bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thirty years of SET/TAF1β/I2PP2A: from the identification of the biological functions to its implications in cancer and Alzheimer’s disease
Authors: Di Mambro Antonella , Esposito Maria Teresa 
Published: November 2022

AbstractThe gene encoding for the protein SE translocation (SET) was identified for the first time 30 years ago as part of a chromosomal translocation in a patient affected by leukemia. Since then, accumulating evidence have linked overexpression of SET, aberrant SET splicing, and cellular localization to cancer progression and development of neurodegenerative tauopathies such as Alzheimer’s disease. Molecular biology tools, such as targeted genetic deletion, and pharmacological approaches based on SET antagonist peptides, have contributed to unveil the molecular functions of SET and its implications in human pathogenesis. In this review, we provide an overview of the functions of SET as inhibitor of histone and non-histone protein acetylation and as a potent endogenous inhibitor of serine–threonine phosphatase PP2A. We discuss the role of SET in multiple cellular processes, including chromatin remodelling and gene transcription, DNA repair, oxidative stress, cell cycle, apoptosis cell migration and differentiation. We review the molecular mechanisms linking SET dysregulation to tumorigenesis and discuss how SET commits neurons to progressive cell death in Alzheimer’s disease, highlighting the rationale of exploiting SET as a therapeutic target for cancer and neurodegenerative tauopathies.
Genetically inducing renal lymphangiogenesis attenuates hypertension in mice
Authors: Goodlett Bethany L. , Balasubbramanian Dakshnapriya , Navaneethabalakrishnan Shobana , Love Sydney E. , Luera Emily M. , Konatham Sunitha , Chiasson Valorie L. , Wedgeworth Sophie , Rutkowski Joseph M. , Mitchell Brett M. 
Published: November 2022

Abstract
Background: Hypertension (HTN) is associated with renal proinflammatory immune cell infiltration and increased sodium retention. We reported previously that renal lymphatic vessels, which are responsible for trafficking immune cells from the interstitial space to draining lymph nodes, increase in density under hypertensive conditions. We also demonstrated that augmenting renal lymphatic density can prevent HTN in mice. Whether renal lymphangiogenesis can treat HTN in mice is unknown. We hypothesized that genetically inducing renal lymphangiogenesis after the establishment of HTN would attenuate HTN in male and female mice from three different HTN models.
Methods: Mice with inducible kidney-specific overexpression of VEGF-D (KidVD) experience renal lymphangiogenesis upon doxycycline administration. HTN was induced in KidVD+ and KidVD- mice by subcutaneous release of angiotensin II, administration of the nitric oxide synthase inhibitor L-NAME, or consumption of a 4% salt diet following a L-NAME priming and washout period. After a week of HTN stimuli treatment, doxycycline was introduced. Systolic blood pressure (SBP) readings were taken weekly. Kidney function was determined from urine and serum measures. Kidneys were processed for RT-qPCR, flow cytometry, and imaging.
Results: Mice that underwent renal-specific lymphangiogenesis had significantly decreased SBP and renal proinflammatory immune cells. Additionally, renal lymphangiogenesis was associated with a decrease in sodium transporter expression and increased fractional excretion of sodium, indicating improved sodium handling efficiency.
Conclusions: These findings demonstrate that augmenting renal lymphangiogenesis can treat HTN in male and female mice by improving renal immune cell trafficking and sodium handling.
Self-Reported Dual Sensory Impairment and Subjective Cognitive Complaints Among Older Adults in the 2019 National Health Interview Survey
Authors: Smith Jason R. , Betz Joshua F. , Garcia Emmanuel E. , Jiang Kening , Swenor Bonnielin K. , Reed Nicholas S. , Deal Jennifer A. 
Published: November 2022

Purpose:
Subjective cognitive complaints (SCCs) are associated with poor quality of life, important for clinical care planning and management, and may predict dementia diagnosis. Dual sensory impairment (DSI) is a risk factor for dementia, but whether DSI is associated with SCCs is unknown. We evaluated whether self-reported DSI is associated with SCCs.

Method:
We performed a cross-sectional analysis of 9,899 community-dwelling respondents aged 60+ years without dementia or depression in the 2019 National Health Interview Survey. Participants self-reported difficulty remembering or concentrating, seeing even when wearing corrective lenses, and hearing even when using a hearing aid. We defined SCCs and sensory impairment for each mode as reporting at least some difficulty. We categorized sensory impairment into no sensory impairment, vision impairment only, hearing impairment only, and DSI. We then estimated weighted prevalence ratios (PRs) of SCCs by impairment category.

Results:

After weighting (9,899 participants representing a weighted
n
= 59,261,749), 12% of participants reported vision impairment only, 19% reported hearing impairment only, and 7% reported DSI. Relative to no impairment, after adjustment for potential confounders, vision impairment (PR = 2.07; 95% confidence interval [CI] [1.79, 2.39]), hearing impairment (PR = 2.26; 95% CI [2.00, 2.55]), and DSI (PR = 3.21; 95% CI [2.83, 3.63]) were associated with an increased prevalence of SCCs.

Conclusions:
In this nationally representative survey of older Americans, DSI was associated with a threefold increased prevalence of SCCs. Although cross-sectional, these data underscore the importance of assessing multiple impairments as exposures when studying subjective cognition in older adults.

Supplemental Material:

https://doi.org/10.23641/asha.21498711
“I Avoid Interactions With Medical Professionals as Much as Possible Now”: Health Care Experiences of Individuals With Traumatic Brain Injuries
Authors: Hoepner Jerry K. , Keegan Louise C. 
Published: November 2022

Purpose:
This study examined the perceptions of health care experiences by individuals with traumatic brain injuries (TBIs) across the recovery continuum, regarding care received by a variety of health care providers following their TBI. It sought to identify whether perceptions differed across mild, moderate, and severe participants, as well as acute, subacute, and chronic recovery.

Method:
Eighteen individuals with TBI were interviewed, using the Sydney Psychosocial Reintegration Scale–Second Edition (SPRS-2) and a semistructured interview about health care perceptions. A qualitative investigation employing two methods, interpretive phenomenological analysis (IPA) and Systemic Functional Linguistics (SFL; modality and appraisal analysis), provided a micro and macrolevel discourse analysis.

Results:
IPA analyses of SPRS-2 interviews differed across severity levels but included changes to relationships, identity, and changes to social engagement and activity. IPA results revealed three core themes related to the health care experiences across severity that encompassed (a) frustrations with providers and (b) lack of support in the chronic phase, and (c) that finding support is crucial. SFL results provided insight into how individuals appraised such experiences in light of their identity and personal perspectives. Key differences between individuals with mild, moderate, and severe TBI diagnoses were found, with those who experienced a mild TBI expressing the most discontent with services received. Participants were most satisfied with acute care and least satisfied with chronic phase support.

Conclusions:
The results of this study have significant implications for health care professionals interacting with individuals who have experienced a TBI. Facilitating improved communication, referrals, increased access to mental health counseling, and resources such as groups to support identity expression could improve the health care experience.
Optimal adaptive protection of smart grids using high‐set relays and smart selection of relay tripping characteristics considering different network configurations and operation modes
Authors: Ataee‐Kachoee Amir Hossein , Hashemi‐Dezaki Hamed , Ketabi Abbas 
Published: November 2022

AbstractMuch attention has been paid to optimizing smart grids (SGs) and microgrids (MGs) protection schemes. The SGs’ operation in different operating modes (especially grid‐connected and islanded conditions) and various system configurations (such as the outage of each of the distribution generations) adversely influence the protection system. The adaptive protection schemes using different setting groups are suitable and reliable solutions to achieve a fast protective system. However, the literature shows a research gap in developing optimized adaptive protection schemes, focusing on constraint reduction, besides the optimal selection of time‐current characteristics for direction overcurrent relays (DOCRs) and high‐set relays (HSRs). This research aims to fill such a research gap. The power system analyses, such as power flow and short circuit studies, are done in DIgSILENT, and the genetic algorithm (GA) is used to find the optimum solutions. Test results of the IEEE 38‐bus distribution system illustrate the advantages of this study compared to existing ones. The comparative test results emphasize that 31.78% and 21.62% decrement in time of the protective scheme in different topologies for the distribution networks of the IEEE 38‐bus and IEEE 14‐bus test systems could be achievable by simultaneously optimizing relay characteristics and HSRs compared to existing approaches.
El condicional en las lenguas romances de la Península Ibérica
Authors: Lara Bermejo Víctor 
Published: November 2022

AbstractaEl condicional como tiempo verbal en las lenguas romances de la Península Ibérica se debate entre valores temporales y modales. En este artículo, pretendemos dar cuenta de su vigencia en la lengua vernácula de todas las áreas lingüísticas iberorromances y compararla con los usos que exhibía hace cien años. Para ello, hemos sacado datos de cinco corpus sociolingüísticos actuales así como delAtlas lingüístico de la Península Ibérica. Los resultados muestran una evolución drástica en el empleo del condicional, liderada por el español y el portugués, los cuales han convertido el condicional en una marca morfológica de evidencialidad. Frente a estos, el gallego y el catalán mantienen usos modales que no se relacionan con los evidenciales. Además, el análisis demuestra que el matiz temporal es ínfimo y a menudo inexistente en gran parte del ámbito peninsular, como ya sugerían los datos de hace cien años.
Transnational wisdom literature goes pop in translation
Authors: Washbourne Kelly 
Published: November 2022

AbstractThe genre of self-help often is nurtured – or hijacked – from highbrow literary traditions such as conduct literature and sacred texts. Translation is the mechanism whereby an ‘esotouristic’ or new-ageified text travels in ready consumability, a commercializing process that asserts forms that themselves are ideological, and dramatically shifts ‘mirrors for princes’ and works considered ‘high literature’ to works of mass marketability. The branding of yogic and Kabbalistic texts, and of authors Kahlil Gibran, Baltasar Gracián, Rumi, and Sun Tzu, is analyzed in this light. I object to the ‘timeless classic’ positioning of texts that deterritorializes, dehistoricizes, and deculturizes, and map these publications as forms of manipulation, especially exoticizing, genre shifting, radical recontextualizing, and allegorizing. The resulting hyper-acceptability of the distorted products for a self-helpified readership calls into question the translator’s complicity in appropriative, otherized cultural production.
A 3D-printed spiral actuator for focus adjustment in circumferential scanning endomicroscopy
Authors: Zöğ İsra Salaheldin , Gürcüoğlu Oğuz , Özdemir Özgür , Yelten Mustafa Berke , Ferhanoğlu Onur 
Published: November 2022

AbstractIn this study, we showcase the design, manufacturing, and characterization of the focus adjustment actuator for use in capsule endoscopy. The actuator has a spiral flexure, carrying a lens and multiple magnets at its center to facilitate focusing through electromagnetic actuation. The interplay between the spiral flexure length and the lens size is investigated for optimal performance. An external coil is utilized to drive the lens actuator with a low power (∼5 mW) to acquire data from targets placed at multiple depths, axially spanning a range of 5 mm. The proposed actuator was intended for use in a circumferentially scanning wireless capsule endoscopy to provide high-resolution imaging at multiple depth sections throughout the gastrointestinal tract. The proposed device, targeted for confocal imaging, comprises a laser source and a light detector, the 3D-printed focus adjusting actuator to address different layers, a prism integrated micro-motor for circumferential scanning. We showcase a proof of principle data acquisition from reflective targets placed at different depths, through utilizing a scanning micromotor in conjunction with the developed focus actuator. With further development, the proposed actuator can be adapted to clinical environment to perform optical biopsies.
Design and fabrication of non-resonant PZT MEMS micromirror with buried piezoresistors for closed loop position control
Authors: Vergara Andrea , Tsukamoto Takashiro , Fang Weileun , Tanaka Shuji 
Published: November 2022

Abstract
This paper reports on a 1D PZT micromirror integrated with buried piezoresistors for quasi-static feedback position control. The piezoresistors located along or below the PZT actuators could achieve the sensitivity as high as 3.1 mV/°, which was two orders of magnitude higher than the traditional ones located at the torsion springs (8.2 μV/°). This increased the signal-to-noise ratio by 2 orders of magnitude, which could enable the accurate position control. The response of the longitudinal sensors along the beams had a fast settling time less than 1 ms. The average position error was 0.975%, which was much better than that from the conventional shear stress sensor on the torsion bar of 3.1%.
Engineering and manipulating topological edge states in a tunable magnon chain
Authors: Li Bo , Li Shuai , Wang Yongsheng , Zhang Yanpeng , Li Feng 
Published: November 2022

Abstract
We propose an effective scheme for manipulating the topological edge states in a tunable magnon chain with yttrium iron garnet spheres. In this setup, the coupling interactions between two magnons are realized indirectly via a split-ring resonator. With these indirect magnon–magnon couplings, we design a finite dimer chain with the Su–Schrieffer–Heeger Hamiltonian, show that Rabi oscillations between the left and right edge modes may be observed in an even-numbered case. For comparison, the characteristic of the edge state in an odd-numbered case is different, and we find that topological pumping of the edge state can be achieved via an adiabatic passage protocol. More importantly, we theoretically demonstrate that both the Rabi dynamics and the adiabatic pumping protocol could be used for long-range quantum state transfer, but the adiabatic-pumping transfer is particularly robust against intensity noise. This work provides a promising platform for creating topological devices, which may further be applied in quantum information processing.
Automated classification of breast cancer histologic grade using multiphoton microscopy and generative adversarial networks
Authors: Xi Gangqin , Wang Qing , Zhan Huiling , Kang Deyong , Liu Yulan , Luo Tianyi , Xu Mingyu , Kong Qinglin , Zheng Liqin , Chen Guannan , Chen Jianxin , Zhuo Shuangmu 
Published: November 2022

Abstract
Histological grade is one of the most powerful prognostic factors for breast cancer and impacts treatment decisions. However, a label-free and automated classification system for histological grading of breast tumors has not yet been developed. In this study, we employed label-free multiphoton microscopy (MPM) to acquire subcellular-resolution images of unstained breast cancer tissues. Subsequently, a deep-learning algorithm based on the generative adversarial network (GAN) was introduced to learn a representation using only MPM images without the histological grade information. Furthermore, to obtain abundant image information and determine the detailed differences between MPM images of different grades, a multiple-feature discriminator network based on the GAN was leveraged to learn the multi-scale spatial features of MPM images through unlabeled data. The experimental results showed that the classification accuracies for tumors of grades 1, 2, and 3 were 92.4%, 88.6%, and 89.0%, respectively. Our results suggest that the fusion of multiphoton microscopy and the GAN-based deep learning algorithm can be used as a fast and powerful clinical tool for the computer-aided intelligent pathological diagnosis of breast cancer.
Ion dynamics in the magnetic nozzle of a waveguide ECR thruster via laser-induced fluorescence spectroscopy
Authors: Vinci Alfio E , Inchingolo Marco R , Mazouffre Stéphane , Navarro-Cavallé Jaume 
Published: November 2022

Abstract
Xenon ion velocity is mapped in the magnetic nozzle (MN) of a circular waveguide electron cyclotron resonance thruster operating at 5.8 GHz by means of laser-induced fluorescence spectroscopy in the near-infrared spectral range. An array of thruster operational parameters are explored to investigate the influence on the acceleration profile and terminal ion velocity. Owing to several mechanisms which broaden the measured spectra, e.g. Paschen-Back/Zeeman effect, inference of the most probable velocity along with the axial kinetic temperature requires full lineshape modeling, especially in the near-field plume and inside the source. Ions are effectively accelerated along the MN, reaching up to 12 000 m s−1 for the lowest neutral pressure tested. A relatively large axial kinetic temperature is observed, typically in the order of 5000 K, which can be attributed to an extended ionization region that overlaps with the acceleration region.
Two-atom-thin topological crystalline insulators lacking out of plane inversion symmetry
Authors: Barraza-Lopez Salvador , Naumis Gerardo G 
Published: November 2022

Abstract
A two-dimensional topological crystalline insulator (TCI) with a single unit cell (u.c.) thickness is demonstrated here. To that end, one first shows that tetragonal (C
4 in-plane) symmetry is not a necessary condition for the creation of zero-energy metallic surface states on TCI slabs of finite-thicknesses, because zero-energy states persist even as all the in-plane rotational symmetries—furnishing topological protection—are completely removed. In other words, zero-energy levels on the model are not due to (nor are they protected by) topology. Furthermore, effective two-fold energy degeneracies taking place at few discrete k-points away from zero energy in the bulk Hamiltonian—that are topologically protected—persist at the u.c. thickness limit. The chiral nature of the bulk TCI Hamiltonian permits creating a

2
×
2

square Hamiltonian, whose topological properties remarkably hold invariant at both the bulk and at the single u.c. thickness limits. The identical topological characterization for bulk and u.c.-thick phases is further guaranteed by a calculation involving Pfaffians. This way, a two-atom-thick TCI is deployed hereby, in a demonstration of a topological phase that holds both in the bulk, and in two dimensions.
Split Bregman algorithm based on adaptive parameter for planar array sensor imaging
Authors: Sun Yurong , Zhang Yuyan , Wen Yintang 
Published: November 2022

Abstract
Planar array capacitance imaging is a visualization imaging technique based on the edge effect of electric fields. However, there are ill-posed problem and soft-field effects in the imaging process, which results in unstable and susceptible imaging. To address this issue, the inverse solution of planar array capacitive imaging system is transformed into an optimization problem with the approximate solution of linear-squares. A new cost function with total variation sparse reconstruction model is presented, which considers the sparsity of regularization operator to improve the stability of the inversion process. The adaptive split Bregman iterative algorithm is proposed to solve the inverse optimization problem. The computation is simplified by splitting the complex optimization problem into simple subproblems. The results show that the algorithm can obtain stable model updates, and numerical experiments prove the effectiveness and reliability of the algorithm.
Phase separation enabled silver nano-array
Authors: Liu Tianchi , Chang Tzu-Lan , Zhou Xiaqing , Ruppel Scott , Liang Jun F 
Published: November 2022

Abstract
The surface-supported silver nanoparticles have been studied and applied in various applications. Many unique nanostructures have been introduced into this field to improve the functionalities of the surfaces depending on application purposes. We created featured silver nano-array surfaces by utilizing the solvent-mediated phase transition on the surface grafted with poly (acrylic) acids polymer chains and taking advantage of the low temperature of argon gas discharged plasma as a reducing agent. The applied solvents and grafted polymer chain densities affected the phase transition and thus determined the outcome of surface nano-array patterns. However, the total loaded silver ions on the surface affected silver nano-array structures at the sub-micron levels. The featured silver patterned surfaces made in the optimal conditions present a favorable surface-enhanced Raman spectroscopy enhancement as well as recyclability for detection re-usage. This novel method prepares tunable silver nanopatterned surfaces and provides a new approach to various potential applications.
Selective sensing properties and enhanced ferromagnetism in CrI3 monolayer via gas adsorption
Authors: Ai Wen , Hu Xiaohui , Yang Jian , Lu Chunhua , Sun Litao 
Published: November 2022

Abstract
Recent fabrication of chromium triiodide (CrI3) monolayers has raised potential prospects of developing two-dimensional (2D) ferromagnetic materials for spintronic device applications. The low Curie temperature has stimulated further interest for improving the ferromagnetic stability of CrI3 monolayer. Here, based on density functional theory calculations, we investigated the adsorption energy, charge transfer, electronic and magnetic properties of gases (CO, CO2, N2, NH3, NO, NO2, O2, and SO2) adsorption on the CrI3 monolayer. It is found that CrI3 is sensitive to the NH3, NO, and NO2 adsorption due to the high adsorption energy and large charge transfer. The electrical transport results show that the conductivity of CrI3 monolayer is significantly reduced with the adsorption of N-based gases, suggesting that CrI3 exhibits superior sensitivity and selectivity toward N-based gases. In addition, the ferromagnetic stability and Curie temperature (T
C) of CrI3 monolayer can be effectively enhanced by the adsorption of magnetic gases (NO, NO2, O2). This work not only demonstrates that CrI3 monolayer can be used as a promising candidate for gas sensing, but also brings further interest to tune the electronic and magnetic properties of 2D ferromagnetic materials via gas adsorption.
Linear Newman-Penrose charges as subleading BMS and dual BMS charges
Authors: Long George 
Published: November 2022

Abstract
In this paper, we further develop previous work on asymptotically flat spacetimes and extend subleading BMS and dual BMS charges in a large r expansion to all orders in r
−1. This forms a complete account of this prescription in relation to the previously discovered Newman-Penrose charges. We provide an explanation for the origin of the infinite tower of linear Newman-Penrose charges with regards to asymptotic symmetries and justify why these charges fail to be conserved at the non-linear level as well as failing to exhibit full supertranslation invariance even at the linear level.