bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gordana Kuić’s “Balkan Trilogy”: On the Intimacy of Sephardi Matrilineal Legacies
Authors: Pekov Alex 
Published: February 2025

Abstract
This article studies Gordana Kuić’s autofictional, postmemorial, and translingual Balkan trilogy as an example of contemporary Jewish Sephardi literary production in Bosnian/Serbian. Focusing on matrilineal legacies, Kuić approaches Sephardi identity not from a purely historiographical perspective, but by mobilizing an affective and intimate language. I borrow Ann Laura Stoler’s term “the intimate,” in order to access Kuić’s matrifocal writing—as constant “intimations” of Sephardi women’s subjectivities in the text. The Balkan trilogy performs Sephardi identity by engaging translingual tools, interspersing Bosnian/Serbian with Judeo-Spanish, and punctuating affective vocabularies. Reading Kuić’s work thus allows for a more nuanced understanding of Sephardi presence in the Western Balkans and a deeper appreciation of the internal diversity of contemporary Serbian literature.
LICEDB: light industrial core enzyme database for industrial applications and AI enzyme design
Authors: Gong Lei , Liu Fufeng , Zhang Chuanxi , Ming Yongfan , Mou Yulan , Yuan ZhaoTing , Jiang Haiming , Gao Bei , Lu Fuping , Zhang Lujia 
Published: February 2025

Abstract
Enzymes, serving as eco-friendly catalysts, are progressively supplanting traditional chemical catalysts in light industry sectors such as feed, papermaking, textiles, detergents, leather, and sugar production. Despite this advancement, the variability in the performance of natural enzymes and the fragmentation and diversity of existing data formats pose significant challenges to researchers. Furthermore, AI-driven enzyme design is limited by the quality and quantity of available data. To address these issues, we introduce the light industrial core enzyme database (LICEDB), the first database dedicated exclusively to managing and standardizing enzymes for light industry applications. LICEDB, with its integrated modules for data retrieval, similarity analysis, and structural analysis, will enhance the efficient industrial application of enzymes and strengthen AI-driven predictive research, thereby advancing data sharing and utilization in the field of enzyme innovation.
Database URL: http://lujialab.org.cn/on-line-databases/
Development of automatic landmark identification for mandible using curvature-based registration
Authors: Yonemitsu Yunaho , Uezono Masayoshi , Ogasawara Takeshi , Rathnayake Rathnayake Mudiyanselage Migara Harsaka Bandara , Nakajima Yoshikazu , Moriyama Keiji 
Published: February 2025

Abstract

Objectives
The purpose of this study was to propose an automatic landmark identification method using curvature to improve the reproducibility of landmark identification and compare its performance with that of a previously established method.

Methods
A total of 30 patients with facial deformities associated with mandibular prognathism were included. CT images were utilized to construct 3D surface models, followed by an analysis of their surface curvature distribution. A statistical shape model (SSM) was created as a deformable mean model to identify the 6 landmarks. These landmarks were automatically identified in each patient model by registering the SSM in the individual patient models. Two registration methods were employed: the proposed curvature-based and previously established methods. Both methods involved rigid and nonrigid registration processes; however, the proposed method included additional curvature-based registration using a curvature-driven, nonrigid iterative closest point (ICP) algorithm. The Euclidean distances between the manually and automatically identified landmarks were measured and compared between the 2 methods.

Results
The Euclidean distance was significantly lower in the gonion and right coronoid process when the proposed method was used compared to the previous method. No significant differences were observed in the condylion or left coronoid process.

Conclusions
These findings suggest that the curvature-based registration successfully automates landmark identification on 3D mandibular images, providing higher accuracy in convex regions and improved reproducibility in landmark identification.
Challenges of conventional and novel approaches to clinical trial designs in cardiovascular medicine
Authors: Doenst Torsten , Kirov Hristo , Bagiella Emilia , Scherag André , Omerovic Elmir 
Published: February 2025

Abstract
Randomized clinical trials (RCT) are the gold standard for guiding treatment recommendations. Their results reflect the average treatment effect generated in samples from a selected patient population. Observational studies may serve as external validation of RCT findings, but are influenced by various biases. Conducting clinical trials in the cardiovascular field faces many challenges, including financial constraints, end-point selection including determining their value for doctors and patients, and assessment of long-term treatment effects. In addition, there is renewed debate about the optimal statistical approach for the evaluation of trial outcomes. These factors occur in parallel to efforts to develop novel clinical trial designs that address the above challenges. Pragmatic trials, for instance, may use data already collected during patient care. As alternative to fixed sample size, two-arm designs, adaptive trial designs have been introduced, that allow for pre-specified adaptations throughout a trial. Master protocols are used to govern platform, umbrella and basket trial designs all allowing to address more than one aspect at a time (e.g., the impact of multiple treatments on a single condition or a single treatment on multiple conditions). Cluster designs may allow the evaluation of new treatments into clinical routine. Here, we review strengths and limitations of conventional and novel trial designs. We provide a general description of current topics with a focus on treatment comparisons in the field of cardiovascular research.
Individual patient data meta-analysis of paclitaxel-coated balloons vs. drug-eluting stents for small-vessel coronary artery disease: the ANDROMEDA study
Authors: Fezzi Simone , Giacoppo Daniele , Fahrni Gregor , Latib Azeem , Alfonso Fernando , Colombo Antonio , Mahfoud Felix , Scheller Bruno , Jeger Raban , Cortese Bernardo 
Published: February 2025

Abstract

Background and Aims
In randomized clinical trials of patients undergoing percutaneous coronary intervention (PCI) for de novo small-vessel coronary artery disease (SV-CAD), paclitaxel-coated balloon (PCB) angioplasty showed mid-term angiographic or clinical non-inferiority to drug-eluting stent (DES) implantation. Nevertheless, these trials have sample size limitations, and the relative safety and efficacy beyond the first year remain uncertain.

Methods
The ANDROMEDA study was a collaborative, investigator-initiated, individual patient data meta-analysis comparing 3 year clinical outcomes between PCB angioplasty and DES implantation for the treatment of de novo SV-CAD. Multiple electronic databases (PubMed, Scopus, ScienceDirect, and Web of Science) were searched from May 2010 to June 2024 to identify eligible trials. All the following eligibility criteria were required: (i) random allocations of treatments; (ii) patients with SV-CAD; (iii) treatment with PCB or DES; and (iv) clinical follow-up of at least 36 months. The primary and co-primary endpoints were major adverse cardiac events (MACE) and target lesion failure (TLF), respectively. The protocol was registered with PROSPERO (CRD42023479035).

Results
Individual patient data from three randomized trials, including a total of 1154 patients and 1360 lesions, were combined. At 3 years, PCB was associated with a lower risk of MACE compared with DES [hazard ratio (HR) 0.67, 95% confidence interval (CI) 0.47–0.96], due to a lower risk of myocardial infarction and target vessel revascularization. This benefit persisted after multivariable adjustment (HR 0.75, 95% CI 0.58–0.96), but did not reach statistical significance in the two-stage analysis (HR 0.67, 95% CI 0.43–1.04). At the landmark analysis, the risk of MACE between groups was consistent over time. At 3 years, TLF was not significantly different between PCB and DES groups. Reconstructed time-to-event information from a fourth trial was included in a sensitivity analysis (1384 patients and 1590 lesions), showing consistent results in terms of TLF (HR 0.87, 95% CI 0.63–1.20). The comparison between PCB and second-generation DES did not reveal significant differences in 3 year TLF (HR 1.03, 95% CI 0.70–1.50).

Conclusions
In patients undergoing PCI for de novo SV-CAD, PCB angioplasty is associated with a reduction in MACE and a non-significant difference in TLF at 3 year follow-up compared with DES implantation. The restriction of the comparator group to second-generation DES does not alter the main conclusions. Larger trials comparing contemporary devices at a more prolonged follow-up are warranted to confirm these findings.
Bounded Distance Equivalence of Cut-and-Project Sets and Equidecomposability
Authors: Grepstad Sigrid 
Published: February 2025

Abstract
We show that given a lattice $\Gamma \subset \mathbb{R}^{m} \times \mathbb{R}^{n}$, and projections $p_{1}$ and $p_{2}$ onto $\mathbb{R}^{m}$ and $\mathbb{R}^{n}$, respectively, cut-and-project sets obtained using Jordan measurable windows $W$ and $W^{\prime}$ in $\mathbb{R}^{n}$ of equal measure are bounded distance equivalent only if $W$ and $W^{\prime}$ are equidecomposable, up to measure zero, by translations in $p_{2}(\Gamma )$. As a consequence, we obtain an explicit description of the bounded distance equivalence classes in the hulls of simple quasicrystals.
Examination Of The Role Of The Rumen In Zinc Metabolism
Authors: Genther-Schroeder O N , Smerchek D T , Penner G B , Hansen S L 
Published: February 2025

Abstract
Three experiments (Exp) were conducted to characterize Zn appearance and disappearance in the rumen, rumen epithelial Zn importers and exporters, the directionality of Zn movement, and the effect of supplemental Zn on rumen epithelial structure. In Exp 1 and 2, ruminally-fistulated steers (n = 4) weighing 736 ± 23.3 kg were used in a crossover experiment with 2 dietary Zn concentrations [ZINC; 0 (CON) or 120 mg supplemental Zn/kg DM (Zn120), from ZnSO4] in a 45% forage, 55% concentrate diet (Exp 1) or a 92.5% concentrate and 7.5% forage diet (Exp 2) to assess Zn appearance and disappearance in the rumen using the washed reticulo-rumen technique (WRR). Experiment 3 used twenty individually housed Hampshire crossbred wether lambs (35.1 ± 4.57 kg) fed for 60-d to evaluate the impact of dietary grain and Zn concentrations on ruminal epithelium Zn concentration, Zn transporters, and proteins integral to epithelial integrity. This Exp was a 2 × 2 factorial, with 2 diet types (DIET; 45% forage and 55% concentrate [HF] or 7.5% forage and 92.5% concentrate [HG]), and 2 supplemental Zn treatments (ZINC; 0 mg [CON] or 120 mg [ZN] supplemental Zn/kg diet DM) from ZnSO4. In Exp 1 and 2, ZINC did not affect the rate of disappearance (k) or plateau (B) digestive model parameters for buffer Zn (P ≥ 0.34) but ruminal Zn disappearance was numerically greater in Exp 2. In Exp 3, there was a DIET × ZINC effect (P = 0.05) where HG+ZN had the greatest rumen epithelial Zn, and HF+ZN had the least. There was an interaction between DIET and ZINC on papillae length (P = 0.05), where papillae length was shorter in HF than HG, and within HG, ZN animals had shorter papillae than CON (P = 0.01). A DIET × ZINC effect was noted for ZnT1 RNAscope score (P = 0.04) where HG+CON wethers had greater mean ZnT1 RNAscope score than other treatments (P ≤ 0.04). Ruminal Claudin-7 protein expression was lesser in HF (P = 0.01) and tended to be lesser in ZN (P = 0.09). Overall, these experiments highlight the dynamic nature of ruminal Zn metabolism and are supporting evidence for the relationship between ruminal health and dietary grain and Zn concentrations.
Exploring the empirical instability strip for γ Dor-type stars in eclipsing binaries
Authors: Çakırlı Ö , Hoyman B , Özdarcan O , Bilir S 
Published: February 2025

Abstract
This research paper has light curve modelling, spectroscopy, and detailed asteroseismic studies for five detached eclipsing binaries with a γ Dor component that have been found so far by the sky surveys. The objective is to study the pulsational characteristics of the oscillating stars of the systems, as well as to estimate their absolute parameters and their relation to the pulsational frequencies, and enrich the sample size of this kind of system, which has been relatively poor up today. The physical properties of these systems are compared with other similar cases and the locations of their components are plotted in the Hertzsprung-Russell (HR) diagrams. In order to discover the pulsation frequencies, the photometric data are analysed using eclipsing binary modelling methods and their residuals are subjected to Fourier analysis. Finally, we evaluated that there is a possible relationship between the pulsation periods of the primaries and the orbital period (Porb), the force exerted per gram on the surface of the pulsating star (f/Mpuls), and the fractional radius of the pulsating star (rpuls) of the systems, using a sample of 39 eclipsing binary systems with γ Dor type primaries. We utilised them to construct a unique observational γ Dor instability strip, delineated by a lower limit of 6850 K at the red edge and an upper limit of 7360 K at the blue edge on the zero-age main sequence. The majority of 39 pure γ Dor stars are located within the region that is covered by this observational strip.
Derivation and Internal Validation of a Clinical Prediction Model for Diagnosis of Spotted Fever Group Rickettsioses in northern Tanzania
Authors: Williams Robert J , Brintz Ben J , Nicholson William L , Crump John A , Moorthy Ganga , Maro Venace P , Kinabo Grace D , Ngocho James , Saganda Wilbrod , Leung Daniel T , Rubach Matthew P 
Published: February 2025

Abstract
Spotted fever group rickettsioses (SFGR) pose a global threat as emerging zoonotic infectious diseases; however, timely and cost-effective diagnostic tools are currently limited. We used data from 449 patients presenting to two hospitals in northern Tanzania between 2007 to 2008, of which 71 (15.8%) met criteria for acute SFGR based on ≥4-fold rise in antibody titers between acute and convalescent serum samples. We fit random forest classifiers incorporating clinical and demographic data from hospitalized febrile participants as well as Earth observation hydrometeorological predictors from the Kilimanjaro Region. In cross-validation, a prediction model with ten clinical predictors achieved an area under the receiver operating characteristic curve (AUC) of 0.65 (95% CI:0.48-0.82). A combined prediction model with clinical, hydrometeorological, and environmental predictors (20 predictors total) did not significantly improve model performance. Novel strategies are needed to improve the diagnosis of acute SFGR, including the identification of diagnostic biomarkers that could enhance clinical prediction models.
Considerations for Streamlining the Pathway Toward Approval of a Cognition Enhancer for Schizophrenia
Authors: Nuechterlein Keith H , Green Michael F , Marder Stephen R 
Published: February 2025

Abstract
Given the difficulties of developing cognitive enhancers for schizophrenia and demonstrating their efficacy, we welcome a review of the measurement procedures and the clinical trial design recommendations developed through the collaboration of academics, industry, National Institute of Mental Health (NIMH), and U.S.A. Food and Drug Administration (FDA) representatives during the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) process. We provide a perspective from investigators who helped to lead the MATRICS initiative. We acknowledge some of the practical challenges in the use of the MATRICS Consensus Cognitive Battery (MCCB) while pointing out that others are overstated. We suggest that a brief MCCB might be used in phase III trials when phase II results had shown no negative impact on any MCCB cognitive domain. The complexities of requiring a functional co-primary measure are discussed. For clinical trial research design to evaluate monotherapies that might have both antipsychotic and cognition-enhancing properties, we agree that the original MATRICS design recommendations may need to be revised, as those recommendations focused on the evaluation of potential adjunctive cognitive enhancers. Horan et al provide a thoughtful summary of the current challenges in obtaining approval for a new drug designed to enhance cognition in schizophrenia.
Development of a Core Critical Care Data Dictionary With Common Data Elements to Characterize Critical Illness and Injuries Using a Modified Delphi Method
Authors: Murphy David J. , Anderson Wesley , Heavner Smith H. , Al-Hakim Tamara , Cruz-Cano Raul , Laudanski Krzysztof , Kamaleswaran Rishikesan , Badawi Omar , Engel Heidi , Grunwell Jocelyn , Herasevich Vitaly , Khanna Ashish K. , Lamb Keith , MacLaren Robert , Rincon Teresa , Sanchez-Pinto Lazaro , Sikora Andrea N. , Stevens Robert D. , Tanner Donna , Teeter William , Wong An-Kwok Ian , Wynn James L. , Zhang Xiaohan T. , Zimmerman Jerry J. , Kumar Vishakha , Cobb J. Perren , Reuter-Rice Karin E. 
Published: February 2025

Objectives:
To develop the first core Critical Care Data Dictionary (C2D2) with common data elements (CDEs) to characterize critical illness and injuries.

Design:
Group consensus process using modified Delphi approach.

Setting:
Electronic surveys and in-person meetings.

Subjects:
A multidisciplinary workgroup of clinicians and researchers with expertise in the care of the critically ill and injured.

Interventions:
The Delphi process was divided into domain and CDE portions with each composed of two item generation rounds and one item reduction/refinement rounds. Two in-person meetings augmented this process to facilitate review and consideration of the domains and by panel members. The final set of domains and CDEs was then reviewed by the group to meet the competing criteria of utility and feasibility, resulting in the core dataset.

Measurements and Main Results:
The 23-member Delphi panel was provided 1833 candidate variables for potential dataset inclusion. The final dataset includes 226 patient-level CDCs in nine domains, which include anthropometrics and demographics (8), chronic comorbid illnesses (18), advanced directives (1), ICU diagnoses (61), diagnostic tests (42), interventions (27), medications (38), objective assessments (26), and hospital course and outcomes (5). Upon final review, 91% of the panel endorsed the CDCs as meeting criteria for a minimum viable data dictionary. Data elements cross the lifespan of neonate through adult patients.

Conclusions:
The resulting C2D2 provides a foundation to facilitate rapid collection, analyses, and dissemination of information necessary for research, quality improvement, and clinical practice to optimize critical care outcomes. Further work is needed to validate the effectiveness of the dataset in a variety of critical care settings.
34βE12 is the Most Reliable Marker for Keratin-Derived Cutaneous Amyloid: A Comparative Study
Authors: Daruish Maged , Al-Sharbatee Ghada , D'Arrigo Corrado , Taibjee Saleem 
Published: February 2025

Abstract:
Congo red (CR) remains the most commonly used stain by pathologists to detect amyloid deposition. CR, however, has limitations including variable sensitivity with potential of false negative results. We investigated the staining intensity of CR in comparison to commercially available cytokeratin immunohistochemical markers in a series of primary cutaneous amyloidosis originating from keratin filaments.
A Case of Pancreatitis–Panniculitis–Polyarthritis Syndrome due to Primary Hepatic Neuroendocrine Tumor
Authors: Fan Wenjin , Wang Huan , Hou Lin , Li Shanshan 
Published: February 2025

Abstract:
A 66-year-old male patient presented to our department with subcutaneous nodules in both lower extremities accompanied by pain. Skin pathology suggested pancreatic panniculitis. Subsequent imaging and histopathology identified a rare case of pancreatitis–panniculitis–polyarthritis syndrome secondary to a primary hepatic neuroendocrine tumor. This case highlights the rare association between nonpancreatic conditions and pancreatic panniculitis.
An improved framework for grey-box identification of biological processes
Authors: Jagadeesan Prem , Raman Karthik , Tangirala Arun K 
Published: February 2025

AbstractDeveloping models from observations is at the heart of empirical science. Grey-box Modeling combines the insights gained from the results obtained from first principles with observational data. When the model turns out to be unsatisfactory, the goodness of such grey-box models in terms of predictability and parameter estimates largely depends on either modifying the model structure obtained from the first principles or conducting new experiments. Unfortunately, in the context of biological models, where the model structures are usually nonlinear ODEs with a large number of states and parameters along with sparse and noisy experimental data, traditional identification protocols have to go through several iterations to identify the source of the issue. Even after multiple iterations, they may still arrive at sub-optimal solutions. In this work, we propose an improved framework with a new set of tools to resolve this issue unambiguously with a minimum round of iterations.
Interpretable phenotype decoding from multi-condition sequencing data with ALPINE
Authors: Lee Wei-Hao , Li Lechuan , Dannenfelser Ruth , Yao Vicky 
Published: February 2025

AbstractAs sequencing techniques advance in precision, affordability, and diversity, an abundance of heterogeneous sequencing data has become available, encompassing a wide range of phenotypic features and biological perturbations. Unfortunately, increased resolution comes with a cost of increased complexity of the biological search space, even at the individual study level, as perturbations are now often examined across many dimensions simultaneously, including different: donor phenotypes, anatomical regions and cell types, and time points. Furthermore, broad integration across studies promise unique opportunity to explore the molecular underpinnings of distinct healthy and disease states, larger than the original scope of the individual study. To fully realize the promise of both individual higher resolution studies and large cross-study integrations we need a robust methodology that can disentangle the influence of technical and non-relevant phenotypic factors, isolating relevant condition-specific signals from shared biological information while also providing interpretable insights into the genetic effects of these conditions. Current methods typically excel in only one of these areas. To address this gap, we developed ALPINE, a supervised non-negative matrix factorization (NMF) framework that effectively separates both technical and non-technical factors while simultaneously offering direct interpretability of conditionassociated genes. Through simulations across 4 different scenarios, we demonstrate that ALPINE outperforms existing methods in both isolating the effect of different phenotypic conditions and prioritizing condition-associated genes. Furthermore, ALPINE has favorable performance in batch effect removal compared with state-of-the-art integration methods. When applied to real-world case studies, we showcase how ALPINE can be used to extract insights into the biological mechanisms that underlie differences between phenotypic conditions.