bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transcriptomic characterization of the response to a microalgae extract in Arabidopsis thaliana and Solanum lycopersicum
Authors: Arvanitidou Christina , Ramos‐González Marcos , Romero‐Losada Ana B. , García‐Gómez M. Elena , García‐González Mercedes , Romero‐Campero Francisco J. 
Published: March 2024

AbstractBACKGROUNDThe steady world population growth and the current climate emergency crisis demand the development of sustainable methods to increase crop performance and resilience to the abiotic and biotic stresses produced by global warming. Microalgal extracts are being established as sustainable sources to produce compounds that improve agricultural yield, concurrently contributing during their production process to atmospheric CO2 abatement through the photosynthetic activity of microalgae.RESULTSIn the present study, we characterize the transcriptomic response in the model plant Arabidopsis thaliana and the plant of horticultural interest Solanum lycopersicum to the foliar application of a microalgae‐based commercial preparation LRM™ (AlgaEnergy, Madrid, Spain). The foliar spray of LRM™ has a substantial effect over both transcriptomes potentially mediated by various compounds within LRM™, including its phytohormone content, activating systemic acquired resistance, possibly mediated by salicylic acid biosynthetic processes, and drought/heat acclimatization, induced by stomatal control and wax accumulation during cuticle development. Specifically, the agronomic improvements observed in treated S. lycopersicum (tomato) plants include an increase in the number of fruits, an acceleration in flowering time and the provision of higher drought resistance. The effect of LRM™ foliar spray in juvenile and adult plants was similar, producing a fast response detectable 2 h from its application that was also maintained 24 h later.CONCLUSIONThe present study improves our knowledge on the transcriptomic effect of a novel microalgal extract on crops and provides the first step towards a full understanding of the yield and resistance improvement of crops. © 2024 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Totally geodesic Lagrangian submanifolds of the pseudo‐nearly Kähler SL(2,R)×SL(2,R)$\mathrm{SL}(2,\mathbb {R})\times \mathrm{SL}(2,\mathbb {R})$
Authors: Anarella Mateo , Van der Veken J. 
Published: March 2024

AbstractIn this paper, we study Lagrangian submanifolds of the pseudo‐nearly Kähler . First, we show that they split into four different classes depending on their behavior with respect to a certain almost product structure on the ambient space. Then, we give a complete classification of totally geodesic Lagrangian submanifolds of this space.
Bioinspired strategy for the fabrication of fast‐curing, tough, and high‐strength phenolic resins
Authors: Li Jiongjiong , Zhu Ying , Zhang Fudong , Lyu Yan , Li Xiaona , Li Kuang , Tian Dan , Cai Liping , Li Jianzhang 
Published: March 2024

AbstractPhenolic resins (PRs) find extensive use in adhesives and constructions, but they suffer from low curing rate and high brittleness. Herein, we drew inspiration from the lobster sclerotization process and proposed a simple approach to fabricate PRs by integrating pyrogallol‐functionalized graphene nanoplatelets (PG@GnPs), amine‐terminated hyperbranched phosphonitrilic chloride trimer (HPNC), and phenol formaldehyde (PF) resin. The resulting PRs exhibited significant improvements in comprehensive performance. The onset curing temperature decreased from 115.6 to 101.7°C, while the adhesion work increased by 126.5% and the toughness increased by 494%. Additionally, the wet bonding strength increased by 68.7% and the flexural strength increased by 208%. The accelerated curing rate was attributable to the oxidative crosslinking between catechol moieties in pyrogallol and amino groups in HPNC under alkaline conditions, as well as the high reactivity between pyrogallol or amino groups and PF chains. The outstanding mechanical properties were resulted from the synergistic enhancement effects of PG@GnPs and HPNC, which effectively transferred and absorbed energy upon loading. Overall, this work presented an attractive design strategy for developing high‐performance and multifunctional polymer composites.Highlights
A bioinspired strategy was proposed for preparing advanced phenolic resins.
PG@GnPs were produced via a green and low‐cost ball milling method.
Adhesion work and toughness increased by 126.5% and 494%, respectively.
Bonding and flexural strength have improved by 68.7% and 208%, respectively.
Significantly accelerated curing rate was achieved.
Progress in the diagnosis and treatment of graft fibrosis after liver transplantation
Authors: Zhao Youwei , Wang Lijun , Xie Man , Rao Wei 
Published: March 2024

AbstractLiver transplantation (LT) is considered one of the best treatments for patients with end‐stage liver diseases. However, some patients with no significant clinical manifestations or abnormal laboratory tests still experience graft fibrosis during postoperative follow‐up, which is often recognized by graft histopathology. Graft fibrosis can lead to graft dysfunction, thereby reducing the survival time of the recipient and even requiring re‐transplantation. Currently, noninvasive methods are widely applied in the assessment of hepatic and allograft fibrosis. Although both noninvasive diagnostic models based on laboratory examination indicators and elastography technology that can quantify liver stiffness have some value in the evaluation of fibrosis, the diagnostic accuracy and characteristics of these various methods vary and cannot replace liver biopsy completely. In recent years, some liver‐protective drugs and proprietary Chinese traditional medicines have been proven to delay or reverse chronic liver fibrosis. Nevertheless, their efficacy and safety for LT recipients need to be further verified. This article reviews the diagnosis and treatment of graft fibrosis after LT to provide a reference for improving the overall survival rate of LT recipients.
Anti-Inflammatory Control of Human Skin Keratinocytes by Targeting Nuclear Transport Checkpoint
Authors: Liu Yan , Qiao Huan , Zienkiewicz Jozef , Hawiger Jacek 
Published: March 2024

Abstract

Background
In the two common inflammatory skin diseases, Atopic Dermatitis (AD) and Psoriasis (Ps), keratinocytes (KCs) respond to immune insults through activation of proinflammatory transcription factors (TFs) and their translocation to the cell’s nucleus. Therein, the TFs induce expression of genes encoding mediators of skin inflammation. The Nuclear Transport Checkpoint Inhibitors (NTCIs) were developed to regulate nuclear translocation of activated TFs, the essential step of inflammatory response. This new class of cell-penetrating peptide therapeutics controls inflammation caused by allergic, autoimmune, metabolic, and microbial insults. In preclinical model of AD, the treatment with NTCI, cSN50.1 peptide, suppressed the expression of Thymic Stromal Lymphopoietin (TSLP), the key gene in the development of allergic inflammation, among the 15 genes silenced by the NTCI. Here, we report the mechanism of anti-inflammatory action of NTCI in human skin-derived KCs.

Objectives
We aimed to determine whether the NTCI treatment can protect human KCs from harmful inflammatory insults.

Methods
Human primary KCs were pretreated with NTCI and challenged with the mix of cytokines Tumour Necrosis Factor alpha (TNF-α) and Interleukin (IL)-17A, or with Phorbol 12-Myristate 13-Acetate (PMA), and analysed for nuclear content of TFs and the expression of genes encoding mediators of inflammation.

Results
The nuclear import of TFs, Nuclear Factor ĸB (NF-ĸB) and Signal Transduction and Activator of Transcription 3 (STAT3), was inhibited in cells treated with NTCI. The expression of TSLP, along with genes encoding the core mediators of inflammation (TNF, IL1B, and IL6) was suppressed by NTCI. Noteworthy, NTCI silenced genes encoding Granulocyte-Macrophage Colony-Stimulating Factor (CSF2), and chemokine IL-8 (CXCL8), responsible for skin infiltration by the eosinophils and other myelomonocytic cells.

Conclusion
The control of inflammatory response in human KCs by NTCI is attributed to the inhibition of nuclear import of proinflammatory TFs. The protection of human KCs by NTCI, adds new perspectives to the completed Phase two clinical trial of the NTCI (AMTX-100 CF) for AD (NCT04313400).
Cryptography algorithms for improving the security of cloud‐based internet of things
Authors: Qasem Mohammed Ali , Thabit Fursan , Can Ozgu , Naji Ebrahim , Alkhzaimi Hoda A. , Patil Pritam Rajendra , Thorat S. B. 
Published: March 2024

AbstractIn today's fast‐paced society, the Internet of Things (IoT) is revolutionizing businesses by bridging the gap between the digital and physical realms. This transformative technology enables rapid changes in the way people conduct business. Its fundamental aim is to connect everything in our world—objects, individuals, locations, and processes—under a unified infrastructure, providing valuable information and control over the state of our environment. The IoT represents a novel approach to developing diverse and distributed systems, which have now evolved into a pervasive computing cloud infrastructure. However, due to limitations in computing power and storage resources dedicated to handling the vast amounts of IoT data, a cloud‐based architecture is often employed in the IoT realm. Unfortunately, this shift has introduced a range of complex security and trust concerns within the cloud‐based IoT environment. As the demand for widespread deployment of cloud‐based IoT continues to soar, significant security‐related threats have emerged, prompting numerous researchers to develop cryptographic algorithms aimed at enhancing the security of both the Cloud and IoT. This paper provides an overview of cloud‐based IoT technology and seeks to fulfill the primary objective of conducting a survey on encryption algorithms in the context of the cloud and IoT. The research delves into the strategies, challenges, and variations associated with encryption in cloud and IoT systems. Additionally, this work includes a comparative analysis of the computational complexity of these techniques.
Using iterative 2δ‐technique and 4δ‐outlier test for evaluating the geochemical background concentrations of trace elements in topsoil at Cao Bang province, Vietnam
Authors: Tran Anh Tuan , Nguyen Ha Manh , Dang Quan Tran , Duong Lim Thi , Pham Dang Thanh , Nguyen Bac Quang 
Published: March 2024

AbstractThis study investigated the geochemical background values for seven trace elements in topsoil samples collected from highland areas within Cao Bang province, Vietnam. Total concentrations of these elements were determined, revealing the following order of mean concentration: Zn > Cr > Pb > Cu > As > Ni > Co. The background values were calculated using two different methods including iterative 2δ‐technique and 4δ‐outlier test. The 4δ‐outlier test yielded the following background concentrations (dry weight) for the seven elements: As (24.41 ± 12.42 mg kg−1), Co (15.64 ± 10.57 mg kg−1), Cr (49.31 ± 33.41 mg kg−1), Cu (29.77 ± 27.14 mg kg−1), Ni (22.52 ± 13.33 mg kg−1), Pb (38.06 ± 31.48 mg kg−1), Zn (71.79 61.09 mg kg−1). The 2δ‐technique, on the other hand, resulted in the following background concentrations (dry weight) for the same elements: As (8.41 ± 8.57 mg kg−1), Co (5.06 ± 4.31 mg kg−1), Cr (26.72 ± 26.20 mg kg−1), Cu (25.31 ± 24.81 mg kg−1), Ni (8.02 ± 7.83 mg kg−1), Pb (28.12 ± 27.58 mg kg−1), Zn (51.91 ± 49.44 mg kg−1). These results provide valuable baseline data for future environmental assessments and monitoring programs in the region. They also highlight the potential impact of human activities, such as mining, on the geochemical landscape of highland areas.
Surgical outcomes and healthcare expenditures among patients with dementia undergoing major surgery
Authors: Khalil Mujtaba , Woldesenbet Selamawit , Munir Muhammad Musaab , Katayama Erryk , Mehdi Khan Muhammad Muntazir , Altaf Abdullah , Rashid Zayed , Endo Yutaka , Dillhoff Mary , Tsai Susan , Pawlik Timothy M. 
Published: March 2024

AbstractBackgroundWe sought to define surgical outcomes among elderly patients with Alzheimer's disease and related dementias (ADRD) following major thoracic and gastrointestinal surgery.MethodsA retrospective cohort study was used to identify patients who underwent coronary artery bypass grafting (CABG), abdominal aortic aneurysm (AAA) repair, pneumonectomy, pancreatectomy, and colectomy. Individuals were identified from the Medicare Standard Analytic Files and multivariable regression was utilized to assess the association of ADRD with textbook outcome (TO), expenditures, and discharge disposition.ResultsAmong 1,175,010 Medicare beneficiaries, 19,406 (1.7%) patients had a preoperative diagnosis of ADRD (CABG: n = 1,643, 8.5%; AAA repair: n = 5,926, 30.5%; pneumonectomy: n = 590, 3.0%; pancreatectomy: n = 181, 0.9%; and colectomy: n = 11,066, 57.0%). After propensity score matching, patients with ADRD were less likely to achieve a TO (ADRD: 31.2% vs. no ADRD: 40.1%) or be discharged to home (ADRD: 26.7% vs. no ADRD: 46.2%) versus patients who did not have ADRD (both p < 0.001). Median index surgery expenditures were higher among patients with ADRD (ADRD: $28,815 [IQR $14,333–$39,273] vs. no ADRD: $27,101 [IQR $13,433–$38,578]; p < 0.001) (p < 0.001). On multivariable analysis, patients with ADRD had higher odds of postoperative complications (OR 1.32, 95% CI 1.25–1.40), extended length‐of‐stay (OR 1.26, 95% CI 1.21–1.32), 90‐day readmission (OR 1.37, 95% CI 1.31–1.43), and 90‐day mortality (OR 1.76, 95% CI 1.66–1.86) (all p < 0.001).ConclusionPreoperative diagnosis of ADRD was an independent risk factor for poor postoperative outcomes, discharge to non‐home settings, as well as higher healthcare expenditures. These data should serve to inform discussions and decision‐making about surgery among the growing number of older patients with cognitive deficits.
Artificial Intelligence (AI) and Machine Learning (ML) for Healthcare and Health Sciences: The Need for Best Practices Enabling Trust in AI and ML
Authors: Aliferis Constantin , Simon Gyorgy 
Published: March 2024

AbstractIn the opening chapter we first introduce essential concepts about Artificial Intelligence and Machine Learning (AI/ML) in Health Care and the Health Sciences (aka Biomedical AI/ML). We then provide a brief historical perspective of the field including highlights of achievements of Biomedical AI/ML, the various generations of AI/ML efforts, and the recent explosive interest in such methods and future growth expectations. We summarize how biomedical AI and ML differ from general-purpose AI/ML. We show that pitfalls and related lack of best practices undermine practice and potential of Biomedical AI/ML. We introduce high-level requirements for biomedical AI/ML and 7 dimensions of trust, acceptance and ultimately adoption, which serve as the driving principles of the present volume. We outline the contents of the volume, both overall and chapter-by-chapter, noting the interconnections. We discuss the intended audience, and differences from other AI/ML books. We finally discuss format, style/tone, and state a few important caveats and disclosures.
Considerations for Specialized Health AI & ML Modelling and Applications: NLP
Authors: Schutte Dalton , Zhang Rui 
Published: March 2024

AbstractMuch information about patients is documented in the unstructured textual format in the electronic health record system. Research findings are also reported in the biomedical literature. In this chapter, we will discuss the background, resources and methods used in biomedical natural language processing (NLP), which will help unlock information from the textual data.
Data Design in Biomedical AI/ML
Authors: Simon Gyorgy , Aliferis Constantin 
Published: March 2024

AbstractData Design refers to the systematic choice of what data are modeled for analysis and how these data and the model output(s) are mapped between the Problem Space (real-world) and the Model Space (features for the ML modeling). ML data design is an essential element of ML modeling. ML data design differs from classical statistical, epidemiological etc. study designs in that (a) ML data design relies heavily on the existence of digital data repositories that are created independently of the problem solving intent at hand, (b) ML modeling is highly scalable and mostly automated, (c) when using experimental data, ML data design may be used to guide the experiments conducted, (d) uses a richer set of data representations that transcend the classical design matrices such as text, relational databases, graphs etc.; and (e) ML modeling has its own distinct capabilities, limitations and other properties and these are reflected in the data design choices. The present chapter covers tried and tested strategies and protocols that contribute to successful data designs and addresses a number of important biases that threaten validity and generalizability of results. Lower level data transformations, data storage, and security aspects are covered in the “Data Preparation, Transforms, Quality, and Management” chapter.
Evaluation
Authors: Simon Gyorgy , Aliferis Constantin 
Published: March 2024

AbstractThe purpose of model evaluation is to assess the model’s suitability for the intended purpose. In the evaluation of clinical models, we consider three levels of evaluation. At the core, we are concerned with predictive performance, namely whether the model we constructed has sufficiently high predictive ability. On the next level, we are concerned with generalizability. We wish to ensure the model is robust to changes over time and we may wish to know whether the model can generalize to different demographics at different geographic locations or to a different service with different disease severity. Finally, on the third level, we evaluate the model from the perspective of achieving the clinical objective and doing so at a cost that is acceptable to the health system.
Chasing Maximal Pro-p Galois Groups via 1-Cyclotomicity
Authors: Quadrelli Claudio 
Published: March 2024

AbstractLet p be a prime. We prove that certain amalgamated free pro-p products of Demushkin groups with pro-p-cyclic amalgam cannot give rise to a 1-cyclotomic oriented pro-p group, and thus do not occur as maximal pro-p Galois groups of fields containing a root of 1 of order p. We show that other cohomological obstructions which are used to detect pro-p groups that are not maximal pro-p Galois groups—the quadraticity of $$\mathbb {Z}/p\mathbb {Z}$$

Z
/
p
Z

-cohomology and the vanishing of Massey products—fail with the above pro-p groups. Finally, we prove that the Minač–Tân pro-p group cannot give rise to a 1-cyclotomic oriented pro-p group, and we conjecture that every 1-cyclotomic oriented pro-p group satisfy the strong n-Massey vanishing property for $$n=3,4$$

n
=
3
,
4

.
H2020-ROBOMINERS Prototype Field Test
Authors: Berner Michael , Sifferlinger Nikolaus August 
Published: March 2024

AbstractROBOMINERS was a project funded under the European Union’s Research and Innovation programme Horizon 2020 (grant agreement n°820971) and started in June 2019 with the primary objective of facilitating the extraction of mineral resources, including strategically important metals crucial for the ongoing energy transition, from domestic sources within the European Union. To achieve this goal, the ROBOMINERS consortium—including 14 partners from 11 European countries, has developed a bio-inspired robot specifically designed for mining deposits that are challenging to access or relatively small in scale. The prototype was tested and demonstrated in July, August and October 2023.
Surface-subsurface filtration transport with seawater intrusion: multidomain mixed variational evolution problems
Authors: Alduncin Gonzalo 
Published: March 2024

AbstractSurface-subsurface filtration transport with seawater intrusion phenomena are formulated and variationally analyzed, as coupled multimedia mixed pairs of free boundary interface problems. Physically, multidomain subsurface mixed velocity-pressure fractional Darcian flow models coupled with surface evolution Stokesian mixed flows are considered. Specifically, two-phase air-fresh water above the sea level and fresh water-seawater characterizations are considered. Internal boundary synchronizing transmission conditions of multidomain nonoverlapping decompositions are modeled in terms of variational Lagrangian dual subpotential maximal monotone inclusions. Similarly, filtration transport coupling interface transmission constraints are implemented by mass flux-velocity-pressure Lagrange dual multipliers as solutions of subpotential subdifferential equations.
STK3 kinase activation inhibits tumor proliferation through FOXO1-TP53INP1/P21 pathway in esophageal squamous cell carcinoma
Authors: Zhao Ziying , Chu Yuan , Feng Anqi , Zhang Shihan , Wu Hao , Li Zhaoxing , Sun Mingchuang , Zhang Li , Chen Tao , Xu Meidong 
Published: March 2024

Abstract
Purpose
Esophageal squamous cell carcinoma (ESCC) is an aggressive disease with a poor prognosis, caused by the inactivation of critical cell growth regulators that lead to uncontrolled proliferation and increased malignancy. Although Serine/Threonine Kinase 3 (STK3), also known as Mammalian STE20-like protein kinase 2 (MST2), is a highly conserved kinase of the Hippo pathway, plays a critical role in immunomodulation, organ development, cellular differentiation, and cancer suppression, its phenotype and function in ESCC require further investigation. In this study, we report for the first time on the role of STK3 kinase and its activation condition in ESCC, as well as the mechanism and mediators of kinase activation.

Methods
In this study, we investigated the expression and clinical significance of STK3 in ESCC. We first used bioinformatics databases and immunohistochemistry to analyze STK3 expression in the ESCC patient cohort and conducted survival analysis. In vivo, we conducted a tumorigenicity assay using nude mouse models to demonstrate the phenotypes of STK3 kinase. In vitro, we conducted Western blot analysis, qPCR analysis, CO-IP, and immunofluorescence (IF) staining analysis to detect molecule expression, interaction, and distribution. We measured proliferation, migration, and apoptosis abilities in ESCC cells in the experimental groups using CCK-8 and transwell assays, flow cytometry, and EdU staining. We used RNA-seq to identify genes that were differentially expressed in ESCC cells with silenced STK3 or FOXO1. We demonstrated the regulatory relationship of the TP53INP1/P21 gene medicated by the STK3-FOXO1 axis using Western blotting and ChIP in vitro.

Results
We demonstrate high STK3 expression in ESCC tissue and cell lines compared to esophageal epithelium. Cellular ROS induces STK3 autophosphorylation in ESCC cells, resulting in upregulated p-STK3/4. STK3 activation inhibits ESCC cell proliferation and migration by triggering apoptosis and suppressing the cell cycle. STK3 kinase activation phosphorylates FOXO1Ser212, promoting nuclear translocation, enhancing transcriptional activity, and upregulating TP53INP1 and P21. We also investigated TP53INP1 and P21’s phenotypic effects in ESCC, finding that their knockdown significantly increases tumor proliferation, highlighting their crucial role in ESCC tumorigenesis.

Conclusion
STK3 kinase has a high expression level in ESCC and can be activated by cellular ROS, inhibiting cell proliferation and migration. Additionally, STK3 activation-mediated FOXO1 regulates ESCC cell apoptosis and cell cycle arrest by targeting TP53INP1/P21. Our research underscores the anti-tumor function of STK3 in ESCC and elucidates the mechanism underlying its anti-tumor effect on ESCC.