bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of Connected Health Interventions for Adherence to Cardiovascular Disease Prevention: A Scoping Review
Authors: Agher Dahbia , Sedki Karima , Tsopra Rosy , Despres Sylvie , Jaulent Marie-Christine 
Published: August 2020

AbstractBackground Recent health care developments include connected health interventions to improve chronic disease management and/or promote actions reducing aggravating risk factors for conditions such as cardiovascular diseases. Adherence is one of the main challenges for ensuring the correct use of connected health interventions over time.Objective This scoping review deals with the connected health interventions used in interventional studies, describing the ways in which these interventions and their functions effectively help patients to deal with cardiovascular risk factors over time, in their own environments. The objective is to acquire knowledge and highlight current trends in this field, which is currently both productive and immature.Methods A structured literature review was constructed from Medline-indexed journals in PubMed. We established inclusion criteria relating to three dimensions (cardiovascular risk factors, connected health interventions, and level of adherence). Our initial search yielded 98 articles; 78 were retained after screening on the basis of title and abstract, 49 articles underwent full-text screening, and 24 were finally retained for the analysis, according to preestablished inclusion criteria. We excluded studies of invasive interventions and studies not dealing with digital health. We extracted a description of the connected health interventions from data for the population or end users.Results We performed a synthetic analysis of outcomes, based on the distribution of bibliometrics, and identified several connected health interventions and main characteristics affecting adherence. Our analysis focused on three types of user action: to read, to do, and to connect. Finally, we extracted current trends in characteristics: connect, adherence, and influence.Conclusion Connected health interventions for prevention are unlikely to affect outcomes significantly unless other characteristics and user preferences are considered. Future studies should aim to determine which connected health design combinations are the most effective for supporting long-term changes in behavior and for preventing cardiovascular disease risks.
Contrast trees and distribution boosting
Authors: Friedman Jerome H. 
Published: August 2020

SignificanceOften machine learning methods are applied and results reported in cases where there is little to no information concerning accuracy of the output. Simply because a computer program returns a result does not ensure its validity. If decisions are to be made based on such results it is important to have some notion of their veracity. Contrast trees represent an approach for assessing the accuracy of many types of machine-learning estimates that are not amenable to standard validation methods. In situations where inaccuracies are detected boosted contrast trees can often improve performance. A special case, distribution boosting, provides an assumption-free method for estimating the full probability distribution of an outcome variable given any set of joint input predictor variable values.
Illuminating the allosteric modulation of the calcium-sensing receptor
Authors: Liu Hongkang , Yi Ping , Zhao Wenjing , Wu Yuling , Acher Francine , Pin Jean-Philippe , Liu Jianfeng , Rondard Philippe 
Published: August 2020

Significance
G protein-coupled receptors regulate several physiological processes, many of which sense nutrients. The mode of action of these nutrients remains elusive, as it is difficult to control nutrient concentrations around living cells. The calcium-sensing receptor is regulated by multiple factors, including ions and amino acids, to control calcium homeostasis; and genetic mutations are responsible for human diseases. Here, we investigated this receptor in a perfect control of ambient nutrients. Based on the identification of calcium ion activation sites, we propose a molecular basis for how calcium and amino acids cooperate to control receptor activation. This leads to a model for the mechanism of activation of this receptor and its modulation by multiple ligands and genetic mutations.
IL-12 p40 monomer is different from other IL-12 family members to selectively inhibit IL-12Rβ1 internalization and suppress EAE
Authors: Mondal Susanta , Kundu Madhuchhanda , Jana Malabendu , Roy Avik , Rangasamy Suresh B. , Modi Khushbu K. , Wallace Jennillee , Albalawi Yasmeen A. , Balabanov Roumen , Pahan Kalipada 
Published: August 2020

Significance
The level of IL-12 p40 monomer (p40), a neglected member of the IL-12 family of cytokines, is less in serum of MS patients as compared to controls. Accordingly, supplementation of p40 inhibits the disease process of experimental autoimmune encephalomyelitis (EAE), an animal model of MS. The p40 inhibits the internalization of IL-12Rβ1, but neither IL-12Rβ2 nor IL-23R, and suppresses EAE via IL-12Rβ1. These results describe an anti-autoimmune property of p40 that may be beneficial in the treatment of MS and other autoimmune disorders.
Decoding three distinct states of the Syntaxin17 SNARE motif in mediating autophagosome–lysosome fusion
Authors: Li Ying , Cheng Xiaofang , Li Miao , Wang Yingli , Fu Tao , Zhou Zixuan , Wang Yaru , Gong Xinyu , Xu Xiaolong , Liu Jianping , Pan Lifeng 
Published: August 2020

Significance
Macroautophagy is essential for the maintenance of cellular homeostasis and physiology in mammals, and relies on vesicle fusion between the autophagosome and the lysosome, forming the autolysosome to degrade unwanted cytosolic contents for recycling. The membrane fusion between the autophagosome and lysosome requires ATG8 family proteins and autophagy-related SNARE proteins including Syntaxin17, VAMP8, and SNAP29, but with poorly understood mechanisms. In this study, through systemic biochemical and structural characterizations, we reveal three different states of the key autophagosomal SNARE protein Syntaxin17 and provide mechanistic insights into the autoinhibited state of Syntaxin17 as well as its interactions with ATG8 family proteins, SNAP29 and VAMP8. Our findings are valuable for further understanding the functions of Syntaxin17 in the autophagosome–lysosome fusion process.
Suppressing neutrophil-dependent angiogenesis abrogates resistance to anti-VEGF antibody in a genetic model of colorectal cancer
Authors: Itatani Yoshiro , Yamamoto Takamasa , Zhong Cuiling , Molinolo Alfredo A. , Ruppel Jane , Hegde Priti , Taketo M. Mark , Ferrara Napoleone 
Published: August 2020

Significance
Using mouse models that recapitulate key genetic abnormalities accumulating during colorectal cancer (CRC) tumorigenesis, we report that chemically induced colitis promoted development of colon tumors that were largely resistant to anti-VEGF antibody treatment. Serum G-CSF levels were markedly elevated after induction of colitis. Inhibition of G-CSF or Bv8/PROK2 increased the efficacy of anti-VEGF antibody and prevented onset of resistance. To verify the potential clinical relevance of these findings, we examined a series of CRC specimens and found that tumor-infiltrating neutrophils strongly expressed Bv8/PROK2. CRC patients had significantly higher plasma Bv8/PROK2 levels than healthy volunteers and high plasma Bv8/PROK2 levels were inversely correlated with overall survival. These findings establish Bv8/PROK2 as a translational target in CRC, in combination with anti-VEGF agents.
A socio­linguistic perspective on the (quasi-)modals of obligation and necessity in Australian English
Authors: Penry Williams Cara , Korhonen Minna 
Published: August 2020

Abstract
This article examines the distribution and socio­linguistic patterning of (quasi-)modals which express strong
obligation/necessity, namely must, have to, have got to, got to and need to, in Australian
English. Variationist studies in other varieties of English have had contrasting findings in terms of distributions of root forms,
as well as their conditioning by social and linguistic factors. The corpus analysis suggests real-time increased use of
need to and decrease in have got to through comparison to earlier findings. The variationist
analysis shows quasi-modals have to, have got to and got to as sensitive to speaker age and sex,
and a recent increase of have to via apparent time modelling. Linguistic conditioning relating to the type of
obligation and subject form is also found. The study contributes to socio­linguistic understanding of this large-scale change in
English and the place of Australian English amongst other varieties.
Discontinuous noun phrases in Ngkolmpu
Authors: Carroll Matthew J. 
Published: August 2020

AbstractIt has been claimed that Ngkolmpu (Yam, Papuan) displays discontinuous noun phrases (Donohue 2011). However, careful textual analysis of a corpus of naturalistic language reveals that, in practice, this is highly restricted. The data shows two relatively rare constructions which give rise to limited discontinuous structures. The first is an afterthought construction involving a full co-referential nominal constituent adjacent to the clause. This co-referential constituent is both syntactically and phonetically distinct from the main utterance. The other involves a topic marking demonstrative encliticised to verbs at the right edge of the clause interacting with general information-structural conditions on word order. This is the only true discontinuity found in the corpus and is restricted to demonstratives only. This paper clarifies a claim in the literature about the empirical facts of a specific language, Ngkolmpu, and adds a nuanced discussion of nominal discontinuity in a language of New Guinea.
MT Literacy—A cognitive view
Authors: O’Brien Sharon , Ehrensberger-Dow Maureen 
Published: August 2020

Abstract
MT literacy means knowing how MT works, how the technology can be useful in a particular context, and what the implications are of using it for various purposes. As MT usage grows, the necessity for MT literacy also grows. This knowledge forms part of the greater need for digital literacies. In this contribution, we relate MT literacy to the concept of cognitive load in professional translation production and in translator training scenarios. We then move beyond the sphere of translation studies to examine other use-case settings—crisis communication, academic writing and patent publishing—to consider how MT can offer solutions and how MT literacy can impact cognitively in those settings. We discuss how training in MT literacy can empower language professionals and present two proposals for course content designed for MT users in other sectors.
Cognitive load in relation to non-standard language input
Authors: Albl-Mikasa Michaela , Ehrensberger-Dow Maureen , Hunziker Heeb Andrea , Lehr Caroline , Boos Michael , Kobi Matthias , Jäncke Lutz , Elmer Stefan 
Published: August 2020

Abstract
The linguistic, psycholinguistic, and neural processes underlying simultaneous interpreting and translation have attracted
widespread interest in the research community. However, an understanding of the cognitive load associated with these bilingual activities is
just starting to emerge, and the underlying behavioral and physiological mechanisms are still poorly understood. In this article, we
describe a promising interdisciplinary approach to assess the behavioral and physiological indices of cognitive load during interpreting
and translation in laboratory and simulated workplace settings. In this context, we emphasize the importance of ecological validity and
explain how comparisons between authentic non-standard input and edited English versions of the same stimuli can be used to evaluate
cognitive load while controlling for the general cognitive demands associated with interpreting and translation. The perspective we present
in this article might pave the way for a clearer understanding of the multifaceted dimensions of cognitive load during simultaneous
interpreting and translation as well as during the processing of English as Lingua Franca.
The interpreter’s aging
Authors: Liu Minhua , Kurz Ingrid , Moser-Mercer Barbara , Shlesinger Miriam 
Published: August 2020

Abstract
This article reports part of the first phase of the AIIC Lifespan Study, for which ten conference interpreters
over 70 years old were interviewed to learn how interpreters’ professional language experiences interact with their cognitive
functions and, specifically, if they demonstrate different patterns of cognitive decline regarding language use. The interview
transcripts were coded to identify examples that matched the items in the research-informed interview guide or any emerging
patterns that informed the theme of cognitive changes. The interview­ees experienced some aging-induced cognitive challenges, such
as comprehension difficulties in less than optimal environments, concentration and memory issues, and slowness in lexical
retrieval. Some of these challenges had an impact on some interview­ees’ decision to quit interpreting.
The association between smoking and dizziness in U.S. adults
Authors: Formeister Eric J. , Sharon Jeffrey D. 
Published: August 2020

Objective
Smoking is a risk factor for several conditions associated with dizziness, such as cardiovascular disease and emphysema. However, little is known about the specific association between smoking and dizziness. The purpose of this study was to examine the relationship between smoking and dizziness in the U.S. adult population.

Methods
Responses from the 2008 National Health Interview Survey of U.S. adults (n = 21,781) were used to identify risk factors for dizziness and smoking.

Results
Of the 21,781 adults in the survey, 41.8% smoked more than 100 cigarettes in their lifetime. Of the 2,490 adults who had a self-diagnosed problem with dizziness, 54.1% had smoked more than 100 cigarettes in their lifetime. This corresponded to an odds ratio of 1.72 (95% CI, 1.56–1.89; p < .001) for experiencing dizziness with a history of smoking. In a multivariate analysis that included prior lung disease, cardiovascular disease, diabetes, hypertension, prior stroke, head trauma, age, sex, anxiety, depression, and history of migraines, smoking remained a significant risk factor for dizziness (OR 1.30; 95% CI, 1.17–1.46; p < .001).

Conclusion
In a representative nationwide survey of U.S. adults, smoking is independently associated with dizziness, even after controlling for demographic variables, known risk factors for dizziness, and smoking related diseases.
Value of saccadic latency as a diagnostic tool for multiple sclerosis
Authors: Hamdy M. , Sherif H. , Ibrahim I. 
Published: August 2020

Background
Multiple sclerosis (MS) is a chronic and progressive autoimmune disorder that affects the Central Nervous System (CNS). MS is a clinical diagnosis that is confirmed by MRI, visual evoked potentials, and CSF examination.
The objective of the current review and meta-analysis is to evaluate the value of saccadic eye movement abnormalities – particularly saccadic latency – as a diagnostic tool for Multiple Sclerosis.

Methods
We searched the literature in MEDLINE, PubMed, Web of Science and Cochrane Library from 1st January 1998, through 1st September 2018. Published studies of adult patients who are diagnosed with MS and had VOR testing including saccadic eye movement test, and reporting saccadic latency. We calculated pooled mean differences (MD) and 95% confidence intervals (CI) using a random-effects model for latencies in milliseconds (ms) between MS patients and normal controls. The considerable heterogeneity decided the effect model.

Results
Five studies met all inclusion criteria. MS patients had a significantly longer saccadic latency compared to the control group, with 135 MS cases and 126 controls, were included in this meta-analysis. The results indicated that there is a significant increase in saccadic latency in the MS group (MD = 31.99, 95% CI = 14.08, 49.90, p = .0005).

Conclusion
Based on current evidence from published studies, Saccadic latency can serve as a diagnostic tool to support the clinical diagnosis of MS.
Squeeze excitation densely connected residual convolutional networks for specific emitter identification based on measured signals
Authors: Wan Zining , Zeng Deguo , Wang Wenhai , Chen Xinwei , Zhang Zeyin , Xu Fuyuan , Mao Xuanyu , Liu Xinggao 
Published: August 2020

Abstract
Specific emitter identification (SEI) refers to the process of distinguishing emitter individuals, which is important for electric support measure systems. Traditional SEI methods are based on hand-crafted features and have the problem of low accuracy. A novel convolutional neural network (CNN) approach, named squeeze excitation densely connected residual convolutional network (SEDCRN) approach, is therefore proposed. SEDCRN can directly recognize signals without complex preprocessing. It obtains the beneficial advantage of rediscovering new, more useful new features from low-level information and reducing feature redundancy by embedding the squeeze excitation module and residual connections into the densely connected convolutional structure. BesideIn addition, SEDCRN adopts center loss as an auxiliary loss function, which can further enhance the ability of feature learning and expression, especially for SEI tasks. The proposed approach is evaluated using a real automatic, dependent surveillance-broadcast signal dataset. Experiments show that SEDCRN outperforms traditional methods and other CNN-based methods in terms of accuracy and parameter efficiency.
Photoresponse of CdSe-PVA nanocomposite films at low magnetic fields
Authors: Pokhriyal S , Biswas S 
Published: August 2020

Abstract
A set of nanocomposite films of poly-vinyl alcohol (PVA) and 0.1–0.4 wt% CdSe nanoparticles (NPs) were developed by spin coating and their surface resistance (R) was measured as a function of light illumination intensity (IL
) and applied magnetic field (H). The ferromagnetic CdSe NPs were synthesized by a facile chemical method which ensured in situ surface stabilization with a skinny layer of graphitic carbon. The CdSe NPs were uniformly dispersed in an aqueous solution of 2.0 wt% PVA and spin-coated on fluorine-doped tin oxide coated glass substrates. The photoresponse of the nanocomposite films at low H exhibits their efficacy for pertinent applications in optoelectronics.
Fractal structure of Yang-mills fields
Authors: Deppman Airton , Megías Eugenio , Menezes Débora P 
Published: August 2020

Abstract
The origin of non-extensive thermodynamics in physical systems has been under intense debate for the last decades. Recent results indicate a connection between non-extensive statistics and thermofractals. After reviewing this connection, we analyze how scaling properties of Yang-Mills theory allow the appearance of self-similar structures in gauge fields. The presence of such structures, which actually behave as fractals, allows for recurrent non-perturbative calculations of vertices. It is argued that when a statistical approach is used, the non-extensive statistics is obtained, and the Tsallis entropic index, q, is deduced in terms of the field theory parameters. The results are applied to QCD in the one-loop approximation, resulting in a good agreement with the value of q obtained experimentally.
Tetraquark candidates in LHCb's di-J/ψ mass spectrum *
Authors: Wang Zhi-Gang 
Published: August 2020

Abstract
In this article, we study the first radial excited states of the scalar, axialvector, vector, and tensor diquark-antidiquark-type

tetraquark states with the QCD sum rules and obtain the masses and pole residues; then, we use the Regge trajectories to obtain the masses of the second radial excited states. The predicted masses support assigning the broad structure from 6.2 to 6.8 GeV in the di-

mass spectrum to be the first radial excited state of the scalar, axialvector, vector, or tensor

tetraquark state, as well as assigning the narrow structure at about 6.9 GeV in the di-

mass spectrum to be the second radial excited state of the scalar or axialvector

tetraquark state.
Features Method for Selecting VMD Parameters based on Spectrum without Modal Overlap
Authors: Yun Xing , Jian Rong 
Published: August 2020

Abstract
Variation Mode Decomposition (VMD) can decompose a complex set of signals into the form of a sum of multiple amplitude modulated FM eigenmode functions (IMFs). Compared with EMD decomposition, the VMD method has a strict mathematical model foundation, which further avoids modal overlap and has higher computational efficiency. Therefore, VMD has been widely used in engineering. Different from the adaptive decomposition of the signal by EMD, the VMD method needs to preset mode parameter K and the second penalty factor α in the VMD decomposition before decomposing the signals. In the case of reasonable parameter setting, VMD method shows better robustness, otherwise it will greatly affect the accuracy of decomposition results. In this paper, the influence of the two parameters on the decomposition effect is discussed by combining the correlation coefficient, kurtosis index and spectrum graph. Based on the problem that these two important parameters are difficult to select, a constraint rule and screening strategy without modal overlap is proposed. According to the parameter selection strategy, mode parameter K and the second penalty factor α are automatically selected to ensure that modal overlap does not occur, Signal decomposition shall be as detailed and accurate as possible. By decomposing the bearing data, the rationality of the parameter selection strategy is proved. A new idea is put forward for the research of VMD.
Design of Saddle-Type Seam Welding Gun Posture Adaptive Actuating Mechanism
Authors: Yong Wang , An-gen Bian , Lei Wang 
Published: August 2020

Abstract
The two pipes are connected orthogonally to form a saddle-shaped intersecting line. The welding device uses a double-cam compound motion mechanism to achieve automatic welding of saddle-shaped curved seams. The small cam is used to control the up and down movement of the welding torch to track the seam trajectory, and the large cam is used to control the welding torch head and the welding point. A reasonable welding angle is maintained by the normal plane. For the cams of the key components of the above device, this article uses a three-dimensional CAD modeling design of the tube and tube orthogonal to obtain a saddle-shaped intersection line, obtain a certain number of discrete point coordinates on this space curve, and inversely obtain its contour by applying the principle of inversion.
Evaluation of crack growth stage of sapphire under scratching based on AE signals
Authors: Gu Xingshi , Zhao Qingliang , Guo Bing 
Published: August 2020

Abstract
For hard-brittle materials, crack initiation and growth is an important factor to determine the surface quality of components during machining process. In this paper, the crack growth stage of sapphire was investigated based on acoustic emission (AE) signals through single-grit scratch experiments. The AE waveform indexes, i.e. fractal and frequency characteristics, were fully analyzed and correlated with groove microstructure of specimen after tests. The research shows that the specimen undergo four stages of crack growth successively as scratch depth increasing. It is found that the fractal dimension (FD) and frequency characteristics of AE signals are distinctive to various damage behaviors and be used to evaluate crack growth stage induced in machining process effectively. Especially, the FD distribution is sensitive to the occurrences of the critical damages and removal modes resulting from crack growth in scratch procedure. This paper can shed light on the control of surface integrity and subsurface damage of hard-brittle materials in ultra-precision manufacturing.