bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implications of a Simpson–Visser solution in Verlinde’s framework
Authors: Filho A. A. Araújo 
Published: January 2024

AbstractThis study focuses on investigating a regular black hole within the framework of Verlinde’s emergent gravity. In particular, we explore the main aspects of the modified Simpson–Visser solution. Our analysis reveals the presence of a unique physical event horizon under certain conditions. Moreover, we study the thermodynamic properties, including theHawkingtemperature, the entropy, and the heat capacity. Based on these quantities, our results indicate several phase transitions. Geodesic trajectories for photon-like particles, encompassing photon spheres and the formation of black hole shadows, are also calculated to comprehend the behavior of light in the vicinity of the black hole. Additionally, we also provide the calculation of the time delay and the deflection angle. Corroborating our results, we include an additional application in the context of high-energy astrophysical phenomena: neutrino energy deposition. Finally, we investigate the quasinormal modes using third-order WKB approximation.
Stochastic gravitational wave background from the collisions of dark matter halos
Authors: Yan Qiming , Ren Xin , Zhao Yaqi , Saridakis Emmanuel N. 
Published: January 2024

AbstractWe investigate the effect of the dark matter (DM) halos collisions, namely collisions of galaxies and galaxy clusters, through gravitational bremsstrahlung, on the stochastic gravitational wave background. We first calculate the gravitational wave signal of a single collision event, assuming point masses and linear perturbation theory. Then we proceed to the calculation of the energy spectrum of the collective effect of all dark matter collisions in the Universe. Concerning the DM halo collision rate, we show that it is given by the product of the number density of DM halos, which is calculated by the extended Press–Schechter (EPS) theory, with the collision rate of a single DM halo, which is given by simulation results, with a function of the linear growth rate of matter density through cosmological evolution. Hence, integrating over all mass and distance ranges, we finally extract the spectrum of the stochastic gravitational wave background created by DM halos collisions. As we show, the resulting contribution to the stochastic gravitational wave background is of the order of$$h_{c} \approx 10^{-29}$$hc≈10-29in the band of$$f \approx 10^{-15} Hz$$f≈10-15Hz. However, in very low frequency band, it is larger. With current observational sensitivity it cannot be detected.
Efficient passive GDQLL scrutinization of an advanced steady EMHD mixed convective nanofluid flow problem via Wakif–Buongiorno approach and generalized transport laws
Authors: Alghamdi Metib , Wakif Abderrahim , Muhammad Taseer 
Published: January 2024

Owing to the practical importance of nanofluids and their adjustable thermal capabilities, this study intends to develop a robust generalized differential quadrature local linearization (GDQLL) algorithm for examining realistically the heat and mass aspects of electrically conducting nanofluids during their non-Darcian laminar motion nearby a convectively heating vertical surface of an active electromagnetic actuator (i.e., Riga plate). By invoking Wakif–Buongiorno model and Oberbeck–Boussinesq approximations along with other generalized transport laws (i.e., Cattaneo–Christov and non-Fick’s laws) and Grinberg’s concept, a set of gigantic partial differential equations is stated appropriately in the sense of the boundary layer approximations for describing exhaustively the present EMHD mixed convective nonhomogeneous flow under the passive control strategy of nanoparticles within the nanofluidic medium. Operationally, the dimensionless differential forms of the governing boundary equations are derived properly by introducing reasonable mathematical adjustments into the preliminary formulation. In this case, the differential complexity of the leading differential structure is reduced to a nonlinear coupled system of ordinary differential equations, whose discrete numerical solutions are computed perfectly via a well-structured GDQLL algorithm. As foremost outcomes, it is demonstrated that the nanofluid motion and its surface thermal enhancement rate can be reinforced significantly through the thermal strengthening in the convective heating and mixed convective process as well as via the electromagnetic improvement in the driven aspect of Lorentz’s forces.
Quantum spin Hall effect and emergence of conducting edge states in silicene supported by MX (M=Ga, In; X=S, Se, Te) monolayer
Authors: Mondal Shahnewaz , Chandra Hirak Kumar , Gupta Bikash Chandra 
Published: January 2024

The electronic structure of silicene supported by monolayer of different monochalcogenide MX (GaS, GaSe, GaTe and InSe) substrates has been investigated by first principle density functional theory. By calculating the formation energies and phonons, it has been seen that silicene supported by monolayer of MX remains stable. The systems retain their almost [Formula: see text] planner configurations with small buckling as that of the free standing silicene and also the Bader charge analysis shows that silicene hardly interacts with any of the MX substrates. The Dirac cone with a small gap ([Formula: see text] [Formula: see text]meV) has been observed in each of the cases. All the systems show quantum spin Hall effect and the quantum spin Hall conductivities have been estimated to be within the range [Formula: see text]S/cm, which are larger than that of the free standing silicene. Our calculations show that even if the systems have bulk band gaps but the edge states are conducting in nature.
A Bioinformatics Tool for Identifying Intratumoral Microbes from the ORIEN Dataset
Authors: Wang Cankun , Ma Anjun , Li Yingjie , McNutt Megan E. , Zhang Shiqi , Zhu Jiangjiang , Hoyd Rebecca , Wheeler Caroline E. , Robinson Lary A. , Chan Carlos H.F. , Zakharia Yousef , Dodd Rebecca D. , Ulrich Cornelia M. , Hardikar Sheetal , Churchman Michelle L. , Tarhini Ahmad A. , Singer Eric A. , Ikeguchi Alexandra P. , McCarter Martin D. , Denko Nicholas , Tinoco Gabriel , Husain Marium , Jin Ning , Osman Afaf E.G. , Eljilany Islam , Tan Aik Choon , Coleman Samuel S. , Denko Louis , Riedlinger Gregory , Schneider Bryan P. , Spakowicz Daniel , Ma Qin ,   the exORIEN Consortium
Published: January 2024

AbstractEvidence supports significant interactions among microbes, immune cells, and tumor cells in at least 10%–20% of human cancers, emphasizing the importance of further investigating these complex relationships. However, the implications and significance of tumor-related microbes remain largely unknown. Studies have demonstrated the critical roles of host microbes in cancer prevention and treatment responses. Understanding interactions between host microbes and cancer can drive cancer diagnosis and microbial therapeutics (bugs as drugs). Computational identification of cancer-specific microbes and their associations is still challenging due to the high dimensionality and high sparsity of intratumoral microbiome data, which requires large datasets containing sufficient event observations to identify relationships, and the interactions within microbial communities, the heterogeneity in microbial composition, and other confounding effects that can lead to spurious associations. To solve these issues, we present a bioinformatics tool, microbial graph attention (MEGA), to identify the microbes most strongly associated with 12 cancer types. We demonstrate its utility on a dataset from a consortium of nine cancer centers in the Oncology Research Information Exchange Network. This package has three unique features: species-sample relations are represented in a heterogeneous graph and learned by a graph attention network; it incorporates metabolic and phylogenetic information to reflect intricate relationships within microbial communities; and it provides multiple functionalities for association interpretations and visualizations. We analyzed 2,704 tumor RNA sequencing samples and MEGA interpreted the tissue-resident microbial signatures of each of 12 cancer types. MEGA can effectively identify cancer-associated microbial signatures and refine their interactions with tumors.Significance:Studying the tumor microbiome in high-throughput sequencing data is challenging because of the extremely sparse data matrices, heterogeneity, and high likelihood of contamination. We present a new deep learning tool, MEGA, to refine the organisms that interact with tumors.
Catheterization for Congenital Heart Disease Adjustment for Risk Method II
Authors: Quinn Brian P. , Gunnelson Lauren C. , Kotin Sarah G. , Gauvreau Kimberlee , Yeh Mary J. , Hasan Babar , Lozier John , Barry Oliver M. , Shahanavaz Shabana , Batlivala Sarosh P. , Salavitabar Arash , Foerster Susan , Goldstein Bryan , Divekar Abhay , Holzer Ralf , Nicholson George T. , O’Byrne Michael L. , Whiteside Wendy , Bergersen Lisa 
Published: January 2024

BACKGROUND:
Current metrics used to adjust for case mix complexity in congenital cardiac catheterization are becoming outdated due to the introduction of novel procedures, innovative technologies, and expanding patient subgroups. This study aims to develop a risk adjustment methodology introducing a novel, clinically meaningful adverse event outcome and incorporating a modern understanding of risk.

METHODS:
Data from diagnostic only and interventional cases with defined case types were collected for patients ≤18 years of age and ≥2.5 kg at all Congenital Cardiac Catheterization Project on Outcomes participating centers. The derivation data set consisted of cases performed from 2014 to 2017, and the validation data set consisted of cases performed from 2019 to 2020. Severity level 3 adverse events were stratified into 3 tiers by clinical impact (3a/b/c); the study outcome was clinically meaningful adverse events, severity level ≥3b (3bc/4/5).

RESULTS:

The derivation data set contained 15 224 cases, and the validation data set included 9462 cases. Clinically meaningful adverse event rates were 4.5% and 4.2% in the derivation and validation cohorts, respectively. The final risk adjustment model included age <30 days, Procedural Risk in Congenital Cardiac Catheterization risk category, and hemodynamic vulnerability score (C statistic, 0.70; Hosmer-Lemeshow
P
value, 0.83; Brier score, 0.042).

CONCLUSIONS:
CHARM II (Congenital Heart Disease Adjustment for Risk Method II) risk adjustment methodology allows for equitable comparison of clinically meaningful adverse events among institutions and operators with varying patient populations and case mix complexity performing pediatric cardiac catheterization.
Sex Disparities in Longitudinal Use and Intensification of Guideline-Directed Medical Therapy Among Patients With Newly Diagnosed Heart Failure With Reduced Ejection Fraction
Authors: Sumarsono Andrew , Xie Luyu , Keshvani Neil , Zhang Chenguang , Patel Lajjaben , Alonso Windy W. , Thibodeau Jennifer T. , Fonarow Gregg C. , Van Spall Harriette G.C. , Messiah Sarah E. , Pandey Ambarish 
Published: January 2024

BACKGROUND:
Guideline-directed medical therapies (GDMTs) are the mainstay of treatment for heart failure with reduced ejection fraction (HFrEF), but they are underused. Whether sex differences exist in the initiation and intensification of GDMT for newly diagnosed HFrEF is not well established.

METHODS:
Patients with incident HFrEF were identified from the 2016 to 2020 Optum deidentified Clinformatics Data Mart Database, which is derived from a database of administrative health claims for members of large commercial and Medicare Advantage health plans. The primary outcome was the use of optimal GDMT within 12 months of HFrEF diagnosis. Consistent with the guideline recommendations during the time period of the study, optimal GDMT was defined as ≥50% of the target dose of evidence-based beta-blocker plus ≥50% of the target dose of angiotensin-converting enzyme inhibitor or angiotensin receptor blocker, or any dose of angiotensin receptor neprilysin inhibitor plus any dose of mineralocorticoid receptor antagonist. The probability of achieving optimal GDMT on follow-up and predictors of optimal GDMT were evaluated with time-to-event analysis with adjusted Cox proportional hazard models.

RESULTS:

The study cohort included 63 759 patients (mean age, 71.3 years; 15.2% non-Hispanic Black race; 56.6% male). Optimal GDMT use was achieved by 6.2% of patients at 12 months after diagnosis. Female (compared with male) patients with HFrEF had lower use across every GDMT class and lower use of optimal GDMT at each time point at follow-up. In an adjusted Cox model, female sex was associated with a 23% lower probability of achieving optimal GDMT after diagnosis (hazard ratio [HR], 0.77 [95% CI, 0.71–0.83];
P
<0.001). The sex disparities in GDMT use after HFrEF diagnosis were most pronounced among patients with commercial insurance (females compared with males; HR, 0.66 [95% CI, 0.58–0.76]) compared with Medicare (HR, 0.85 [95% CI, 0.77–0.92]);
P
interaction
sex×insurance status=0.005) and for younger patients (age <65 years: HR, 0.65 [95% CI, 0.58–0.74]) compared with older patients (age ≥65 years: HR, 87 [95% CI, 80–96])
P
interaction
sex×age=0.009).

CONCLUSIONS:
Overall use of optimal GDMT after HFrEF diagnosis was low, with significantly lower use among female (compared with male) patients. These findings highlight the need for implementation efforts directed at improving GDMT initiation and titration.
Kinase Scaffold Cab39 Is Necessary for Phospho-Activation of the Thiazide-Sensitive NCC
Authors: Ferdaus Mohammed Z. , Koumangoye Rainelli B. , Welling Paul A. , Delpire Eric 
Published: January 2024

BACKGROUND:
Potassium regulates the WNK (with no lysine kinase)-SPAK (STE20/SPS1-related proline/alanine-rich kinase) signaling axis, which in turn controls the phosphorylation and activation of the distal convoluted tubule thiazide-sensitive NCC (sodium-chloride cotransporter) for sodium-potassium balance. Although their roles in the kidney have not been investigated, it has been postulated that Cab39 (calcium-binding protein 39) or Cab39l (Cab39-like) is required for SPAK/OSR1 (oxidative stress response 1) activation. This study demonstrates how they control the WNK-SPAK/OSR1-NCC pathway.

METHODS:
We created a global knockout of Cab39l and a tamoxifen-inducible, NCC-driven, Cab39 knockout. The 2 lines were crossed to generate Cab39-DKO (Cab39 double knockout) animals. Mice were studied under control and low-potassium diet, which activates WNK-SPAK/OSR1-NCC phosphorylation. Western blots were used to assess the expression and phosphorylation of proteins. Blood and urine electrolytes were measured to test for compromised NCC function. Immunofluorescence studies were conducted to localize SPAK and OSR1.

RESULTS:
Both Cab39l and Cab39 are expressed in distal convoluted tubule, and only the elimination of both leads to a striking absence of NCC phosphorylation. Cab39-DKO mice exhibited a loss-of-NCC function, like in Gitelman syndrome. In contrast to the apical membrane colocalization of SPAK with NCC in wild-type mice, SPAK and OSR1 become confined to intracellular puncta in the Cab39-DKO mice.

CONCLUSIONS:
In the absence of Cab39 proteins, NCC cannot be phosphorylated, resulting in a Gitelman-like phenotype. Cab39 proteins function to localize SPAK at the apical membrane with NCC, reminiscent of the Cab39 yeast homolog function, translocating kinases during cytokinesis.
Stroke Alters the Function of Enteric Neurons to Impair Smooth Muscle Relaxation and Dysregulates Gut Transit
Authors: Kumar Kathryn Prame , Wilson Jenny L. , Nguyen Huynh , McKay Liam D. , Wen Shu Wen , Sepehrizadeh Tara , de Veer Michael , Rajasekhar Pradeep , Carbone Simona E. , Hickey Michael J. , Poole Daniel P. , Wong Connie H. Y. 
Published: January 2024

Background
Gut dysmotility is common after ischemic stroke, but the mechanism underlying this response is unknown. Under homeostasis, gut motility is regulated by the neurons of the enteric nervous system that control contractile/relaxation activity of muscle cells in the gut wall. More recently, studies of gut inflammation revealed interactions of macrophages with enteric neurons are also involved in modulating gut motility. However, whether poststroke gut dysmotility is mediated by direct signaling to the enteric nervous system or indirectly via inflammatory macrophages is unknown.

Methods and Results
We examined these hypotheses by using a clinically relevant permanent intraluminal midcerebral artery occlusion experimental model of stroke. At 24 hours after stroke, we performed in vivo and ex vivo gut motility assays, flow cytometry, immunofluorescence, and transcriptomic analysis. Stroke‐induced gut dysmotility was associated with recruitment of muscularis macrophages into the gastrointestinal tract and redistribution of muscularis macrophages away from myenteric ganglia. The permanent intraluminal midcerebral artery occlusion model caused changes in gene expression in muscularis macrophages consistent with an altered phenotype. While the size of myenteric ganglia after stroke was not altered, myenteric neurons from post–permanent intraluminal midcerebral artery occlusion mice showed a reduction in neuronal nitric oxide synthase expression, and this response was associated with enhanced intestinal smooth muscle contraction ex vivo. Finally, chemical sympathectomy with 6‐hydroxydopamine prevented the loss of myenteric neuronal nitric oxide synthase expression and stroke‐induced slowed gut transit.

Conclusions
Our findings demonstrate that activation of the sympathetic nervous system after stroke is associated with reduced neuronal nitric oxide synthase expression in myenteric neurons, resulting in impaired smooth muscle relaxation and dysregulation of gut transit.
Alpha-band Brain Dynamics and Temporal Processing: An Introduction to the Special Focus
Authors: Samaha Jason , Romei Vincenzo 
Published: January 2024

Abstract
For decades, the intriguing connection between the human alpha rhythm (an 8- to 13-Hz oscillation maximal over posterior cortex) and temporal processes in perception has furnished a rich landscape of proposals. The past decade, however, has seen a surge in interest in the topic, bringing new theoretical, analytic, and methodological developments alongside fresh controversies. This Special Focus on alpha-band dynamics and temporal processing provides an up-to-date snapshot of the playing field, with contributions from leading researchers in the field spanning original perspectives, new evidence, comprehensive reviews and meta-analyses, as well as discussion of ongoing controversies and paths forward. We hope that the perspectives captured here will help catalyze future research and shape the pathways toward a theoretically grounded and mechanistic account of the link between alpha dynamics and temporal properties of perception.
Expectation Modulates Repetition Suppression at Late But Not Early Stages during Visual Word Recognition: Evidence from Event-related Potentials
Authors: Song Bingbing , Sommer Werner , Maurer Urs 
Published: January 2024

Abstract
Visual word recognition is commonly rapid and efficient, incorporating top–down predictive processing mechanisms. Neuroimaging studies with face stimuli suggest that repetition suppression (RS) reflects predictive processing at the neural level, as this effect is larger when repetitions are more frequent, that is, more expected. It remains unclear, however, at the temporal level whether and how RS and its modulation by expectation occur in visual word recognition. To address this gap, the present study aimed to investigate the presence and time course of these effects during visual word recognition using EEG. Thirty-six native Cantonese speakers were presented with pairs of Chinese written words and performed a nonlinguistic oddball task. The second word of a pair was either a repetition of the first or a different word (alternation). In repetition blocks, 75% of trials were repetitions and 25% were alternations, whereas the reverse was true in alternation blocks. Topographic analysis of variance of EEG at each time point showed robust RS effects in three time windows (141–227 msec, 242–445 msec, and 467–513 msec) reflecting facilitation of visual word recognition. Importantly, the modulation of RS by expectation was observed at the late rather than early intervals (334–387 msec, 465–550 msec, and 559–632 msec) and more than 100 msec after the first RS effects. In the predictive coding view of RS, only late repetition effects are modulated by expectation, whereas early RS effects may be mediated by lower-level predictions. Taken together, our findings provide the first EEG evidence revealing distinct temporal dynamics of RS effects and repetition probability on RS effects in visual processing of Chinese words.
Church School Students’ Narratives on Their Schools and the Hidden Curricular Effects
Authors: Kodácsy-Simon Eszter , Seres-Busi Etelka 
Published: January 2024

Abstract
The particular atmosphere of church schools in Hungary is an exciting field of research. Of special interest is the question as to how students perceive their schools, what image they construct of them, and what they think about its purposes and hidden messages. In our exploratory research, we conducted 37 student interviews, followed by content analysis, during which we identified “diversity” as a core concept with multiple associations. Diversity was frequently mentioned in relation to different aspects of school life, but was also discussed as an important reference point in connection with their experience of faith. Diversity is also a personal resource for students when they reflect on specifically relevant and sensitive issues in their lives. This paper presents a conceptual web of diversity identified as a core concept in the students’ narratives.
High colonisation by probiotic Escherichia coli A0 34/86 strain is associated with a less diverse microbiome related to children’s age
Authors: Micenková L. , Brodı́ková K. , Smetanová S. , Bosák J. , Šmajs D. , Andrla P. , Budinská E. 
Published: January 2024

Abstract
Probiotic supplementation in childhood serves as an additional source of bacterial colonisers and represents an opportunity to beneficially manipulate the intestinal microbiome. Differences in the ability of probiotic strains to colonise the gut may be related to the variously diversified gut microbiome. We report the results of the association between composition of the gut microbiome and the colonisation capacity of the probiotic strain Escherichia coli A0 34/86 (CNB – Colinfant New Born supplement) in the cases of three healthy children in different development stages (infant, toddler, and pre-school), as a preliminary insight to possible future prospective studies of this subject. Microbiome composition was estimated by 16S rRNA gene sequencing of 55 stool samples collected during approximately 3.5-13 months long periods. Detailed characterisation of the E. coli population was performed using colony PCR to detect 33 E. coli genetic determinants. In all children, genetic determinants typical for the probiotic E. coli A0 34/86 strain were detected immediately after administration of the probiotics. Analysis of the initial sample composition (the last sample taken before the probiotic administration) showed that the gut microbiome of infant and toddler with lower bacterial diversity was more successfully colonised by the probiotic strain. In our case report of three children, we showed for the first that supplementation with CNB probiotics in early infancy and toddlerhood was associated with high E. coli A0 34/86 colonisation and a significant change in the composition of the gut microbiome. Our results indicate that administration of CNB for its recommended duration might be efficient only in very early childhood.