bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non-Caucasian Race/Ethnicity Predisposes to Unfavorable Stage and Grade at Upper Tract Urothelial Carcinoma Diagnosis
Authors: Di Bello Francesco , de Angelis Mario , Siech Carolin , Peñaranda Natali Rodriguez , Tian Zhe , Goyal Jordan A. , Ruvolo Claudia Collà , Califano Gianluigi , Creta Massimiliano , Saad Fred , Shariat Shahrokh F. , Briganti Alberto , Chun Felix K. H. , Micali Salvatore , Longo Nicola , Karakiewicz Pierre I. 
Published: January 2025

Abstract
Objective
To test whether race/ethnicity affects stage or grade distribution at upper tract urothelial carcinoma (UTUC) diagnosis.

Methods
Within the Surveillance, Epidemiology, and End Results (SEER) database 2004–2020, UTUC patients were identified. Multivariable logistic regression models tested for the association between race/ethnicity and stage as well as grade at diagnosis according to renal pelvis vs. ureteral origin. Stage at presentation was defined as (i) metastatic stage (TanyNanyM1) and (ii) advanced stage (locoregional or metastatic (T3-4N0-2M0-1)).

Results
Of 14,384 UTUC patients, 8926 (62%) were renal pelvis. Of renal pelvis UTUC patients, 7064 (79%) were Caucasian, 797 (9%) Hispanic, 623 (7%) Asian Pacific Islander (API), and 442 (5%) African American (AA). Relative to Caucasians, API (odd ratio (OR) 1.85, 95% confidence interval (CI) 1.44–2.37, p < 0.001) and AA (OR 1.37, 95% CI 1.02–1.83, p = 0.03) patients more frequently harbored metastatic stage. APIs also more frequently harbored advanced (OR 1.33, 95% CI 1.11–1.60, p = 0.002) stage and high (OR 1.33, 95% CI 1.07–1.67, p = 0.01) grade. Of 5458 (38%) ureteral UTUC patients, 4360 (80%) were Caucasian, 362 (7%) Hispanic, 509 (9%) API, and 227 (4%) AA. Relative to Caucasians, Hispanic (OR 1.45, 95% CI 1.01–2.05, p = 0.03) patients more frequently harbored metastatic stage. APIs also more frequently harbored advanced stage (OR 1.22, 95% CI 1.02–1.47, p = 0.03) and high (OR 1.94, 95% CI 1.49–2.55, p < 0.001) grade.

Conclusions
Race/ethnicity other than Caucasian, such as API and Hispanic, may predispose to higher odds of metastatic (TanyNanyM1) or advanced (T3-4N0-2M0-1) stages as well as to higher grade at initial diagnosis.
Analysis of the spatio-temporal impact of the built environment on shared bicycle ridership density
Authors: Li Na , Wang Tianqun 
Published: January 2025

AbstractThe spatiotemporal nonstationarity of shared bicycle usage, a sustainable and eco-friendly mode of transportation, is believed to be influenced by the built environment. However, the specific spatial and temporal impacts of built environment factors on shared bicycle trips are not yet fully understood. This study investigates the relationship between the built environment and shared bicycle ridership in Shenzhen, a city where the distribution of shared bicycles is relatively dense, by utilizing multisource urban big data. Key independent variables were selected based on the “5Ds” dimensions of the built environment, and the performance of two models—Geographically Weighted Regression (GWR) and Geographically and Temporally Weighted Regression (GTWR)—were compared. The analysis evaluates the impact of the built environment on the density of shared bicycle ridership, incorporating both spatial and temporal dimensions. The results of the study found that the GTWR model used in this paper can effectively explain the spatio-temporal heterogeneity of built environment-related variables on shared bicycle trips with high goodness of fit. And the regression fit coefficients of the model show that the effects of different built environment indicators on the density of shared bicycle ridership are significantly different in both time and space. Among them, road network density, catering POI density, traffic POI density and POI diversity have a facilitating effect on shared bicycle travels, particularly during peak hours on weekdays and in central urban areas. Shopping POI density shows different effects on shared bike use in different times and spaces. While the distance from the city center and the nearest distance to the bus station have a suppressive effect on shared bicycle use, they show opposite degrees of influence in the spatial distribution. The results can provide more precise guidance for future rational transportation strategies or sustainable urban planning.
Rethinking participation in urban planning: analytical and practical contributions of social network analysis
Authors: Alhassan Alhassan Yakubu 
Published: January 2025

AbstractCitizen participation is essential in urban development, but existing participation methods often neglect the complex informal relationships among stakeholders, limiting broader engagement. This study uses a narrative review to explore how relational approaches and social network analysis (SNA) affect participation in urban planning. It proposes an analytical framework combining relational approaches and SNA to understand the role of social interactions in decision-making. Unlike traditional methods that focus on individual or group attributes, SNA emphasizes social connections and interactions. The study shows how urban development decision-makers can use SNA to foster inclusive practices, improve coordination, and build trust between planners and residents. SNA enables better information flow, addresses power imbalances, and enhances community representation, especially for marginalised groups. This approach leads to more resilient and equitable urban environments. The findings suggest that urban planners can use SNA to design more inclusive decision-making processes, aligning with the sustainable development goals.
Towards NeuroAI: introducing neuronal diversity into artificial neural networks
Authors: Fan Feng-Lei , Li Yingxin , Zeng Tieyong , Wang Fei , Peng Hanchuan 
Published: January 2025

AbstractThroughout history, the development of artificial intelligence, especially artificial neural networks, has been continuously influenced by a deeper understanding of the brain. This influence includes the development of the neocognitron, considered a precursor to convolutional neural networks. The emerging field of NeuroAI posits that leveraging neuroscience knowledge could significantly advance AI by imbuing networks with enhanced capabilities. Unlike the human brain, which features a variety of morphologically and functionally distinct neurons, artificial neural networks typically rely on a homogeneous neuron model. In the human brain, the diversity of neurons facilitates a wide range of intelligent behaviors. Given that artificial networks aim to mimic the human brain, incorporating a diversity of neuron models could address key challenges in artificial intelligence, such as efficiency, interpretability, and memory capacity. This perspective begins by examining the basics of biological neuronal diversity and how biological neurons transmit and process information. We then explore research efforts to design novel neuron models for artificial networks and discuss the potential benefits of neuronal diversity, including applications in several critical areas. Finally, we address the challenges and future directions for integrating neuronal diversity into artificial networks, highlighting its potential to enrich NeuroAI.
Salvation in the Block Universe
Authors: Qureshi-Hurst Emily , McGrath Alister 
Published: January 2025

Does time really pass? Should theology mould itself to fit with the findings of physics and philosophy? How should the interdisciplinary dialogue between science and religion proceed? In Salvation in the Block Universe, Emily Qureshi-Hurst tackles these important questions head-on. She offers a focused treatment of a particular problem – the problem of salvation in the block universe – and a broader exploration of a theological methodology that makes 'science and religion' not only possible but desirable via Paul Tillich's method of correlation. By bringing time and salvation into dialogue, Dr Emily Qureshi-Hurst's original insights move the 'science and religion' conversation forward into new and productive territory. Qureshi-Hurst also provides tools for other theologians and philosophers to do the same. Essential reading for anyone interested in the interactions between philosophy, religion, and science, she asks: without the reality of change, is personal salvation during one's lifetime even possible?
Shaping the future of industrial-organizational psychology: The transformative potential of research collaborations
Authors: Voss Nathaniel M. , Stoffregen Stacy A. , Couture Kelsey L. , DiGirolamo Joel A. , Furman Melissa , Haidar Sarah , Hammer Leslie B. , Lee Jin , Maneotis Sarina M. , McCloy Rodney A. , Olson Ryan , Spector Paul E. 
Published: January 2025

Abstract
It is important for the research produced by industrial-organizational (I-O) psychologists to be rigorous, relevant, and useful to organizations. However, I-O psychology research is often not used in practice. In this paper, we (both practitioners and academics) argue that engaged scholarship—a particular method of inclusive, collaborative research that incorporates multiple stakeholder perspectives throughout the research process—can help reduce this academic–practice gap and advance the impact of I-O psychology. To examine the current state of the field, we reviewed empirical evidence of the current prevalence of collaborative research by examining the number of articles that contain nonacademic authors across 14 key I-O psychology journals from 2018 to 2023. We then build on these findings by describing how engaged scholarship can be integrated throughout the research process and conclude with a call to action for I-O psychologists to conduct more collaborative research. Overall, our goal is to facilitate a fruitful conversation about the value of collaborative research that incorporates multiple stakeholder perspectives throughout the research process in hopes of reducing the academic–practice gap. We also aim to inspire action in the field to maintain and enhance the impact of I-O psychology on the future world of work.
Food insecurity confrontation by pastoralist and agrarian communities in South Omo Zone, Ethiopia: a facility-based qualitative study
Authors: Gujo Mintesinot Melka , Modiba Lebitsi Maud 
Published: January 2025

Abstract
Food insecurity remains a global issue, particularly in developing countries like Ethiopia. Thus, this study focused on identifying factors contributing to food insecurity and the strategies used to cope with it among agrarian and pastoralist communities of South Ari and Benatsemay Woreda, respectively. A facility-based qualitative study was carried out in Southern Ethiopia. Participants were selected using a purposefully targeting health extension workers, health centre directors, woreda programme experts, district health managers, and pregnant women staying in maternity waiting homes. The selection process included one health facility from each district, focusing on those with the highest number of pregnant women in maternity waiting homes. A total of 17 participants were involved in in-depth interviews, and 2 focus group discussions were conducted with 27 pregnant women, continuing until data saturation was achieved. Field notes were taken, and sessions were voice recorded. Participants in both in-depth interviews and focus group discussions frequently identified several causes of food insecurity in the community, such as food shortages, climate change, rising prices of agricultural products, inadequate agricultural technology, scarcity of farmland, and income constraints. Tailored intervention is highly demanding to implement policies to stabilise food supply chains and mitigate food shortages in both agrarian and pastoralist areas, invest in modern agricultural technologies to boost productivity, encourage the adoption of climate-smart agricultural practices to help farmers adapt to changing weather patterns, optimise the productive use of available farmland, promote income-generating activities, and diversify livelihoods to alleviate income constraints and improve food security.
Options pricing with Markov regime switching Heston volatility Hull–White interest rates and stochastic intensity
Authors: Mittal Priya , Selvamuthu Dharmaraja 
Published: January 2025

Abstract
This paper proposes an options pricing model that incorporates stochastic volatility, stochastic interest rates, and stochastic jump intensity. Market shocks are modeled using a jump process, with each jump governed by an asymmetric double-exponential distribution. The model also integrates a Markov regime-switching framework for volatility and the risk-free rate, allowing the market to alternate between a finite number of distinct economic states. A closed-form solution for European option pricing is derived. To demonstrate the significance of the proposed model, a comparison with various other models is performed, and the sensitivity of the various model parameters is illustrated.
“The dear little flower babe has arrived!”: Blade stones, cradles, and child warriors in Ancient Mesoamerica
Authors: Declercq Stan 
Published: January 2025

Abstract
In the present discussion, I will focus on the creation of baby warriors in Mesoamerica in a twofold manner: as human beings and as blade stones. The emphasis will be on central Mexico, complemented with essential data from other parts of Postclassic Mesoamerica. By juxtaposing information from historical sources in a novel way, this investigation seeks to offer new insights that should reinforce the idea that warriors captured on the battlefield were considered to be children. Although this idea has been suggested before, this article aims to contribute new historical evidence that not only confirms this notion but also widens our understanding of the creation of nonbiological offspring. Making kin out of Others aims to satisfy a cosmological need to incorporate vital energy and elements for individual and collective personhood from outside of the community. The second idea of this investigation focuses on a related productive variant of this gestational dynamic, suggesting that by stone flaking and chipping, children (of stone) were fabricated. Some of them were indeed “child blade stones” who personified warriors and fed themselves with sacrificial victims, securing sustenance for the hungry gods. I argue that the birth of these warriors should be integrated into a major mythological theme—namely, the Child Hero and the Old Adoptive Mother.
Adhesive and injectable hydrogel microspheres for NRF2-mediated periodontal bone regeneration
Authors: Wang Yu , Jin Shanshan , Guo Yaru , Lu Yilong , Deng Xuliang 
Published: January 2025

AbstractRegenerating periodontal bone defect surrounding periodontal tissue is crucial for orthodontic or dental implant treatment. The declined osteogenic ability of periodontal ligament stem cells (PDLSCs) induced by inflammation stimulus contributes to reduced capacity to regenerate periodontal bone, which brings about a huge challenge for treating periodontitis. Here, inspired by the adhesive property of mussels, we have created adhesive and mineralized hydrogel microspheres loaded with traditional compound cordycepin (MMS-CY). MMS-CY could adhere to the surface of alveolar bone, then promote the migration capacity of PDLSCs and thus recruit them to inflammatory periodontal tissues. Furthermore, MMS-CY rescued the impaired osteogenesis and ligament-forming capacity of PDLSCs, which were suppressed by the inflammation stimulus. Moreover, MMS-CY also displayed the excellent inhibitory effect on the osteoclastic activity. Mechanistically, MMS-CY inhibited the premature senescence induced by the inflammation stimulus through the nuclear factor erythroid 2-related factor (NRF2) pathway and reducing the DNA injury. Utilizing in vivo rat periodontitis model, MMS-CY was demonstrated to enhance the periodontal bone regeneration by improving osteogenesis and inhibiting the osteoclastic activity. Altogether, our study indicated that the multi-pronged approach is promising to promote the periodontal bone regeneration in periodontitis condition by reducing the inflammation-induced stem cell senescence and maintaining bone homeostasis.
Nanoscale thickness Octave-spanning coherent supercontinuum light generation
Authors: Das Susobhan , Uddin Md Gius , Li Diao , Wang Yadong , Dai Yunyun , Toivonen Juha , Hong Hao , Liu Kaihui , Sun Zhipei 
Published: January 2025

AbstractCoherent broadband light generation has attracted massive attention due to its numerous applications ranging from metrology, sensing, and imaging to communication. In general, spectral broadening is realized via third-order and higher-order nonlinear optical processes (e.g., self-phase modulation, Raman transition, four-wave mixing, multiwave mixing), which are typically weak and thus require a long interaction length and the phase matching condition to enhance the efficient nonlinear light-matter interaction for broad-spectrum generation. Here, for the first time, we report octave-spanning coherent light generation at the nanometer scale enabled by a phase-matching-free frequency down-conversion process. Up to octave-spanning coherent light generation with a −40dB spectral width covering from ~565 to 1906 nm is demonstrated in discreate manner via difference-frequency generation, a second-order nonlinear process in gallium selenide and niobium oxide diiodide crystals at the 100-nanometer scale. Compared with conventional coherent broadband light sources based on bulk materials, our demonstration is ~5 orders of magnitude thinner and requires ~3 orders of magnitude lower excitation power. Our results open a new way to possibly create compact, versatile and integrated ultra-broadband light sources.
Mitochondrial diseases: from molecular mechanisms to therapeutic advances
Authors: Wen Haipeng , Deng Hui , Li Bingyan , Chen Junyu , Zhu Junye , Zhang Xian , Yoshida Shigeo , Zhou Yedi 
Published: January 2025

AbstractMitochondria are essential for cellular function and viability, serving as central hubs of metabolism and signaling. They possess various metabolic and quality control mechanisms crucial for maintaining normal cellular activities. Mitochondrial genetic disorders can arise from a wide range of mutations in either mitochondrial or nuclear DNA, which encode mitochondrial proteins or other contents. These genetic defects can lead to a breakdown of mitochondrial function and metabolism, such as the collapse of oxidative phosphorylation, one of the mitochondria’s most critical functions. Mitochondrial diseases, a common group of genetic disorders, are characterized by significant phenotypic and genetic heterogeneity. Clinical symptoms can manifest in various systems and organs throughout the body, with differing degrees and forms of severity. The complexity of the relationship between mitochondria and mitochondrial diseases results in an inadequate understanding of the genotype-phenotype correlation of these diseases, historically making diagnosis and treatment challenging and often leading to unsatisfactory clinical outcomes. However, recent advancements in research and technology have significantly improved our understanding and management of these conditions. Clinical translations of mitochondria-related therapies are actively progressing. This review focuses on the physiological mechanisms of mitochondria, the pathogenesis of mitochondrial diseases, and potential diagnostic and therapeutic applications. Additionally, this review discusses future perspectives on mitochondrial genetic diseases.
Coverage bias in small molecule machine learning
Authors: Kretschmer Fleming , Seipp Jan , Ludwig Marcus , Klau Gunnar W. , Böcker Sebastian 
Published: January 2025

AbstractSmall molecule machine learning aims to predict chemical, biochemical, or biological properties from molecular structures, with applications such as toxicity prediction, ligand binding, and pharmacokinetics. A recent trend is developing end-to-end models that avoid explicit domain knowledge. These models assume no coverage bias in training and evaluation data, meaning the data are representative of the true distribution. However, the domain of applicability is rarely considered in such models. Here, we investigate how well large-scale datasets cover the space of known biomolecular structures. For doing so, we propose a distance measure based on solving the Maximum Common Edge Subgraph (MCES) problem, which aligns well with chemical similarity. Although this method is computationally hard, we introduce an efficient approach combining Integer Linear Programming and heuristic bounds. Our findings reveal that many widely-used datasets lack uniform coverage of biomolecular structures, limiting the predictive power of models trained on them. We propose two additional methods to assess whether training datasets diverge from known molecular distributions, potentially guiding future dataset creation to improve model performance.
Klebsiella oxytoca facilitates microbiome recovery via antibiotic degradation and restores colonization resistance in a diet-dependent manner
Authors: Almási Éva d. H. , Eisenhard Lea , Osbelt Lisa , Lesker Till Robin , Vetter Anna C. , Knischewski Nele , Bielecka Agata Anna , Gronow Achim , Muthukumarasamy Uthayakumar , Wende Marie , Tawk Caroline , Neumann-Schaal Meina , Brönstrup Mark , Strowig Till 
Published: January 2025

AbstractCompetition among bacteria for carbohydrates is pivotal for colonization resistance (CR). However, the impact of Western-style diets on CR remains unclear. Here we show how the competition between Klebsiella oxytoca and Klebsiella pneumoniae is modulated by consuming one of three Western-style diets characterized by high-starch, high-sucrose, or high-fat/high-sucrose content. In vivo competition experiments in ampicillin-treated mice reveal that K. oxytoca promotes K. pneumoniae decolonization on all dietary backgrounds. However, mice on the high-fat/high-sucrose diet show reduced pathogen clearance. Microbiome analysis reveals that the combination of Western-style diets and ampicillin treatment synergize in microbiome impairment, particularly noticeable in the presence of high dietary fat content. The diet-independent degradation of ampicillin in the gut lumen by K. oxytoca beta-lactamases facilitates rapid commensal outgrowth, which is required for subsequent pathogen clearance. Our findings provide insights into how diet modulates functional microbiome recovery and K. oxytoca-mediated pathogen elimination from the gut.
Hypoxia-induced conversion of sensory Schwann cells into repair cells is regulated by HDAC8
Authors: Hertzog Nadège , Duman Mert , Bochud Maëlle , Brügger-Verdon Valérie , Gerhards Maren , Schön Felicia , Dorndecker Franka , Meijer Dies , Fledrich Robert , Stassart Ruth , Sankar Devanarayanan Siva , Dengjel Jörn , López Sofía Raigón , Jacob Claire 
Published: January 2025

AbstractAfter a peripheral nerve injury, Schwann cells (SCs), the myelinating glia of the peripheral nervous system, convert into repair cells that foster axonal regrowth, and then remyelinate or re-ensheath regenerated axons, thereby ensuring functional recovery. The efficiency of this mechanism depends however on the time needed for axons to regrow. Here, we show that ablation of histone deacetylase 8 (HDAC8) in SCs accelerates the regrowth of sensory axons and sensory function recovery. We found that HDAC8 is specifically expressed in sensory SCs and regulates the E3 ubiquitin ligase TRAF7, which destabilizes hypoxia-inducible factor 1-alpha (HIF1α) and counteracts the phosphorylation and upregulation of c-Jun, a major inducer of the repair SC phenotype. Our study indicates that this phenotype switch is regulated by different mechanisms in sensory and motor SCs and is accelerated by HDAC8 downregulation, which promotes sensory axon regeneration and sensory function recovery.