Recently, the CDF collaboration reported a new measurement of the $W$ boson mass $M_W = 80.4335 \pm 0.0094$ GeV, which shows a $\sim 7\sigma$ deviation from the standard model prediction $80.3545 \pm 0.0057$ GeV obtained by the electroweak (EW) global fit. This deviation can be explained by new physics generating moderate EW oblique parameters $S$, $T$, and $U$. In this work, we use the loop corrections induced by some extra EW multiplets to explain the CDF $M_W$ anomaly. The lightest neutral particle in the multiplets can also serve as a candidate of cold dark matter (DM). We consider two such models, namely singlet-triplet scalar DM and singlet-doublet fermionic DM models, and perform numerical scans to find the parameter points accounting for the $M_W$ anomaly. The constraints from the correct DM thermal relic density and direct detection are also taken into account. We find the parameter points simultaneously interpreting the $M_W$ anomaly and satisfying the DM requirements in the former model, but do not find such parameter points in the latter model., Comment: 23 pages, 5 figures; v3: matches version accepted for publication in Phys. Rev. D

The thermodynamic calculations of Al-Cu-Fe-Mg, Al-Cu-Mg-Si and Al–Fe–Mg–Si quaternary systems were carried out using CALPHAD method, based on the Al–Cu–Fe–Mg–Si thermodynamic database. The liquidus projection of Al–Cu–Fe–Mg, Al–Cu–Mg–Si and Al–Fe–Mg–Si quaternary systems at Al-rich corner were constructed, and the solidification structures of Al-12Cu-7Mg-1Fe, Al-14Cu-2Mg-4Si, Al-0.3Fe-6Mg-12Si (wt.%) alloys were analyzed by the Scheil solidification simulation. The calculated results agree well with the previous experimental data. The liquidus projections of three quaternary aluminum alloys at the Al-rich corner were accurately plotted, which could be helpful for the analysis of solidification process of multicomponent alloy systems, and provide an important theoretical basis for the material design of aluminum alloys.

The thermodynamic calculations of Al–Cu–Fe–Si quaternary system and Al–Cu–Fe–Mg–Si quinary system were carried out using CALPHAD approach based on the Al–Cu–Fe–Mg–Si thermodynamic database. The liquidus surface projection of Al–Cu–Fe–Si quaternary system at the Al-rich corner was constructed, and then the solidification structures of four Al–Cu–Fe–Si alloys were analyzed by the Gulliver-Scheil solidification simulation. The calculated results were in good agreement with the previous experimental data. The liquidus surface projections of A1–Cu–Fe–Mg–Si quinary system at the region of Al-Cu, Al-Si and Al-Mg were constructed, respectively. The liquidus projection of the multicomponent aluminum alloy system at the Al-rich side was accurately drawn, which could accurately predict the primary phase in the solidification process of the alloy. This work has an important guiding significance for the design of the aluminum alloys.

Osteosarcoma (OSA) is the most common type of cancer that originates in the bone and usually occurs in young children. OSA patients were treated with neoadjuvant chemotherapy and surgery, and the results were disappointing. Marine antimicrobial peptides (AMPs) have been the focus of antibiotic research because they are resistant to pathogen infection. Piscidin-1 is an AMP from the hybrid striped bass (Morone saxatilis × M. chrysops) and has approximately 22 amino acids. Research has shown that piscidin-1 can inhibit bacterial infections and has antinociception and anti-cancer properties; however, the regulatory effects of piscidin-1 on mitochondrial dysfunction in cancer cells are still unknown. We aimed to identify the effects of piscidin-1 on mitochondrial reactive oxygen species (mtROS) and apoptosis in OSA cells. Our analyses indicated that piscidin-1 has more cytotoxic effects against OSA cells than against lung and ovarian cancer cells; however, it has no effect on non-cancer cells. Piscidin-1 induces apoptosis in OSA cells, regulates mtROS, reduces mitochondrial antioxidant manganese superoxide dismutase and mitochondrial transmembrane potential, and decreases adenosine 5′-triphosphate production, thus leading to mitochondrial dysfunction and apoptosis. The mitochondrial antioxidant, mitoTempo, reduces the apoptosis induced by piscidin-1. Results suggest that piscidin-1 has potential for use in OSA treatment.

In order to improve the detection accuracy of hidden message in images, steganalysis features are selected as inputs for steganalysers. However, the existing Fisher criterion ignores the contribution of steganalysis feature components in dispersion to classification, which causes the useful feature components to be deleted, and decreases the detection accuracy of steganalysis features. By analyzing the separability of steganalysis feature components, we introduce the sigmoid function into Fisher's criterion and propose an improved Fisher criterion (I-Fisher criterion), which can make up for the traditional Fisher criterion in separability measurement of steganalysis feature components. To optimize the steganalysis feature and reduce its dimension, we employ the improved Fisher criterion as the heuristic function of the decision rough set α-positive region reduction, and propose the feature selection method based on the improved Fisher. Experimental results show that the proposed method can reduce the dimension and memory of the GFR high-dimensional feature and the CC-PEV lowdimensional feature while maintaining or improving the detection accuracy.

Dark matter particles near the center of a blazar, after being accelerated by the elastic collisions with relativistic electrons and protons in the blazar jet, can be energetic enough to trigger detectable signals at terrestrial detectors. In this work, focusing on the blazars TXS 0506+056 and BL Lacertae, we derive novel limits on the cross section of the elastic scattering between dark matter and electrons by means of the available Super-Kamiokande data. Thanks to the large blazar-boosted dark matter flux, the limit on the dark matter-electron scattering cross section for dark matter masses below 100 MeV can be as low as $\sim10^{-38}~\text{cm}^2$, which is orders of magnitude stronger than the analogous results from galactic cosmic rays., Comment: 17 pages, 5 figures, and 3 tables; version accepted for publication in JCAP

We propose that the interaction between the axionlike particles (ALPs) and photons can be a possible origin of optical circular polarization (CP) in blazars. Given that there is no definite detection of optical CP at $\sim0.1\%$ level, a rough limit on ALP-photon coupling can be obtained, specifically $g_{a\gamma}\cdot B_\mathrm{T0}\lesssim7.9\times10^{-12}~\mathrm{G\cdot GeV}^{-1}$ for $m_{a}\lesssim 10^{-13}~\mathrm{eV}$, depending on the magnetic field configuration of the blazar jet. Obviously, for the blazar models with a larger magnetic field strength, such as hadronic radiation models, this constraint could be more stringent. We also perform a dedicated analysis of the tentative observations of optical CP in two blazars, namely 3C 66A and OJ 287, and we find that these observations could be explained by the ALP-photon mixing with $g_{a\gamma} \sim 10^{-11}~\mathrm{GeV}^{-1}$. As an outlook, our analysis can be improved by further research on the radiation models of blazars and high-precision joint measurements of optical CP and linear polarization., Comment: 15 pages, 9 figures, 4 tables

(1) Background: Despite increasing recognition of immune checkpoint inhibitors (ICIs) and kidney immune-related adverse events (IRAEs), no large-sample studies have assessed the pathological characteristics and outcomes of biopsy-proven kidney IRAEs. (2) Methods: We comprehensively searched PubMed, Embase, Web of Science, and Cochrane for case reports, case series, and cohort studies for patients with biopsy-proven kidney IRAEs. All data were used to describe pathological characteristics and outcomes, and individual-level data from case reports and case series were pooled to analyze risk factors associated with different pathologies and prognoses. (3) Results: In total, 384 patients from 127 studies were enrolled. Most patients were treated with PD-1/PD-L1 inhibitors (76%), and 95% presented with acute kidney disease (AKD). Acute tubulointerstitial nephritis/acute interstitial nephritis (ATIN/AIN) was the most common pathologic type (72%). Most patients (89%) received steroid therapy, and 14% (42/292) required RRT. Among AKD patients, 17% (48/287) had no kidney recovery. Analyses of pooled individual-level data from 221 patients revealed that male sex, older age, and proton pump inhibitor (PPI) exposure were associated with ICI-associated ATIN/AIN. Patients with glomerular injury had an increased risk of tumor progression (OR 2.975; 95% CI, 1.176, 7.527; p = 0.021), and ATIN/AIN posed a decreased risk of death (OR 0.164; 95% CI, 0.057, 0.473; p = 0.001). (4) Conclusions: We provide the first systematic review of biopsy-proven ICI-kidney IRAEs of interest to clinicians. Oncologists and nephrologists should consider obtaining a kidney biopsy when clinically indicated.

Purpose Climate engineering management (CEM) as an emerging and cross-disciplinary subject gradually draws the attention to researchers. This paper aims to focus on economic and social impacts on the technologies of climate engineering themselves. However, very few research concentrates on the management of climate engineering. Furthermore, scientific knowledge and a unified system of CEM are limited. Design/methodology/approach In this paper, the concept of CEM and its characteristics are proposed and elaborated. In addition, the framework of CEM is established based on management objectives, management processes and supporting theory and technology of management. Moreover, a multi-agent synergistic theory of CEM is put forward to guide efficient management of climate engineering, which is composed of time synergy, space synergy, and factor synergy. This theory is suitable for solving all problems encountered in the management of various climate engineering rather than a specific climate engineering. Specifically, the proposed CEM system aims to mitigate the impact of climate change via refining and summarizing the interrelationship of each component. Findings Overall, the six research frontiers and hotspots in the field of CEM are explored based on the current status of research. Originality/value In terms of the objectives listed above, this paper seeks to provide a reference for formulating the standards and norms in the management of various climate engineering, as well as contribute to policy implementation and efficient management.

As a well-motivated dark matter candidate, axions can be detected through the axion-photon resonant conversion in the magnetospheres of magnetic white dwarf stars or neutron stars. In this work, we utilize Omega Centauri, which is the largest globular cluster in the Milky Way and is suggested to be the remnant core of a dwarf galaxy, to probe the axion dark matter through radio signals that originate from all the neutron stars and magnetic white dwarf stars in it. With 100 hours of observation, the combination of SKA phase 1 and LOFAR can effectively probe the parameter space of the axion-photon coupling $g_{a\gamma}$ up to $10^{-14}\sim 10^{-15}~\text{GeV}^{-1}$ for the axion mass range of $0.1\sim 30 ~\mu\text{eV}$. Depending on the choice of neutron star evolution model, this limitation is two or three and a half orders of magnitude higher than that of the single neutron star or magnetic white dwarf., Comment: 22 pages, 8 figs, and 2 tables; Phys Rev D accepted version

Axion as one of the promising dark matter candidates can be detected through narrow radio lines emitted from the magnetic white dwarf stars. Due to the existence of the strong magnetic field, the axion may resonantly convert into the radio photon (Primakoff effect) when it passes through a narrow region in the corona of the magnetic white dwarf, where the plasma frequency is equal to the axion mass. We show that for the magnetic white dwarf WD 2010+310, the future experiment SKA phase 1 with 100 hours of observation can effectively probe the parameter space of the axion-photon coupling gaγ up to ∼10−12 GeV−1 for the axion mass range of 0.2∼3.7 μeV. Note that in the low mass region (ma≲1.5 μeV), the WD 2010+310 could give greater sensitivity than the neutron star RX J0806.4-4123.

To review systematically the effectiveness and safety ofThe articles on functional constipation treated withA total of 16 articles were included, with 1424 cases involved. Meta analysis results showed: ①The total effective rate in the treatment group was higher than that in the control group

Household air pollution caused by solid fuel use for cooking is prevalent in rural China and generates various environmental and health problems. Various potential impact factors on cooking fuel decision such as income, education, modern energy, and infrastructure are examined. However, the role of family structures has been ignored. A survey on household energy consumption pattern interrelating socio-economic and demographic factors was conducted in ten villages in Northern China using stratified random sampling technique. The number of family member eating together influences households' cooking fuel decision-making significantly. The numbers of school-age children and family members under 6 and above 60 years old have no significant influence on the household's cooking fuel decision-making respectively. Compared with families with neither child nor the elderly, those with no child but at least an elderly member have 0.103 lower probability of choosing clean fuels as their primary cooking fuel. Hence, the elderly owns a heavyweight in the household fuel decision-making process in rural China, and the government should formulate policies more in line with the background of the times to deal with rural energy issues.

The irrational virtual water flow caused by grain trade makes water use efficiency low and further threatens grain security in China. However, optimizing the grain virtual water trade flow from the perspective of the economic value of water resources has rarely been carried out in current research. This paper proposes a linear optimization model considering opportunity cost to fill this gap. The current situation of grain virtual water trade is analyzed and we find an irrational trade mode which quantity and direction of grain virtual water trade in some provinces are not consistent with actual demand. Then, opportunity cost is added to the linear optimization model to adjust grain virtual water trade which shows several advantages compared to general linear optimization model. Results show that huge virtual flow is generated, up to 1179.24 billion cubic meters of water. And the economic value generated by grain virtual water trade can not only cover the transportation cost but can also eventually generate economic benefits of 7410 billion yuan. Finally, the relevant conclusions and implications of adjusting China’s grain virtual water trade are obtained.

The development of electric vehicles (EVs) and autonomous vehicles (AVs) has made great progress and been expected to play an important role in a future transport system. Some researchers have explored the potential impacts of autonomous electric vehicles (AEVs), while few have focused on the public attitude towards AEVs. This paper aims to understand the public acceptance of AEVs through the application of Technology Acceptance Model. Considering the potential environmental benefits of AEVs, this study concentrates on how environmental concern affects AEVs acceptance. Data is collected from an online survey in China and analyzed by a structural model. The results indicate that green perceived usefulness, perceived ease of use and environmental concern have a positive relationship with people’s intentions to use AEVs. Environmental concern poses a powerful indirect effect on using intention through mediating effects. Implications for improving the public acceptance of AEVs and suggestions for further research are given correspondingly in this study.

Background Several studies on the relationship between morphological parameters and traumatic diseases of the knee have already been conducted. However, few studies focused on the association between knee morphology and posterior cruciate ligament (PCL) avulsion fracture in adults. The objective of this study was to evaluate the impact of knee morphology on PCL avulsion fracture. Methods 76 patients (comprised 40 men and 36 women) with PCL avulsion fracture and 76 age- and sex-matched controls without PCL avulsion fracture were studied from 2012 to 2020. MRI measurements of the knee were acquired in the sagittal, coronal, and axial planes. The assessed measurements including intercondylar notch width index, coronal tibial slope, and medial/lateral posterior tibial slopes were compared between men and women, and between case and control groups respectively using independent sample t-tests. In addition, binary logistic regression analyses were used to identify independent risk factors of PCL avulsion fracture. Results Except notch width index (coronal) (p = 0.003) in the case groups, there was no statistical difference in the assessed measurements including notch width index (axial), coronal tibial slope, medial posterior tibial slope, and lateral posterior tibial slope between men and women in the case and control groups (p > 0.05). When female patients were analyzed, the notch width index (coronal) was significantly smaller (p = 0.0004), the medial posterior tibial slope (p = 0.018) and the lateral posterior tibial slope (p = 0.033) were significantly higher in the case group. The binary logistic regression analysis showed that the notch width index (coronal) (B = -0.347, OR = 0.707, p = 0.003) was found to be an independent factor of PCL avulsion fracture. However, none of the assessed measurements was found to have a statistical difference between the case and control groups in men (p > 0.05). Conclusions Notch width index (coronal), medial posterior tibial slope, and lateral posterior tibial slope were found to affect PCL avulsion fracture in women, but no such measurements affected the PCL avulsion fracture in men. Furthermore, a smaller notch width index (coronal) in women was found to be a risk factor in PCL avulsion fracture.

New physics could be explored through loop effects by the precision measurements at the Circular Electron Positron Collider due to its clean collision environment and high luminosity. In this work, we focus on two dark matter models that involve additional electroweak fermionic multiplets. We calculate their one-loop corrections to five processes, i.e. $e^+e^- \to \mu^+\mu^-, ~Zh, ~ZZ, ~W^+W^-$, and $Z\gamma$, and investigate the corresponding signatures at CEPC with the projected sensitivity. We find that the detectable parameter regions of these processes are complementary. The combined analysis shows that the mass of dark matter $m_{\chi^0_1}$ in these two models can be probed up to $ \sim 150~\mathrm{GeV}$ and $\sim 450$ GeV at a 95\% confidence level, respectively., Comment: 15 pages, 5 figures

It is one of the most important parts in velocity field building for the interval velocity calculation, which restricted the accuracy of space variable velocity field seriously. Because of the low accuracy of velocity spectrum and the few-wells in deep, it is difficult to meet the demand of deep horizontal well drilling for the interval velocity calculated from the velocity spectrum. So the interval velocity is obtained from the P-wave impedance, which is used to combine with the calculated interval velocity based on the velocity spectrum and build the velocity field in this paper. Compared with the conventional velocity field building, it shows that the calculated interval velocity based on the P-wave impedance matched well with the interval velocity in wells, in addition, the resolution of the calculated interval velocity based on the P-wave impedance has been significantly improved compared with that of the calculated interval velocity based on the velocity spectrum. Finally, it is founded that the depth-prediction accuracy of the un-participated wells has been improved significantly by the new velocity field method, which lays a foundation for the further exploration of deep tight gas.

We propose two models where a U(1) Peccei-Quinn global symmetry arises accidentally and is respected up to high-dimensional operators, so that the axion solution to the strong CP problem is successful even in the presence of Planck-suppressed operators. One model is SU($$ \mathcal{N} $$ N ) gauge interactions with fermions in the fundamental and a scalar in the symmetric. The axion arises from spontaneous symmetry breaking to SO($$ \mathcal{N} $$ N ), that confines at a lower energy scale. Axion quality in the model needs $$ \mathcal{N} $$ N ≳ 10. SO bound states and possibly monopoles provide extra Dark Matter candidates beyond the axion. In the second model the scalar is in the anti-symmetric: SU($$ \mathcal{N} $$ N ) broken to Sp($$ \mathcal{N} $$ N ) needs even $$ \mathcal{N} $$ N ≳ 20. The cosmological DM abundance, consisting of axions and/or super-heavy relics, can be reproduced if the PQ symmetry is broken before inflation (Boltzmann-suppressed production of super-heavy relics) or after (super-heavy relics in thermal equilibrium get partially diluted by dark glue-ball decays).

We consider a model with Sp dark gauge group and a scalar field in the fundamental representation, which leads to two co-stable DM candidates at the perturbative level thanks to a global U(1) accidental symmetry. After gauge confinement at low energy scale, only one of the two candidates is still stable. We compute the DM relic abundance by solving the Boltzmann equations numerically. The presence of light dark glueballs gives extra cosmological effects and can affect Higgs physics. We study the DM phenomenology, providing the predictions for direct and indirect detection (including the Sommerfeld enhancement). We show that the model predicts a slightly suppressed indirect detection cross section in comparison to the usual WIMPs paradigm.

We consider theories with one gauge group (SU, SO or Sp) and one scalar in a two-index representation. The renormalizable action often has accidental symmetries (such as global U(1) or unusual group parities) that lead to one or more stable states, providing Dark Matter candidates. We discuss the confined phase(s) of each theory and compute the two Higgs phases, finding no generic dualities among them. Discrete gauge symmetries can arise and accidental symmetries can be broken, possibly giving pseudo-Goldstone Dark Matter. Dark Matter candidates can have a complicated sub-structure characteristic of each group and can be accompanied by extra dark radiation., Comment: 51 pages, 5 figures, 3 tables; published version, expanded taking into account the existence of extra stable states: C-odd SU(N) models glueballs

It is of great significance to quickly and accurately detect the current and future development trends of low-carbon technologies (LCT). However, there is a lack of detecting research fronts of low-carbon technologies based on the bibliographic data. This paper proposes a research framework integrating LCT domains and the bibliometric coupling with sliding window technique to explore the LCT research fronts in recent decade (from 2007 to 2016). Eleven research fronts matching the foresight given by LCT experts are identified, including carbon capture and storage (CCS) in power generation, technology transfer, technology diffusion, electrocoagulation, magnetic nanoparticles, critical metals application, electrocatalytic water oxidation, ionic liquids, mutually immiscible ionic liquids, electric vehicle (China), electric vehicle (UK and USA). Closer investigation of the evolution shows that CCS application in the power plants and hydrogen production from water electrolysis are two emerging fronts. Besides, bibliometric coupling with sliding window is an effective tool to detect the frontiers of low-carbon technologies. Finally, the implications of the research for LCT monitoring and development are discussed.

As China gradually completes the process of industrialization, its industrial energy consumption growth is now slowing and even decreasing. Meanwhile, household energy consumption in the residential sector has seen steady growth. This paper aims to explore the mechanisms of factors affecting urban household energy-saving behavior including the habitual energy-saving behaviors and purchasing energy-saving behaviors. A structural equation model is built to analyze the influencing routes and effects of individual objective and subjective characteristic factors, external influencing factors, and energy-saving intentions on shaping energy-saving behaviors. The empirical results drawing on the survey data collected in Shandong province show that external influencing factors that have two kinds of mediating effects through energy-saving intentions and individual subjective characteristic factors are the most crucial factors to energy-saving behaviors. Values included in individual subjective factors and quality of energy-saving products included in external influencing factors have greatest effects on energy-saving behaviors.