bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dupilumab-Associated Ocular Surface Disease or Atopic Keratoconjunctivitis Not Improved by Dupilumab? Upadacitinib May Clarify the Dilemma: A Case Report
Authors: Galluzzo Marco , Tofani Lorenzo , Spelta Sara , Talamonti Marina , Micera Alessandra , Bianchi Luca , Coassin Marco , Bonini Stefano , Di Zazzo Antonio 
Published: March 2024

Abstract
Dupilumab-associated ocular surface disease is a common clinical sign appearing in patients with atopic dermatitis (AD) just few months after dupilumab treatment start, developing in about 25% of patients. Atopic keratoconjunctivitis (AKC) is a well-identified clinical entity, defined as a chronic inflammatory disease of eye that affects 25%–40% of patients with AD. Most clinical signs of ocular involvement in AD patients treated with dupilumab overlaps the AKC symptoms and signs. We supposed that Dupilumab-associated ocular surface disease and AKC represent the same disease but differently called by dermatologists and ophthalmologists. AKC-like disease may develop during dupilumab therapy as a consequence of alternative cytokines pathway activation (e.g. IL33) secondary to IL-4/13 pathway block. The novel upadacitinib drug may bypass ILs pathway through Janus Kinases selective inhibition, avoiding positive or negative ILs feedback at the ocular surface level. In this case report, molecular analysis on conjunctival samples showed a lower ocular surface inflammation (lower expression of HLADR) although higher levels of IL4 and IL13 in a patient with AD and AKC during upadacitinib therapy, compared to prior dupilumab treatment. Target therapies in patients suffering from AD may prevent ocular and dermatological comorbidities improving quality of life before quality of skin and vision.
Learning needs of the 21st century: Using intentional emergence with Generation Z college students
Authors: Weng John , Seemiller Corey 
Published: March 2024

AbstractThe student body within a university is a dynamic entity, with each cohort being shaped by current societal events and technological advancements. Thus, higher education institutions and other providers of leadership education and development must consider the nature of today's college students and employees, who are primarily from Generation Z, when engaging in teaching and learning practices. One such pedagogy that aligns with this student cohort is intentional emergence (IE). This article will discuss ideas and considerations for using IE with Generation Z students.
Aspects of three-dimensional C-metric
Authors: Tian Jia , Lai Tengzhou 
Published: March 2024

Abstract
In this work, we present an extensive analysis of the thermodynamics and holographic properties of three-dimensional C-metrics in the FG gauge, where we find that the free energy is equal to the Euclidean on-shell action with a generic conformal factor. For the black hole solutions we find that Smarr relation and the first law of thermodynamics can be formulated when the contributions of the boundary entropy are considered. We also compute holographic entanglement entropy following the AdS/BCFT formalism. By comparing the free energies of different bulk solutions with a fixed flat torus boundary geometry, we find that a specific type of accelerating black hole is dominant in the high temperature regime.
Confinement and D5-branes
Authors: Nunez Carlos , Oyarzo Marcelo , Stuardo Ricardo 
Published: March 2024

Abstract
In this work we present new solutions of type IIB supergravity based on wrapped D5 branes. We propose that two of these backgrounds are holographically dual to Quantum Field Theories that confine. The high energy regime of the field theories is that of a Little String Theory. We study various observables (Wilson and ’t Hooft loops, Entanglement entropy, density of degrees of freedom and the spectrum of spin-two glueballs, among others). We also present two new black membrane backgrounds and analyse some thermodynamic aspects of these solutions.
Finite Groups All of Whose Subgroups are $$\mathbb {P}$$-Subnormal or $${{\,\textrm{TI}\,}}$$-Subgroups
Authors: Ballester-Bolinches A. , Kamornikov S. F. , Pérez-Calabuig V. , Yi X. 
Published: March 2024

AbstractLet $$\mathbb {P}$$
P
be the set of all prime numbers. A subgroup H of a finite group G is said to be $$\mathbb {P}$$
P
-subnormal in G if there exists a chain of subgroups $$\begin{aligned} H = H_0 \subseteq H_1 \subseteq \cdots \subseteq H_{n-1} \subseteq H_n = G \end{aligned}$$

H
=

H
0

⊆

H
1

⊆
⋯
⊆

H

n
-
1

⊆

H
n

=
G

such that either $$H_{i-1}$$

H

i
-
1

is normal in $$H_i$$

H
i

or $$|H_i{:}\, H_{i-1}|$$

|

H
i

:

H

i
-
1

|

is a prime number for every $$i = 1, 2, \ldots , n$$

i
=
1
,
2
,
…
,
n

. A subgroup H of G is called a $${{\,\textrm{TI}\,}}$$

TI

-subgroup if every pair of distinct conjugates of H has trivial intersection. The aim of this paper is to give a complete description of all finite groups in which every non-$$\mathbb {P}$$
P
-subnormal subgroup is a $${{\,\textrm{TI}\,}}$$

TI

-subgroup.
Txnip regulates the Oct4-mediated pluripotency circuitry via metabolic changes upon differentiation
Authors: Kwak Sojung , Song Cho Lok , Cho Yee Sook , Choi Inpyo , Byun Jae-Eun , Jung Haiyoung , Lee Jungwoon 
Published: March 2024

AbstractThioredoxin interacting protein (Txnip) is a stress-responsive factor regulating Trx1 for redox balance and involved in diverse cellular processes including proliferation, differentiation, apoptosis, inflammation, and metabolism. However, the biological role of Txnip function in stem cell pluripotency has yet to be investigated. Here, we reveal the novel functions of mouse Txnip in cellular reprogramming and differentiation onset by involving in glucose-mediated histone acetylation and the regulation of Oct4, which is a fundamental component of the molecular circuitry underlying pluripotency. During reprogramming or PSC differentiation process, cellular metabolic and chromatin remodeling occur in order to change its cellular fate. Txnip knockout promotes induced pluripotency but hinders initial differentiation by activating pluripotency factors and promoting glycolysis. This alteration affects the intracellular levels of acetyl-coA, a final product of enhanced glycolysis, resulting in sustained histone acetylation on active PSC gene regions. Moreover, Txnip directly interacts with Oct4, thereby repressing its activity and consequently deregulating Oct4 target gene transcriptions. Our work suggests that control of Txnip expression is crucial for cell fate transitions by modulating the entry and exit of pluripotency.
Strong solutions and attractor dimension for 2D NSE with dynamic boundary conditions
Authors: Pražák Dalibor , Zelina Michael 
Published: March 2024

AbstractWe consider incompressible Navier–Stokes equations in a bounded 2D domain, complete with the so-called dynamic slip boundary conditions. Assuming that the data are regular, we show that weak solutions are strong. As an application, we provide an explicit upper bound of the fractal dimension of the global attractor in terms of the physical parameters. These estimates comply with analogous results in the case of Dirichlet boundary condition.
A perturbative approach to Hölder continuity of solutions to a nonlocal p-parabolic equation
Authors: Tavakoli Alireza 
Published: March 2024

AbstractWe study local boundedness and Hölder continuity of a parabolic equation involving the fractional p-Laplacian of order s, with $$0<s<1$$

0
<
s
<
1

, $$2\le p < \infty $$

2
≤
p
<
∞

, with a general right-hand side. We focus on obtaining precise Hölder continuity estimates. The proof is based on a perturbative argument using the already known Hölder continuity estimate for solutions to the equation with zero right-hand side.
A critical exponent in a quasilinear Keller–Segel system with arbitrarily fast decaying diffusivities accounting for volume-filling effects
Authors: Stinner Christian , Winkler Michael 
Published: March 2024

AbstractThe quasilinear Keller–Segel system$$\begin{aligned} \left\{ \begin{array}{l} u_t=\nabla \cdot (D(u)\nabla u) - \nabla \cdot (S(u)\nabla v), \\ v_t=\Delta v-v+u, \end{array}\right. \end{aligned}$$ut=∇·(D(u)∇u)-∇·(S(u)∇v),vt=Δv-v+u,endowed with homogeneous Neumann boundary conditions is considered in a bounded domain$$\Omega \subset {\mathbb {R}}^n$$Ω⊂Rn,$$n \ge 3$$n≥3, with smooth boundary for sufficiently regular functionsDandSsatisfying$$D>0$$D>0on$$[0,\infty )$$[0,∞),$$S>0$$S>0on$$(0,\infty )$$(0,∞)and$$S(0)=0$$S(0)=0. On the one hand, it is shown that if$$\frac{S}{D}$$SDsatisfies the subcritical growth condition$$\begin{aligned} \frac{S(s)}{D(s)} \le C s^\alpha \qquad \text{ for } \text{ all } s\ge 1 \qquad \text{ with } \text{ some } \alpha < \frac{2}{n} \end{aligned}$$S(s)D(s)≤Csαforalls≥1withsomeα<2nand$$C>0$$C>0, then for any sufficiently regular initial data there exists a global weak energy solution such that$${ \mathrm{{ess}}} \sup _{t>0} \Vert u(t) \Vert _{L^p(\Omega )}<\infty $$esssupt>0‖u(t)‖Lp(Ω)<∞for some$$p > \frac{2n}{n+2}$$p>2nn+2. On the other hand, if$$\frac{S}{D}$$SDsatisfies the supercritical growth condition$$\begin{aligned} \frac{S(s)}{D(s)} \ge c s^\alpha \qquad \text{ for } \text{ all } s\ge 1 \qquad \text{ with } \text{ some } \alpha > \frac{2}{n} \end{aligned}$$S(s)D(s)≥csαforalls≥1withsomeα>2nand$$c>0$$c>0, then the nonexistence of a global weak energy solution having the boundedness property stated above is shown for some initial data in the radial setting. This establishes some criticality of the value$$\alpha = \frac{2}{n}$$α=2nfor$$n \ge 3$$n≥3, without any additional assumption on the behavior ofD(s) as$$s \rightarrow \infty $$s→∞, in particular without requiring any algebraic lower bound forD. When applied to the Keller–Segel system with volume-filling effect for probability distribution functions of the type$$Q(s) = \exp (-s^\beta )$$Q(s)=exp(-sβ),$$s \ge 0$$s≥0, for global solvability the exponent$$\beta = \frac{n-2}{n}$$β=n-2nis seen to be critical.
Bloom weighted bounds for sparse forms associated to commutators
Authors: Lerner Andrei K. , Lorist Emiel , Ombrosi Sheldy 
Published: March 2024

AbstractIn this paper we consider bilinear sparse forms intimately related to iterated commutators of a rather general class of operators. We establish Bloom weighted estimates for these forms in the full range of exponents, both in the diagonal and off-diagonal cases. As an application, we obtain new Bloom bounds for commutators of (maximal) rough homogeneous singular integrals and the Bochner–Riesz operator at the critical index. We also raise the question about the sharpness of our estimates. In particular we obtain the surprising fact that even in the case of Calderón–Zygmund operators, the previously known quantitative Bloom bounds are not sharp for the second and higher order commutators.
Towards clinical adherence monitoring of oral endocrine breast cancer therapies by LC-HRMS—method development, validation, comparison of four sample matrices, and proof of concept
Authors: Jacobs Cathy M. , Radosa Julia C. , Wagmann Lea , Zimmermann Julia S. M. , Kaya Askin C. , Aygün Aylin , Edel Tatjana , Stotz Lisa , Ismaeil Mohamed , Solomayer Erich-Franz , Meyer Markus R. 
Published: March 2024

AbstractOral endocrine therapies (OET) for breast cancer treatment need to be taken over a long period of time and are associated with considerable side effects. Therefore, adherence to OET is an important issue and of high clinical significance for breast cancer patients’ caregivers. We hypothesized that a new bioanalytical strategy based on liquid chromatography and high-resolution mass spectrometry might be suitable for unbiased adherence monitoring (AM) of OET. Four different biomatrices (plasma, urine, finger prick blood by volumetric absorptive microsampling (VAMS), oral fluid (OF)) were evaluated regarding their suitability for AM of the OET abemaciclib, anastrozole, exemestane, letrozole, palbociclib, ribociclib, tamoxifen, and endoxifen. An analytical method was developed and validated according to international recommendations. The analytical procedures were successfully validated in all sample matrices for most analytes, even meeting requirements for therapeutic drug monitoring. Chromatographic separation of analytes was achieved in less than 10 min and limits of quantification ranged from 1 to 1000 ng/mL. The analysis of 25 matching patient samples showed that AM of OET is possible using all four matrices with the exception of, e.g., letrozole and exemestane in OF. We were able to show that unbiased bioanalytical AM of OET was possible using different biomatrices with distinct restrictions. Sample collection of VAMS was difficult in most cases due to circulatory restraints and peripheral neuropathy in fingers and OF sampling was hampered by dry mouth syndrome in some cases. Although parent compounds could be detected in most of the urine samples, metabolites should be included when analyzing urine or OF. Plasma is currently the most suitable matrix due to available reference concentrations.
Graphical Abstract
Cyanophycin modifications for applications in tissue scaffolding
Authors: Kwiatos Natalia , Atila Deniz , Puchalski Michał , Kumaravel Vignesh , Steinbüchel Alexander 
Published: March 2024

Abstract
Cyanophycin (CGP) is a polypeptide consisting of amino acids—aspartic acid in the backbone and arginine in the side chain. Owing to its resemblance to cell adhesive motifs in the body, it can be considered suitable for use in biomedical applications as a novel component to facilitate cell attachment and tissue regeneration. Although it has vast potential applications, starting with nutrition, through drug delivery and tissue engineering to the production of value-added chemicals and biomaterials, CGP has not been brought to the industry yet. To develop scaffolds using CGP powder produced by bacteria, its properties (e.g., biocompatibility, morphology, biodegradability, and mechanical strength) should be tailored in terms of the requirements of the targeted tissue. Crosslinking commonly stands for a primary modification method for renovating biomaterial features to these extents. Herein, we aimed to crosslink CGP for the first time and present a comparative study of different methods of CGP crosslinking including chemical, physical, and enzymatic methods by utilizing glutaraldehyde (GTA), UV exposure, genipin, 1-ethyl-3-[3-dimethylaminopropyl] carbodiimide hydrochloride/N-hydroxysuccinimide (EDC/NHS), and monoamine oxidase (MAO). Crosslinking efficacy varied among the samples crosslinked via the different crosslinking methods. All crosslinked CGP were non-cytotoxic to L929 cells, except for the groups with higher GTA concentrations. We conclude that CGP is a promising candidate for scaffolding purposes to be used as part of a composite with other biomaterials to maintain the integrity of scaffolds. The initiative study demonstrated the unknown characteristics of crosslinked CGP, even though its feasibility for biomedical applications should be confirmed by further examinations.

Key points
• Cyanophycin was crosslinked by 5 different methods
• Crosslinked cyanophycin is non-cytotoxic to L929 cells
• Crosslinked cyanophycin is a promising new material for scaffolding purposes

Graphical Abstract
Diffusion-/perfusion-weighted imaging fusion to automatically identify stroke within 4.5 h
Authors: Jiang Liang , Sun Jiarui , Wang Yajing , Yang Haodi , Chen Yu-Chen , Peng Mingyang , Zhang Hong , Chen Yang , Yin Xindao 
Published: March 2024

Abstract
Objectives
We aimed to develop machine learning (ML) models based on diffusion- and perfusion-weighted imaging fusion (DP fusion) for identifying stroke within 4.5 h, to compare them with DWI- and/or PWI-based ML models, and to construct an automatic segmentation-classification model and compare with manual labeling methods.

Methods
ML models were developed from multimodal MRI datasets of acute stroke patients within 24 h of clear symptom onset from two centers. The processes included manual segmentation, registration, DP fusion, feature extraction, and model establishment (logistic regression (LR) and support vector machine (SVM)). A segmentation-classification model (X-Net) was proposed for automatically identifying stroke within 4.5 h. The area under the receiver operating characteristic curve (AUC), sensitivity, Dice coefficients, decision curve analysis, and calibration curves were used to evaluate model performance.

Results
A total of 418 patients (≤ 4.5 h: 214; > 4.5 h: 204) were evaluated. The DP fusion model achieved the highest AUC in identifying the onset time in the training (LR: 0.95; SVM: 0.92) and test sets (LR: 0.91; SVM: 0.90). The DP fusion-LR model displayed consistent positive and greater net benefits than other models across a broad range of risk thresholds. The calibration curve demonstrated the good calibration of the DP fusion-LR model (average absolute error: 0.049). The X-Net model obtained the highest Dice coefficients (DWI: 0.81; Tmax: 0.83) and achieved similar performance to manual labeling (AUC: 0.84).

Conclusions
The automatic segmentation-classification models based on DWI and PWI fusion images had high performance in identifying stroke within 4.5 h.

Clinical relevance statement
Perfusion-weighted imaging (PWI) fusion images had high performance in identifying stroke within 4.5 h. The automatic segmentation-classification models based on DWI and PWI fusion images could provide clinicians with decision-making guidance for acute stroke patients with unknown onset time.

Key Points
• The diffusion/perfusion-weighted imaging fusion model had the best performance in identifying stroke within 4.5 h.
• The X-Net model had the highest Dice and achieved performance close to manual labeling in segmenting lesions of acute stroke.
• The automatic segmentation-classification model based on DP fusion images performed well in identifying stroke within 4.5 h.
High-performance presurgical differentiation of glioblastoma and metastasis by means of multiparametric neurite orientation dispersion and density imaging (NODDI) radiomics
Authors: Bai Jie , He Mengyang , Gao Eryuan , Yang Guang , Zhang Chengxiu , Yang Hongxi , Dong Jie , Ma Xiaoyue , Gao Yufei , Zhang Huiting , Yan Xu , Zhang Yong , Cheng Jingliang , Zhao Guohua 
Published: March 2024

Abstract
Objectives
To evaluate the performance of multiparametric neurite orientation dispersion and density imaging (NODDI) radiomics in distinguishing between glioblastoma (Gb) and solitary brain metastasis (SBM).

Materials and methods
In this retrospective study, NODDI images were curated from 109 patients with Gb (n = 57) or SBM (n = 52). Automatically segmented multiple volumes of interest (VOIs) encompassed the main tumor regions, including necrosis, solid tumor, and peritumoral edema. Radiomics features were extracted for each main tumor region, using three NODDI parameter maps. Radiomics models were developed based on these three NODDI parameter maps and their amalgamation to differentiate between Gb and SBM. Additionally, radiomics models were constructed based on morphological magnetic resonance imaging (MRI) and diffusion imaging (diffusion-weighted imaging [DWI]; diffusion tensor imaging [DTI]) for performance comparison.

Results
The validation dataset results revealed that the performance of a single NODDI parameter map model was inferior to that of the combined NODDI model. In the necrotic regions, the combined NODDI radiomics model exhibited less than ideal discriminative capabilities (area under the receiver operating characteristic curve [AUC] = 0.701). For peritumoral edema regions, the combined NODDI radiomics model achieved a moderate level of discrimination (AUC = 0.820). Within the solid tumor regions, the combined NODDI radiomics model demonstrated superior performance (AUC = 0.904), surpassing the models of other VOIs. The comparison results demonstrated that the NODDI model was better than the DWI and DTI models, while those of the morphological MRI and NODDI models were similar.

Conclusion
The NODDI radiomics model showed promising performance for preoperative discrimination between Gb and SBM.

Clinical relevance statement
The NODDI radiomics model showed promising performance for preoperative discrimination between Gb and SBM, and radiomics features can be incorporated into the multidimensional phenotypic features that describe tumor heterogeneity.

Key Points
• The neurite orientation dispersion and density imaging (NODDI) radiomics model showed promising performance for preoperative discrimination between glioblastoma and solitary brain metastasis.
• Compared with other tumor volumes of interest, the NODDI radiomics model based on solid tumor regions performed best in distinguishing the two types of tumors.
• The performance of the single-parameter NODDI model was inferior to that of the combined-parameter NODDI model.
On the Trajectory of a Light Small Rigid Body in an Incompressible Viscous Fluid
Authors: Bravin Marco , Nečasová Šárka 
Published: March 2024

AbstractIn this paper, we study the dynamics of a small rigid body in a viscous incompressible fluid in dimension two and three. More precisely we investigate the trajectory of the rigid body in the limit when its mass and its size tend to zero. We show that the velocity of the center of mass of the rigid body coincides with the background fluid velocity in the limit. We are able to consider the limit when the volume of the rigid bodies converges to zero while their densities are a fixed constant.
Can shear wave elastography predict the success of shock‑wave lithotripsy used in renal stones treatment? A prospective study
Authors: Samir Mohamed , Galaleldine Abdelrahim , El-Zayat Tarek , Eldin Noha Diaa , Mahmoud Mahmoud A. , Mostafa Diaa 
Published: March 2024

Abstract
Objective
To evaluate the usage of shear wave elastography (SWE) in the prediction of the success rate of shock‑wave lithotripsy (SWL) treatment of renal stones.

Patients and methods
In the present study, SWL was performed for 100 patients presented with renal stones in the duration from May 2022 to August 2023. The patients were divided into 2 groups SWL responders and non-responders. The study compared between the 2 groups in terms of baseline parameters of the patients as age, sex, body mass index (BMI), stone size, stone location, stone density (HU), skin-to-stone distance (SSD), the degree of hydronephrosis and the stone elastography values.

Results
There was no statistically significant relation between stone-free rate and degree of obstruction (p = 0.628), stone size (p = 0.390) upper calyceal location (p = 0.17), middle calyceal location (p = 0.66), and renal pelvis location (p = 1.0). Nevertheless, a statistically significant relation was found as regards lower calyceal location, stone density (HU), and stone Elastography values using multivariate analysis.

Conclusions
Measurement of stone density by shear wave elastography (SWE) can be used as an alternative to HU in decision-making before SWL. SWL success depends mainly on stone site, HU, and SWE values.
Rodent maze studies: from following simple rules to complex map learning
Authors: Wijnen Kjell , Genzel Lisa , van der Meij Jacqueline 
Published: March 2024

AbstractMore than 100 years since the first maze designed for rodent research, researchers now have the choice of a variety of mazes that come in many different shapes and sizes. Still old designs get modified and new designs are introduced to fit new research questions. Yet, which maze is the most optimal to use or which training paradigm should be applied, remains up for debate. In this review, we not only provide a historical overview of maze designs and usages in rodent learning and memory research, but also discuss the possible navigational strategies the animals can use to solve each maze. Furthermore, we summarize the different phases of learning that take place when a maze is used as the experimental task. At last, we delve into how training and maze design can affect what the rodents are actually learning in a spatial task.