bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Journey of Transition: The Formation, Deconstruction, and Reshaping of Du Fu’s Image in the Anglophone World
Authors: Zhao Hua 
Published: January 2025

Abstract
The portrayal of Du Fu in the English-speaking world has evolved from biographical studies to literary research since the 1920s. Over the past century, experts’ evaluations of Du Fu have shifted from simple commendation or criticism to a more complex and nuanced understanding of him as a flesh-and-blood figure. The relationship between Du Fu’s image and his poetry has undergone transformations from “poetry as the man” to “separation of poet and poetry” and finally to “unity of poet and poetry.” In terms of research methodology, it has evolved from adhering to the traditional poetics of “mutual verification between poetry and history” to interpreting the construction of Du Fu’s image from the perspective of New Historicism. Research-wise, there has been a shift from emphasizing definiteness to embracing indeterminacy. These developments which are largely overlooked by the existing scholarship on the topic have accompanied the entire process of the formation, deconstruction, and reconstruction of Du Fu’s image in the English-speaking world. The scholars and translators have not only continually updated the understanding of Du Fu’s image but have also resonated with domestic studies of Du Fu, providing a diverse methodological reference for the construction of Du Fu’s poetics. Furthermore, they have significantly promoted the dissemination of Du Fu and his poetry in the English-speaking world.
Dynamics of radial threshold solutions for generalized energy-critical Hartree equation
Authors: Li Xuemei , Liu Chenxi , Tang Xingdong , Xu Guixiang 
Published: January 2025

Abstract
In this paper, we study long time dynamics of radial threshold solutions for the focusing, generalized energy-critical Hartree equation and classify all radial threshold solutions. The main arguments are the spectral theory of the linearized operator, the modulational analysis and the concentration compactness rigidity argument developed by T. Duyckaerts and F. Merle to classify all threshold solutions for the energy critical NLS and NLW in [T. Duyckaerts and F. Merle,
Dynamic of threshold solutions for energy-critical NLS,
Geom. Funct. Anal. 18 2009, 6, 1787–1840,
T. Duyckaerts and F. Merle,
Dynamics of threshold solutions for energy-critical wave equation,
Int. Math. Res. Pap. IMRP 2008 2008, Art ID rpn002], later by D. Li and X. Zhang in [D. Li and X. Zhang,
Dynamics for the energy critical nonlinear Schrödinger equation in high dimensions,
J. Funct. Anal. 256 2009, 6, 1928–1961,
D. Li and X. Zhang,
Dynamics for the energy critical nonlinear wave equation in high dimensions,
Trans. Amer. Math. Soc. 363 2011, 3, 1137–1160] in higher dimensions. The new ingredient here is to solve the nondegeneracy of positive bubble solutions with nonlocal structure in

H
˙

1

⁢

(

ℝ
N

)

{\dot{H}^{1}(\mathbb{R}^{N})}

(i.e. the spectral assumption in [C. Miao, Y. Wu and G. Xu,
Dynamics for the focusing, energy-critical nonlinear Hartree equation,
Forum Math. 27 2015, 1, 373–447]) by the nondegeneracy result of positive bubble solution in

L
∞

⁢

(

ℝ
N

)

{L^{\infty}(\mathbb{R}^{N})}

in [X. Li, C. Liu, X. Tang and G. Xu,
Nondegeneracy of positive bubble solutions for generalized energy-critical Hartree equations,
preprint 2023, https://arxiv.org/abs/2304.04139] and the Moser iteration method in [S. Dipierro, M. Medina and E. Valdinoci,
Fractional Elliptic Problems with Critical Growth in the Whole of

ℝ
n

\mathbb{R}^{n}

,
Appunti. Sc. Norm. Super. Pisa (N. S.) 15,
Edizioni della Normale, Pisa, 2017], which is related to the spectral analysis of the linearized operator with nonlocal structure, and plays a key role in the construction of the special threshold solutions, and the classification of all threshold solutions.
Capable exam-taker and question-generator: the dual role of generative AI in medical education assessment
Authors: Qiu Yihong , Liu Chang 
Published: January 2025

Abstract

Objectives
Artificial intelligence (AI) is being increasingly used in medical education. This narrative review presents a comprehensive analysis of generative AI tools’ performance in answering and generating medical exam questions, thereby providing a broader perspective on AI’s strengths and limitations in the medical education context.

Methods
The Scopus database was searched for studies on generative AI in medical examinations from 2022 to 2024. Duplicates were removed, and relevant full texts were retrieved following inclusion and exclusion criteria. Narrative analysis and descriptive statistics were used to analyze the contents of the included studies.

Results
A total of 70 studies were included for analysis. The results showed that AI tools’ performance varied when answering different types of questions and different specialty questions, with best average accuracy in psychiatry, and were influenced by prompts. With well-crafted prompts, AI models can efficiently produce high-quality examination questions.

Conclusion
Generative AI possesses the ability to answer and produce medical questions using carefully designed prompts. Its potential use in medical assessment is vast, ranging from detecting question error, aiding in exam preparation, facilitating formative assessments, to supporting personalized learning. However, it’s crucial for educators to always double-check the AI’s responses to maintain accuracy and prevent the spread of misinformation.
Improved bounds for the numerical radius via a new norm on ℬ(ℋ)
Authors: Bhunia Pintu 
Published: January 2025

Abstract
In this paper, we introduce a new norm, christened the t-operator norm, on the space of all bounded linear operators defined on a complex Hilbert space

ℋ

{\mathcal{H}}

as

∥
T
∥

t

:=

sup

∥
y
∥

=
1

∥
x
∥

=
1

⁡

(

t
⁢

|

〈

T
⁢
x

,
y
〉

|

+

(

1
-
t

)

⁢

|

〈
x
,

T
⁢
y

〉

|

)

,

\|T\|_{t}:=\sup_{\begin{subarray}{c}\|y\|=1\\
\|x\|=1\end{subarray}}(t|\langle Tx,y\rangle|+(1-t)|\langle x,Ty\rangle|),

where

x
,
y

∈
ℋ

{x,y\in\mathcal{H}}

and

t
∈

[
0
,
1
]

{t\in[0,1]}

.
This norm satisfies

1
2

⁢

∥
T
∥

t

≤

w
⁢

(
T
)

≤

∥
T
∥

t

{\frac{1}{2}\|T\|_{t}\leq w(T)\leq\|T\|_{t}}

and we explore its properties. This norm characterizes those invertible operators that are also unitary. We obtain various inequalities involving the t-operator norm and the usual operator norm. We show that

w
⁢

(
T
)

≤

min

t
∈

[
0
,
1
]

⁢

∥
T
∥

t

{w(T)\leq\min_{t\in[0,1]}\|T\|_{t}}

improves the existing bounds

w
⁢

(
T
)

≤

1
2

⁢

(

∥
T
∥

+

∥

T
2

∥

)

w(T)\leq\frac{1}{2}\Bigl{(}\|T\|+\sqrt{\|T^{2}\|}\Bigr{)}

(see [F. Kittaneh,
A numerical radius inequality and an estimate for the numerical radius of the Frobenius companion matrix,
Studia Math. 158 2003, 1, 11–17])
and

w
⁢

(
T
)

≤

1
2

⁢

∥

T
*

⁢
T

+

T
⁢

T
*

∥

w(T)\leq\sqrt{\frac{1}{2}\|T^{*}T+TT^{*}\|}

(see [F. Kittaneh,
Numerical radius inequalities for Hilbert space operators,
Studia Math. 168 2005, 1, 73–80]). We show that

∥
T
∥

-

w
⁢

(
T
)

≤

min

|
λ
|

=
1

⁡

∥

T
+

λ
⁢

T
*

2

∥

{\|T\|-w(T)\leq\min_{|\lambda|=1}\|\frac{T+\lambda T^{*}}{2}\|}

.
Further, we study the t-operator norm of operator matrices.
Immunoinformatics-guided design of a multiepitope peptide vaccine targeting the receptor-binding domain of SARS-CoV-2 spike glycoprotein: insights from Indonesian samples
Authors: Faizal Irvan , Chandra Darrian , Tarwadi  , Pambudi Sabar , Nurhasanah Astutiati , Priambodo Rizky , Yusuf Muhammad 
Published: January 2025

Abstract
The emergence of new variants of SARS-CoV-2, including Alpha, Beta, Gamma, Delta, Omicron variants, and XBB sub-variants, contributes to the number of coronavirus cases worldwide. SARS-CoV-2 is a positive RNA virus with a genome of 29.9 kb that encodes four structural proteins: spike glycoprotein (S), envelope glycoprotein (E), membrane glycoprotein (M), and nucleocapsid glycoprotein (N). These proteins are vital for viral activity, with the S protein facilitating attachment and membrane fusion through the receptor-binding domain (RBD) located in the S1 subunit. The RBD recognizes and binds to the human angiotensin-converting enzyme 2 (ACE-2) protein. An immunoinformatic-aided design of a peptide-based multiepitope vaccine candidate targeting the RBD glycoprotein is constructed from the SARS-CoV-2 sequence data base from various regions of Indonesia (Jakarta, West Java, and Bali). The results show that the RBD region of with accession ID EPI_ISL_15982641 from West Java had the highest antigenicity of 0.5904. This isolate is non-toxic and non-allergenic and shows a total of 18 LBL epitopes, 72 CTL epitopes, and 98 HTL epitopes. The epitope that has the best overall binding affinity was GCHNKCAY for MHC-I and GGCVFSYVGCHNKCAYWV for MHC-II which show a binding affinity of −13.6 and −15.5 (kcal/mol), respectively. Therefore, this study aims to design an epitope vaccine candidate based on samples from Indonesia that has good characteristics and may have the potential to stimulate an immune response against SARS-CoV-2.
Inverse Sturm–Liouville problem with polynomials in the boundary condition and multiple eigenvalues
Authors: Chitorkin Egor Evgenevich , Bondarenko Natalia Pavlovna 
Published: January 2025

Abstract
In this paper, the inverse Sturm–Liouville problem with distribution potential and with polynomials of the spectral parameter in one of the boundary conditions is considered. We for the first time prove local solvability and stability of this inverse problem in the general non-self-adjoint case, taking possible splitting of multiple eigenvalues into account. The proof is based on the reduction of the non-linear inverse problem to a linear equation in the Banach space of continuous functions on some circular contour. Moreover, we introduce the generalized Cauchy data, which will be useful for investigation of partial inverse Sturm–Liouville problems with polynomials in the boundary conditions. Local solvability and stability of recovering the potential and the polynomials from the generalized Cauchy data are obtained. Thus, the results of this paper include the first existence theorems for solution of the inverse Sturm–Liouville problems with polynomial dependence on the spectral parameter in the boundary conditions in the case of multiple eigenvalues. In addition, our stability results can be used for justification of numerical methods.
Tow-parameter quasi-boundary value method for a backward abstract time-degenerate fractional parabolic problem
Authors: Besma Khelili , Nadjib Boussetila , Abderafik Benrabah 
Published: January 2025

Abstract
In this article, for a time-degenerate fractional parabolic equation, we study an inverse problem for restoration of the initial condition from the information of the final temperature profile. We show that the considered problem is ill-posed in the sense of Hadamard, i.e., small errors in the measurement data may lead to indefinitely large errors in the solutions. This ill-posed problem is regularized using a modified quasi-boundary value method, and some convergence estimates for the regularized solution are obtained using a priori and posteriori parameter choice rules. Finally, several numerical experiments are presented to demonstrate the accuracy and efficiency of the regularization method.
Approximate recovery of the Sturm–Liouville problem on a half-line from the Weyl function
Authors: Kravchenko Vladislav V. 
Published: January 2025

Abstract
The inverse problem of the reconstruction of the Sturm–Liouville problem on a
half-line from its Weyl function is considered. Given the Weyl function, we
obtain the potential in the Schrödinger equation and the boundary
condition at the origin. If the boundary condition is known, this problem is
equivalent to the inverse scattering problem of the recovery of the potential,
which is zero on a half-line, from a given reflection coefficient.
We develop a simple and direct method for solving the inverse problem. The
method consists of two steps. First, the Jost solution is computed from the
Weyl function, by solving a homogeneous Riemann boundary value problem.
Second, a system of linear algebraic equations is constructed for the
coefficients of series representations of three solutions of the
Schrödinger equation. The potential and the boundary condition are then
recovered from the first component of the solution vector of the system. A
numerical illustration of the functionality of the method is presented.
“What we ordered”: A multimodal framing analysis of the memetic representation of the Obidient movement in Nigeria
Authors: Adebomi Oluwayemisi Olusola 
Published: January 2025

Abstract
This study undertakes a multimodal framing analysis of the Obidient movement in Nigeria, with a view to exposing how Internet memes are deployed to advertise Peter Obi, the presidential candidate of the Labour Party (LP) in Nigeria’s 2023 election. Forty memes were purposively sampled from Nigerian WhatsApp platforms and data were analysed qualitatively using aspects of Kress and van Leeuwen (2006. Reading images: The grammar of visual design, 2nd edn. London: Routledge) grammar of visual design and Kuypers (2002. Press bias and politics: How the media frame controversial issues. Westport, CT: Praeger, 2009. Framing analysis. In Kuypers Jim (ed.), Rhetorical criticism: Perspectives in action, 181–204. London: Lexington Books) rhetorical framing analysis. The findings reveal that the meme producers employed contextual variables such as labels, metaphors, visuals, salience and keywords to frame Peter Obi, the Obidient movement and the LP as a valid alternative in the presidential election. The study also shows the deployment of semiotic concepts such as salience, social distance, attitude and framing to positively represent the Obidient movement and Obi. The study concludes that the text producers deploy memes to portray the Obidients and the Labour Party presidential candidate as victims of an incredible electoral process, and that the memes are created to reveal broader socio-cultural realities, especially the predominance of religious and ethnic politics in the Nigerian context.
Diabetes-related cognitive impairment: Mechanisms, symptoms, and treatments
Authors: Yu Xueting , He Huimei , Wen Jie , Xu Xiuyuan , Ruan Zhaojuan , Hu Rui , Wang Fang , Ju Haibing 
Published: January 2025

Abstract

Background
Diabetes-related cognitive impairment is increasingly recognized as a significant complication, profoundly impacting patients’ quality of life. This review aims to examine the pathophysiological mechanisms, clinical manifestations, risk factors, assessment and diagnosis, management strategies, and future research directions of cognitive impairment in diabetes.

Methodology
A comprehensive literature search was conducted using PubMed, Medline, and other medical databases to identify, review, and evaluate published articles on cognitive impairment in diabetes. The search focused on studies examining pathophysiology, clinical presentations, risk factors, diagnostic approaches, and management strategies.

Results
The review of current literature revealed that chronic hyperglycemia, insulin resistance, and vascular factors are major contributing factors to cognitive deficits in diabetes. Clinical manifestations include impairments in attention, memory, executive function, visuospatial abilities, and language. Risk factors encompass disease duration, glycemic control, presence of complications, age, education level, and comorbidities. Assessment tools include cognitive screening instruments, neuropsychological testing, and neuroimaging techniques. Management strategies involve glycemic control optimization, lifestyle modifications, cognitive training, and pharmacological interventions.

Conclusion
This review highlights the significant prevalence and impact of cognitive impairment in diabetes, resulting from complex metabolic and vascular disturbances. Early detection and multifaceted interventions are crucial for preserving cognitive function and improving patient outcomes. Future research should focus on neuroprotective strategies, biomarker identification, and personalized approaches. Collaborative efforts between clinicians and researchers are essential to effectively address this growing healthcare challenge and enhance the quality of life for individuals with diabetes-related cognitive impairment.
Risk factors for severe adverse drug reactions in hospitalized patients
Authors: Petrović Nemanja Z. , Pejčić Ana V. , Milosavljević Miloš N. , Janković Slobodan M. 
Published: January 2025

Abstract

Background
Severe adverse drug reactions (sADRs) are becoming increasingly common nowadays. The incidence of sADRs is approaching 6.7%, and the incidence of fatal adverse reactions is 0.32% in hospitalized patients. Of these, 48.5% are, at least potentially, preventable.

Aims
This study’s objective was to determine factors associated with the occurrence and preventability of sADRs occurring at the tertiary level.

Methods
A case-control retrospective-prospective clinical observational study design was used for the study. The research cohort included patients hospitalized at the University Clinical Center (UCC) in Kragujevac, Serbia, from January 1, 2019 to January 1, 2024. The research comprised 147 individuals who were admitted to the UCC in Kragujevac. There were 49 patients with sADRs and 98 controls.

Results
Significant factors associated with sADRs in our study were a total number of consultations (ORadjusted = 5.60), Charlson comorbidity index (ORadjusted = 0.30), C-reactive protein (ORadjusted = 1.07), prescribed antihistamines (ORadjusted = 14.37), and antihypertensives (ORadjusted = 0.15).

Conclusion
We have identified the factors that are associated with sADRs should be kept in mind while working with patients at the tertiary level. Early detection of those factors may help with early notification of sADRs and their prevention.
Defending Relational Autonomy
Authors: Humphries James 
Published: January 2025

Abstract
Relational accounts of autonomy such as those advanced by Rebekah Johnston (2017. “Personal Autonomy, Social Identity, and Oppressive Social Contexts.” Hypatia 32 (2): 312–28) and particularly Marina Oshana (1998; “Personal Autonomy and Society.” Journal of Social Philosophy 29 (1): 81–102. 2006; Personal Autonomy in Society. Aldershot: Ashgate; 2015. “Is Social-Relational Autonomy a Plausible Ideal?” In Personal Autonomy and Social Oppression: Philosophical Perspectives, edited by M. Oshana. New York: Routledge) are often thought to be distinctively vulnerable to paternalist and perfectionist objections, as well as implying in a troublesome and/or implausible way that many of us are much less autonomous than is standardly thought. I argue that although constitutively relational accounts are indeed perfectionist, they are so in such a “thin” way that we should not be concerned by it; that they are not paternalist (and indeed are necessarily hostile to the sorts of power relations necessary for paternalism); and that the charge that relational accounts demand an unattractively high bar for autonomy is misdirected – we really do lack autonomy in perhaps surprising but plausible ways and for the account to imply this is a problem for the world rather than the theory.
A review of 3D bioprinting for organoids
Authors: Li Zeqing , Chen Long , Wu Jialin , Chen Yikang , Zhu Yizhun , Li Gang , Xie Guoxi , Tang Guosheng , Xie Maobin 
Published: January 2025

Abstract
Current two-dimensional (2D) cell models for effective drug screening suffer from significant limitations imposed by the lack of realism in the physiological environment. Three-dimensional (3D) organoids models hold immense potential in mimicking the key functions of human organs by overcoming the limitations of traditional 2D cell models. However, current techniques for preparation of 3D organoids models had limitations in reproducibility, scalability, and the ability to closely replicate the complex microenvironment found in vivo. Additionally, traditional 3D cell culture systems often involve lengthy and labor-intensive processes that hinder high-throughput applications necessary for a large-scale drug screening. Advancements in 3D bioprinting technologies offer promising solutions to these challenges by enabling precise spatial control over cell placement and material composition, thereby facilitating the creation of more physiologically relevant organoids than current techniques. This review provides a comprehensive summary of recent advances in 3D bioprinting technologies for creating organoids models, which begins with an introduction to different types of 3D bioprinting techniques (especially focus on volumetric bioprinting (VBP) technique), followed by an overview of bioinks utilized for organoids bioprinting. Moreover, we also introduce the applications of 3D bioprinting organoids in disease models, drug efficiency evaluation and regenerative medicine. Finally, the challenges and possible strategies for the development and clinical translation of 3D bioprinting organoids are concluded.
Advertising fragrance through visual and audible information: a multimodal metaphor analysis of perfume commercials
Authors: Xu Jiaqi , Yang Zi 
Published: January 2025

Abstract
According to conceptual metaphor, this study finds and categorizes three metaphors in perfume commercials: FRAGRANCE IS ATTRACTION, FRAGRANCE IS EMOTION, and FRAGRANCE IS OBJECT. Drawing on the analytical tool of multimodal metaphor analysis, the study further analyzes how perfume commercials complete the metaphorical operation mechanism of mapping from visual and auditory modes to olfactory. It is found that, different from the traditional definition of a concrete source domain and an abstract target domain in conceptual metaphors, the joint participation of multiple modes in commercials may cause a reversal of the degree of abstraction between the source and the target. Due to the limitation of transmitting olfactory information in fragrance commercials where the audience can only receive audible and visual information, “scent” becomes a more abstract concept, while the abstract concepts of “attraction” and “emotion” become a more concrete source. Additionally, the three metaphors’ advertising effects in fragrance commercials are evaluated. Theoretical implications for future studies in multimodal metaphor analysis are also discussed.
Hybrid Analytics in Smart Manufacturing Systems—Addressing the Manufacturing Data Challenge
Authors: Wuest Thorsten 
Published: January 2025

Abstract
Smart manufacturing has opened tremendous opportunities to access, collect, and analyze a plethora of process and product data. Simultaneously, the manufacturing domain presents unique challenges regarding data for current modeling approaches—be it machine learning or physics-based models. In this paper, we highlight the opportunity presented by combining data-driven and physics-based models in a hybrid approach to address these data challenges. The paper provides a depiction of the unique data challenges in the manufacturing domain, illustrates the different facets of data analytics in manufacturing (including physics-based, data-driven, and hybrid modeling), and provides a qualitative mapping of fit for the different modeling classes on the data challenge dimensions.