bluuebunny/crossref_metadata_2025_split huggingface dataset:
CD44v3 is a marker of invasive cancer stem cells driving metastasis in gastric carcinoma
Authors: Giraud Julie , Seeneevassen Lornella , Rousseau Benoit , Bouriez Damien , Sifré Elodie , Giese Alban , Nguyen Tra Ly , Tiffon Camille , Lippi Yannick , Azzi-Martin Lamia , Pannequin Julie , Ménard Armelle , Bessède Emilie , Staedel Cathy , Mégraud Francis , Belleannée Geneviève , Lehours Philippe , Gronnier Caroline , Dubus Pierre , Varon Christine 
Published: December 2022

Abstract
Background
Cancer stem cells (CSCs) are at the origin of tumour initiation and progression in gastric adenocarcinoma (GC). However, markers of metastasis-initiating cells remain unidentified in GC. In this study, we characterized CD44 variants expressed in GC and evaluated the tumorigenic and metastatic properties of CD44v3+ cells and their clinical significance in GC patients.

Methods
Using GC cell lines and patient-derived xenografts, we evaluated CD44+ and CD44v3+ GC cells molecular signature and their tumorigenic, chemoresistance, invasive and metastatic properties, and expression in patients-derived tissues.

Results
CD44v3+ cells, which represented a subpopulation of CD44+ cells, were detected in advanced preneoplastic lesions and presented CSCs chemoresistance and tumorigenic properties in vitro and in vivo. Molecular and functional analyses revealed two subpopulations of gastric CSCs: CD44v3+ CSCs with an epithelial-mesenchymal transition (EMT)-like signature, and CD44+/v3– CSCs with an epithelial-like signature; both were tumorigenic but CD44v3+ cells showed higher invasive and metastatic properties in vivo. CD44v3+ cells detected in the primary tumours of GC patients were associated with a worse prognosis.

Conclusion
CD44v3 is a marker of a subpopulation of CSCs with metastatic properties in GC. The identification of metastasis-initiating cells in GC represents a major advance for further development of anti-metastatic therapeutic strategies.
The European carbon border adjustment mechanism: a small step in the right direction
Authors: Korpar Niko , Larch Mario , Stöllinger Roman 
Published: December 2022

Abstract
We estimate the effects of a European Carbon Border Adjustment (CBA) mechanism on exports, real GDP, welfare and emissions using the multi-region, multi-sector structural gravity model of Larch and Wanner (2017). Incorporating the main industries covered in the proposal of the European Commission from mid-2021, as well as its other design features, and assuming prevailing CO2 prices, we find only small effects of the European CBA mechanism. EU exports are estimated to decline by 0.04%, while CO2 emissions in EU countries increase by 0.24%. These negligible results mask larger adjustments at the sectoral level. The structural changes will shift the EU economy towards more emission-intensive industries, which will make achieving its climate goals harder. On the positive side, the European CBA mechanism will reduce global emissions by 0.08%. Given the minute economic costs in terms of GDP and welfare losses, the CBA mechanism seems an appropriate policy tool, though its proposed design will not be able to make a significant contribution to mitigating global climate change.
On Group Invariants Determined by Modular Group Algebras: Even Versus Odd Characteristic
Authors: García-Lucas Diego , del Río Ángel , Stanojkovski Mima 
Published: December 2022

AbstractLet p be a an odd prime and let G be a finite p-group with cyclic commutator subgroup $G^{\prime }$

G

′

. We prove that the exponent and the abelianization of the centralizer of $G^{\prime }$

G

′

in G are determined by the group algebra of G over any field of characteristic p. If, additionally, G is 2-generated then almost all the numerical invariants determining G up to isomorphism are determined by the same group algebras; as a consequence the isomorphism type of the centralizer of $G^{\prime }$

G

′

is determined. These claims are known to be false for p = 2.
Developing a Workflow Management System Simulation for Capturing Internal IaaS Behavioural Knowledge
Authors: Al-Haboobi Ali , Kecskemeti Gabor 
Published: December 2022

AbstractScientific workflows are becoming increasingly important for complex scientific applications. Conducting real experiments for large-scale workflows is challenging because they are very expensive and time consuming. A simulation is an alternative approach to a real experiment that can help evaluating the performance of workflow management systems (WMS) and optimise workflow management techniques. Although there are several workflow simulators available today, they are often user-oriented and treat the cloud as a black box. Unfortunately, this behaviour prevents the evaluation of the infrastructure level impact of the various decisions made by the WMSs. To address these issues, we have developed a WMS simulator (called DISSECT-CF-WMS) on DISSECT-CF that exposes the internal details of cloud infrastructures. DISSECT-CF-WMS enables better energy awareness by allowing the study of schedulers for physical machines. It also enables dynamic provisioning to meet the resource needs of the workflow application while considering the provisioning delay of a VM in the cloud. We evaluated our simulation extension by running several workflow applications on a given infrastructure. The experimental results show that we can investigate different schedulers for physical machines on different numbers of virtual machines to reduce energy consumption. The experiments also show that DISSECT-CF-WMS is up to 295× faster than WorkflowSim and still provides equivalent results. The experimental results of auto-scaling show that it can optimise makespan, energy consumption and VM utilisation in contrast to static VM provisioning.
The Role of Guadua Bamboo in Land Management and Indigenous Perspectives on Bamboo Ecosystems in Southwestern Amazonia
Authors: Virtanen Pirjo Kristiina , Apurinã Francisco , Ruokolainen Kalle , Manchineri Lucas 
Published: December 2022

AbstractWe examine the Indigenous uses, oral histories, and knowledge of native Guadua bamboo species in southwestern Amazonia. Two Guadua species form dense stands in which individual plants die en masse at regular intervals of about 28 years. Scholars suggested that pre-colonial earth builders took advantage of these die-off events as a natural aid in removing the forest to construct geometric earthworks. Our results show that Guadua species have a significant position in Indigenous socio-cosmologies, land use, and as a protector of diverse resources. Indigenous ontological understandings cannot be separated from discussions of the abundance and geographical distribution of Guadua as a critical controlling factor in the vegetation structure and function of southwestern Amazonian rain forests. Furthermore, oral histories point to the connection between land management and bamboo, as well as bamboo and the use of fire, conforming to the suggestion of opening ceremonial spaces in bamboo patches in pre-colonial earthwork societies.
TRPA1/M8 agonists upregulate ciliary beating through the pannexin-1 channel in the human nasal mucosa
Authors: Nguyen Thi Nga , Koga Yuma , Wakasugi Tetsuro , Kitamura Takuro , Suzuki Hideaki 
Published: December 2022

Abstract
Background
Nasal breathing is important for maintaining physiological respiration. However, airflow in the nasal cavity has an inherent cooling effect and may suppress ciliary beating, an essential frontline defense in the airway. Nasal airflow is thought to be perceived by thermoreceptors for cool temperatures. We herein investigated the effect of the activation of thermosensitive transient receptor potentials (TRPs) for cool/cold temperatures on ciliary beating to search for a compensatory mechanism.

Methods
Inferior turbinates were collected from patients with chronic hypertrophic rhinitis. Ex vivo ciliary beat frequency (CBF) and ATP release were measured using a high-speed digital video camera and by luciferin-luciferase assay, respectively. Intracellular Ca2+ ([Ca2+]i) imaging of isolated ciliated cells was performed using Fluo-8. The nasal mucosae were also subjected to fluorescence immunohistochemistry and real-time RT-PCR for TRPA1/TRPM8.

Results
CBF was significantly increased by adding either cinnamaldehyde (TRPA1 agonist) or l-menthol (TRPM8 agonist). This increase was inhibited by pannexin-1 blockers, carbenoxolone and probenecid. Cinnamaldehyde and l-menthol also increased the ATP release from the nasal mucosa and [Ca2+]i of isolated ciliated cells. Immunohistochemistry detected TRPA1 and TRPM8 on the epithelial surface including the cilia and in the submucosal nasal glands. Existence of these receptors were confirmed at the transcriptional level by real-time RT-PCR.

Conclusions
These results indicate the stimulatory effect of the activation of TRPA1/TRPM8 on ciliary beating in the nasal mucosa, which would be advantageous to maintain airway mucosal defense against the fall of temperature under normal nasal breathing. This stimulatory effect is likely to be mediated by pannexin-1.
Deep learning-based system for automatic prediction of triple-negative breast cancer from ultrasound images
Authors: Boulenger Alexandre , Luo Yanwen , Zhang Chenhui , Zhao Chenyang , Gao Yuanjing , Xiao Mengsu , Zhu Qingli , Tang Jie 
Published: December 2022

Abstract
To develop a deep-learning system for the automatic identification of triple-negative breast cancer (TNBC) solely from ultrasound images. A total of 145 patients and 831 images were retrospectively enrolled at Peking Union College Hospital from April 2018 to March 2019. Ultrasound images and clinical information were collected accordingly. Molecular subtypes were determined from immunohistochemical (IHC) results. A CNN with VGG-based architecture was then used to predict TNBC. The model’s performance was evaluated using randomized k-fold stratified cross-validation. A t-SNE analysis and saliency maps were used for model visualization. TNBC was identified in 16 of 145 (11.03%) patients. One hundred fifteen (80%) patients, 15 (10%) patients, and 15 (10%) patients formed the train, validation, and test set respectively. The deep learning system exhibits good efficacy, with an AUC of 0.86 (95% CI: 0.64, 0.95), an accuracy of 85%, a sensitivity of 86%, a specificity of 86%, and an F1-score of 0.74. In addition, the internal representation features learned by the model showed clear differentiation across molecular subtype groups. Such a deep learning system can automatically predict triple-negative breast cancer preoperatively and accurately. It may help to get to more precise and comprehensive management.
Graphical Abstract
MicroRNA-149 Regulates Proliferation, Migration, and Invasion of Pituitary Adenoma Cells by Targeting ADAM12 and MMP14
Authors: Zhang Zhuo , Schäfer Agnes , Voellger Benjamin , Wang Jun-wen , Lei Ting , Nimsky Christopher , Bartsch Jörg W. 
Published: December 2022

Abstract
Objective
Pituitary adenomas (PAs) can adapt an aggressive phenotype by invading adjacent brain structures with rapid cellular proliferation. Previous studies demonstrated that excessive expression of metalloproteases ADAM12 and MMP-14 is instrumental for the active proliferation and invasiveness of PA cells in vitro and of tumors in vivo. However, the mechanisms regulating ADAM12 and MMP-14 expression in PAs remain unclear.

Methods
Target gene prediction and transcriptomic profiling of invasive vs. noninvasive human PA samples were performed to identify miRNA species potentially involved in the regulation of ADAM12 and MMP14. For cellular analyses of miRNA functions, two mouse PA cell lines (AtT20 and TtT/GF) were transfected with miR-149-3p and miR-149-5p, respectively. The effects of miR-149 (3p and 5p) on expression levels of ADAM12 and MMP14 were determined by Western blotting followed by an analysis of proliferation and colony formation assays, scratch migration assays, and invasion assays.

Results
A significant downregulation of miRNA-149 was observed in invasive vs. noninvasive PA (0.32 vs. 0.09, P<0.0001). In AtT-20 and TtT/GF mouse PAs cells, transfection of mimic miRNA-149 (3p and 5p) caused a significantly reduced cell proliferation and matrigel invasion, whilst the effect on cell migration was less pronounced. Both strands of miRNA-149 (3p and 5p) markedly reduced protein levels of ADAM12 and MMP-14 by at least 40% in both cell lines.

Conclusion
This study proved that the invasiveness of PA cells is, at least partly, regulated by miRNA-149-dependent expression of ADAM12 and MMP-14.
Competitive devaluations in the 1930s: myth or reality?
Authors: Ljungberg Jonas 
Published: December 2022

AbstractThis article is the first examination of competitive devaluation in the 1930s using data on exchange rates. It analyses the impact of currency changes on foreign trade flows of fourteen industrialized countries 1929–1939. It reviews the development of nominal and real effective exchange rates together with trade and economic growth and conducts a disaggregated analysis of trade and bilateral exchange rates with trade partners. Tests show that the beggar-thy-neighbour effects of exchange rate adjustments were few and temporary. Moreover, it is argued that currency depreciations were expansionary not only for countries that devalued but for the international economy as a whole. This argument draws on Ragnar Nurkse (Nurkse, International currency experience, Lessons of the Inter-War Period. League of Nations, 1944) who undeservingly has been associated with the notion of “competitive devaluation”. Nurkse showed that currency depreciations increased global monetary reserves, an observation that has gone remarkably overlooked in the literature.
Constraint relaxation for the discrete ordered median problem
Authors: Martínez-Merino Luisa I. , Ponce Diego , Puerto Justo 
Published: December 2022

AbstractThis paper compares different exact approaches to solve the Discrete Ordered Median Problem (DOMP). In recent years, DOMP has been formulated using set packing constraints giving rise to one of its most promising formulations. The use of this family of constraints, known as strong order constraints (SOC), has been validated in the literature by its theoretical properties and because their linear relaxation provides very good lower bounds. Furthermore, embedded in branch-and-cut or branch-price-and-cut procedures as valid inequalities, they allow one to improve computational aspects of solution methods such as CPU time and use of memory. In spite of that, the above mentioned formulations require to include another family of order constraints, e.g., the weak order constraints (WOC), which leads to coefficient matrices with elements other than {0,1}. In this work, we develop a new approach that does not consider extra families of order constraints and furthermore relaxes SOC -in a branch-and-cut procedure that does not start with a complete formulation- to add them iteratively using row generation techniques to certify feasibility and optimality. Exhaustive computational experiments show that it is advisable to use row generation techniques in order to only consider {0,1}-coefficient matrices modeling the DOMP. Moreover, we test how to exploit the problem structure. Implementing an efficient separation of SOC using callbacks improves the solution performance. This allows us to deal with bigger instances than using fixed cuts/constraints pools automatically added by the solver in the branch-and-cut for SOC, concerning both the formulation based on WOC and the row generation procedure.
Laser trimming for lithography-free fabrications of MoS2 devices
Authors: Xie Yong , Çakıroğlu Onur , Hu Wenshuai , He Kexin , Puebla Sergio , Pucher Thomas , Zhao Qinghua , Ma Xiaohua , Munuera Carmen , Castellanos-Gomez Andres 
Published: December 2022

AbstractSingle-layer MoS2 produced by mechanical exfoliation is usually connected to thicker and multilayer regions. We show a facile laser trimming method to insulate single-layer MoS2 regions from thicker ones. We demonstrate, through electrical characterization, that the laser trimming method can be used to pattern single-layer MoS2 channels with regular geometry and electrically disconnected from the thicker areas. Scanning photocurrent microscope further confirms that in the as-deposited flake (connected to a multilayer area) most of the photocurrent is being generated in the thicker flake region. After laser trimming, scanning photocurrent microscopy shows how only the single-layer MoS2 region contributes to the photocurrent generation. The presented method is a direct-write and lithography-free (no need of resist or wet chemicals) alternative to reactive ion etching process to pattern the flakes that can be easily adopted by many research groups fabricating devices with MoS2 and similar two-dimensional materials.
Implications of genetic variations, differential gene expression, and allele-specific expression on metformin response in drug-naïve type 2 diabetes
Authors: Vohra M. , Sharma A. R. , Mallya S. , Prabhu N. B. , Jayaram P. , Nagri S. K. , Umakanth S. , Rai P. S. 
Published: December 2022

Abstract
Purpose
Metformin is widely used to treat type 2 diabetes mellitus (T2DM) individuals. Clinically, inter-individual variability of metformin response is of significant concern and is under interrogation. In this study, a targeted exome and whole transcriptome analysis were performed to identify predictive biomarkers of metformin response in drug-naïve T2DM individuals.

Methods
The study followed a prospective study design. Drug-naïve T2DM individuals (n = 192) and controls (n = 223) were enrolled. T2DM individuals were administered with metformin monotherapy and defined as responders and non-responders based on their glycated haemoglobin change over three months. 146 T2DM individuals were used for the final analysis and remaining samples were lost during the follow-up. Target exome sequencing and RNA-seq was performed to analyze genetic and transcriptome profile. The selected SNPs were validated by genotyping and allele specific gene expression using the TaqMan assay. The gene prioritization, enrichment analysis, drug-gene interactions, disease-gene association, and correlation analysis were performed using various tools and databases.

Results
rs1050152 and rs272893 in SLC22A4 were associated with improved response to metformin. The copy number loss was observed in PPARGC1A in the non-responders. The expression analysis highlighted potential differentially expressed targets for predicting metformin response (n = 35) and T2DM (n = 14). The expression of GDF15, TWISTNB, and RPL36A genes showed a maximum correlation with the change in HbA1c levels. The disease-gene association analysis highlighted MAGI2 rs113805659 to be linked with T2DM.

Conclusion
The results provide evidence for the genetic variations, perturbed transcriptome, allele-specific gene expression, and pathways associated with metformin drug response in T2DM.
Increasing Use of Video Telehealth Among Veterans Experiencing Homelessness with Substance Use Disorder: Design of A Peer-Led Intervention
Authors: Garvin Lynn A. , Greenan Mary Alexis , Edelman E. Jennifer , Slightam Cindie , McInnes D. Keith , Zulman Donna M. 
Published: December 2022

AbstractTelehealth offers promising opportunities, but also challenges, for veterans experiencing homelessness — during the COVID-19 pandemic and beyond. Recent research found low utilization of clinical video visits among homeless veterans receiving a VA tablet, and having a substance use disorder (SUD) further reduced visit likelihood. Hence, this study sought to identify unique barriers to telehealth use among veterans experiencing homelessness with a SUD and design an intervention to promote adoption. This qualitative study was guided by the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The study’s three phases included veteran interviews (N = 28) to identify barriers and facilitators to video telehealth use and propose intervention candidates, a provider expert panel to obtain feedback on interventions, and a focus group with veterans to complete the intervention. Finally, a prototype was designed using the intervention mapping approach. Veteran interviews revealed that barriers to video telehealth included complex physical and mental health issues, lack of digital literacy, and insufficient technical support. Together, veterans and experts proposed five intervention candidates. In the end, a veteran focus group combined two candidates, peer-led digital training and motivational interviewing. Intervention mapping was used to design a “stepped care” intervention that trains and activates veterans at all skill levels. This study demonstrates how inclusion of expert and veteran views led to development of a novel intervention to support and sustain video telehealth use among veterans experiencing homeless with SUD.
Rolling bearing fault feature extraction method based on GWO-optimized adaptive stochastic resonance signal processing
Authors: Quan Zhenya , Zhang Xueliang 
Published: December 2022

AbstractThe failure of rolling bearings affects the function and precision of rotating machinery significantly, which has drawn lots of attention in this field. Dealing with the failure of rolling bearings, fault feature extraction is the first and most important problem. In this work, we convert the bearing fault signal into stochastic resonance dynamics equivalently. And, adaptive stochastic resonance is adopted to extract the fault signal feature. In addition, for industrial application of fault signal processing with large amplitude and noise intensity greater than 1, normalized scale transformation is introduced into adaptive stochastic resonance and then solved by fifth-order Runge–Kutta algorithm. Then, to further optimize the solving precision of stochastic resonance model, the scaling coefficient and step size of Runge–Kutta algorithm are chosen with the help of Grey Wolf Optimizer (GWO). Thus, we can obtain a fast convergence speed, high calculation accuracy and effective improvement of signal-to-noise ratio fault feature extraction method for rolling bearing fault signal processing. Finally, a comparation simulation was carried out to demonstrate the efficiency of the proposed method. Compared with Cuckoo Search Optimizer-based stochastic resonance signal processing method, the proposed method achieved a higher signal-to-noise ratio (SNR) to benefit the fault feature extraction. In summary, this work gives out a more practical and effective solution for rolling bearing fault feature extraction in rotating machinery fault diagnosis field.
Mapping gendered spaces and women’s rights in the modern egyptian public sphere
Authors: Abdelrazek-Alsiefy Amany 
Published: December 2022

AbstractThis paper draws on secularisation and feminist theories to analyse the intersection between political, religious and economic factors in defining the gendered borders and women’s rights in the modern Egyptian public sphere. However, this present study concludes that the struggle for power between Islamists and secular-oriented forces and the rise of interactive social media platforms in a patriarchal class society revived the heated debates on women's rights, gendered spaces and the role of religion in the public sphere. Discussions point to a wide range of Egyptians' responses to these issues and also suggest that a new feminist consciousness and behaviour are growing. This new feminist consciousness is more grounded in a socio-economic context than a religious one. Therefore, this study suggests a need for serious societal and legal discussions to re-actualise laws pertaining to women's rights and visibility in the public sphere. These laws and a pro-women discourse should cope with the current socio-economic context and individuals' needs and aspirations in their globalized societies.