bluuebunny/crossref_metadata_2025_split huggingface dataset:
Brønsted Acid Saponin Combined Catalyst (BASapC) for the Synthesis of Diverse 1,1‐Dihomoarylmethane Scaffolds in Aqueous Solution
Authors: Nirmale Shubhangi , Patil Karuna , Kumbhar Arjun , Rajmane Archana 
Published: November 2024

AbstractThe present study describes the synthesis of various bioactive compounds, including bis‐coumarins, bis‐lawsones, bis‐dimedones, and bis‐indolylmethanes, using a novel catalytic system called “Brønsted acid saponin combined catalyst” (BASapC). The BASapC was formed by combining p‐toluenesulfonic acid (PTSA) and saponin in an aqueous medium. The prepared BASapC proved to be effective in facilitating cascade‐type Knoevenagel–Michael addition reactions between various aromatic aldehydes with 4‐hydroxycoumarin, lawsone, dimedone, or indole at 80 °C. In the BASapC system, PTSA acted as a powerful Brønsted acid, activating reactants, whereas saponin served as a natural surfactant, enhancing the solubility of organic compounds in water. This catalytic approach established a straightforwardness and robustness of diversity‐oriented synthesis (DoS), delivering the desired products with good to excellent yields. Additionally, the BASapC exhibited recyclability for at least four cycles without significant loss of activity.
MXene Hydrogels for Soft Multifunctional Sensing: A Synthesis‐Centric Review
Authors: Amara Umay , Xu Lingtian , Hussain Iftikhar , Yang Kai , Hu Haibo , Ho Derek 
Published: November 2024

AbstractIntelligent wearable sensors based on MXenes hydrogels are rapidly advancing the frontier of personalized healthcare management. MXenes, a new class of transition metal carbon/nitride synthesized only a decade ago, have proved to be a promising candidate for soft sensors, advanced human–machine interfaces, and biomimicking systems due to their controllable and high electrical conductivity, as well as their unique mechanical properties as derived from their atomistically thin layered structure. In addition, MXenes’ biocompatibility, hydrophilicity, and antifouling properties render them particularly suitable to synergize with hydrogels into a composite for mechanoelectrical functions. Nonetheless, while the use of MXene as a multifunctional surface or an electrical current collector such as an energy device electrode is prevalent, its incorporation into a gel system for the purpose of sensing is vastly less understood and formalized. This review provides a systematic exposition to the synthesis, property, and application of MXene hydrogels for intelligent wearable sensors. Specific challenges and opportunities on the synthesis of MXene hydrogels and their adoption in practical applications are explicitly analyzed and discussed to facilitate cross gemination across disciplines to advance the potential of MXene multifunctional sensing hydrogels.
Record‐Breaking H2S Capture and ppm‐Level Sensing with a Chemically Stable Porous Organic Cage
Authors: Obeso Juan L. , Hu Dingyue , López‐Cervantes Valeria B. , Amador‐Sánchez Yoarhy A. , Flores Catalina V. , Flores J. Gabriel , Ling Sanliang , Lima Enrique , Gutiérrez‐Alejandre Aída , Vera Marco A. , Peralta Ricardo A. , de los Reyes José Antonio , Solis‐Ibarra Diego , Ibarra Ilich A. , Liu Ming 
Published: November 2024

AbstractThe first experimental investigation of a porous organic cage (POC) for the challenging task of H2S capture is reported. The N‐containing cage molecular material, a tertiary amine POC (6FT‐RCC3), demonstrates the highest H2S (hydrogen sulfide) capture (record capacity) for a porous material at room temperature and atmospheric pressure (20.6 mmol H2S g−1; 25 H2S molecules per cage) combined with excellent reversibility for at least five adsorption–desorption cycles. In situ FTIR spectroscopy, solid‐state 13C, and 15N CP MAS NMR spectroscopy experiments are applied to investigate the adsorption mechanism, identifying relatively weak interactions via hydrogen bonding. In addition, the fluorescence performances of this POC material are evaluated for the detection and sensing of H2S, where a clear H2S selectivity is observed over other gases. Remarkably, the limit of detection (LOD) is calculated to be 0.13 mm (≈4.43 ppm) in a tetrahydrofuran (THF) solution of H2S.
MCM4 Promotes the Progression of Malignant Melanoma by Activating the PI3K/AKT Pathway
Authors: Zhang Xuewei , Dong Mingming , Zheng Guoxing , Sun Meng , Zhang Chuzhao , Zhou Zibin , Tang Shijie 
Published: November 2024

ABSTRACTThis study aims to elucidate the role of minichromosome maintenance protein 4 (MCM4) in malignant melanoma (MM) and explore the underlying mechanism. Initially, data from The Cancer Genome Atlas (TCGA) database and the Molecular Signature Database (MSigDB) were used to investigate the biological impact of MCM4 on MM. Further, a prognostic model using Cox regression analysis was developed to predict the overall survival (OS) rate in the MM patients. The effects of MCM4 on the proliferation, migration, and invasion abilities of MM (B16F0 and A375) cells were demonstrated using the CCK‐8, colony formation, EDU, wound scratch, and Transwell assays. In subcutaneous tumor models in C57BL/6 mice in vivo, the expression levels of MCM4 in MM cells and tumors were detected using Western blot and immunofluorescence approaches. The bioinformatics analysis indicated that MCM4 was expressed higher in MM tissues than in the normal tissues (p < 0.05). The established OS prediction model could significantly contribute to devising follow‐up strategies and treating MM patients. MCM4 knockdown resulted in reduced proliferation, migration, and invasion abilities of MM cells, which were reversed by MCM4 overexpression (p < 0.05). Moreover, MCM4 could activate the phosphatidylinositol 3′‐kinase (PI3K)/AKT pathway in MM cells. The PI3K inhibitor (LY294002) could reverse the effects of MCM4 on MM cells. MCM4 could substantially prompt the tumor growth of MM in mice through the PI3K/AKT pathway in vivo. In summary, MCM4 prompted the development and metastasis of MM by activating the PI3K/AKT pathway.
Business Analytics in Customer Lifetime Value: An Overview Analysis
Authors: Dogan Onur , Hiziroglu Abdulkadir , Pisirgen Ali , Seymen Omer Faruk 
Published: November 2024

ABSTRACTIn customer‐oriented systems, customer lifetime value (CLV) has been of significant importance for academia and marketing practitioners, especially within the scope of analytical modeling. CLV is a critical approach to managing and organizing a company's profitability. With the vast availability of consumer data, business analytics (BA) tools and approaches, alongside CLV models, have been applied to gain deeper insights into customer behaviors and decision‐making processes. Despite the recognized importance of CLV, there is a noticeable gap in comprehensive analyses and reviews of BA techniques applied to CLV. This study aims to fill this gap by conducting a thorough survey of the state‐of‐the‐art investigations on CLV models integrated with BA approaches, thereby contributing to a research agenda in this field. The review methodology consists of three main steps: identification of relevant studies, creating a coding plan, and ensuring coding reliability. First, relevant studies were identified using predefined keywords. Next, a coding plan—one of the study's significant contributions—was developed to evaluate these studies comprehensively. Finally, the coding plan's reliability was tested by three experts before being applied to the selected studies. Additionally, specific evaluation criteria in the coding plan were implemented to introduce new insights. This study presents exciting and valuable results from various perspectives, providing a crucial reference for academic researchers and marketing practitioners interested in the intersection of BA and CLV.
Combating infections under siege: Healthcare challenges amidst the military assault in Gaza
Authors: Irfan Bilal , Lulu Izzeddin , Hamawy Adam , Shammala Abdallah Abu , Kullab Susan , Fawaz Mohamed , Sammour Abd Al‐Karim , Khawaja Haseeb , Alshaer Nour , Abu‐Sittah Ghassan , Alser Osaid , Perlmutter Mark , Al‐Shembari Anas , Hickey Jeremy , Nayfeh Tariq , Tahir Mohammed , Sultan Muhammad Junaid , Nasser Elias , Wajahath Muaaz , Yaqoob Aneela , Hasan Ahmad , Elaydi Ali , Ghali Abdullah , Nasser Mosab , Saleh Khaled J. 
Published: November 2024

AbstractThe ongoing Israeli military assault on Gaza has caused a devastating collapse of healthcare infrastructure, resulting in an unprecedented surge in infectious diseases. The destruction of sanitation systems, restrictions on medical supplies, and displacement of civilians have created an environment conducive to the rapid spread of waterborne, vector‐borne, and antibiotic‐resistant infections. This paper draws from the insights of local Palestinian healthcare workers and recent medical missions conducted by FAJR Scientific, the Palestine American Medical Association, and Doctors Without Borders, examining infection control efforts under extreme constraints. The missions encountered major challenges, such as the absence of sterile equipment, inadequate access to clean water, and disrupted healthcare services. These conditions have exacerbated the spread of diseases such as hepatitis, meningitis, and polio, with severe impacts on Gaza's pediatric population. Efforts to implement infection control measures, such as telemedicine consultations, wound care protocols, and antibiotic stewardship, were heavily impeded by the ongoing blockade. The paper underscores the critical importance of lifting the siege to allow humanitarian access and to address the root causes of the infectious disease crisis in Gaza. It also highlights the resilience of Palestinian healthcare workers who continue to provide care under these dire circumstances. The recommendations outlined aim to support future medical teams working in conflict zones by providing practical strategies for infection prevention and control amidst such sustained violence. These efforts are contingent on international intervention and an end to the systematic blockade that has weaponized healthcare access.
Topological recursion for hyperbolic string field theory
Authors: Fırat Atakan Hilmi , Valdes-Meller Nico 
Published: November 2024

Abstract
We derive an analog of Mirzakhani’s recursion relation for hyperbolic string vertices and investigate its implications for closed string field theory. Central to our construction are systolic volumes: the Weil-Petersson volumes of regions in moduli spaces of Riemann surfaces whose elements have systoles L ≥ 0. These volumes can be shown to satisfy a recursion relation through a modification of Mirzakhani’s recursion as long as L ≤ 2 sinh−1 1. Applying the pants decomposition of Riemann surfaces to off-shell string amplitudes, we promote this recursion to hyperbolic string field theory and demonstrate the higher order vertices are determined by the cubic vertex iteratively for any background. Such structure implies the solutions of closed string field theory obey a quadratic integral equation. We illustrate the utility of our approach in an example of a stubbed scalar theory.
One-dimensional Carrollian fluids. Part I. Carroll-Galilei duality
Authors: Athanasiou Nikolaos , Petropoulos P. Marios , Schulz Simon M. , Taujanskas Grigalius 
Published: November 2024

Abstract
Galilean and Carrollian algebras acting on two-dimensional Newton-Cartan and Carrollian manifolds are isomorphic. A consequence of this property is a duality correspondence between one-dimensional Galilean and Carrollian fluids. We describe the dynamics of these systems as they emerge from the relevant limits of Lorentzian hydrodynamics, and explore the advertised duality relationship. This interchanges longitudinal and transverse directions with respect to the flow velocity, and permutes equilibrium and out-of-equilibrium observables, unveiling specific features of Carrollian physics. We investigate the action of local hydrodynamic-frame transformations in the Galilean and Carrollian configurations, i.e. dual Galilean and Carrollian local boosts, and comment on their potential breaking. Emphasis is laid on the additional geometric elements that are necessary to attain complete systems of hydrodynamic equations in Newton-Cartan and Carroll spacetimes. Our analysis is conducted in general Cartan frames as well as in more explicit coordinates, specifically suited to Galilean or Carrollian use.
Probing Krylov complexity in scalar field theory with general temperatures
Authors: He Peng-Zhang , Zhang Hai-Qing 
Published: November 2024

Abstract
Krylov complexity characterizes the operator growth in the quantum many-body systems or quantum field theories. The existing literatures have studied the Krylov complexity in the low temperature limit in the quantum field theories. In this paper, we extend and systematically study the Krylov complexity and Krylov entropy in a scalar field theory with general temperatures. To this end, we propose a new method to calculate the Wightman power spectrum which allows us to compute the Lanczos coefficients and subsequently to study the Krylov complexity (entropy) in general temperatures. We find that the Lanczos coefficients and Krylov complexity (entropy) in the high temperature limit will behave somewhat differently from those studies in the low temperature limit. We give an explanation of why the Krylov complexity does not oscillate in the high-temperature region. Moreover, we uncover the transition temperature that separates the oscillating and monotonic increasing behavior of Krylov complexity.
Integrable auxiliary field deformations of coset models
Authors: Cesàro Mattia , Kleinschmidt Axel , Osten David 
Published: November 2024

Abstract
We prove the existence of a family of integrable deformations of ℤN-coset models in two dimensions. Our approach uses and generalises the method of auxiliary fields that was recently introduced for the principal chiral model by Ferko and Smith.
Can air traffic booms induce innovation and bridge regional innovation gaps?
Authors: Inggrid  , Resosudarmo Budy P. 
Published: November 2024

AbstractThe key role of innovation in long-term economic growth is well-established, but it is unevenly distributed across regions. This paper examines how increased air passenger traffic fosters innovation and whether it reduces innovation disparities. Focusing on regional innovation in Indonesia, measured by patent activity, we utilize the exogenous airline deregulation in the early 2000s, which significantly boosted domestic air passenger traffic. Using a newly geocoded patent dataset for Indonesian municipalities from 1995 to 2016, we find that domestic air passenger traffic positively affects regional patenting. This result is robust across various samples and sensitivity tests. However, increased air passenger traffic alone may not suffice to reduce innovation disparities within the country.
Automated acute skin toxicity scoring in a mouse model through deep learning
Authors: Sahlertz Morten , Kristensen Line , Sørensen Brita Singers , Poulsen Per Rugaard , Asonganyi Folefac Charlemagne , Sinha Priyanshu , Nijkamp Jasper 
Published: November 2024

AbstractThis study presents a novel approach to skin toxicity assessment in preclinical radiotherapy trials through an advanced imaging setup and deep learning. Skin reactions, commonly associated with undesirable side effects in radiotherapy, were meticulously evaluated in 160 mice across four studies. A comprehensive dataset containing 7542 images was derived from proton/electron trials with matched manual scoring of the acute toxicity on the right hind leg, which was the target area irradiated in the trials. This dataset was the foundation for the subsequent model training. The two-step deep learning framework incorporated an object detection model for hind leg detection and a classification model for toxicity classification. An observer study involving five experts and the deep learning model, was conducted to analyze the retrospective capabilities and inter-observer variations. The results revealed that the hind leg object detection model exhibited a robust performance, achieving an accuracy of almost 99%. Subsequently, the classification model demonstrated an overall accuracy of about 85%, revealing nuanced challenges in specific toxicity grades. The observer study highlighted high inter-observer agreement and showcased the model’s superiority in accuracy and misclassification distance. In conclusion, this study signifies an advancement in objective and reproducible skin toxicity assessment. The imaging and deep learning system not only allows for retrospective toxicity scoring, but also presents a potential for minimizing inter-observer variation and evaluation times, addressing critical gaps in manual scoring methodologies. Future recommendations include refining the system through an expanded training dataset, paving the way for its deployment in preclinical research and radiotherapy trials.
Interpreting the actionable clinical role of rare variants associated with short QT syndrome
Authors: Martínez-Barrios Estefanía , Greco Andrea , Cruzalegui José , Cesar Sergi , Díez-Escuté Nuria , Cerralbo Patricia , Chipa Fredy , Zschaeck Irene , Slanovic Leonel , Mangas Alipio , Toro Rocío , Brugada Josep , Sarquella-Brugada Georgia , Campuzano Oscar 
Published: November 2024

AbstractGenetic testing is recommended in the diagnosis of short QT syndrome. This rare inherited lethal entity is characterized by structural normal hearts with short QT intervals in the electrocardiogram. Few families diagnosed with this arrhythmogenic disease have been reported worldwide so far, impeding a comprehensive understanding of this syndrome. Unraveling the origin of the disease helps to the early identification of genetic carriers at risk. However, only rare variants with a definite deleterious role should be actionable in clinical practice. Our aim was to perform a comprehensive update and reinterpretation, according to the American College of Medical Genetics and Genomics recommendations of all rare variants currently associated with short QT syndrome. We identified 34 rare variants. Reanalysis showed that only nine variants played a deleterious role associated with a definite short QT syndrome phenotype. These variants were located in the four main genes: KCNQ1, KCNH2, KCNJ2 or SLC4A3. Additional rare variants located in other genes were associated with other conditions with phenotypic shortened QT intervals, but not definite diagnosis of short QT syndrome. Periodically updating of rare variants, especially those previously classified as unknown, helps to clarify the role of rare variants and translate genetic data into clinical practice.
Xanthogranulomatous pyelonephritis in a child with autoimmune joint disease
Authors: Kriek Pieter Willem , Karsas Maria , Cloete Jeané 
Published: November 2024

AbstractXanthogranulomatous pyelonephritis is a rare condition in paediatric patients, mostly described in middle-aged female patients. We present a 7-year-old female with juvenile idiopathic arthritis, who was found to have a kidney mass with a concurrent Escherichia coli urinary tract infection. Surgical excision was done out of concern for possible malignancy. Histology confirmed the diagnosis of xanthogranulomatous pyelonephritis and persistent E. coli infection.
Contact metamorphism and dolomitization overprint on Cambrian carbonates from the Ossa-Morena Zone (SW Iberian Massif): implications to Sr-chronology of carbonate rocks
Authors: Roseiro José , Moreira Noel , Andrade Laura , Nogueira Pedro , de Oliveira Daniel , Eguiluz Luis , Mirão José , Moita Patrícia , Santos José Francisco , Ribeiro Sara , Pedro Jorge 
Published: November 2024

Abstract
The Cambrian Series 2 Carbonate Formation from the Alter do Chão Elvas-Cumbres Mayores unit (Ossa-Morena Zone, SW Iberian Massif) is composed of regionally metamorphosed marbles and marlstones that underwent chlorite zone metamorphism and preserve the primaeval limestone 87Sr/86Sr ratios (0.7083–0.7088). These are consistent with the established Lower Cambrian seawater curve, and therefore used for age constraints in formations lacking fossil contents. The regional mineralogical and Sr-isotopic features of the carbonate rocks are frequently overprinted by the effects of contact metamorphism induced by magmatic bodies emplaced during rift-related and synorogenic events of the Palaeozoic, as well as by post-metamorphic dolomitization processes. The development of calc-silicate minerals due to contact metamorphism is common in the rocks of the Carbonate Formation and apparently results from the interaction of the protolith with fluids of different origin: (i) internally produced fluids released by conductive heating (observed in external contact aureoles) and (ii) external intrusion-expelled fluids that, besides leading to the appearance of distinctive assemblages, also promote an influx of strontium content (observed in roof pendants). Calc-silicate mineralogy varies substantially throughout the region, likely due to the heterogeneous distribution of silicate minerals of the protolith, progression of intrusion-driven fluids, and the irregular effect of thermal gradients. Results suggest that high-grade contact metamorphism (hornblende facies or higher) and dolomitization processes imposed on the Carbonate Formation significantly influence the isotopic signatures of the carbonates, providing limitations in applying Sr-isotopic chronology.

Graphical abstract
Global point cloud registration network for large transformations
Authors: Cuevas-Velasquez Hanz , Galan-Cuenca Alejandro , Gallego Antonio Javier , Saval-Calvo Marcelo , Fisher Robert B. 
Published: November 2024

Abstract
Three-dimensional registration is an established yet challenging problem that is key in many different applications, such as mapping the environment for autonomous vehicles, or modeling people for avatar creation, among others. Registration refers to the process of mapping multiple data into the same coordinate system by means of matching correspondences and transformation estimation. Novel proposals exploit the benefits of deep learning architectures for this purpose, as they learn the best features for the data, providing better matches and hence results. However, the state of the art is usually focused on cases of relatively small transformations, although in certain applications and in a real and practical environment, large transformations are very common. In this paper, we present ReLaTo (Registration for Large Transformations), an architecture that addresses the cases where large transformations happen while maintaining good performance for local transformations. This proposal uses a novel Softmax pooling layer to find correspondences in a bilateral consensus manner between two point sets, sampling the most confident matches. These matches estimate a coarse and global registration using weighted Singular Value Decomposition (SVD). A target-guided denoising step is applied to both the obtained matches and latent features to estimate the final fine registration considering the local geometry. All these steps are carried out following an end-to-end approach, which has been shown to perform better than 7 state-of-the-art registration methods in two datasets commonly used for this task (ModelNet40 and the Karlsruhe Institute of Technology and Toyota Technological Institute dataset, KITTI), especially in the case of large transformations.

Graphic abstract