bluuebunny/crossref_metadata_2025_split huggingface dataset:
Chemically induced phenotype plasticity in the unicellular zygnematophyte, Penium margaritaceum
Authors: LoRicco Josephine G. , Bagdan Kaylee , Sgambettera Gabriel , Malone Stuart , Tomasi Tawn , Lu Iris , Domozych David S. 
Published: July 2024

AbstractPhenotypic plasticity allows a plant cell to alter its structure and function in response to external pressure. This adaptive phenomenon has also been important in the evolution of plants including the emergence of land plants from a streptophyte alga. Penium margaritaceum is a unicellular zygnematophyte (i.e., the group of streptophyte algae that is sister to land plants) that was employed in order to study phenotypic plasticity with a focus on the role of subcellular expansion centers and the cell wall in this process. Live cell fluorescence labeling, immunofluorescence labeling, transmission electron microscopy, and scanning electron microscopy showed significant subcellular changes and alterations to the cell wall. When treated with the actin-perturbing agent, cytochalasin E, cytokinesis is arrested and cells are transformed into pseudo-filaments made of up to eight or more cellular units. When treated with the cyclin-dependent kinase (CDK) inhibitor, roscovitine, cells converted to a unique phenotype with a narrow isthmus zone.
Defect chemistry of pyrochlore Pr2O3-ZrO2 system: the relevant thermodynamic parameters
Authors: Abrantes J. C. C. , Gomes E. , Shlyakhtina A. V. 
Published: July 2024

AbstractMaterials of the system Pr2O3-ZrO2, namely the Pr2Zr2O7-based pyrochlores, have received considerable attention in the last decade, being a very interesting structure for defect chemistry because of its high solubility for various dopants, anti-site behaviour between A and B, and the multitude of possible combinations of A and B that are compatible in this type of structure. The compositions (Pr2-xZrx)Zr2O7+x/2 (x = 0.15), Pr2Zr2O7, and Pr2(Zr2-xPrx)O7-x/2 (x = 0.1), were prepared in previous works through the coprecipitation method and were characterised by impedance spectroscopy as a function of the oxygen partial pressure. In the present work, a defect chemistry model is proposed, and, based on the previously obtained experimental conductivity data, the relevant thermodynamic parameters were obtained by fitting, using a non-linear optimisation numerical method. The mobility of oxygen vacancies and interstitials oxygen were accurately determined, as well as the equilibrium constant of the formation of anti-Frenkel defects. It was observed that deviations from the stoichiometry promote an increase in ionic conductivity, respectively, 1.3x10-4, 1.4x10-3 and 1.7x10-2 S/cm, for the stoichiometric, excess of Pr and excess of Zr composition. The higher value obtained for the composition with an excess of Zr4+, suggests a higher interstitial oxygen mobility when compared with the oxygen vacancy mobility. It is also demonstrated that the novel applied methodology of fitting conductivity experimental data with an optimisation numerical method is suitable for determining the thermodynamically relevant parameters of defect chemistry models, allowing the prediction of material properties.
Global research states and trends of micro RNA in irritable bowel syndrome: a bibliometric analysis
Authors: Chen Hongxiu , Xu Zhifang , Zhao Honggang , Cao Jiazhen , Wang Rui , He Jing , Nie Ru , Jia Jialin , Yuan Shuting , Li Yonghong , Liu Zhicheng , Zhang Xinyu , Ha Lijuan , Xu Xiaoru , Li Tie 
Published: July 2024

AbstractIrritable bowel syndrome (IBS) is a common chronic gastrointestinal disorder, but its diagnosis and treatment remain obscure. Non-coding RNAs (ncRNAs), as potential biomarkers, have attracted increasing attention in digestive diseases. Here, we present a comprehensive research status, development trends, and valuable insights in this subject area. The literature search was performed using Web of Science Core Collection. VOSviewer 1.6.20, Citespace 6.2.R4, and Microsoft Excel 2021 were used for bibliometric analysis. A total of 124 articles were included in the analysis. Overall, publication patterns fluctuated. Globally, People’s Republic of China, the USA, and Germany were the top three contributors of publications. Guangzhou University of Chinese Medicine, University of California, Mayo Clinic, and University of California, Los Angeles contributed the highest number of publications. The pathways and specific mechanisms by which ncRNAs regulate transcription and translation and thus regulate the pathophysiological processes of IBS are the main research hotspots in this field. We found that microRNA (miRNAs) are intricately involved in the regulation of key pathologies such as viscera sensitivity, intestinal permeability, intestinal mucosal barrier, immunoinflammatory response, and brain-gut axis in the IBS, and these topics have garnered significant attention in research community. Notably, microecological disorders are also associated with IBS pathogenesis, and ncRNA may play an important role in the interactions between host and intestinal flora. This is the first bibliometric study to comprehensively summarize the research hotspots and trends related to IBS and ncRNAs (especially miRNAs). Our findings will help understand the role of ncRNAs in IBS and provide guidance to future studies.
Efficient Cardiovascular Parameters Estimation for Fluid-Structure Simulations Using Gappy Proper Orthogonal Decomposition
Authors: Deus J. , Martin E. 
Published: July 2024

AbstractAs full-scale detailed hemodynamic simulations of the entire vasculature are not feasible, numerical analysis should be focused on specific regions of the cardiovascular system, which requires the identification of lumped parameters to represent the patient behavior outside the simulated computational domain. We present a novel technique for estimating cardiovascular model parameters using gappy Proper Orthogonal Decomposition (g-POD). A POD basis is constructed with FSI simulations for different values of the lumped model parameters, and a linear operator is applied to retain information that can be compared to the available patient measurements. Then, the POD coefficients of the reconstructed solution are computed either by projecting patient measurements or by solving a minimization problem with constraints. The POD reconstruction is then used to estimate the model parameters. In the first test case, the parameter values of a 3-element Windkessel model are approximated using artificial patient measurements, obtaining a relative error of less than 4.2%. In the second case, 4 sets of 3-element Windkessel are approximated in a patient’s aorta geometry, resulting in an error of less than 8% for the flow and less than 5% for the pressure. The method shows accurate results even with noisy patient data. It automatically calculates the delay between measurements and simulations and has flexibility in the types of patient measurements that can handle (at specific points, spatial or time averaged). The method is easy to implement and can be used in simulations performed in general-purpose FSI software.
Somatic RIT1 delins in arteriovenous malformations hyperactivate RAS-MAPK signaling amenable to MEK inhibition
Authors: Kapp Friedrich G. , Bazgir Farhad , Mahammadzade Nagi , Mehrabipour Mehrnaz , Vassella Erik , Bernhard Sarah M. , Döring Yvonne , Holm Annegret , Karow Axel , Seebauer Caroline , Platz Batista da Silva Natascha , Wohlgemuth Walter A. , Oppenheimer Aviv , Kröning Pia , Niemeyer Charlotte M. , Schanze Denny , Zenker Martin , Eng Whitney , Ahmadian Mohammad R. , Baumgartner Iris , Rössler Jochen 
Published: July 2024

AbstractArteriovenous malformations (AVM) are benign vascular anomalies prone to pain, bleeding, and progressive growth. AVM are mainly caused by mosaic pathogenic variants of the RAS-MAPK pathway. However, a causative variant is not identified in all patients. Using ultra-deep sequencing, we identified novel somatic RIT1 delins variants in lesional tissue of three AVM patients. RIT1 encodes a RAS-like protein that can modulate RAS-MAPK signaling. We expressed RIT1 variants in HEK293T cells, which led to a strong increase in ERK1/2 phosphorylation. Endothelial-specific mosaic overexpression of RIT1 delins in zebrafish embryos induced AVM formation, highlighting their functional importance in vascular development. Both ERK1/2 hyperactivation in vitro and AVM formation in vivo could be suppressed by pharmacological MEK inhibition. Treatment with the MEK inhibitor trametinib led to a significant decrease in bleeding episodes and AVM size in one patient. Our findings implicate RIT1 in AVM formation and provide a rationale for clinical trials with targeted treatments.
Review of few-shot learning application in CSI human sensing
Authors: Wang Zhengjie , Li Jianhang , Wang Wenchao , Dong Zhaolei , Zhang Qingwei , Guo Yinjing 
Published: July 2024

AbstractWi-Fi sensing has garnered increasing interest for its significant advantages, primarily leveraging Wi-Fi signal fluctuations induced by human activities and advanced neural network algorithms. However, its application faces challenges due to limited generalizability, necessitating frequent data recollection and neural network retraining for adaptation to new environments. To address these limitations, some researchers introduced few-shot learning into Wi-Fi sensing applications because it offers a promising solution with its ability to achieve remarkable performance in novel scenarios using minimal training samples. Despite its potential, a comprehensive review of its applications within this domain remains absent. This study endeavors to fill this gap by exploring prominent Wi-Fi sensing applications that incorporate few-shot learning, aiming to delineate their key features. We categorize few-shot learning approaches into three distinct methodologies: transfer learning, metric learning, and meta-learning, based on their neural network training strategies. Through this classification, we examine representative systems from an application perspective and elucidate the principles of few-shot learning implementation. These systems are evaluated in terms of learning methodology, data modality, and recognition accuracy. Finally, this paper highlights the challenges and future directions for few-shot learning in Channel State Information (CSI) based human sensing, providing a valuable resource for researchers in the field of Wi-Fi human sensing leveraging few-shot learning.
State-of-the-art review on the use of AI-enhanced computational mechanics in geotechnical engineering
Authors: Liu Hongchen , Su Huaizhi , Sun Lizhi , Dias-da-Costa Daniel 
Published: July 2024

AbstractSignificant uncertainties can be found in the modelling of geotechnical materials. This can be attributed to the complex behaviour of soils and rocks amidst construction processes. Over the past decades, the field has increasingly embraced the application of artificial intelligence methodologies, thus recognising their suitability in forecasting non-linear relationships intrinsic to materials. This review offers a critical evaluation AI methodologies incorporated in computational mechanics for geotechnical engineering. The analysis categorises four pivotal areas: physical properties, mechanical properties, constitutive models, and other characteristics relevant to geotechnical materials. Among the various methodologies analysed, ANNs stand out as the most commonly used strategy, while other methods such as SVMs, LSTMs, and CNNs also see a significant level of application. The most widely used AI algorithms are Artificial Neural Networks (ANN), Random Forest (RF), and Support Vector Machines (SVM), representing 35%, 19%, and 17% respectively. The most extensive AI application is in the domain of mechanical properties, accounting for 59%, followed by other applications at 16%. The efficacy of AI applications is intrinsically linked to the type of datasets employed, the selected model input. This study also outlines future research directions emphasising the need to integrate physically guided and adaptive learning mechanisms to enhance the reliability and adaptability in addressing multi-scale and multi-physics coupled mechanics problems in geotechnics.
Formal design, verification and implementation of robotic controller software via RoboChart and RoboTool
Authors: Li Wei , Ribeiro Pedro , Miyazawa Alvaro , Redpath Richard , Cavalcanti Ana , Alden Kieran , Woodcock Jim , Timmis Jon 
Published: July 2024

AbstractCurrent practice in simulation and implementation of robot controllers is usually undertaken with guidance from high-level design diagrams and pseudocode. Thus, no rigorous connection between the design and the development of a robot controller is established. This paper presents a framework for designing robotic controllers with support for automatic generation of executable code and automatic property checking. A state-machine based notation, RoboChart, and a tool (RoboTool) that implements the automatic generation of code and mathematical models from the designed controllers are presented. We demonstrate the application of RoboChart and its related tool through a case study of a robot performing an exploration task. The automatically generated code is platform independent and is used in both simulation and two different physical robotic platforms. Properties are formally checked against the mathematical models generated by RoboTool, and further validated in the actual simulations and physical experiments. The tool not only provides engineers with a way of designing robotic controllers formally but also paves the way for correct implementation of robotic systems.
Sustained delivery of celecoxib from nanoparticles embedded in hydrogel injected into the biopsy cavity to prevent biopsy-induced breast cancer metastasis
Authors: Simmons Reese , Kameyama Hiroyasu , Kubota Seiko , Sun Yunguang , Langenheim John F. , Ajeeb Rana , Shao Tristan S. , Ricketts Samantha , Annan Anand C. , Stratemeier Natalie , Williams Sophie J. , Clegg John R. , Fung Kar-Ming , Chervoneva Inna , Rui Hallgeir , Tanaka Takemi 
Published: July 2024

Abstract
Purpose
We have previously reported that protracted Cyclooxygenase-2 (COX-2) activity in bone marrow-derived cells (BMDCs) infiltrating into biopsy wounds adjacent to the biopsy cavity of breast tumors in mice promotes M2-shift of macrophages and pro-metastatic changes in cancer cells, effects which were suppressed by oral administration of COX-2 inhibitors. Thus, local control of COX-2 activity in the biopsy wound may mitigate biopsy-induced pro-metastatic changes.

Methods
A combinatorial delivery system—thermosensitive biodegradable poly(lactic acid) hydrogel (PLA-gel) incorporating celecoxib-encapsulated poly(lactic-co-glycolic acid) nanoparticles (Cx-NP/PLA-gel)—was injected into the biopsy cavity of Py230 murine breast tumors to achieve local control of COX-2 activity in the wound stroma.

Results
A single intra-biopsy cavity injection of PLA-gel loaded with rhodamine-encapsulated nanoparticles (NPs) showed sustained local delivery of rhodamine preferentially to infiltrating BMDCs with minimal to no rhodamine uptake by the reticuloendothelial organs in mice. Moreover, significant reductions in M2-like macrophage density, cancer cell epithelial-to-mesenchymal transition, and blood vessel density were observed in response to a single intra-biopsy cavity injection of Cx-NP/PLA-gel compared to PLA-gel loaded with NPs containing no payload. Accordingly, intra-biopsy cavity injection of Cx-NP/PLA-gel led to significantly fewer metastatic cells in the lungs than control-treated mice.

Conclusion
This study provides evidence for the feasibility of sustained, local delivery of payload preferential to BMDCs in the wound stroma adjacent to the biopsy cavity using a combinatorial delivery system to reduce localized inflammation and effectively mitigate breast cancer cell dissemination.
A randomized phase III double-blind placebo-controlled trial of first-line chemotherapy and trastuzumab with or without bevacizumab for patients with HER2/neu-positive metastatic breast cancer: a trial of the ECOG-ACRIN Cancer Research Group (E1105)
Authors: Mezzanotte-Sharpe Jessica , ONeill Anne , Mayer Ingrid A. , Arteaga Carlos L. , Yang Ximing J. , Wagner Lynne I. , Cella David , Meropol Neal J. , Alpaugh R. Katherine , Saphner Thomas J. , Swaney Robert E. , Hoelzer Karen L. , Gradishar William J. , Abramson Vandana G. , Sundaram P. Kothai , Jilani Shamim Z. , Perez Edith A. , Lin Nancy U. , Jahanzeb Mohammad , Wolff Antonio C. , Sledge George W. , Reid Sonya A. 
Published: July 2024

Abstract
Background
In 2008, bevacizumab received accelerated Food and Drug Administration (FDA) approval for use in human epidermal growth factor receptor 2 (HER2)-negative metastatic breast cancer (MBC). Based on the pre-clinical and preliminary clinical activity of the trastuzumab and bevacizumab combination, ECOG-ACRIN E1105 trial was developed to determine if the addition of bevacizumab to a chemotherapy and trastuzumab combination for first-line therapy would improve progression-free survival (PFS) in patients with HER2-positive MBC.

Findings
96 patients were randomized to receive standard first-line chemotherapy and trastuzumab with or without bevacizumab between November 2007 and October 2009, and 93 began protocol therapy. Induction therapy was given for 24 weeks, followed by maintenance trastuzumab with or without bevacizumab. 60% (56/93) began carboplatin and 74% (69/93) completed 6 cycles of induction therapy. Primary endpoint was PFS. Median PFS was 11.1 and 13.8 months for placebo and bevacizumab arms, respectively (hazard ratio [HR] 95%, Confidence Interval [Cl] for bevacizumab vs. placebo: 0.73 [0.43–1.23], p = 0.24), and at a median follow-up of 70.7 months, median survival was 49.1 and 63 months (HR [95% Cl] for OS: 1.09 [0.61–1.97], p = 0.75). The most common toxicities across both arms were neutropenia and hypertension, with left ventricular systolic dysfunction, fatigue, and sensory neuropathy reported more frequently with bevacizumab.

Conclusions
In this trial, the addition of bevacizumab did not improve outcomes in patients with metastatic HER2-positive breast cancer. Although the trial was underpowered due to smaller than anticipated sample size, these findings corroborated other clinical trials during this time.
Clinical Trial Information: NCT00520975
Evolution of Information Infrastructures in Healthcare as Convergence of Digital Trajectories
Authors: Malm-Nicolaisen Kristian , Ellingsen Gunnar , Hertzum Morten , Silsand Line , Severinsen Gro-Hilde 
Published: July 2024

Abstract
In information infrastructures at hospitals, various stakeholders are responsible for specific information and communications technology (ICT) portfolios. Each portfolio represents a unique digital trajectory with a past, present, and future. This study investigated how stakeholders (in this study, software developers, ICT operations organizations, and users) collaborate to facilitate the convergence of different digital trajectories, thus contributing to the successful evolution of information infrastructures. Empirically, we focused on the preparatory work involved in implementing an app that would enable nurses to register and calculate National Early Warning Scores at Nordland Hospital in northern Norway. Specifically, we examined the collaboration between three stakeholders to align their respective ICT portfolios and prepare for the new solution. These stakeholders were the Finnish software developer Medanets, the Norwegian Electronic Health Record developer DIPS ASA, and the Northern Norway Regional Health Authority, which governed the regional health ICT infrastructure. These stakeholders governed three distinct portfolios that had been developed over many years and, in this sense, represented digital trajectories with a past, a present, and a possible future. This study is positioned within the computer-supported cooperative work field, and the analysis draws upon the theoretical concepts of information infrastructure and trajectories.
Extracting Stock Predictive Information in Mutual Fund Managers’ Portfolio Decisions Through Machine Learning with Hypergraph
Authors: Chen You-Sin , Kao Chu-Lan Michael , Liu Po-Hsien , Tseng Vincent S. 
Published: July 2024

AbstractThis paper proposes a machine learning framework that incorporates mutual fund managers’ portfolio decisions to predict stock price movements. It employs a weighted hypergraph to connect the information of the funds’ portfolio weight changes to the corresponding stocks in the portfolio. This information is further aggregated with price data extracted through classical machine learning methods. The framework then predicts stock price movements as a classification problem. We tested this framework using Taiwanese stock and mutual fund data, discovering that the managers’ decisions provide predictive information about stocks in addition to the classical technical data. Moreover, we determined that the level of information provided by the managers’ decisions is asymmetric under different market conditions. This finding supports existing literature on mutual fund behavior under varying market conditions. Further discussions on incorporating other expert trading behaviors in Taiwan and model comparisons are provided.
Additivity of symmetric and subspace 2-designs
Authors: Buratti Marco , Nakić Anamari 
Published: July 2024

AbstractA 2-$$(v,k,\lambda )$$

(
v
,
k
,
λ
)

design is additive (or strongly additive) if it is possible to embed it in a suitable abelian group G in such a way that its block set is contained in (or coincides with) the set of all zero-sum k-subsets of its point set. Explicit results on the additivity or strong additivity of symmetric designs and subspace 2-designs are presented. In particular, the strong additivity of PG$$_d(n,q)$$

d

(
n
,
q
)

, which was known to be additive only for $$q=2$$

q
=
2

or $$d=n-1$$

d
=
n
-
1

, is always established.
Vectorial negabent concepts: similarities, differences, and generalizations
Authors: Anbar Nurdagül , Kudin Sadmir , Meidl Wilfried , Pasalic Enes , Polujan Alexandr 
Published: July 2024

AbstractIn Pasalic et al. (IEEE Trans Inf Theory 69:2702–2712, 2023), and in Anbar and Meidl (Cryptogr Commun 10:235–249, 2018), two different vectorial negabent and vectorial bent-negabent concepts are introduced, which leads to seemingly contradictory results. One of the main motivations for this article is to clarify the differences and similarities between these two concepts. Moreover, the negabent concept is extended to generalized Boolean functions from $${\mathbb {F}}_2^n$$

F
2
n

to the cyclic group $${\mathbb {Z}}_{2^k}$$

Z

2
k

. It is shown how to obtain nega-$${\mathbb {Z}}_{2^k}$$

Z

2
k

-bent functions from $${\mathbb {Z}}_{2^k}$$

Z

2
k

-bent functions, or equivalently, corresponding non-splitting relative difference sets from the splitting relative difference sets. This generalizes the shifting results for Boolean bent and negabent functions. We finally point to constructions of $${\mathbb {Z}}_8$$

Z
8

-bent functions employing permutations with the $$({\mathcal {A}}_m)$$

(

A
m

)

property, and more generally we show that the inverse permutation gives rise to $${\mathbb {Z}}_{2^k}$$

Z

2
k

-bent functions.