bluuebunny/crossref_metadata_2025 huggingface dataset:
Decomposing the AIA 304 Å Channel into Its Cool and Hot Components
Authors: Antolin Patrick , Auchère Frédéric , Winch Ethan , Soubrié Elie , Oliver Ramón
Published: July 2024

The AIA 304 Å channel on board the Solar Dynamics Observatory (SDO) offers a unique view of $\approx 10^{5}\text{ K}$
≈

10

5

 K
plasma emitting in the He ii 304 Å line. However, when observing off-limb, the emission of the (small) cool structures in the solar atmosphere (such as spicules, coronal rain and prominence material) can be of the same order as the surrounding hot coronal emission from other spectral lines included in the 304 Å passband, particularly over active regions. In this paper, we investigate three methods based on temperature and morphology that are able to distinguish the cool and hot emission within the 304 Å passband. The methods are based on the Differential Emission Measure (DEM), a linear decomposition of the AIA response functions (RFit) and the Blind Source Separation (BSS) technique. All three methods are found to produce satisfactory results in both quiescent and flaring conditions, largely removing the diffuse corona and leading to images with cool material off-limb in sharp contrast with the background. We compare our results with co-aligned data from the Interface Region Imaging Spectrograph (IRIS) in the SJI 1400 Å and 2796 Å channels, and find the RFit method to best match the quantity and evolution of the cool material detected with IRIS. Some differences can appear due to plasma emitting in the $\log T=5.1\,\text{--}\,5.5$
log
T
=
5.1

–

5.5
temperature range, particularly during the catastrophic cooling stage prior to rain appearance during flares. These methods are, in principle, applicable to any passband from any instrument suffering from similar cool and hot emission ambiguity, as long as there is good coverage of the high-temperature range.
Removal of Chromium ions (Cr6+) and Nickel ions (Ni2+) from Simulated Industrial Wastewater Using Flow-by-Porous Electrode
Authors: Kamel Moatasem M. , Bastaweesy Ali M.
Published: July 2024

The quality of water is significantly impacted by the presence of Cr6+ and Ni2+ ions. This study investigates the effectiveness of a flow-by porous graphite electrode cell in removing these contaminants from simulated industrial wastewater. We explore the impact of various factors on the removal process, demonstrating the method's potential for efficient removal. The initial concentration of nickel and chromium ions (20 to 80 mg/l and 20 to 100 mg/l, respectively), the feed flow rate (0.28 to 1.11 ml/s), current density (0.2 to 2.25 mA/cm2) and pH all influence the removal rate and efficiency. A higher feed flow rate negatively affects the removal efficiency of both Ni2+ and Cr6+ ions. Nickel removal efficiency decreased by 34.9% at 20 ppm and 26% at 80 ppm, representing the highest and lowest reductions in efficiency, respectively. Chromium removal efficiency decreased by 19% at 100 ppm and 6.5% at 50 ppm, indicating the highest and lowest reductions in efficiency, respectively, under the same flow rate change. Under optimal conditions, the removal efficiency for Ni2+ was 99.47% after 15 min of operation at a current density of 1.96 mA/cm2, a flow rate of 0.28 ml/s, and a pH of 8 and the removal efficiency for Cr6+ was 99.97% after 10 min of operation at a current density of 2.25 mA/cm2, a flow rate of 0.28 ml/s, and a pH of 2. The flow-through porous electrode system achieves efficient heavy metal removal with operating costs of 0.24 USD/m3 for nickel and 0.38 USD/m3 for chromium at optimal conditions.
Strain Determination Using a Global Interpolation Concept Based on Coherence Scanning Interferometry Measurements
Authors: Müller-Lohse L. , Hartmann S. , Richter A. , Rembe C.
Published: July 2024

Background

The experimental detection of small and large strains requires special approaches of full-field measurement techniques and their evaluation on 3D curved surfaces of components.

Objectives

Since classical digital image correlation methods have difficulties with the application of paints in some applications, one aim is to use a method in which the surface roughness is used to apply the strain calculation.

Methods

In this paper, 2D digital image correlation is applied to 2D intensity maps extracted from a coherence scanning interferometer together with height information. Height information are used to reconstruct the 3D motion of tracked material points. Surface interpolation and strain calculation are performed using globally formulated radial basis functions.

Results

The entire procedure leads to an appropriate technique for determining the in-plane strains in curved surfaces of parts, whereas the expected accuracy for various levels of the radial basis functions are discussed in detail.

Conclusions

Particularly, coherence scanning interferometry yields highly accurate height information. To smooth the surface motion, it turns out that in particular a regression analysis is required, where we apply radial basis functions with various approximation levels. This is an alternative procedure for surface strain determination.
The effect of gadolinium-doped ceria interlayer on the oxygen reduction reaction in a LSCF cathode-ScSZ electrolyte supported IT-SOFCs
Authors: Nisar Jamila , Giddey Sarbjit , Kaur Gurpreet , Kulkarni Aniruddha P. , Biswas Saheli , Jones Lathe A. , Bhargava Suresh K.
Published: July 2024

Solid oxide fuel cells (SOFCs) are rapidly emerging as a technology, offering the potential for carbon neutral or carbon negative generation of electricity and heat (combined heat and power) using synthetic carbohydrate fuels and hydrogen. A significant challenge associated with SOFCs is the high polarization resistance experienced at the cathode during the oxygen reduction reaction (ORR), which diminishes the cell efficiency. The kinetics of the ORR are influenced by factors such as the cathode material type, its microstructure, and the quality of the interface between the cathode and electrolyte. In our research, we have addressed this issue by modifying the interface between the state-of-the-art cathode material, Lanthanum Strontium Cobalt Ferrite—La0.6Sr0.4Co0.2Fe0.8O3-δ (LSCF), and the Scandia stabilized Zirconia (ScSZ) electrolyte. This modification involved the deposition of a micron-sized film of ion-conducting gadolinium-doped ceria (Gd0.1Ce0.9O2-δ) – (GDC) as an interface layer. Our analysis involved systematic studies, including variations in cell operating temperatures and applied potentials, as well as measurements of cell performance over an extended period. We observed a significant enhancement in cell performance with the introduction of the GDC interfacial layer between the LSCF cathode and ScSZ electrolyte. Specifically, we recorded a cathode polarization resistance as low as 0.40 Ωcm2 for the modified interface, which is substantially lower compared to bare LSCF cathodes (3.04 Ωcm2) at 600 °C. This reduction in cathode resistance can primarily be attributed to the improved conditions for the oxygen reduction reaction (ORR), resulting from enhanced interfacial contact between the electrode and the electrolyte and mitigation of any zirconium interdiffusion as seen from detailed scanning electron microscopic studies.
Aerosol Deposition of CuFeO2 Photocathode Coatings for Hydrogen Production
Authors: Bruera Alessia , Elsenberg Andreas , Borghi Mauro , Dolcetti Giulia , Bolelli Giovanni , Gärtner Frank , Schieda Mauricio , Klassen Thomas , Lusvarghi Luca
Published: July 2024

Photoelectrochemical (PEC) water splitting is a viable route for green hydrogen generation. In PEC cells, the electrodes are coated with suitable semiconductor materials, which absorb the sunlight, generating charge carriers that are used to split water molecules into H2 and O2. CuFeO2 is one promising photocathode material for water splitting. However, its performance is limited by electron/hole pairs recombination within the film and at the film/substrate interface. Aerosol deposition (AD) can be employed to minimize charge recombination by spraying dense, thin films and by establishing a good back-contact interface. In this study, CuFeO2 powders were synthesized through a conventional solid-state technique and sprayed by AD under varied parameter sets. The effect of particle size distributions, carrier gas, gas pressure and substrate temperature was investigated. The best spraying parameter set was then tuned to obtain thin coatings (< 1 µm). Single-particle deformation and coatings microstructure were investigated by scanning electron microscopy. Optical properties of CuFeO2 films were analyzed by UV–Vis spectroscopy, while photoelectrochemical performances were estimated through amperometry tests under simulated sunlight. The results of this research show that CuFeO2 photocathodes can be successfully manufactured by AD. Their performance can be optimized by adjusting coating thickness and by annealing in air.
Time since fire affects ecological stoichiometry of plant–soil–microbial systems of Betula platyphylla, a pioneer species in burnt areas of China’s boreal forest
Authors: Cai Huiying , Lin Yang , Liang Yatao , Yang Guang , Sun Long
Published: July 2024

Plant stoichiometry and nutrient allocation may reflect adaptation strategies to environmental nutrient changes. Fire, as a major disturbance in forests, mediates soil nutrient availability that may influence plant nutrient dynamics. However, plant–soil stoichiometric allocation strategies during different post-fire periods and the effects of soil, enzymes, and microbial biomass on plant stoichiometry are largely unknown. The pioneer tree species Betula platyphylla in burnt forests of northern China was the object of this study, and severely burned areas selected with different fire years. Nearby unburned areas acted as a control. Carbon (C), nitrogen (N), and phosphorus (P) contents in leaves, branches, and fine roots and rhizosphere soil, C-, N- and P-acquiring enzyme activities were examined. Microbial biomass C, N, and P were measured, and factors influencing C:N:P stoichiometry of plants during the burned area restoration were explored. Our results show that C and N contents in leaves increased with time since fire, while C and P in branches and C, N and P in fine roots decreased. Activities of C-, N-, and P-acquiring enzymes and microbial biomass N increased with time since fire. Redundancy analysis showed that changes in soil N-acquiring enzyme activity, microbial biomass C, and N had significant effects on plant ecological stoichiometry. These results show a significant flexibility in plant nutrient element allocation strategies and C:N:P stoichiometric characteristics. Soil extracellular enzyme activity drives the changes in stoichiometry during the process of post-fire restoration.
Systemic Therapy for Non-Melanoma Skin Cancers: Latest Advances
Authors: Lessans Spencer , O’Connell Katie A. , Choe Jennifer
Published: July 2024

Purpose of Review

This review provides an update on approved and emerging systemic therapies in the treatment of locally advanced or metastatic non-melanoma skin cancers (squamous cell carcinoma, basal cell carcinoma, Merkel cell carcinoma).

Recent Findings

Many studies demonstrate the effectiveness of immunotherapy for all types of non-melanoma skin cancer. For basal cell carcinoma (BCC), hedgehog inhibitors (HHI) remain first-line but with poor tolerability. Numerous clinical trials studying both neoadjuvant and adjuvant use of anti-PD-1 and anti-PD-L1 therapies in advanced NMSC are under investigation.

There is a growing number of systemic therapies available to treat non-melanoma skin cancers. The advent of immunotherapy has revolutionized the field and greatly improved survival compared to historical survival rates with cytotoxic chemotherapy.
The Chemokine CCL2 Promotes Excitatory Synaptic Transmission in Hippocampal Neurons via GluA1 Subunit Trafficking
Authors: Ji En , Zhang Yuanyuan , Li Zhiqiang , Wei Lai , Wu Zhaofa , Li Yulong , Yu Xiang , Song Tian-Jia
Published: July 2024

The CC chemokine ligand 2 (CCL2, also known as MCP-1) and its cognate receptor CCR2 have well-characterized roles in chemotaxis. CCL2 has been previously shown to promote excitatory synaptic transmission and neuronal excitability. However, the detailed molecular mechanism underlying this process remains largely unclear. In cultured hippocampal neurons, CCL2 application rapidly upregulated surface expression of GluA1, in a CCR2-dependent manner, assayed using SEP-GluA1 live imaging, surface GluA1 antibody staining, and electrophysiology. Using pharmacology and reporter assays, we further showed that CCL2 upregulated surface GluA1 expression primarily via Gαq- and CaMKII-dependent signaling. Consistently, using i.p. injection of lipopolysaccharide to induce neuroinflammation, we found upregulated phosphorylation of S831 and S845 sites on AMPA receptor subunit GluA1 in the hippocampus, an effect blocked in Ccr2−/− mice. Together, these results provide a mechanism through which CCL2, and other secreted molecules that signal through G-protein coupled receptors, can directly regulate synaptic transmission.
To Harvest or not to Harvest: Management Intensity did not Affect Greenhouse Gas Balances of Phalaris Arundinacea Paludiculture
Authors: Nielsen Claudia Kalla , Liu Weier , Koppelgaard Michael , Laerke Poul Erik
Published: July 2024

The cultivation of flooding-tolerant grasses on wet or rewetted peatlands is a priority in climate change mitigation, balancing the trade-off between atmospheric decarbonisation and biomass production. However, effects of management intensities on greenhouse gas (GHG) emissions and the global warming potential (GWP) are widely unknown. This study assessed whether intensities of two and five annual harvest occurrences at fertilisation rates of 200 kg nitrogen ha− 1 yr− 1 affects GHG exchange dynamics compared to a ‘nature scenario’ with neither harvest nor fertilisation. Fluxes of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), using opaque and transparent chambers, were measured on a wet fen peatland with a mean water table depth of -10 cm below soil surface. Overall, no treatment effect was found on biomass yields and GHG emissions. Annual cumulative CH4 emissions were low, ranging between 0.3 and 0.5 t CO2-C eq ha− 1 yr− 1. Contrary to this, emissions of N2O were high, ranging between 1.1 and 1.5 t CO2-C eq ha− 1 yr− 1. For magnitudes of CH4 and N2O, soil moisture conditions and electrical peat properties were critical proxies. Atmospheric uptake of CO2 by net ecosystem exchange was higher for the treatments with management. However, this benefit was offset by the export of carbon in biomass compared to the treatment without management. In conclusion, the results highlighted a near-equal GWP in the range of 10.5–11.5 t CO2-C eq t ha− 1 yr− 1 for all treatments irrespectively of management. In a climate context, a restoration scenario but also intensive paludiculture practices were equal land-use options.
Aspirin Desensitization in Treatment of Chronic Rhinosinusitis with Nasal Polyposis: Current Protocols and Evidence
Authors: Thiagarajan Kavitha , Anderson Lorraine
Published: July 2024

Purpose of Review

Aspirin-exacerbated respiratory disease (AERD), or NSAID-exacerbated respiratory disease (NERD), is a heterogeneous inflammatory syndrome characterized by Samter’s clinical triad of chronic rhinosinusitis with nasal polyposis (CRSwNP), asthma, and nonallergic hypersensitivity to all cyclooxygenase-1 (COX-1) inhibiting NSAIDs. This review focuses on randomized controlled trials and meta-analyses published on the clinical efficacy of aspirin therapy in AERD/NERD, as well as recent works published to explore the current outpatient ASA desensitization protocols in the US.

Recent Findings

Many AERD/NERD patients fail first-line therapies for treatment of asthma and CRSwNP and often need repeated sinus surgeries and frequent courses of oral corticosteroids to control symptoms. While COX-1 inhibiting NSAIDs are known to cause exacerbations in AERD/NERD, aspirin desensitization followed by maintenance oral high-dose aspirin therapy is proven to modulate the inflammatory cascade and has become a well-established treatment for most AERD/NERD patients. However, biologics are an emerging treatment option for pediatric patients and patients who are not candidates for aspirin desensitization.

Aspirin therapy after desensitization is beneficial for the majority of patients; however, the benefits, adverse effects, patient comorbidities, patient preferences, and all available treatment options must be considered in selecting an individualized treatment plan to address AERD/NERD.
Contextualizing Help-Seeking Attitudes and Help-Seeking Intention: The Role of Superwoman Schema among Black College Women
Authors: Nelson Tamara , Gebretensay Samrawit B. , Sellers Andrea M. , Moreno Oswaldo
Published: July 2024

Black women are less likely to seek psychological help and underutilize mental health services. Although help-seeking attitudes and intentions are associated in the general population, less is known about this relationship among Black women in college. In this cross-sectional study, we investigated the relationship between help-seeking attitudes and intention among 167 self-identified Black women in college. We also investigated if dimensions of the Superwoman Schema (i.e., an obligation to display strength, resistance to being vulnerable, an obligation to suppress emotions, an intense motivation to succeed despite limited resources, and an obligation to help others) moderated this relationship. Findings indicated a significant positive relationship between help-seeking attitudes and help-seeking intention. Regarding moderation, an obligation to suppress emotions, resistance to vulnerability, and an obligation to help others interacted with help-seeking attitudes in predicting help-seeking intention. Notably, low adherence to an obligation to suppress emotions, resistance to vulnerability, and an obligation to help others were associated with high levels of help-seeking intention. However, more favorable help-seeking attitudes improved help-seeking intention for participants high in adherence to these dimensions. Our findings suggest that understanding the relevance of the Superwoman Schema among Black women is critical for increasing help-seeking behavior.
The influence of the rolling method on cold forming ability of explosive welded Ti/steel sheets
Authors: Motyka Maciej , Mróz Sebastian , Więckowski Wojciech , Stefanik Andrzej , Ziaja Waldemar , Poręba Marek , Adamus Janina
Published: July 2024

Products made of clad sheets are a cost-effective alternative to products made entirely of cladding material. The cladding process aims to enhance functional properties, such as corrosion resistance and tribological properties, or modify mechanical properties and conductivity. This publication analyzes the influence of the rolling method on the cold forming ability of explosive welded Ti/steel sheets. Special attention was paid to the quality of the connection between the sheets, as it significantly impacts clad sheet formability. The drawability of these clad sheets was assessed based on the mechanical and technological properties, as well as through microstructural analyses. Experimental analyses revealed that hot rolling of the clad leads to the disappearance of the wave character of the interface and formation in its area of the Frenkel plane and interface layer, which significantly affect the mechanical and technological properties of the analyzed clad. Better cold forming ability, especially in reverse bend test, were obtained for asymmetrically rolled clad, which exhibits greater uniformity of structure.
Existence of Regular Solutions for a Class of Incompressible Non-Newtonian MHD Equations Coupled to the Heat Equation
Authors: Su Rina , Wang Changjia
Published: July 2024

We consider a system of PDE’s describing the steady flow of an electrically conducting fluid in the presence of a magnetic field. The system of governing equations composes of the stationary non-Newtonian incompressible MHD equations coupled to the heat equation wherein the influence of buoyancy is taken into account in the momentum equation and the Joule heating and viscous heating terms are included. We proved the existence of

$$C^{1,\gamma }({\bar{\Omega }})\times W^{2,r}(\Omega )\times W^{2,2}{(\Omega )}$$

C

1
,
γ

(

Ω

¯

)

×

W

2
,
r

(
Ω
)

×

W

2
,
2

(
Ω
)

solutions of the systems for

$$1< p<2$$

1
<
p
<
2

corresponding to a small data and we show that this solution is unique in case

$$6/5< p < 2$$

6
/
5
<
p
<
2

. Moreover, we also proved the higher regularity properties of this solution.
Improving deep metric learning via self-distillation and online batch diffusion process
Authors: Zeng Zelong , Yang Fan , Liu Hong , Satoh Shin’ichi
Published: July 2024

Currently, deep metric learning (DML) methods typically rely on class labels to keep positive samples as closely clustered as possible, while distancing them from negative samples. However, this approach tends to disregard some vital information inherent in the data, such as intra-class information variation, which can hinder the generalization of the trained model. To address this issue, we propose an online batch diffusion-based self-distillation method (OBD-SD), which consists of a progressive self-distillation (PSD) technique and an online batch diffusion process (OBDP). Specifically, PSD is a simple yet effective self-distillation technique that is beneficial for the diversity of embedding representations. OBDP uses the diffusion process to reveal the intrinsic relationships among samples in the mini-batch and produce better soft distance targets. Our approach combines PSD with OBDP, which can extract richer relational information among samples by capturing the local geometric structure of manifolds in each mini-batch. OBD-SD is a highly flexible framework that can be integrated into state-of-the-art DML methods. Our experimental results on CUB200, CARS196, and Stanford Online Products datasets demonstrate that our OBD-SD consistently enhances the performance of existing DML methods, without requiring additional training time, resulting in competitive results.
Prophecy and the Gift of Tongues
Authors: Tugwell Simon
Published: July 2024

‘If you have faith’, St Cyril of Jerusalem tells his catechumens, ‘you won’t only receive remission of your sins, you’ll also do things beyond the power of man. Please God, you’ll receive the gift of prophecy.’

In the previous two articles, we have been dissecting the Pente-costal doctrine of ‘baptism in the Spirit’, and concluded that the strict New Testament teaching is that the experience and the manifestation of the Spirit belong to sacramental baptism. However, even in the New Testament there is the puzzling case of the Samaritan converts who were baptized but didn’t receive the Spirit (which means, for Luke, simply that they did not show any visible sign of the Spirit; we should not interpolate Pauline considerations into the story). So spiritual writers of east and west have always had to allow that, all too often, baptized Christians live and feel as though they were still living under the Law, before the coming of faith.
In vitro maturation of oocytes in light of ovarian mitochondrial improvement: effectiveness and safety
Authors: Petrogiannis Nikos , Chatzovoulou Kalliopi , Filippa Maria , Grimbizis Grigoris , Kolibianakis Efstratios , Chatzimeletiou Katerina
Published: July 2024

In vitro maturation of oocytes (IVM) represents an assisted reproductive technique that involves the minimal or absence of ovarian stimulation and is beneficial to specific groups of patients. These may include women with polycystic ovarian syndrome and/or patients who need a fertility preservation option before undergoing gonadotoxic treatment. However, when IVM is applied in cases where it is not recommended, it can be considered as an add-on technique, as described by the ESHRE Guideline Group on Female Fertility Preservation. Interestingly, IVM has not been proven yet to be as effective as conventional IVF in the laboratory, in terms of clinical pregnancy and live birth rates, while concerns have been raised for its long-term safety. As a result, both safety and efficacy of IVM remain still questionable and additional data are needed to draw conclusions.
Suicide Following a Near-Death Experience
Authors: King Robert A.
Published: July 2024

Abstract: Background: Sometimes during real or presumed life-threatening and/or near-death circumstances, an individual undergoes an altered state of consciousness referred to as a near-death experience (NDE). The prevalent position in the field of NDE research for the last several decades has been that such experiences result in positive antisuicidal attitudes and that it is highly unlikely that experients will try to kill themselves afterward. In addition, the important consideration of passive suicidal ideation is neglected in NDE research. Aims: To question the premature assumption that people are highly unlikely to die by suicide after an NDE. Method: Four case studies of suicide after an NDE are provided and examined. Results: Although important quantitative data are still needed, it can no longer be argued that people do not die by suicide after an NDE. Limitations: Only four cases were available for examination, and the degree of impact that the NDE had on their suicide is uncertain. Conclusion: Much more research is needed on suicide risk post NDE. In the meantime, the NDE should not be ignored in suicide assessments, but therapists and other relevant professionals need to be attentive to any possible indications of either active or passive suicidal ideation post NDE.
Justifying Responses Affects the Relationship Between Confidence and Accuracy
Authors: Wright Daniel B. , Wolff Sarah M.
Published: July 2024

Abstract: How confident a student is about how they answer a question has important education implications. Participants answered 10 mathematics questions and provided their estimates of how likely they got each individual item correct and how many, in total, they answered correctly. They were overconfident in these metacognitive judgments. Some of the participants were asked to justify why their answers were either correct or incorrect prior to making these judgments. This lowered their confidence ratings. They were still overconfident, but less than those in the control group. The instruction also affected the association between the confidence ratings and accuracy. No differences were observed between those asked to justify why their responses were correct versus those asked to justify why their responses were incorrect. Those asked to think about the accuracy of a response had lower confidence. This has important implications for understanding how we construct confidence judgments and within education how student confidence can be affected during assessments.
The Response of the Magnetosphere to Changes in the Solar Wind Dynamic Pressure: 2. Ion and Electron Kappa Distribution Functions
Authors: Eyelade A. V. , Stepanova M. , Espinoza C. M. , Antonova E. E. , Kirpichev I. P.
Published: July 2024

The Earth's magnetosphere is filled with a collisionless plasma that exhibits non‐Maxwellian particle distributions which are well described by Kappa functions. In contrast to the Maxwellian, the Kappa contains not only density and temperature but also the kappa index that allows us to characterize the energetic tails. In this study, we analyze the response of the ion and electron Kappa distributions, obtained by fitting ion and electron fluxes measured by the five THEMIS satellites, to changes of the solar wind dynamic pressure. It was found that the solar wind dynamic pressure strongly affects the values of the kappa index, and that its impact depends on the magnetic local time (MLT). In particular, there is a significant dawn‐dusk asymmetry for low PSW values which is enhanced in the night side. Further, we observe a narrow partial ring‐shaped structure at different azimuthal extension that divides the plasma into two clearly defined domains. The results obtained reflect the global reconfiguration of the magnetosphere caused by variations of the solar wind dynamic pressure. Kappa distribution parameters and their average values for different ranges of PSW and MLT are provided, which we believe will contribute as realistic inputs to the modeling of the magnetosphere.
The Influence of Space Traffic on AIM/CIPS PMC Frequencies at 80°N
Authors: Mukherjee Shourya , Stevens Michael H. , Randall Cora E. , Harvey V. Lynn , Bailey Scott M. , Carstens Justin N. , Lumpe Jerry D.
Published: July 2024

We explore the effects of lower thermospheric water vapor deposited by launch vehicle plumes on polar mesospheric cloud (PMC) frequencies at 80°N. We use July‐averaged PMC frequencies from 2007 to 2022 from the Cloud Imaging and Particle Size (CIPS) instrument on NASA's Aeronomy of Ice in the Mesosphere (AIM) satellite. Launch sites worldwide are typically located near northern mid‐latitudes. Using the orbital launch record for the same time period, we find that the number of launches correlates with PMC frequencies with a coefficient of r = 0.60, which increases to r = 0.75 when only selecting launches from 2.5 to 21.5 local time (LT), indicating a weak LT dependence on global‐scale transport to 80°N. To support our findings, we use meridional winds from the Michelson Interferometer for Global High‐resolution Imaging experiment on NASA's Ionospheric Connection Explorer satellite and winds from the Horizontal Wind Model climatology to interpret the northward motion of air parcels at 105 km. We find the launch LT window that maximizes the correlation coefficient to be consistent with the expected maximum northward motion from the diurnal variation of mid‐latitude meridional winds. Comparisons with Microwave Limb Sounder satellite observations of upper mesospheric temperature and water vapor reveal a strong dependence of cloud frequency on water vapor (r = 0.86) but not on temperature (r = −0.26), indicating that water vapor is the primary source of PMC variability for the bright PMCs at 80°N. We therefore find that launch vehicle plumes originating primarily from northern mid‐latitudes modulate PMC frequency at 80°N in July.
Identification of novel genetic loci and candidate genes for progressive ethanol consumption in diversity outbred mice
Authors: Mignogna Kristin M. , Tatom Zachary , Macleod Lorna , Sergi Zachary , Nguyen Angel , Michenkova Marie , Smith Maren L. , Miles Michael F.
Published: July 2024

Mouse behavioral genetic mapping studies can identify genomic intervals modulating complex traits under well-controlled environmental conditions and have been used to study ethanol behaviors to aid in understanding genetic risk and the neurobiology of alcohol use disorder (AUD). However, historically such studies have produced large confidence intervals, thus complicating identification of potential causal candidate genes. Diversity Outbred (DO) mice offer the ability to perform high-resolution quantitative trait loci (QTL) mapping on a very genetically diverse background, thus facilitating identification of candidate genes. Here, we studied a population of 636 male DO mice with four weeks of intermittent ethanol access via a three-bottle choice procedure, producing a progressive ethanol consumption phenotype. QTL analysis identified 3 significant (Chrs 3, 4, and 12) and 13 suggestive loci for ethanol-drinking behaviors with narrow confidence intervals (1–4 Mbp for significant QTLs). Results suggested that genetic influences on initial versus progressive ethanol consumption were localized to different genomic intervals. A defined set of positional candidate genes were prioritized using haplotype analysis, identified coding polymorphisms, prefrontal cortex transcriptomics data, human GWAS data and prior rodent gene set data for ethanol or other misused substances. These candidates included Car8, the lone gene with a significant cis-eQTL within a Chr 4 QTL for week four ethanol consumption. These results represent the highest-resolution genetic mapping of ethanol consumption behaviors in mice to date, providing identification of novel loci and candidate genes for study in relation to the neurobiology of AUD.
Enhanced decision technique for optimized crude oil pretreatment under disc spherical fuzzy Aczel Alsina aggregation information
Authors: Ahmad Qazi Adnan , Ashraf Shahzaib , Iqbal Wania , Qiang Ma Li
Published: July 2024

Crude oil, the backbone of modern industry, holds unparalleled significance as a global energy cornerstone. Unlocking its potential hinges on effective pretreatment techniques, ensuring purity, and maximizing efficiency. This study extends the established Spherical Fuzzy Set paradigm to explore the domain of Disc Spherical Fuzzy Sets (D-SFSs) in critical decision-making for crude oil preparation. Investigating D-SFSs within the Aczel Alsina norm, the research employs comparison rules, conversion rules, and distance metrics. Primary operations of the Aczel Alsina norm in D-SFSs are examined, laying the groundwork for introducing unique aggregation operations within this framework. The paper’s primary aim is to propose a hybrid method, termed MEREC-SWARA-MARCOS-D-SFSs Multiple Attribute Group Decision Making, which integrates the aforementioned aggregation procedures. A case study on crude oil pretreatment validates the effectiveness of the proposed method. Furthermore, a comprehensive comparison with CoCoSo underscores the reliability of the method. This study represents a significant stride in enhancing decision-making by providing a robust framework to tackle complex situations, particularly in the critical domain of crude oil pretreatment.
An exploratory study on lipidomic profiles in a cohort of individuals with posttraumatic stress disorder
Authors: Bhargava Aditi , Knapp Johannes D. , Fiehn Oliver , Neylan Thomas C. , Inslicht Sabra S.
Published: July 2024

Posttraumatic stress disorder (PTSD) can develop after trauma exposure. Some studies report that women develop PTSD at twice the rate of men, despite greater trauma exposure in men. Lipids and their metabolites (lipidome) regulate a myriad of key biological processes and pathways such as membrane integrity, oxidative stress, and neuroinflammation in the brain by maintaining neuronal connectivity and homeostasis. In this study, we analyzed the lipidome of 40 adults with PTSD and 40 trauma-exposed non-PTSD individuals (n = 20/sex/condition; 19–39 years old). Plasma samples were analyzed for lipidomics using Quadrupole Time-of-Flight (QToF) mass spectrometry. Additionally, ~ 90 measures were collected, on sleep, and mental and physical health indices. Poorer sleep quality was associated with greater PTSD severity in both sexes. The lipidomics analysis identified a total of 348 quantifiable known lipid metabolites and 1951 lipid metabolites that are yet unknown; known metabolites were part of 13 lipid subclasses. After adjusting for BMI and sleep quality, in women with PTSD, only one lipid subclass, phosphatidylethanolamine (PE) was altered, whereas, in men with PTSD, 9 out of 13 subclasses were altered compared to non-PTSD women and men, respectively. Severe PTSD was associated with 22% and 5% of altered lipid metabolites in men and women, respectively. Of the changed metabolites, only 0.5% measures (2 PEs and cholesterol) were common between women and men with PTSD. Several sphingomyelins, PEs, ceramides, and triglycerides were increased in men with severe PTSD. The correlations between triglycerides and ceramide metabolites with cholesterol metabolites and systolic blood pressure were dependent upon sex and PTSD status. Alterations in triglycerides and ceramides are linked with cardiac health and metabolic function in humans. Thus, disturbed sleep and higher body mass may have contributed to changes in the lipidome found in PTSD.
Characteristics of deformation and damage of surrounding rock along the top roadway in the working face of an isolated island and its evolution law
Authors: Yun Qing-Long , Wang Xiao-He , Jing Wu , Zhang Wen-Bo , Wei Xiao-Xiang , Wang Jiang-Hao
Published: July 2024

This study investigates the deformation and damage characteristics of the surrounding rock along the top return mining roadway of an isolated island working face at different stages and reveals its damage mechanism and evolution law. Utilizing a mine in Yangquan City, Shanxi Province, China, as the engineering background, this research employs FLAC 3D numerical simulation and on-site measurements. The findings suggest that the evolution of the plastic zone along the top roadway of the 15,106 island face is largely similar during both the excavation and mining periods. The plastic zones on either side of the roadway are expanding asymmetrically and gradually merging into the plastic zone of the coal pillar. In the destructive stage, the sub-gangs of the roadway are penetrated, indicating the progression into the plastic zone. The investigation points to extensive damage on the larger side of the roadway, the development of fissures, and the significant depth of damage as primary causes of roadway deformation. Moreover, the extent of the plastic zones on both sides of the roadway correlates positively with their relative distance. Continuous monitoring reveals an ongoing increase in roadway displacement, consistent with general observations in coal mining. The results provide valuable insights for optimizing support structures in similar mining environments.
Motor-sensory biases are associated with cognitive and social abilities in humans
Authors: Donati Georgina , Edginton Trudi , Bardo Ameline , Kivell Tracy L. , Ballieux Haiko , Stamate Cosmin , Forrester Gillian S.
Published: July 2024

Across vertebrates, adaptive behaviors, like feeding and avoiding predators, are linked to lateralized brain function. The presence of the behavioral manifestations of these biases are associated with increased task success. Additionally, when an individual’s direction of bias aligns with the majority of the population, it is linked to social advantages. However, it remains unclear if behavioral biases in humans correlate with the same advantages. This large-scale study (N = 313–1661, analyses dependent) examines whether the strength and alignment of behavioral biases associate with cognitive and social benefits respectively in humans. To remain aligned with the animal literature, we evaluate motor-sensory biases linked to motor-sequencing and emotion detection to assess lateralization. Results reveal that moderate hand lateralization is positively associated with task success and task success is, in turn, associated with language fluency, possibly representing a cascade effect. Additionally, like other vertebrates, the majority of our human sample possess a ‘standard’ laterality profile (right hand bias, left visual bias). A ‘reversed’ profile is rare by comparison, and associates higher self-reported social difficulties and increased rate of autism and/or attention deficit hyperactivity disorder. We highlight the importance of employing a comparative theoretical framing to illuminate how and why different laterization profiles associate with diverging social and cognitive phenotypes.
Rapid diagnosis of celiac disease based on plasma Raman spectroscopy combined with deep learning
Authors: Shi Tian , Li Jiahe , Li Na , Chen Cheng , Chen Chen , Chang Chenjie , Xue Shenglong , Liu Weidong , Reyim Ainur Maimaiti , Gao Feng , Lv Xiaoyi
Published: July 2024

Celiac Disease (CD) is a primary malabsorption syndrome resulting from the interplay of genetic, immune, and dietary factors. CD negatively impacts daily activities and may lead to conditions such as osteoporosis, malignancies in the small intestine, ulcerative jejunitis, and enteritis, ultimately causing severe malnutrition. Therefore, an effective and rapid differentiation between healthy individuals and those with celiac disease is crucial for early diagnosis and treatment. This study utilizes Raman spectroscopy combined with deep learning models to achieve a non-invasive, rapid, and accurate diagnostic method for celiac disease and healthy controls. A total of 59 plasma samples, comprising 29 celiac disease cases and 30 healthy controls, were collected for experimental purposes. Convolutional Neural Network (CNN), Multi-Scale Convolutional Neural Network (MCNN), Residual Network (ResNet), and Deep Residual Shrinkage Network (DRSN) classification models were employed. The accuracy rates for these models were found to be 86.67%, 90.76%, 86.67% and 95.00%, respectively. Comparative validation results revealed that the DRSN model exhibited the best performance, with an AUC value and accuracy of 97.60% and 95%, respectively. This confirms the superiority of Raman spectroscopy combined with deep learning in the diagnosis of celiac disease.
MUC16 as a serum-based prognostic indicator of prometastatic gastric cancer
Authors: Lee Jieun , Lee Sang Wook , Kang So Hyun , Seol Donghyeok , Yoo Mira , Hwang Duyeong , Lee Eunju , Park Young Suk , Ahn Sang-Hoon , Suh Yun-Suhk , Park Kyoung Un , Kwon Nak-Jung , Kim Hyung-Ho
Published: July 2024

Metastatic gastric cancer (GC) presents significant clinical challenges due to its poor prognosis and limited treatment options. To address this, we conducted a targeted protein biomarker discovery study to identify markers predictive of metastasis in advanced GC (AGC). Serum samples from 176 AGC patients (T stage 3 or higher) were analyzed using the Olink Proteomics Target panels. Patients were retrospectively categorized into nonmetastatic, metastatic, and recurrence groups, and differential protein expression was assessed. Machine learning and gene set enrichment analysis (GSEA) methods were applied to discover biomarkers and predict prognosis. Four proteins (MUC16, CAIX, 5’-NT, and CD8A) were significantly elevated in metastatic GC patients compared to the control group. Additionally, GSEA indicated that the response to interleukin-4 and hypoxia-related pathways were enriched in metastatic patients. Random forest classification and decision-tree modeling showed that MUC16 could be a predictive marker for metastasis in GC patients. Additionally, ELISA validation confirmed elevated MUC16 levels in metastatic patients. Notably, high MUC16 levels were independently associated with metastatic progression in T3 or higher GC. These findings suggest the potential of MUC16 as a clinically relevant biomarker for identifying GC patients at high risk of metastasis.
Intestinal organoids to model Salmonella infection and its impact on progenitors
Authors: Yan Jin , Racaud-Sultan Claire , Pezier Tiffany , Edir Anissa , Rolland Corinne , Claverie Coralie , Burlaud-Gaillard Julien , Olivier Michel , Velge Philippe , Lacroix-Lamandé Sonia , Vergnolle Nathalie , Wiedemann Agnès
Published: July 2024

In order to survive and replicate, Salmonella has evolved mechanisms to gain access to intestinal epithelial cells of the crypt. However, the impact of Salmonella Typhimurium on stem cells and progenitors, which are responsible for the ability of the intestinal epithelium to renew and protect itself, remains unclear. Given that intestinal organoids growth is sustained by stem cells and progenitors activity, we have used this model to document the effects of Salmonella Typhimurium infection on epithelial proliferation and differentiation, and compared it to an in vivo model of Salmonella infection in mice. Among gut segments, the caecum was preferentially targeted by Salmonella. Analysis of infected crypts and organoids demonstrated increased length and size, respectively. mRNA transcription profiles of infected crypts and organoids pointed to upregulated EGFR-dependent signals, associated with a decrease in secretory cell lineage differentiation. To conclude, we show that organoids are suited to mimic the impact of Salmonella on stem cells and progenitors cells, carrying a great potential to drastically reduce the use of animals for scientific studies on that topic. In both models, the EGFR pathway, crucial to stem cells and progenitors proliferation and differentiation, is dysregulated by Salmonella, suggesting that repeated infections might have consequences on crypt integrity and further oncogenesis.
Correlation between bone mineral density and type 2 diabetes mellitus in elderly men and postmenopausal women
Authors: Luo Wei , Li Xingzhi , Zhou Yao , Xu Dan , Qiao Yan
Published: July 2024

The relationship between bone mineral density and type 2 diabetes is still controversial. The aim of this study is to investigate the relationship between type 2 diabetes mellitus (T2DM) and bone mineral density (BMD) in elderly men and postmenopausal women. The participants in this study included 692 postmenopausal women and older men aged ≥ 50 years, who were divided into the T2DM group and non-T2DM control group according to whether or not they had T2DM. The data of participants in the two groups were collected from the inpatient medical record system and physical examination center systems, respectively, of the Tertiary Class A Hospital. All data analysis is performed in SPSS Software. Compared with all T2DM group, the BMD and T scores of lumbar spines 1–4 (L1–L4), left femoral neck (LFN) and all left hip joints (LHJ) in the non-T2DM group were significantly lower than those in the T2DM group (P < 0.05), and the probability of major osteoporotic fracture in the next 10 years (PMOF) was significantly higher than that in T2DM group (P < 0.001). However, with the prolongation of the course of T2DM, the BMD significantly decreased, while fracture risk and the prevalence of osteoporosis significantly increased (P < 0.05). We also found that the BMD of L1-4, LFN and LHJ were negatively correlated with homeostatic model assessment-insulin resistance (HOMA-IR) (P = 0.028, P = 0.01 and P = 0.047, respectively). The results also showed that the BMD of LHJ was positively correlated with indirect bilirubin (IBIL) (P = 0.018). Although the BMD was lower in the non-T2DM group than in the T2DM group, the prolongation of the course of T2DM associated with the lower BMD. And the higher prevalence of osteoporosis and fracture risk significantly associated with the prolongation of the course of T2DM. In addition, BMD was significantly associated with insulin resistance (IR) and bilirubin levels in T2DM patients.

Registration number: China Clinical Trials Registry: MR-51-23-051741; https://www.medicalresearch.org.cn/search/research/researchView?id=c0e5f868-eca9-4c68-af58-d73460c34028.
Physics-informed neural network simulation of thermal cavity flow
Authors: Fowler Eric , McDevitt Christopher J. , Roy Subrata
Published: July 2024

Physics-informed neural networks (PINNs) are an emerging technology that can be used both in place of and in conjunction with conventional simulation methods. In this paper, we used PINNs to perform a forward simulation without leveraging known data. Our simulation was of a 2D natural convection-driven cavity using the vorticity-stream function formulation of the Navier-Stokes equations. We used both 2D simulations across thexandzdomains at constant Rayleigh (Ra) numbers and 3D simulations across thex,zandRadomains. The 3D simulation was tested for a PINN’s ability to learn solutions in a higher-dimensional space than standard simulations. The results were validated against published solutions atRavalues of 10$$^{3}$$3, 10$$^{4}$$4, 10$$^{5}$$5, and 10$$^{6}$$6. Both the 2D simulations and 3D simulations successfully matched the expected results. For the 2D cases, more training iterations were needed for the model to converge at higherRavalues (10$$^5$$5and 10$$^6$$6) than at lowerRa(10$$^3$$3and 10$$^4$$4) indicating increased nonlinear fluid-thermal coupling. The 3D case was also able to converge but, but it required more training than any of the 2D cases due to the curse of dimensionality. These results showed the validity of standard simulations via PINNs and the feasibility of higher-order parameter space solutions that are not possible using conventional methods. They also showcased the additional computational demand associated with increasing the dimensionality of the learned parameter space.