bluuebunny/crossref_metadata_2025_split huggingface dataset:
Potent therapeutic strategy in gastric cancer with microsatellite instability-high and/or deficient mismatch repair
Authors: Ooki Akira , Osumi Hiroki , Yoshino Koichiro , Yamaguchi Kensei 
Published: June 2024

AbstractGastric cancer (GC) is a common malignancy that presents challenges in patient care worldwide. The mismatch repair (MMR) system is a highly conserved DNA repair mechanism that protects genome integrity during replication. Deficient MMR (dMMR) results in an increased accumulation of genetic errors in microsatellite sequences, leading to the development of a microsatellite instability-high (MSI-H) phenotype. Most MSI-H/dMMR GCs arise sporadically, mainly due to MutL homolog 1 (MLH1) epigenetic silencing. Unlike microsatellite-stable (MSS)/proficient MMR (pMMR) GCs, MSI-H/dMMR GCs are relatively rare and represent a distinct subtype with genomic instability, a high somatic mutational burden, favorable immunogenicity, different responses to treatment, and prognosis. dMMR/MSI-H status is a robust predictive biomarker for treatment with immune checkpoint inhibitors (ICIs) due to high neoantigen load, prominent tumor-infiltrating lymphocytes, and programmed cell death ligand 1 (PD-L1) overexpression. However, a subset of MSI-H/dMMR GC patients does not benefit from immunotherapy, highlighting the need for further research into predictive biomarkers and resistance mechanisms. This review provides a comprehensive overview of the clinical, molecular, immunogenic, and therapeutic aspects of MSI-H/dMMR GC, with a focus on the impact of ICIs in immunotherapy and their potential as neoadjuvant therapies. Understanding the complexity and diversity of the molecular and immunological profiles of MSI-H/dMMR GC will drive the development of more effective therapeutic strategies and molecular targets for future precision medicine.
Eureka: objective assessment of the empty pelvis syndrome to measure volumetric changes in pelvic dead space following pelvic exenteration
Authors: West C. T. , Tiwari A. , Matthews L. , Drami I. , Mai D. V. C. , Jenkins J. T. , Yano H. , West M. A. , Mirnezami A. H. 
Published: June 2024

Abstract
Background
Large tissue defects following pelvic exenteration (PE) fill with fluid and small bowel, leading to the empty pelvis syndrome (EPS). EPS causes a constellation of complications including pelvic sepsis and reduced quality of life. EPS remains poorly defined and cannot be objectively measured. Pathophysiology of EPS is multifactorial, with increased pelvic dead space potentially important. This study aims to describe methodology to objectively measure volumetric changes relating to EPS.

Methods
The true pelvis is defined by the pelvic inlet and outlet. Within the true pelvis there is physiological pelvic dead space (PDS) between the peritoneal reflection and the inlet. This dead space is increased following PE and is defined as the exenteration pelvic dead space (EPD). EPD may be reduced with pelvic filling and the volume of filling is defined as the pelvic filling volume (PFV). PDS, EPD, and PFV were measured intraoperatively using a bladder syringe, and Archimedes’ water displacement principle.

Results
A patient undergoing total infralevator PE had a PDS of 50 ml. A rectus flap rendered the pelvic outlet watertight. EPD was then measured as 540 ml. Therefore there was a 10.8-fold increase in true pelvis dead space. An omentoplasty was placed into the EPD, displacing 130 ml; therefore, PFV as a percentage of EPD was 24.1%.

Conclusions
This is the first reported quantitative assessment of pathophysiological volumetric changes of pelvic dead space; these measurements may correlate to severity of EPS. PDS, EPD, and PFV should be amendable to assessment based on perioperative cross-sectional imaging, allowing for potential prediction of EPS-related outcomes.
The role of social network diversity in self-perceptions of aging in later life
Authors: Meyer-Wyk Frauke , Wurm Susanne 
Published: June 2024

AbstractWhile the link between self-perceptions of aging (SPA) and healthy aging is well established, less is known about the association between social factors and SPA. The present study investigated whether higher social network diversity is associated with more positive and less negative SPA and whether this association is moderated by age. We examined cross-sectional data from the German Ageing Survey of 2008 (DEAS; N = 6205, 40–85 years, 49.5% female). Network diversity was assessed as the number of social roles in an individual’s network (such as spouse, friend and colleague). Three domains of SPA were measured using the Aging-Related Cognitions Scale (AgeCog): ongoing development (positive SPA), social losses (negative SPA) and physical losses (negative SPA). We conducted multiple linear regression models and tested for a moderator effect of age using an interaction term of age and network diversity. Results showed that at higher ages older adults with higher network diversity reported more positive SPA related to ongoing development and more negative SPA related to social losses than those with less diverse networks, indicating that age has a moderating effect. We found no association between network diversity and negative SPA related to physical losses and no indication that age was relevant to this relationship. The present study adds to evidence on the role of social networks in SPA. Our findings suggest that in certain SPA domains and depending on age, network diversity is related to both more positive and more negative SPA, which emphasizes the importance of considering domain-specific SPA.
Silent no more: a comprehensive review of artificial intelligence, deep learning, and machine learning in facilitating deaf and mute communication
Authors: ZainEldin Hanaa , Gamel Samah A. , Talaat Fatma M. , Aljohani Mansourah , Baghdadi Nadiah A. , Malki Amer , Badawy Mahmoud , Elhosseini Mostafa A. 
Published: June 2024

AbstractPeople who often communicate via sign language are essential to our society and significantly contribute. They struggle with communication mostly because other people, who often do not understand sign language, cannot interact with them. It is necessary to develop a dependable system for automatic sign language recognition. This paper aims to provide a comprehensive review of the advancements in artificial intelligence (AI), deep learning (DL), and machine learning (ML) technologies that have been used to facilitate communication for individuals who are deaf and mute (D–M). This study explores various applications of these technologies, including sign language interpretation, speech recognition, and text-to-speech synthesis. By examining the current state of research and development in AI, ML, and DL for the D–M field, the survey sheds light on the potential and challenges faced in utilizing AI, deep learning, and ML to bridge the communication gap for the D–M community. The findings of this survey will contribute to a greater understanding of the potential impact of these technologies in improving access to communication for individuals who are D–M, thereby aiding in the development of more inclusive and accessible solutions.
A support system for the detection of abusive clauses in B2C contracts
Authors: Dadas Sławomir , Kozłowski Marek , Poświata Rafał , Perełkiewicz Michał , Białas Marcin , Grębowiec Małgorzata 
Published: June 2024

AbstractMany countries employ systemic methods of protecting consumers from unfair business practices. One such practice is the use of abusive clauses in business-to-consumer (B2C) contracts, which unfairly impose additional obligations on the consumer or deprive them of their due rights. This article presents an information system that utilizes artificial intelligence methods to automate contract analysis and to detect abusive clauses. The goal of the system is to support the entire administrative process, from contract acquisition, through text extraction and the recommendation of potentially abusive clauses, to the generation of official administrative documents that can be sent to court or to the owners of firms. This article focuses on the components that use machine learning methods. The first is an intelligent crawler that is responsible for automatically detecting contract templates on websites and retrieving them into the system. The second is a document analysis module that implements a clause recommendation algorithm. The algorithm employs transformer-based language models and information retrieval methods to identify abusive passages in text. Our solution achieved first place in a competition on the automatic analysis of B2C contracts organized by the Polish Office of Competition and Consumer Protection (UOKiK), and has since been implemented as an official tool to support the contract analysis process in Poland.
Non-native herpetofauna of Aruba island (Caribbean): patterns and insights
Authors: Busala Gianna M. , Helmus Matthew R. , Behm Jocelyn E. 
Published: June 2024

AbstractIslands harbor a significant proportion of global biodiversity and also have disproportionately high richness of introduced species relative to continents. Given the sensitivity of island ecosystems to introduced species, data deficiencies on introduction pathways, patterns of establishment, and potential impacts of introduced species can hamper mitigation and conservation efforts on islands. The Caribbean region is emerging as a hotspot for introduced amphibian and reptile (herpetofaunal) species, but patterns associated with herpetofaunal introductions on specific islands are not well explored. Here, we perform a detailed investigation of Aruba, a small Caribbean island with an exceptionally high number of introduced herpetofaunal species. We compile a database from the literature of introduction pathways, introduction years, source locations, native ranges, establishment outcomes, habitat use, and ecological impacts for three newly documented species and the 12 previously documented introduced herpetofaunal species on Aruba. From this database we synthesize emergent introduction patterns on Aruba and highlight areas of data deficiency. Overall, the patterns on Aruba echo the patterns exhibited in the greater Caribbean region. Introduction rates on Aruba have been increasing exponentially, yet the introduction pathways and source locations of most species are unknown. Following introduction, most species successfully establish localized populations in anthropogenic habitat, but the ecological impacts of most species have not been well-assessed. We suggest increased monitoring of shipments will help identify potential pathways to slow the introduction of new species, and further studies of ecological impacts of introduced species are needed.
A Qualitative Phenomenological Philosophy Analysis of Affectivity and Temporality in Experiences of COVID-19 and Remaining Symptoms after COVID-19 in Sweden
Authors: Zeiler Kristin , Jämterud Sofia Morberg , Bredström Anna , Divanoglou Anestis , Levi Richard 
Published: June 2024

Abstract
This article explores affectivity, temporality, and their interrelation in patients who contracted COVID-19 during the first wave of the pandemic in Sweden and with symptoms indicative of post-COVID-19 Condition (PCC) that remained one year after the infection. It offers a qualitative phenomenological philosophy analysis, showing how being ill with acute COVID-19 and with symptoms indicative of PCC can entail a radically altered self-world relation. We identify two examples of pre-intentional (existential) feelings: that of listlessness and that of not being able to sense what is real and not real, both of which, in different ways, imply a changed self-world relation. We offer an analysis of intentional feelings: how the fear of not “returning” to one’s previous self and the hope of such a return weave together the present and the absent, as well as the past and the future, in ways that make the future appear as constricted, disquieting, or lost. We argue that a phenomenological differentiation among experiences of living with symptoms indicative of PCC—through attention to the way intentional affectivity and pre-intentional affectivity help shape the embodied self’s attunement to the world—is apt to yield a better understanding of the variations within these experiences and contribute to clinical practice.
Gudermannian Neural Networks for Two-Point Nonlinear Singular Model Arising in the Thermal-Explosion Theory
Authors: Fatima Samara , Sabir Zulqurnain , Baleanu Dumitru , Alhazmi Sharifah E. 
Published: June 2024

AbstractThe goal of this research is to design the Gudermannian neural networks (GNNs) to solve a type of two-point nonlinear singular boundary value problems (TPN-SBVPs) that arise within thermal-explosion theory. The results of these investigation are provided for different neurons (4, 12 and 20), as well as absolute error along with the time complexity. For solving the TPN-SBVPs, a genetic algorithm (GA) and sequential quadratic programming (SQP) are used to optimize the error function. The accuracy of designed GNNs is provided by using a hybrid GA–SQP combination, which is based on a comparison of obtained and actual solutions. Furthermore, statistical analysis of the data is proposed in order to establish the competence as well as effectiveness of designed and the efficacy of the designed computing framework for solving the TPN-SBVPs.
“Education as the Art of Making Oneself at Home in the World with and Through Others”: The Call to Bildung in Meister Eckhart and the Film Of Gods and Men
Authors: Frimberger Katja 
Published: June 2024

AbstractThis paper explores the mystical structure of education as Bildung in medieval theologian and Dominican friar Meister Eckhart’s work and the 2010 French film Of Gods and Men (Des Hommes et Des Dieux). I start this paper with a short introductory sketch of the Bildung tradition, in order to situate my discussion of Eckhart within the more well-known humanist tradition. Here, I claim that Bildung (as we understand it today through the classic Bildung philosophers) points back to its theological heritage and horizon of meaning, when it is claimed as the general tekhnê (art, craft) of making oneself at home in the world with and through others. In my first step, I then explore the intellectual heritage of this mystical structure of Bildung. Drawing on a range of Meister Eckhart’s writings (esp. his German sermons), I elaborate three features pivotal to his concept of Bildung (as image-ing) of the imago Dei (image of God) in the human soul/action: (1) divine grace, (2) human cultivation and (3) the harmonisation of both in (what I shall call) ‘careful gestures'. In my concluding second step, I illustrate this mystical structure of Eckhartian Bildung—with a particular focus on the emergence of careful gestures—through the motion picture Des Hommes et Des Dieux.
Structured prior distributions for the covariance matrix in latent factor models
Authors: Heaps Sarah Elizabeth , Jermyn Ian Hyla 
Published: June 2024

AbstractFactor models are widely used for dimension reduction in the analysis of multivariate data. This is achieved through decomposition of a $$p \times p$$

p
×
p

covariance matrix into the sum of two components. Through a latent factor representation, they can be interpreted as a diagonal matrix of idiosyncratic variances and a shared variation matrix, that is, the product of a $$p \times k$$

p
×
k

factor loadings matrix and its transpose. If $$k \ll p$$

k
≪
p

, this defines a parsimonious factorisation of the covariance matrix. Historically, little attention has been paid to incorporating prior information in Bayesian analyses using factor models where, at best, the prior for the factor loadings is order invariant. In this work, a class of structured priors is developed that can encode ideas of dependence structure about the shared variation matrix. The construction allows data-informed shrinkage towards sensible parametric structures while also facilitating inference over the number of factors. Using an unconstrained reparameterisation of stationary vector autoregressions, the methodology is extended to stationary dynamic factor models. For computational inference, parameter-expanded Markov chain Monte Carlo samplers are proposed, including an efficient adaptive Gibbs sampler. Two substantive applications showcase the scope of the methodology and its inferential benefits.
Salmón, Schiffer and Frege’s Constraint
Authors: Bonardi Paolo 
Published: June 2024

AbstractIn his (Philosophical Perspectives 1:455–480, 1987) and (Noûs, 40:361–368, 2006), Schiffer devised a puzzle about Salmón’s (in: Frege’s puzzle, MIT Press, 1986a) Millian-Russellian theory of belief reports, which Salmón resolved in his (Philosophical Perspectives 3:243–285, 1989) and (Noûs, 40:369–375, 2006). My paper has three objectives. First, I will argue that the strategy employed by Salmón (in: Noûs 40:369–375, 2006) to solve Schiffer’s puzzle and his argument for such a strategy are disputable. Second, I will raise a new puzzle, inspired by ideas from Saul (in: Analysis 57:102–108, 1997) and Braun and Saul (in: Philos Stud 111:1–41, 2002), which achieves similar results to Schiffer’s puzzle but to which Salmón’s overall strategy for resolving the latter does not apply. Third, I will contend that the import of both puzzles is neither what Salmón maintains nor the alleged inadequacy of the Millian-Russellian semantics of belief reports as Schiffer suggests, but is the failure of Frege’s Constraint—a constraint to which several conceptions of modes of presentation, including Salmón’s (in: Frege’s puzzle, MIT Press, 1986a) in terms of guises and Schiffer’s (in: The things we mean, Oxford University Press, 2003) in terms of unstructured and fine-grained concepts/propositions, are committed.
Oncologic control and predictors of urologic reconstruction after Mohs micrographic surgery for low-risk penile malignancy
Authors: Cortese Brian D. , Chelluri Raju , Skokan Alexander J. , Xia Leilei , Ostrowski David A. , Roberson Daniel S. , Schwartz Lauren , Lee Daniel J. , Lukowiak Tess M. , Guzzo Thomas J. , Malkowicz S. Bruce , Miller Christopher J. , Kovell R. Caleb 
Published: June 2024

Abstract
Purpose
Mohs micrographic surgery (MMS) is a low-risk penile cancer management option. However, contemporary patients’ short-term oncologic control and preoperative characteristics predicting reconstruction needs are undefined. This study assesses MMS’s oncologic efficacy for low-risk penile cancer and identifies baseline predictors of post-resection reconstruction referral.

Methods
We retrospectively reviewed 73 adult males with 78 penile cutaneous malignancies treated with MMS from 2005 to 2019. Patients underwent MMS with or without surgical reconstruction. Demographic information, MMS operative details, lesion pathology, and short-term outcomes were recorded. Descriptive statistics for all variables were calculated, and logistic regression identified predictive factors for urologic referral for complex reconstruction.

Results
Seventy-three men with 78 lesions, all staged ≤ cT1a prior to MMS, were identified. Twenty-one men were found to have invasive SCC. Median follow-up was 2.0 years (IQR 0.8–5.2 years). MMS was able to clear the disease in 90.4% of cases. One patient had disease related death following progression. Dermatology closed primarily in 68% of patients. Twenty percent of patients had a complication, most commonly poor wound healing. On univariate and multivariate linear regression analysis, lesion size > 3 cm and involvement of the glans independently predicted the need for referral to a reconstructive surgeon.

Conclusions
MMS for penile cancer appears to provide sound oncologic control in the properly selected patient. Involvement of a reconstructive surgeon may be needed for glandular and large lesions, necessitating early referral to a comprehensive multidisciplinary care team.
Guideline for designing microbiome studies in neoplastic diseases
Authors: Mikó Edit , Sipos Adrienn , Tóth Emese , Lehoczki Andrea , Fekete Monika , Sebő Éva , Kardos Gábor , Bai Péter 
Published: June 2024

AbstractOncobiosis has emerged as a key contributor to the development, and modulator of the treatment efficacy of cancer. Hereby, we review the modalities through which the oncobiome can support the progression of tumors, and the emerging therapeutic opportunities they present. The review highlights the inherent challenges and limitations faced in sampling and accurately characterizing oncobiome. Additionally, the review underscores the critical need for the standardization of microbial analysis techniques and the consistent reporting of microbiome data. We provide a suggested metadata set that should accompany microbiome datasets from oncological settings so that studies remain comparable and decipherable.
Influence of Selenium Oxide on Structure and Properties of New Zinc Boroselenite Glasses
Authors: Elhelw Aya K. , Hassan Abdelmeguid K. , Mostafa Yosry M. , El-Damrawi Gomaa M. 
Published: June 2024

AbstractThe traditional melt quenching method was used to prepare new zinc boroselenite glasses in the system xSeO2·(50 − x)ZnO·50B2O3 with varying SeO2/ZnO molar ratio. X-ray diffraction patterns (XRD) have revealed an amorphous structure in glasses of up to 40 mol pct SeO2. On the other hand, the presence of sharp diffraction peaks on the XRD spectra of samples containing 40 and 50 mol pct SeO2 confirms a formation of some polycrystalline phases distributed in the host glass network. Based on FTIR and NMR data, the glass structure at a short-range order exhibited a similar value of the fraction of tetrahedral boron (N4), particularly, for both samples of 0 and 5 mol pct SeO2. In this situation, SeO2 is as well as ZnO both played a modifier role. On the other hand, increasing SeO2 on expense of ZnO decreases the N4 fraction gradually. However, in SeO2-rich glass, most of boron atoms are mainly placed in three coordinated sites in BO3 units coordinated with SeO4 groups. Decreasing N4 fraction and increasing crystallization confirmed that SeO2 operates as a glass former and mainly as a crystalline agent. The results based on the TEM of the selected area of electron diffraction patterns (EDP) agree well with the ones obtained by XRD. The diffraction patterns clearly displayed two sets of diffraction rings: one is caused by boroselenite nanocrystals and the other by zinc selenite. In contrast, a broader halo of dispersed structure, known as an amorphous structure, is present in the diffraction pattern obtained from SeO2-free glass.