bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nitrate alleviates ammonium toxicity in Brassica napus by coordinating rhizosphere and cell pH and ammonium assimilation
Authors: Li Shuang , Yan Lei , Zhang Wen , Yi Ceng , Haider Sharjeel , Wang Chuang , Liu Yu , Shi Lei , Xu Fangsen , Ding Guangda 
Published: November 2023

SUMMARYIn natural and agricultural situations, ammonium () is a preferred nitrogen (N) source for plants, but excessive amounts can be hazardous to them, known as toxicity. Nitrate () has long been recognized to reduce toxicity. However, little is known about Brassica napus, a major oil crop that is sensitive to high . Here, we found that can mitigate toxicity by balancing rhizosphere and intracellular pH and accelerating ammonium assimilation in B. napus. increased the uptake of and under high circumstances by triggering the expression of and transporters, while and H+ efflux from the cytoplasm to the apoplast was enhanced by promoting the expression of efflux transporters and genes encoding plasma membrane H+‐ATPase. In addition, increased pH in the cytosol, vacuole, and rhizosphere, and down‐regulated genes induced by acid stress. Root glutamine synthetase (GS) activity was elevated by under high conditions to enhance the assimilation of into amino acids, thereby reducing accumulation and translocation to shoot in rapeseed. In addition, root GS activity was highly dependent on the environmental pH. might induce metabolites involved in amino acid biosynthesis and malate metabolism in the tricarboxylic acid cycle, and inhibit phenylpropanoid metabolism to mitigate toxicity. Collectively, our results indicate that balances both rhizosphere and intracellular pH via effective transmembrane cycling, accelerates assimilation, and up‐regulates malate metabolism to mitigate toxicity in oilseed rape.
Feline straelensiosis: Clinical and histopathological description of a case and first genetic characterisation of Straelensia cynotis
Authors: Dumitrache M. O. , Kalmár Z. , Roumegous S. , Charmes K. , Delverdier M. , Le Net J. L. , Cadiergues M. C. 
Published: November 2023

AbstractStraelensia cynotis is a trombidioid mite that causes painful, usually nonpruritic nodular dermatitis mainly in the dorsal region of dogs. This case report describes the first observation of feline straelensiosis in Europe with clinicopathological findings. Molecular characterisation of the parasite was performed and compared with mites collected from dogs.
Fast estimation of the look-elsewhere effect using Gaussian random fields
Authors: Qin Juehang , Lang Rafael F. 
Published: November 2023

AbstractWe discuss the use of Gaussian random fields to estimate the look-elsewhere effect correction. We show that Gaussian random fields can be used to model the null-hypothesis significance maps from a large set of statistical problems commonly encountered in physics, such as template matching and likelihood ratio tests. Some specific examples are searches for dark matter using pixel arrays, searches for astronomical transients, and searches for fast-radio bursts. Gaussian random fields can be sampled efficiently in the frequency domain, and the excursion probability can be fitted with these samples to extend any estimation of the look-elsewhere effect to lower p values. In addition, in cases where the Gaussian random field is stationary and the parameter space is Euclidean, the look-elsewhere effect correction can be computed analytically. We demonstrate these methods using two example template matching problems. Finally, we apply these methods to estimate the trial factor of a $$4^3$$

4
3

accelerometer array for the detection of dark matter tracks in the Windchime project. When a global significance of $$3\sigma $$

3
σ

is required, the estimated trial factor for such an accelerometer array is $$10^{14}$$

10
14

for a one-second search, and $$10^{22}$$

10
22

for a 1-year search.
Test of Barrow entropy using a model independent approach
Authors: Salehi A. 
Published: November 2023

AbstractTaking into consideration of a fractal structure for the black hole horizon, Barrow argued that the area law of entropy get modified due to quantum-gravitational effects. Accordingly, the corrected entropy takes the form $$S\sim A^{1+\frac{\Delta }{2}}$$

S
∼

A

1
+

Δ
2

, where $$0\le \Delta \le 1,$$

0
≤
Δ
≤
1
,

indicates the amount of the quantum-gravitational deformation effects. By considering the modified Barrow entropy associated with the apparent horizon, the Friedmann equations get modified as well. We show that considering a universe filled with the matter and cosmological constant $$\Lambda $$
Λ
, it is possible to determine the amount of deviation from standard cosmology by reconstructing the parameter $$\delta $$
δ
in terms of curvature parameters $$\{q,Q,\Omega _{k}\}$$

{
q
,
Q
,

Ω
k

}

as $$\Delta =\frac{(Q-1-\Omega _k)(1+\Omega _k)}{(1+\Omega _k+q)^{2}}$$

Δ
=

(
Q
-
1
-

Ω
k

)

(
1
+

Ω
k

)

(
1
+

Ω
k

+
q
)

2

. Here, q is the deceleration parameter and Q is the third derivative of scale factor. This relation provides some advantages. The first is that it indicates that there is profound connection between quantum-gravitational deformation effects and curvature effects, for $$\Omega _k\simeq 0$$

Ω
k

≃
0

the pair $$\{q,Q\}$$

{
q
,
Q
}

can be regarded as deviation curvature factors which reflect the amount of deviation of the model from the standard model. The second interesting feature is that, since this pair are observational parameters which can be directly measured in a model independent approach, they can be regarded as powerful tools to enable us to put constraint on parameter $$\Delta $$
Δ
and test the Barrow entropy model. Our analysis predicts the value for $$Q_{0}$$

Q
0

which is slightly deviates from 1 as $$(Q_{0}-1)<0.001$$

(

Q
0

-
1
)
<
0.001

. This can be a relativity well target and criterion for theoretical and observational measurements of parameter $$Q_{0}$$

Q
0

. Hence we can hope and wait the improvement of the high redshift data in the future to support it.
Motion of spinning particles around dynamic phantom AdS black holes
Authors: Shahzad M. Umair , Khalid Sana , Övgün Ali 
Published: November 2023

AbstractThis work is devoted to discussing spinning particles’ motion in the surrounding dynamic phantom AdS Black hole (BH) with phantom scalar field k. The primary goal of this research is to differentiate between the effects of electric and magnetic charges on dynamic phantom AdS BH. The study analyzes the dependence of the innermost stable circular orbit (ISCO), responsible for interactions between charged particles and the external magnetic field, and observes the circular orbits of particles revolving around the compact object. It is also observed that as electric and magnetic charges increase, the ISCO radius decreases. Additionally, stability of orbit, Keplerian frequency, and harmonic oscillations of charged particles are also discussed. We also find the condition, electric and magnetic charges of the dynamic phantom AdS BH effect the energy of the center of mass with magnetized, electrically charged, and neutral particles due to the collision. Lastly, we discuss the accretion process and obtain generalized equations for the speed of sound $$c^2_{s}$$

c
s
2

sec, 4-velocity u(r), energy density $$\rho (r)$$

ρ
(
r
)

and mass ($${\dot{M}}$$

M
˙

). We also plot these physical parameters against constant values of mass, electric and magnetic charges, and distinct values of state parameter $$\omega $$
ω
to study the accretion process. We observe that radial velocity and energy density of the fluid remain positive and negative, and the rate of change of mass is increased and decreased for stiff, dust, quintessence, and phantom-like fluid, respectively.
Generalized cutoff for late time acceleration and inflation: The cosmology of holographic fluid
Authors: Aziza Altaibayeva , Chattopadhyay Surajit 
Published: November 2023

Motivated by the work of Nojiri et al. [Phys. Lett. B 797 (2019) 134829], we utilize the holographic principle in the early universe to realize the holographic origin through inflation. A similar argument can be made for its well-researched late-time application, and the early-time horizon contraction naturally boosts holographic energy density at inflationary scales. After accounting for the IR cutoff adjustment and using holographic Ricci dark energy as the inflationary fluid, we have shown the significance of [Formula: see text] in the inflation realization. For holographic Ricci dark fluid’s potential to realize inflation, several restrictions were derived. The e-folding number was used to discuss inflationary observables and determine the slow-roll parameters. The study covered the effects of reconstructing the IR cutoff and the potential for inflation to be realized after taking into account holographic Ricci dark energy as a special instance of the most generalized Nojiri–Odintsov holographic dark energy [S. Nojiri and S. D. Odintsov, Gen. Relativ. Gravit. 38 (2006) 1285–1304]. Additionally, some time intervals for the potential of inflation have been calculated, and the behavior of the equation of state parameter has also been discussed.
Non-Hermitian two-dimensional harmonic oscillator in noncommutative phase-space
Authors: N’Dolo Emanonfi Elias 
Published: November 2023

In this paper, we extend the result of [A. Fring et al. J. Phys. A 43 (2010) 345–401] in Noncommutative phase-space (NCPS). We compute the non-Hermitian Hamiltonian of a harmonic oscillator in NCPS. We construct a new [Formula: see text]-symmetry in NCPS and prove that the system does not possess a broken [Formula: see text]-regime. We then compute the eigenvalue spectrum of the non-Hermitian Hamiltonian of the system.
Seismic Performance and Damage Evaluation of Reinforced Concrete Structures Based on Field Investigation Made After February 6, 2023, Kahramanmaraş Earthquakes
Authors: Sevim B. , Ayvaz Y. , Akbulut S. , Aydıner M. F. , Uzun S. , Ari A. 
Published: November 2023

On 6 February 2023, an earthquake doublet occurred, the first at Kahramanmaraş Pazarcık district ([Formula: see text]) at local time 04:17 and the second, which approximately 9 hours after the first earthquake, occurred at Kahramanmaraş Elbistan district ([Formula: see text]) at local time 13:24 in Türkiye. It is a disaster affected 11 cities in the eastern region in Türkiye and is referred as “Disaster of the Century”. Earthquake disasters allow humanity to investigate seismic behavior under related construction details and revising the seismic codes. The authors conducted observational research to obtain interpretive information and digital data by investigating structural damages of moderately and heavily damaged buildings from earthquake sites. In this paper, performance evaluation is done based on existence of soft storey, weak column-strong beam, deficiencies and pounding effect. Damages are classified as beam, column, beam-column joint and shear wall, infill wall, roof and scaffolding damages. Ampleness of soft storey, column damages, inadequate joint reinforcement, inadequate structural ductility and low capacity, strong beam-weak column effect, and infill wall damages have been observed from the field. As a result of field observation, structural deficiencies, irregularities and mismatching capacity design principles have been concluded as common problems of reinforced concrete buildings in the Kahramanmaraş earthquake site.
AirIndex: Versatile Index Tuning Through Data and Storage
Authors: Chockchowwat Supawit , Liu Wenjie , Park Yongjoo 
Published: November 2023

The end-to-end lookup latency of a hierarchical index---such as a B-tree or a learned index---is determined by its structure such as the number of layers, the kinds of branching functions appearing in each layer, the amount of data we must fetch from layers, etc. Our primary observation is that by optimizing those structural parameters (or designs) specifically to a target system's I/O characteristics (e.g., latency, bandwidth), we can offer a faster lookup compared to the ones that are not optimized. Can we develop a systematic method for finding those optimal design parameters? Ideally, the method must have the potential to generate almost any existing index or a novel combination of them for the fastest possible lookup.
In this work, we present new data and an I/O-aware index builder (called AirIndex) that can find high-speed hierarchical index designs in a principled way. Specifically, AirIndex minimizes an objective function expressing the end-to-end latency in terms of various designs---the number of layers, types of layers, and more---for given data and a storage profile, using a graph-based optimization method purpose-built to address the computational challenges rising from the inter-dependencies among index layers and the exponentially many candidate parameters in a large search space. Our empirical studies confirm that AirIndex can find optimal index designs, build optimal indexes within the times comparable to existing methods, and deliver up to 4.1x faster lookup than a lightweight B-tree library (LMDB), 3.3x--46.3x faster than state-of-the-art learned indexes (RMI/CDFShop, PGM-index, ALEX/APEX, PLEX), and 2.0 faster than Data Calculator's suggestion on various dataset and storage settings.
Efficient Algorithm for Budgeted Adaptive Influence Maximization: An Incremental RR-set Update Approach
Authors: Guo Qintian , Feng Chen , Zhang Fangyuan , Wang Sibo 
Published: November 2023

Given a graph G, a cost associated with each node, and a budget B, the budgeted influence maximization (BIM) aims to find the optimal set S of seed nodes that maximizes the influence among all possible sets such that the total cost of nodes in S is no larger than B. Existing solutions mainly follow the non-adaptive idea, i.e., determining all the seeds before observing any actual diffusion. Due to the absence of actual diffusion information, they may result in unsatisfactory influence spread. Motivated by the limitation of existing solutions, in this paper, we make the first attempt to solve the BIM problem under the adaptive setting, where seed nodes are iteratively selected after observing the diffusion result of the previous seeds. We design the first practical algorithm which achieves an expected approximation guarantee by probabilistically adopting a cost-aware greedy idea or a single influential node. Further, we develop an optimized version to improve its practical performance in terms of influence spread.Besides, the scalability issues of the adaptive IM-related problems still remain open. It is because they usually involve multiple rounds (e.g., equal to the number of seeds) and in each round, they have to construct sufficient new reverse-reachable set (RR-set) samples such that the claimed approximation guarantee can actually hold. However, this incurs prohibitive computation, imposing limitations on real applications. To solve this dilemma, we propose an incremental update approach. Specifically, it maintains extra construction information when building RR-sets, and then it can quickly correct a problematic RR-set from the very step where it is first affected. As a result, we recycle the RR-sets at a small computational cost, while still providing correctness guarantee. Finally, extensive experiments on large-scale real graphs demonstrate the superiority of our algorithms over baselines in terms of both influence spread and running time.
Origin-Destination Travel Time Oracle for Map-based Services
Authors: Lin Yan , Wan Huaiyu , Hu Jilin , Guo Shengnan , Yang Bin , Lin Youfang , Jensen Christian S. 
Published: November 2023

Given an origin (O), a destination (D), and a departure time (T), an Origin-Destination (OD) travel time oracle~(ODT-Oracle) returns an estimate of the time it takes to travel from O to D when departing at T. ODT-Oracles serve important purposes in map-based services. To enable the construction of such oracles, we provide a travel-time estimation (TTE) solution that leverages historical trajectories to estimate time-varying travel times for OD pairs.The problem is complicated by the fact that multiple historical trajectories with different travel times may connect an OD pair, while trajectories may vary from one another. To solve the problem, it is crucial to remove outlier trajectories when doing travel time estimation for future queries.We propose a novel, two-stage framework called Diffusion-based Origin-destination Travel Time Estimation (DOT), that solves the problem. First, DOT employs a conditioned Pixelated Trajectories (PiT) denoiser that enables building a diffusion-based PiT inference process by learning correlations between OD pairs and historical trajectories. Specifically, given an OD pair and a departure time, we aim to infer a PiT. Next, DOT encompasses a Masked Vision Transformer~(MViT) that effectively and efficiently estimates a travel time based on the inferred PiT. We report on extensive experiments on two real-world datasets that offer evidence that DOT is capable of outperforming baseline methods in terms of accuracy, scalability, and explainability.
The Tautomerase Activity of Tumor Exosomal MIF Promotes Pancreatic Cancer Progression by Modulating MDSC Differentiation
Authors: Jia Xuebing , Xi Jianbei , Tian Binle , Zhang Yuanyuan , Wang Zhilong , Wang Fan , Li Zheng , Long Jiang , Wang JianFei , Fan Guo-Huang , Li Qi 
Published: November 2023

Abstract
Pancreatic cancer is a deadly disease that is largely resistant to immunotherapy, in part because of the accumulation of immunosuppressive cells in the tumor microenvironment (TME). Much evidence suggests that tumor-derived exosomes (TDE) contribute to the immunosuppressive activity mediated by myeloid-derived suppressor cells (MDSC) within the pancreatic cancer TME. However, the underlying mechanisms remain elusive. Herein, we report that macrophage migration inhibitory factor (MIF) in TDEs has a key role in inducing MDSC formation in pancreatic cancer. We identified MIF in both human and murine pancreatic cancer–derived exosomes. Upon specific shRNA-mediated knockdown of MIF, the ability of pancreatic cancer–derived exosomes to promote MDSC differentiation was abrogated. This phenotype was rescued by reexpression of the wild-type form of MIF rather than a tautomerase-null mutant or a thiol-protein oxidoreductase-null mutant, indicating that both MIF enzyme activity sites play a role in exosome-induced MDSC formation in pancreatic cancer. RNA sequencing data indicated that MIF tautomerase regulated the expression of genes required for MDSC differentiation, recruitment, and activation. We therefore developed a MIF tautomerase inhibitor, IPG1576. The inhibitor effectively inhibited exosome-induced MDSC differentiation in vitro and reduced tumor growth in an orthotopic pancreatic cancer model, which was associated with decreased numbers of MDSCs and increased infiltration of CD8+ T cells in the TME. Collectively, our findings highlight a pivotal role for MIF in exosome-induced MDSC differentiation in pancreatic cancer and underscore the potential of MIF tautomerase inhibitors to reverse the immunosuppressive pancreatic cancer microenvironment, thereby augmenting anticancer immune responses.
Combination of Anti–PD-1 and Electroacupuncture Induces a Potent Antitumor Immune Response in Microsatellite-Stable Colorectal Cancer
Authors: Wang Yuan , Liu Fengyi , Du Xiaoxue , Shi Jiaqi , Yu Rui , Li Shuang , Na Ruisi , Zhao Ying , Zhou Meng , Guo Ying , Cheng Liang , Wang Guangyu , Zheng Tongsen 
Published: November 2023

Abstract
Programmed death receptor-1 (PD-1) inhibitors are ineffective against microsatellite-stable (MSS) colorectal cancer. Electroacupuncture (EA) has oncosuppressive and immunomodulatory properties. Here, we investigated the antitumor effects of EA and explored the feasibility of EA combined with anti–PD-1 in MSS colorectal cancer. Results showed that EA exerted its antitumor effect in an intensity-specific manner, and moderate-intensity EA (1.0 mA) induced maximal tumor inhibition. EA enhanced antitumor immune responses by increasing lymphocytes and granzyme B (GzmB) levels, as well as activating the stimulator of IFN genes (STING) pathway. EA combined with anti–PD-1 showed superior efficacy compared with either monotherapy in multiple MSS colorectal cancer mouse models. Single-cell RNA sequencing revealed that cotreatment reprogrammed the tumor immune microenvironment (TIME), as characterized by enhancement of cytotoxic functions. Mechanically, we found that the potentiated effect of EA was dependent upon the STING pathway. Collectively, EA reshapes the TIME of MSS colorectal cancer and sensitizes tumors to anti–PD-1 in a STING pathway–dependent manner. These results provide a mechanistic rationale for using EA as an immunomodulatory strategy to improve the clinical efficacy of anti–PD-1 in MSS colorectal cancer. EA is safe, well-tolerated, and feasible for clinical translation as a promising strategy for treating MSS colorectal cancer.
Statin-induced Mitochondrial Priming Sensitizes Multiple Myeloma Cells to BCL2 and MCL-1 Inhibitors
Authors: Juarez Dennis , Buono Roberta , Matulis Shannon M. , Gupta Vikas A. , Duong Madeleine , Yudiono Jacob , Paul Madhuri , Mallya Sharmila , Diep Grace , Hsin Peter , Lu Alexander , Suh Sang Mi , Dong Vy M. , Roberts Andrew W. , Leverson Joel D. , Jalaluddin Muhammad , Liu Zhuangzhuang , Bueno Orlando F. , Boise Lawrence H. , Fruman David A. 
Published: November 2023

Abstract

The BCL2 inhibitor venetoclax promotes apoptosis in blood cancer cells and is approved for treatment of chronic lymphocytic leukemia and acute myeloid leukemia. However, multiple myeloma cells are frequently more dependent on MCL-1 for survival, conferring resistance to venetoclax. Here we report that mevalonate pathway inhibition with statins can overcome resistance to venetoclax in multiple myeloma cell lines and primary cells. In addition, statins sensitize to apoptosis induced by MCL-1 inhibitor, S63845. In retrospective analysis of venetoclax clinical studies in multiple myeloma, background statin use was associated with a significantly enhanced rate of stringent complete response and absence of progressive disease. Statins sensitize multiple myeloma cells to venetoclax by upregulating two proapoptotic proteins: PUMA via a p53-independent mechanism and NOXA via the integrated stress response. These findings provide rationale for prospective testing of statins with venetoclax regimens in multiple myeloma.

Significance:
BH3 mimetics including venetoclax hold promise for treatment of multiple myeloma but rational combinations are needed to broaden efficacy. This study presents mechanistic and clinical data to support addition of pitavastatin to venetoclax regimens in myeloma. The results open a new avenue for repurposing statins in blood cancer.