bluuebunny/crossref_metadata_2025_split huggingface dataset:
Milk-derived bioactive peptides
Authors: Kashung Phareichon , Karuthapandian Devi 
Published: January 2025

AbstractBioactive peptides are the functional concept that refer to fragments of proteins that provide both functional and nutritional benefits as a functional component. Milk has been widely exploited as a source of diverse bioactive peptides. Bioactivity of peptides depends on amino acid composition and sequence specific to bioactivity. The production of bioactive peptides can be carried out through classical and bioinformatics approaches. In the classical approach, enzymatic hydrolysis, simulated digestion and hydrolysis by microbial enzymes are included. In the bioinformatics approach, databases, QSAR modeling, molecular docking and design of experiments (DoE) with response surface methodology are employed for identification and characterization of bioactive peptides from milk proteins. Milk-derived peptides have been identified to be antihypertensive, anti-diabetic, cytomodulatory, antioxidative, antimicrobial, and mineral binding peptides with wide applications as nutraceuticals in commercial products and food preservatives in food industry. Hence, this review has attempted to provide insight into the approaches and applications of milk- derived bioactive peptides with nutraceuticals properties in the development of functional foods.
Graphical Abstract
Rapunzel syndrome, endoscopy solves the enigma: a case report
Authors: Ramadan Ahmed , Ahmed Nancy A. , Abdelaziz Mohammed. N. , El-Magd El-Sayed Abou 
Published: January 2025

AbstractTrichobezoars retain undigested material in the stomach, usually hair or hair-like fibers. Trichobezoars can cause gastrointestinal obstruction and Rapunzel syndrome, a perforation linked to pressure necrosis when they spread into the small intestine. This case study features a 16-year-old female patient complaining of epigastric pain. Computed tomography and abdominal ultrasonography yielded inconclusive results. A sizable clump of hair that stretched from the gastric body to the duodenum was seen on the upper endoscopy. The patient was first referred to a surgeon to have the hair removed, and then to the psychiatry department.
Predicting cardiovascular disease in patients with mental illness using machine learning
Authors: Bernstorff Martin , Hansen Lasse , Olesen Kevin Kris Warnakula , Danielsen Andreas Aalkjær , Østergaard Søren Dinesen 
Published: January 2025

Abstract

Background
Cardiovascular disease (CVD) is twice as prevalent among individuals with mental illness compared to the general population. Prevention strategies exist but require accurate risk prediction. This study aimed to develop and validate a machine learning model for predicting incident CVD among patients with mental illness using routine clinical data from electronic health records.

Methods
A cohort study was conducted using data from 74,880 patients with 1.6 million psychiatric service contacts in the Central Denmark Region from 2013 to 2021. Two machine learning models (XGBoost and regularised logistic regression) were trained on 85% of the data from six hospitals using 234 potential predictors. The best-performing model was externally validated on the remaining 15% of patients from another three hospitals. CVD was defined as myocardial infarction, stroke, or peripheral arterial disease.

Results
The best-performing model (hyperparameter-tuned XGBoost) demonstrated acceptable discrimination, with an area under the receiver operating characteristic curve of 0.84 on the training set and 0.74 on the validation set. It identified high-risk individuals 2.5 years before CVD events. For the psychiatric service contacts in the top 5% of predicted risk, the positive predictive value was 5%, and the negative predictive value was 99%. The model issued at least one positive prediction for 39% of patients who developed CVD.

Conclusions
A machine learning model can accurately predict CVD risk among patients with mental illness using routinely collected electronic health record data. A decision support system building on this approach may aid primary CVD prevention in this high-risk population.
Landscape of Multilocus Inherited Neoplasia Allele Syndrome in Mexican Population
Authors: Aguilar Dione , Garza-Rodríguez María L. , Pérez-Ibave Diana C. , Muñiz-Garza Carolina E. , Treviño Victor , Villarreal-Garza Cynthia M. , Vidal-Gutiérrez Oscar , Burciaga-Flores Carlos H. 
Published: January 2025

PURPOSE
Hereditary cancer syndromes (HCS) explain 5%-10% of all cancer cases. Patients with more than one germline pathogenic variant (GPV) result in a clinical syndrome known as multilocus inherited neoplasia allele syndrome (MINAS). In recent years, an increasing number of MINAS cases have been reported. This study aims to identify the prevalence of MINAS and determine the effect of two GPVs in HCS on patients from Northern Mexico.

METHODS
Patients (N = 2,282) were recruited from four public oncology centers and two private institutions with hereditary cancer detection programs in Nuevo León, México. A medical geneticist collected all the patient's clinical data and gave genetic counseling. Patients with MINAS were detected using multigene panels to detect GPVs; findings were classified according to American College of Medical Genetics and Genomics guidelines. The genetic data of patients with MINAS were evaluated by their frequency and combination.

RESULTS

We found 386 (16.9%) patients with one or more variants and 23 (5.9%) MINAS patients (all females). The most frequent diagnosis was breast cancer (BC) in 20 (86.95%) cases, whereas 16 (69.56%) had triple-negative BC. We found 13 patients with
BRCA1
GPVs (56.52%) as the most frequent, followed by
MUTYH
with five cases (21.73%). The combinations of
BRCA1/CHEK2
,
BRCA1/CDKN2A
, and
BRCA1/BRCA2
were the most frequent. We found no atypical presentation in the cohort.

CONCLUSION
This is the first Mexican MINAS report and the largest Latin American cohort. We detected a higher prevalence of MINAS than other populations (5.9%). We found a tendency for additive phenotypical effect and, in some MINAS combinations, a modification in the age of diagnosis.
New Ionic Liquid Forms of Antituberculosis Drug Combinations for Optimized Stability and Dissolution
Authors: Rasmy Hanan E. , Abouelmagd Sara A. , Ibrahim Elsayed A. 
Published: January 2025

Abstract
Isoniazid (INH) and rifampicin (RIF) are the two main drugs used for the management of tuberculosis. They are often used as a fixed drug combination, but their delivery is challenged by suboptimal solubility and physical instability. This study explores the potential of active pharmaceutical ingredient-ionic liquids (API-ILs) to improve the physicochemical and pharmaceutical properties of INH and RIF. Antitubercular drugs, INH, or RIF, were paired with different counter ions (ascorbic acid (AsA), citric acid (CA), tartaric acid (TA), benzoic acid (BA), salicylic acid (SA), and p-amino salicylic acid (PAS)) using the solvent evaporation method. INH and RIF API-ILs were formed successfully using AsA and CA counter ions. IL formation was examined and analyzed using Fourier transform infrared (FTIR) spectroscopy, x-ray powder diffraction (XRPD), and polarized optical microscopy (POM). XRPD and POM confirmed their amorphous nature, while FTIR analysis demonstrated the contribution of hydrogen bonding to IL formation. IL formation enhanced the storage stability of the INH + RIF mixture in the presence of CA. Moreover, RIF-CA IL significantly increased the rate and extent of RIF dissolution. An effect that is unattainable with the RIF/CA physical mixture. Thus, API-IL formation not only enhances RIF dissolution but also facilitates the preparation of stable, compatible INH-RIF combinations.

Graphical Abstract
Derivation of the deformed Heisenberg algebra from discrete spacetime
Authors: Shah Naveed Ahmad , Ashraf S. S. Zulqarnayn , Shaikh Aasiya , Yamin Yas , Sahoo P. K. , Bhat Aaqid , Lone Suhail Ahmad , Faizal Mir , Ahsan M. A. H. 
Published: January 2025

Abstract
Although the deformation of the Heisenberg algebra by a minimal length has become a central tool in quantum gravity phenomenology, it has never been rigorously obtained and is often derived using heuristic reasoning. In this study, we move beyond the heuristic derivation of the deformed Heisenberg algebra and explicitly derive it using a model of discrete spacetime, which is motivated by quantum gravity. Initially, we investigate the effects of the leading order Planckian lattice corrections and demonstrate that they precisely match those suggested by the heuristic arguments commonly used in quantum gravity phenomenology. Furthermore, we rigorously obtain deformations from the higher-order Planckian lattice corrections. In contrast to the leading-order corrections, these higher-order corrections are model dependent. We select a specific model that breaks the rotational symmetry, as the importance of such rotational symmetry breaking lies in the relationship between CMB anisotropies and quantum gravitational effects. Based on the mathematical similarity of the Planckian lattice used here with the graphene lattice, we propose that graphene can serve as an analogue system for the study of quantum gravity. Finally, we examine the deformation of the covariant form of the Heisenberg algebra using a four-dimensional Euclidean lattice.
What Can the Patterns of Renovation Reveal?
Authors: Cho Yong 
Published: January 2025

Abstract
From 1036 to 1227, Tangut elites actively sponsored renovations at Dunhuang's famed Mogao Caves. Employing a data-driven approach, this article reveals that Tangut elites, when deciding which caves to renovate, were more likely to choose those that were originally constructed when Dunhuang was under Tibetan rule. Closer analysis of the actual renovation projects Tangut elites sponsored suggests that their renovation work was a highly political activity. Engaging with the historical caves from the Tibetan period and inserting their own traces within them allowed the Tangut elites to forge a distinctive historical continuity with this earlier period and establish their own cultural and political authority. By demonstrating the statistical and the art historical significance of renovation patterns at Dunhuang, this article argues that Mogao was a site that possessed multiple historical genealogies and imagined lineages.
“It Tastes like Home to Me”
Authors: Takita-Ishii Sachiko , Cordeiro Veridiana Domingos 
Published: January 2025

Abstract
A two-way immigration flow has been established between Brazil and Japan, and many Japanese-Brazilian families have their memories shaped by these transnational movements. By collecting life stories from first-, second-, third-, and fourth-generation women from the same family, we found that their memories are highly intermingled with food-related memories, which embrace sensory perceptions. From in-depth interviews collected in Brazil and Japan, we draw understanding of how flavor, sensations, and even practices involved in eating and cooking frame the memories of Japanese-Brazilian women. The theoretical discussion plays a very important role in the article because we discuss new developments inside memory studies and question the Cartesian, Western, and rationalized ways of interpreting mnemonic narratives.
Reverse Digital Seriality
Authors: Cho Heekyoung 
Published: January 2025

Abstract
This article discusses how the platformization driven by webcomics and web novels began to change so-called serious literature. It does so through an examination of the recent phenomenon of digital platforms disassembling novels originally published in book form into multiple installments for digital serialization. Going beyond the simple e-book publication of a printed version, this unbundling and repackaging of a printed book into digital serial installments lays bare the precarious status of books. The digital serials of books are not merely a formal fragmentation of the entity of a book. The editor's decisions on where to divide and how to present the narrative for each installment radically affect the way the novel is interpreted. Every word remains the same, so the content itself seems to be intact, but both the platform environments and the various editing and design decisions involved in the unbundling and repackaging of the novel substantially affect the reader's experience of the seemingly unaltered text. Based on the specific case study of a digital serial of Kim Chiyŏng, Born 1982, this article further explores long-standing but still important questions about the materiality and future of the book and of literature in the digital age.
The 1265 Dual Stelae
Authors: Wang Jinping 
Published: January 2025

Abstract
This article explores an understudied aspect of the influential Quanzhen Daoist movement in thirteenth-century North China under Mongol rule: installing genealogical stelae as a critical mechanism in lineage making. It does so through a case study of two parallel genealogical stelae produced by a local Daoist community in 1265 for its male and female monastics. The article makes two arguments, one historical and the other methodological. With respect to the historical argument, it demonstrates how genealogical stelae not only reified Quanzhen lineage-making but also projected hereditary political power and reinforced a troubling discourse on women's subservience within religious institutions. Regarding the methodological argument, it highlights the importance of situating epigraphic narratives in the material, visual, and spatial contexts in which they were produced and represented. Detailed attention to all the dimensions of stelae allows us to discover surprisingly rich information stored in and communicated by them.
Fiercely Independent, Tentatively National
Authors: Hui Yeo Min 
Published: January 2025

Abstract
Wildly popular in the 1960s and fondly remembered today as “Singapore's own Bond,” “Malaysia's own Bond,” and “Malay James Bond,” the Jefri Zain and Nora Zain films (1966–68) occupy a significant spot in film and cultural history. Yet very little has hitherto been written about these films. Particularly worth probing is how these films engaged with the global Bondmania and political zeitgeist of the tumultuous 1960s. It remains little known that many of these films were adapted contemporaneously from Hong Kong Mandarin James Bond films and that the Zain heroes were deeply embroiled in then–newly independent Singapore's national politics both on-screen and off-screen. Bringing this history to light unfolds a new, critical perspective on these popular icons. More importantly, through examining the films’ peculiar Britain–Hong Kong–Singapore/Malaysia adaptation route, this article illuminates the complex geopolitics that undergird James Bond film remakes set in former British colonies. It demonstrates that, in the case of Singapore and Malaysia, remaking James Bond films was both a consequence, and an assertion, of postcolonial independence. The films’ on-screen manifestations and off-screen motivations signify a particular expression of postcolonial independence—fiercely independent, tentatively national—that is specific to their extraordinary circumstantial conditions.
Development of an Active Cerebrovascular Autoregulation Model Using Representation Learning: A Proof of Concept Study With Experimental Data
Authors: Kempen Bavo , Klein Samuel , De Sloovere Veerle , De Vos Maarten , Depreitere Bart 
Published: January 2025

BACKGROUND AND OBJECTIVES:
It remains a challenge to monitor cerebrovascular autoregulation (CA) reliably and dynamically in an intensive care unit. The objective was to build a proof-of-concept active CA model exploiting advances in representation learning and the full complexity of the arterial blood pressure (ABP) and intracranial pressure (ICP) signal and outperform the pressure reactivity index (PRx).

METHODS:
A porcine cranial window CA data set (n = 20) was used. ABP and ICP signals were preprocessed and downsampled to 20 Hz. Quadriphasic CA state labels were assigned to each piglet's CA curve and projected on their preprocessed ABP and ICP time series. Windowed ABP and ICP segments of 300 seconds, reflecting active CA, were used to optimize a neural network to reconstruct its own input. Reconstruction error of ABP and ICP were compared between active CA and inactive CA, and assessed together with PRx over quadriphasic CA states.

RESULTS:
The study confirmed that the optimized model achieved stellar reconstruction quality of ABP and ICP segments that derived from active CA while reconstruction quality deteriorated for segments that came from inactive CA. ABP and ICP reconstruction errors steadily increased concurrently with cerebral blood flow deviation from baseline. A significant interaction between variable and CA state showed that the model captured the differential behavior of CA with increasing vs decreasing cerebral perfusion pressures and offered improved discriminative ability regarding PRx.

CONCLUSION:
The present work showed that an active CA model can be built using advanced representation learning and the full complexity of 300-second ABP and ICP segments. On assessment in an experimental data set, relevant CA state information was present in both lower and higher frequencies of ABP and ICP. Improved discriminative ability between CA states was attained regarding PRx, which focuses only on slow-wave ABP and ICP information.
A protein interaction map of the myosin Myo2 reveals a role for Alo1 in mitochondrial inheritance in yeast
Authors: Chelius Xenia , Rausch Nathalie , Bartosch Veronika , Klecker Maria , Klecker Till , Westermann Benedikt 
Published: January 2025

ABSTRACT
Budding yeast cells multiply by asymmetric cell division. During this process, the cell organelles are transported by myosin motors along the actin cytoskeleton into the growing bud, and, at the same time, some organelles must be retained in the mother cell. The ordered partitioning of organelles depends on highly regulated binding of motor proteins to cargo membranes. To search for novel components involved in this process, we performed a protein fragment complementation screen using the cargo-binding domain of Myo2, the major organelle transporter in yeast, as bait and a genome-wide strain collection expressing yeast proteins as prey. One robust hit was Alo1, a poorly characterized D-arabinono-1,4-lactone oxidase located in the mitochondrial outer membrane. We found that mutants lacking Alo1 exhibited defects in mitochondrial morphology and inheritance. During oxidative stress, dysfunctional mitochondria are immobilized in the mother in wild-type cells. Intriguingly, overexpression of ALO1 restored bud-directed transport of mitochondria under these conditions. We propose that Alo1 supports the recruitment of Myo2 to mitochondria and its activity is particularly important under oxidative stress.
Behavioural responses to acute warming precede critical shifts in the cellular and physiological thermal stress responses in a salmonid fish (brook trout, Salvelinus fontinalis)
Authors: Durhack Travis C. , Thorstensen Matt J. , Mackey Theresa E. , Aminot Mélanie , Lawrence Michael J. , Audet Céline , Enders Eva C. , Jeffries Ken M. 
Published: January 2025

ABSTRACT
From a conservation perspective, it is important to identify when sub-lethal temperatures begin to adversely impact an organism. However, it is unclear whether, during acute exposures, sub-lethal cellular thresholds occur at similar temperatures to other physiological or behavioural changes, or at temperatures associated with common physiological endpoints measured in fishes to estimate thermal tolerance. To test this, we estimated temperature preference (15.1±1.1°C, mean±s.d.) using a shuttle box, agitation temperature (22.0±1.4°C), defined as the point where a fish exhibits a behavioural avoidance response, and the upper thermal limit (CTmax, 28.2±0.4°C) for 1 year old brook trout (Salvelinus fontinalis) acclimated to 10°C. We then acutely exposed a different subset of fish to the mean temperatures associated with the pre-determined physiological endpoints and sampled tissues when they reached the target temperature or after 60 min of recovery at 10°C for transcriptomic analysis. We used qPCR to estimate mRNA transcript levels of genes associated with heat shock proteins, oxidative stress, apoptosis and inducible transcription factors. A major shift in the transcriptome response occurred once the agitation temperature was reached, which may identify a possible link between the cellular stress response and the behavioural avoidance response.
Multispectral polarization image demosaicing using redundant Stokes representation
Authors: Shinoda Kazuma , Ishiuchi Tomoharu 
Published: January 2025

This paper proposes a deep-learning-based demosaicing algorithm, multispectral polarization demosaicing with redundant Stokes (MPD-RS), designed for multispectral polarization filter arrays. The proposed MPD-RS effectively learns the correlation across spatial, spectral, and polarization domains, utilizing a newly constructed dataset of multispectral polarization images (MSPIs). Initially, MPD-RS performs interpolation using a position-variant convolutional kernel to generate a preliminary MSPI. This is followed by conversion to a new Stokes representation, to our knowledge, where the data is decomposed into four components, including a term to capture polarization redundancy. The intensity component is processed with a multi-stage three-dimensional convolutional network, while the remaining components are handled by a lightweight, attention-based network. Experimental results validate the effectiveness of MPD-RS, demonstrating superior peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) for MSPI reconstruction, with an average PSNR improvement of 3.873 dB over the Global Cross-Attention Network, as well as reduced mean squared error in Stokes parameters. The method maintains high accuracy across images with a diverse range of polarization levels, highlighting its adaptability.