bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long intergenic non-protein-coding RNA 01446 facilitates the proliferation and metastasis of gastric cancer cells through interacting with the histone lysine-specific demethylase LSD1
Authors: Lian Yifan , Yan Changsheng , Lian Yikai , Yang Renzhi , Chen Qiongyun , Ma Dan , Lian Weibin , Liu Jingjing , Luo Chengyan , Ren Jianlin , Xu Hongzhi 
Published: July 2020

AbstractGrowing evidences illustrated that long non-coding RNAs (lncRNAs) exhibited widespread effects on the progression of human cancers via various mechanisms. Long intergenic non-protein-coding RNA 01446 (LINC01446), a 3484-bp ncRNA, is known to locate at chromosome 7p12.1. However, its biological functions and specific action mechanism in gastric cancer (GC) are still unclear. In our study, LINC01446 was proved to be markedly upregulated in GC tissues relative to the normal tissues, and positively correlated with the poor survival of GC patients. The multivariate Cox regression model showed that LINC01446 functioned as an independent prognostic factor for the survival of GC patients. Functionally, LINC01446 facilitated the proliferation and metastasis of GC cells. Moreover, RNA-seq analysis demonstrated that LINC01446 knockdown primarily regulated the genes relating to the growth and migration of GC. Mechanistically, LINC01446 could widely interact with histone lysine-specific demethylase LSD1 and recruit LSD1 to the Ras-related dexamethasone-induced 1 (RASD1) promoter, thereby suppressing RASD1 transcription. Overall, these findings suggest that LINC01446/LSD1/RASD1 regulatory axis may provide bona fide targets for anti-GC therapies.
Broadband optical properties of monolayer and bulk MoS2
Authors: Ermolaev Georgy A. , Stebunov Yury V. , Vyshnevyy Andrey A. , Tatarkin Dmitry E. , Yakubovsky Dmitry I. , Novikov Sergey M. , Baranov Denis G. , Shegai Timur , Nikitin Alexey Y. , Arsenin Aleksey V. , Volkov Valentyn S. 
Published: July 2020

AbstractLayered semiconductors such as transition metal dichalcogenides (TMDs) offer endless possibilities for designing modern photonic and optoelectronic components. However, their optical engineering is still a challenging task owing to multiple obstacles, including the absence of a rapid, contactless, and the reliable method to obtain their dielectric function as well as to evaluate in situ the changes in optical constants and exciton binding energies. Here, we present an advanced approach based on ellipsometry measurements for retrieval of dielectric functions and the excitonic properties of both monolayer and bulk TMDs. Using this method, we conduct a detailed study of monolayer MoS2 and its bulk crystal in the broad spectral range (290–3300 nm). In the near- and mid-infrared ranges, both configurations appear to have no optical absorption and possess an extremely high dielectric permittivity making them favorable for lossless subwavelength photonics. In addition, the proposed approach opens a possibility to observe a previously unreported peak in the dielectric function of monolayer MoS2 induced by the use of perylene-3,4,9,10-tetracarboxylic acid tetrapotassium salt (PTAS) seeding promoters for MoS2 synthesis and thus enables its applications in chemical and biological sensing. Therefore, this technique as a whole offers a state-of-the-art metrological tool for next-generation TMD-based devices.
Fluctuation X-ray diffraction reveals three-dimensional nanostructure and disorder in self-assembled lipid phases
Authors: Martin Andrew V. , Kozlov Alexander , Berntsen Peter , Roque Francisco Gian , Flueckiger Leonie , Saha Saumitra , Greaves Tamar L. , Conn Charlotte E. , Hawley Adrian M. , Ryan Timothy M. , Abbey Brian , Darmanin Connie 
Published: July 2020

AbstractEmergent nanoscale order in materials such as self-assembled lipid phases, colloidal materials and metal-organic frameworks is often characterized by small-angle X-ray scattering (SAXS). Frequently, residual disorder in these materials prevents high-resolution 3D structural characterization. Here we demonstrate that angular intensity variations in SAXS patterns can provide previously inaccessible information about local 3D structure via a rich, real-space distribution of three- and four-body statistics. We present the many-body characterisation of a monoolein-based hexagonal phase doped with a phospholipid, revealing non-uniform curvature in the lipid channels, likely due to phase separation of the lipids in the membrane. Our many-body technique has general applicability to nanomaterials with order in the range 10 nm−1 μm currently targeted by synchrotron SAXS and has the potential to impact diverse research areas within chemistry, biology and materials science.
Cortical and Subcortical Control of Swallowing—Can We Use Information From Lesion Locations to Improve Diagnosis and Treatment for Patients With Stroke?
Authors: Wilmskoetter Janina , Daniels Stephanie K. , Miller Arthur J. 
Published: July 2020

PurposeSwallowing is a complex process, mediated by a broad bilateral neural network that spans from the brainstem to subcortical and cortical brain structures. Although the cortex's role in swallowing was historically neglected, we now understand, especially through clinical observations and research of patients with stroke, that it substantially contributes to swallowing control. Neuroimaging techniques (e.g., magnetic resonance imaging) have helped significantly to elucidate the role of cortical and subcortical brain areas, in general, and the importance of specific areas in swallowing control in healthy individuals and patients with stroke. We will review recent discoveries in cortical and subcortical neuroimaging research studies and their generalizability across patients to discuss their potential implications and translation to dysphagia diagnosis and treatment in clinical practice.ConclusionsStroke lesion locations have been identified that are commonly associated across patients with the occurrence and recovery of dysphagia, suggesting that clinical brain scans provide useful information for improving the diagnosis and treatment of patients with stroke. However, individual differences in brain structure and function limit the generalizability of these relationships and emphasize that the extent of the motor and sensory pathology in swallowing, and how the patient recovers, also depends on a patient's individual brain constitution. The involvement of the damaged brain tissue in swallowing control before the stroke and the health of the residual, undamaged brain tissue are crucial factors that can differ between individuals.
Advances in the Use of Neuromodulation for Neurogenic Dysphagia: Mechanisms and Therapeutic Application of Pharyngeal Electrical Stimulation, Transcranial Magnetic Stimulation, and Transcranial Direct Current Stimulation
Authors: Sasegbon Ayodele , Cheng Ivy , Zhang Mengqing , Hamdy Shaheen 
Published: July 2020

Purpose
The swallowing motor system and, specifically, its cortical substrates appear to have certain unique properties that make it highly susceptible to brain plasticity, both driven and following injury. Furthermore, neurogenic dysphagia is a common complication of brain disease, associated with poor outcomes, and yet treatment options remain limited. Therefore, translating the physiology of neurostimulation into clinical populations becomes imperative. In this review, we describe therapeutic application of neuroplasticity in the human swallowing motor system by initially examining the role of pharyngeal electrical stimulation from a mechanistic perspective and then reporting on clinical studies using this approach. Thereafter, we explore the application of noninvasive brain stimulation, which has previously been used to treat nervous system disorders such as depression, pain modulation, and cognitive impairment. Transcranial brain stimulations, in particular, transcranial magnetic stimulation and transcranial direct current stimulation, have been utilized by a number of investigators for rehabilitation in early-stage clinical trials, including dysphagia after neurological disease. In this review, we assess its usefulness in neurogenic dysphagia.

Conclusion
Early studies indicate these emerging neurostimulatory techniques hold future therapeutic promise. However, both a greater number of and larger clinical trials are required to provide evidence delineating their efficacy and scope of application.
Kann die Symptombelastung einen regulären oder irregulären Behandlungsabschluss bei Substanzkonsumstörungen vorhersagen?
Authors: Brokatzky Stefan , Blessing Andreas , Rudaz Myriam , Hansen Aksel , Dammann Gerhard 
Published: July 2020

ZusammenfassungZiel der Studie Das Ziel der vorliegenden explorativen Studie war zu untersuchen, ob die subjektive Symptombelastung vor und während der Behandlung von PatientInnen mit einer Substanzkonsumstörung einen Einfluss darauf hat, ob die Behandlung regulär (d. h. in gegenseitigem Einverständnis zwischen Therapeut und Patient) oder irregulär (d. h. Therapeut oder Patient bricht ab) beendet wird.Methodik In der vorliegenden, retrospektiven Untersuchung wurden 54 PatientInnen einer Drogenentzugs- und Entwöhnungsstation untersucht. Die Informationen zur Art des Behandlungsabschlusses wurden der Basisdokumentation und zur Symptombelastung der Brief-Symptom-Checkliste (BSCL) entnommen.Ergebnisse Die Ergebnisse der binären logistischen Regressionsanalysen zeigten, dass eine allgemeine Reduktion der Symptombelastung während der Behandlung mit einem regulären statt einem irregulären Behandlungsabschluss einherging. Die Analysen der Subskalen der BSCL ergaben signifikante Effekte für eine Abnahme der Ängstlichkeit und des Paranoiden Denkens während der Therapie zugunsten eines regulären Behandlungsabschlusses. Des Weiteren sagten hohe Werte der Zwanghaftigkeit zu Behandlungsbeginn einen regulären Behandlungsabschluss vorher.Schlussfolgerung Bei der Behandlung von PatientInnen mit Substanzkonsumstörungen erscheint es sinnvoll, die allgemeine subjektive Symptombelastung während der Behandlung zu erfragen, um Therapieabbrüche zu vermeiden. Insbesondere sollten die Ängstlichkeit und das Paranoide Denken in den Fokus der Behandlung rücken, da diese in der vorliegenden Studie einen regulären Behandlungsabschluss vorhersagten.
Severe Polyhydramnios with Consistent Fetal Full Bladder: A Novel Sign of Antenatal Bartter's Disease
Authors: Thakur Seema , Kumar Manisha , Malhotra Supriya , Paliwal Preeti , Thareja Vandana , Sahi Gaurika 
Published: July 2020

AbstractBartter's disease, an inherited renal tubular disorder is due to a defect in ion transport across the ascending limb of the loop of Henle leading to failure of the ability of kidneys to concentrate urine and hence polyuria. We present three fetuses of mothers with severe polyhydramnios with normal maternal blood sugar profile, routine Toxoplasma, Rubella, Cytomegalovirus, Herpes (TORCH) serology. The ultrasound showed no structural anomaly in the fetus, but consistent overdistended bladder with severe polyhydramnios was observed without any evidence of obstructive uropathy. The biochemical test on amniotic fluid was suggestive of Bartter's disease in case 1 and borderline in case 2, and next-generation sequencing confirmed a mutation of KCNJ1 associated with Bartter's disease Type II in case 1 and a mutation in SLC21A1 in case 2. Amniotic fluid biochemistry was inconclusive in case 3. A consistent full bladder with severe polyhydramnios with onset around 24 to 25 weeks was a novel finding which was observed due to fetal polyuria and can be used as a clue to investigate cases with severe polyhydramnios with no structural anomaly. Antenatal diagnosis will help in the proper management of child and genetic counseling for the next pregnancy.
Is Patient Advocacy the Solution to Physician Burnout?
Authors: Jeelani Roohi , Lieberman Daniel , Chen Serena H. 
Published: July 2020

AbstractPhysician burnout has been on the rise over the last several decades in a variety of specialties, leading to high rates of physician suicide and poor health outcomes for patients. As leaders in healthcare attempt to combat this issue through mental health initiatives and changes in medical training policies, we propose patient advocacy as a powerful technique to combat physician burnout and restore autonomy, purpose, and meaning into physicians' lives.
Nanosecond pulsed discharges in distilled water-Part II: line emission and plasma propagation
Authors: von Keudell A , Grosse K , Schulz-von der Gathen V 
Published: July 2020

Abstract
Nanosecond plasmas in liquids can initiate chemical processes that are exploited in the fields of water treatment, electrolysis or biomedical applications. The understanding of these chemical processes relies on unraveling the dynamics of the variation of pressures, temperatures and species densities during the different stages of plasma ignition and plasma propagation as well as the conversion of the liquid into the plasma state and the gas phase. This is analyzed by monitoring the emission of nanosecond pulsed plasmas that are generated by high voltages of 20 kV and pulse lengths of 10 ns applied to a tungsten tip with 50 μm diameter immersed in water. The spectra are acquired with a temporal resolution of 2 ns and the emission pattern is modelled by a combination of black body radiation from the hot tungsten tip and the pronounced emission lines of the hydrogen Balmer series. The data indicate two contributions of the hydrogen line radiation that differ with respect to the degree of self-absorption. It is postulated that one contribution originates from a recombination region showing strong self absorption and one contribution from an ionization region showing very little self-absorption. The emission lines from the ionization region are evaluated assuming Stark broadening, that yielded electron densities up to 5 × 1025 m−3. The electron density evolution follows the same trend as the temporal evolution of the voltage applied to the tungsten tip. The propagation mechanism of the plasma is similar to that of a positive streamer in the gas phase, although in the liquid phase field effects such as electron transport by tunneling should play an important role.
PEDOT:PSS-based micromuscles and microsensors fully integrated in
flexible chips
Authors: Rohtlaid Kätlin , Seurre Lauréline , Nguyen Giao T M , Curley Garrett , Soyer Caroline , Grondel Sébastien , Vidal Frédéric , Plesse Cédric , Cattan Eric 
Published: July 2020

Abstract
The demand for polymer-based soft micro-electro-mechanical systems (MEMS) is
growing due to the substantial increase of flexible and wearable electronic
devices. In this context, electronically conducting polymers (ECPs) fulfil the
requirements for soft MEMS by offering the possibility of actuation and sensing,
however, their miniaturization, their integration attempts and their resulting
performances are still limiting their use in real applications. In this work,
elaboration, integration and operation of soft and efficient microtransducers
based on commercially available poly(3,4-ethyledioxythiophene):poly(styrene
sulfonate) conductive ink into flexible chips is demonstrated. This original
process overcomes existing hurdles to the fabrication of fully integrated
ECP-based devices with gold remote contacts directly in contact with ECPs and
further embedding in flexible support. These batch-fabricated chips are actuated
at low voltage (±3.0 V) in open-air with individual accessible electrical
connections. More importantly, the mechanical strain sensing is evidenced for
the first time on such small ECP-based devices after full integration and
demonstrating low impact of the microfabrication process. This work opens the
way for further development of soft ECP-MEMS and integration into more complex
systems with possible applications in microrobotics, microfluidics,
optoelectronics, biology, medicine or space.
Non-volatile optical memory in vertical van der Waals heterostructures
Authors: Zhou Siyu , Peng Bo 
Published: July 2020

Abstract
Emulating synaptic plasticity in an artificial neural network is crucial to mimic the basic functions of the human brain. In this work, we report a new optoelectronic resistive random access memory (ORRAM) in a three-layer vertical heterostructure of graphene/CdSe quantum dots (QDs)/graphene, which shows non-volatile multi-level optical memory under optical stimuli, giving rise to light-tunable synaptic behaviors. The optical non-volatile storage time is up to ~450 s. The device realizes the function of multi-level optical storage through the interlayer changes between graphene and QDs. This work highlights the feasibility for applying two-dimensional (2D) materials in ORRAM and optoelectronic synaptic devices towards artificial vision.
Energy reconstruction of the ATLAS Tile Calorimeter under high pile-up conditions using the Wiener filter
Authors: Oliveira Gonçalves Dayane 
Published: July 2020

Abstract
The ATLAS experiment records data from the proton-proton collisions produced by the Large Hadron Collider (LHC). The Tile Calorimeter is the hadronic sampling calorimeter of ATLAS in the region

|
η
|

<
1.7

. It uses iron absorbers and scintillators as active material. Jointly with the other calorimeters it is designed for reconstruction of hadrons, jets,

τ

-lepton and missing transverse energy. It also assists in muon identification. The energy deposited by the particles in the Tile Calorimeter is read out by approximately 10,000 channels. The signal provided by the readout electronics for each channel is digitized at 40 MHz and its amplitude is estimated by an optimal filtering algorithm. The increase of LHC luminosity leads to signal pile-up that deforms the signal of interest and compromises the amplitude estimation performance. This work presents the proposed algorithm, based on the Wiener filter theory, for energy estimation in the Tile Calorimeter under high pile-up conditions during LHC Run 3. The performance of the proposed method is studied under various pile-up conditions and compared with the current optimal filtering method using proton-proton collision data.
Adversarial Neural Network-based data-simulation corrections for jet-tagging at CMS
Authors: Erdmann Martin , Fischer Benjamin , Noll Dennis , Alexander Rath Yannik , Rieger Marcel , Josef Schmidt David 
Published: July 2020

Abstract
Variable-dependent scale factors are commonly used in HEP to improve shape agreement of data and simulation. The choice of the underlying model is of great importance, but often requires a lot of manual tuning e.g. of bin sizes or fitted functions. This can be alleviated through the use of neural networks and their inherent powerful data modeling capabilities. We present a novel and generalized method for producing scale factors using an adversarial neural network. This method is investigated in the context of the bottom-quark jet-tagging algorithms within the CMS experiment. The primary network uses the jet variables as inputs to derive the scale factor for a single jet. It is trained through the use of a second network, the adversary, which aims to differentiate between the data and rescaled simulation.
Identifying hadronically-decaying vector bosons and top quarks in ATLAS
Authors: Majerský Oliver 
Published: July 2020

Abstract
Hadronic decays of vector bosons and top quarks are increasingly important to the ATLAS physics program, both in measurements of the Standard Model and searches for new physics. At high energies, these decays are collimated into a single overlapping region of energy deposits in the detector, referred to as a jet. However, vector bosons and top quarks are hidden under an enormous background of other processes producing jets. The ATLAS experiment has employed boosted decision trees and deep neural networks to the challenging task of identifying hadronically-decaying vector bosons and top quarks and rejecting other jet backgrounds. These discriminants are becoming increasingly complex and using more advanced machine learning techniques. The methods currently used to tag these objects are described. In order to improve the tagger performance on the signal efficiency and background rejection, new in-situ techniques are applied, thus directly evaluating the agreement between data and simulation after applying an arbitrarily complex classifier. The precision obtained by applying the in-situ techniques is presented.
Framing climate change for effective communication: a systematic map
Authors: Badullovich N , Grant W J , Colvin R M 
Published: July 2020

Abstract
Climate change emerged as an issue of science, but its broad ranging impacts and potential mitigation strategies mean it is of significance to all people across sectors, interests, and nations. As a result, the traditional fact-centred way of communicating information about climate change is not necessarily the best strategy for engaging the full breadth of publics. In communication practice and scholarship, framing is an approach that emphasises certain attributes of an issue over others and as a consequence shapes how that issue is understood. This has led to the scholarly exploration of framing as a technique for tailoring climate change communication to engage diverse publics. Over the past two decades, research has examined a range of different frames for the communication of climate change, such as Public health, National security and Economic prosperity/development. With this literature now rapidly expanding, it is crucial to synthesise existing evidence so that future research efforts and climate communication interventions are best informed about the current knowledge-base and research gaps. This article presents this synthesis in the form of a systematic map. We systematically searched scholarly (Scopus and Web of Science) and grey literature databases for English-language climate change framing literature. All articles were screened at the title/abstract and full-text level, with included articles incorporated into a Microsoft (MS) Excel database. The information extracted from the literature included bibliometric, geographical and other data pertaining to study design and the climate change frames examined. Our systematic map includes 274 articles (281 studies). The most common frames appearing in this literature base (making up about 50% of the total) were Scientific, Economic and Environmental. Other frames such as Public health, Disaster and Morality/ethics appear to be gaining more scholarly attention in recent years. Almost half of the collected studies are from the United States but there is a growing trend of studies comparing climate change frames from other countries. Climate change frames are numerous and can have different efficacies depending upon country and social-political context. Research needs to be reflexive in its approach to understand the broader impact of framing in climate change communication and should continue to employ multi-national studies and explore climate change framing effects in under-researched nations to combat bias.