bluuebunny/crossref_metadata_2025_split huggingface dataset:
P10-03 Developing online health community platform for enhancing physical activity in the community
Authors: Park Myonghwa , Jung Jihye , Kim Jahyeon , Kim Jinju 
Published: August 2022

Abstract
Virtual communities are emerging in many aspects of health activities and widespread in health management. Online health communities offer a virtual system where people with common interest, specific health needs can exchange information and experiences with other people with the same condition as well as getting support from peer and professionals. The objective of this study is to develop an ICT platform enhancing community resident participation involving in the chronic disease prevention and physical activities. The aim of this platform is to promote physical activity of community residents for health promotion and disease prevention goal attainment. Health promotion goals for enhancing physical activity were set by health care professionals based on scientific evidence. Instead of individual plan to set the goal by themselves, the platform offered them tailored goal with their conditions and then suggested them to participate in group shared their physical activity goals. The platform encouraged the active participation of community residents though adherence physical activity of health communities in which they were members.The ICT platform provides a place where community residents with chronic conditions or even healthy people who want to promote their health be able to find an appropriate group for together prevent disease and enhancing physical activity. The platform in the study allowed community residents to develop their own communities and invite other members to participate with them. This online community intended to empower community residents to increase their involvement in their self-management and pushing the active participation in phycial activities. Function such as reminder of activity participating was added. Future study will be conducted to evaluate changes in health promotion self-efficacy, health goal fulfillment, health-related quality of life, and shared decision-making after using the Health Community Platform among community residents. Extensive research initiatives are needed to determine the impact of virtual health communities on patient outcome, the overall process as well as quality and access of care.
P10-10 Technology-supported exercise may increase self-reported health status in people with residual movement impairments after neurological event
Authors: Graf Eveline , De Bon Dino , Zutter Daniel , Wirz Markus 
Published: August 2022

Abstract

Background
After a neurological event (e.g. stroke) people are often restricted to a sedentary lifestyle due to chronic impairment. Their need for assistance to perform any form of physical activity (PA) is one factor that limits their PA and results in a negative impact on health. Rehabilitation technology, designed for gait rehabilitation during sub-acute rehabilitation, may be used to achieve the recommended levels of PA in people with gait impairments. However, it is unknown if there are effects on the quality of life resulting from such exercise regimen. Therefore, the aim of this study was to determine the effect of technology-supported exercise (TSE) on self-reported health status.

Methods
Twelve people with severe residual gait impairment after a neurological event participated in the study. They performed TSE (with Lokomat, Andago or C-Mill) for three months (M3) with a minimum of 10 trainings per month. At baseline and M3, the following questionnaires were answered: EQ-5D-3L, WHODAS 2.0, patient global impression of scale (PGIC, only at M3). Wilcoxon-signed-rank-test was used to test for statistically significant differences between start and M3 (p &gt; 0.05).

Results
The median EQ-5D Visual Analog Scale (VAS) score at baseline was 60, which is lower than the population mean. The VAS of the EQ-5D showed significant improvements (median: 7.5 points). The median of the PGIC was ‘minimally improved’ while all other outcomes (EQ-5D domains and WHODAS) remained constant.

Conclusion
Prior to TSE, the self-rated health status was low. There is evidence, that people with residual gait impairment may benefit from continuous TSE by improving health status, as has been represented by the improvement of the EQ-5D VAS score. Most chosen questionnaires may not be sensitive enough to detect subtle changes, indicating that for this population more sensitive instruments may be needed. However, future research investigating the sensitivity of the questionnaires is advisable. In addition, the training period of three months might be too short to be effective. This study is still ongoing with the training period extended to six months and additional participants included which will provide more data about the effect of TSE on self-reported health status.
Entre conseil et imposition ou comment le locuteur joue le jeu de son attitude: Étude du marqueur
je vais te dire une bonne chose
Authors: Álvarez-Castro Camino 
Published: August 2022

Abstract

French linguistics has recently paid close attention to discourse markers containing the verb
dire
, in line with the increased interest in discourse markers over the last few decades. At the heart of this debate are several intersecting and topical questions, among them: consideration of the speaker’s attitude within the semantic/pragmatic value of the marker, its dialogic function, and its level of fixedness. This study aims to examine the French discourse marker
je vais te dire une bonne chose
from this perspective, a phrase that purports to announce something that is not as good as it seems, in which the speaker plays a role halfway between advice-giving and imposition. The objective of this article is not only to uncover the discourse and interactional mechanisms governing the use of the phrase, but also to respond to criticism accusing some studies in semantics for their lack of operational criteria that could provide predictive and reproducible models. The analysis will be carried out through the identification of stable linguistic characteristics that can be identified by reproducible criteria. The study will be based on examples taken from Frantext and Sketch Engine, as well as personal readings and examples coined for the purposes of the discussion.
Nicotinamide Mononucleotide Alleviates Osteoblast Senescence Induction and Promotes Bone Healing in Osteoporotic Mice
Authors: Lu ZuFu , Jiang Liting , Lesani Pooria , Zhang WenJie , Li Ning , Luo Danyang , Li Yusi , Ye Yulin , Bian Ji , Wang Guocheng , Dunstan Colin R , Jiang XinQuan , Zreiqat Hala 
Published: August 2022

AbstractCombating the accumulated senescent cells and the healing of osteoporotic bone fractures in the older remains a significant challenge. Nicotinamide mononucleotide (NMN), a precursor of NAD+, is an excellent candidate for mitigating aging-related disorders. However, it is unknown if NMN can alleviate senescent cell induction and enhance osteoporotic bone fracture healing. Here we show that NMN treatment partially reverses the effects of tumor necrosis factor-alpha (TNF-α) on human primary osteoblasts (HOBs): senescent cell induction, diminished osteogenic differentiation ability, and intracellular NAD+ and NADH levels. Mechanistically, NMN restores the mitochondrial dysfunction in HOBs induced by TNF-α evidenced by increased mitochondrial membrane potential and reduced reactive oxidative species and mitochondrial mass. NMN also increases mitophagy activity by down-regulating P62 expression and up-regulating light chain 3B-II protein expression. In addition, the cell senescence protective effects of NMN on HOBs are mitigated by a mitophagy inhibitor (Bafilomycin A1). In vivo, NMN supplementation attenuates senescent cell induction in growth plates, partially prevents osteoporosis in an ovariectomized mouse model, and accelerates bone healing in osteoporotic mice. We conclude that NMN can be a novel and promising therapeutic candidate to enhance bone fracture healing capacity in the older.
Chronic Care for All? The Intersecting Roles of Race and Immigration in Shaping Multimorbidity, Primary Care Coordination, and Unmet Health Care Needs Among Older Canadians
Authors: Lin Shen (Lamson) , Fang Lin 
Published: August 2022

AbstractObjectivesDespite the predominance of chronic disease clustering, primary care delivery for multimorbid patients tends to be less effective and often uncoordinated. This study aims to quantify racial–nativity inequalities in multimorbidity prevalence ≥3 chronic conditions), access to primary care, and relations to past-year subjective unmet health care needs (SUN) among older Canadians.MethodsPopulation-based data were drawn from the Canadian Community Health Survey (2015–2018). Multivariable logistic regression was performed to estimate the likelihood of multimorbidity, sites of usual source of primary care (USOC), primary care coordination, and multidimensional aspects of SUN. The Classification and Regression Tree (CART) was applied to identify intersecting determinants of SUN.ResultsThe overall sample (n = 19,020) were predominantly (69.4%) Canadian-born (CB) Whites (1% CB non-Whites, 18.1% White immigrants, and 11.5% racialized immigrants). Compared with CB Whites, racialized immigrants were more likely to have multimorbidity (adjusted odds ratio [AOR] = 1.35, 99% confidence interval [CI]: 1.13–1.61), lack a USOC (AOR = 1.41, 99% CI: 1.07–1.84), and report higher SUN (AOR = 1.47, 99% CI: 1.02–2.11). Racialized immigrants’ greater SUN was driven by heightened affordability barriers (AOR = 4.31, 99% CI: 2.02–9.16), acceptability barriers (AOR = 3.11, 99% CI: 1.90–5.10), and unmet needs for chronic care (AOR = 2.71, 99% CI: 1.53–4.80) than CB Whites. The CART analysis found that the racial–nativity gap in SUN perception was still evident even among those who had access to nonpoorly coordinated care.DiscussionTo achieve an equitable chronic care system, efforts need to tackle affordability barriers, improve service acceptability, minimize service fragmentation, and reallocate treatment resources to underserved older racialized immigrants in Canada.
An Opioid Hiding in Plain Sight: Loperamide-Induced False-Positive Fentanyl and Buprenorphine Immunoassay Results
Authors: Geno K Aaron , Badea Adina , Lynch Kara L , Jannetto Paul , Hubbard Jacqueline A , Nerenz Robert D , Cervinski Mark A 
Published: August 2022

Abstract

Background
Loperamide (Imodium®), a commonly used anti-diarrheal, is a mu opioid receptor agonist that, like all opioids, reduces gastrointestinal tract peristalsis. Loperamide is considered to have low abuse potential as it does not produce an analgesic or euphoric effect due to low bioavailability and first-pass metabolism. However, reports of individuals misusing loperamide through the use of super-therapeutic doses, alone or in combination with P-glycoprotein and/or CYP450 enzyme inhibitors, is increasing. We hypothesized that loperamide could potentially cross-react with laboratory immunoassay drug screens.

Methods
Drug-free urine was spiked with loperamide or its principal metabolite, N-desmethyl loperamide (dLop), and assayed on multiple fentanyl and buprenorphine assays. Fentanyl immunoassay screen-positive results at one institution were examined by high-resolution mass spectrometry (MS) for the presence of loperamide and quantified by liquid chromatography– tandem MS when positive.

Results
Loperamide produced positive results on the Thermo DRI Fentanyl and Immunalysis Fentanyl assays at concentrations greater than 5.72 mg/L and 23.7 mg/L. dLop generated positive results for the Thermo DRI and Immunalysis fentanyl assays at concentrations exceeding 6.9 mg/L and 35.7 mg/L. dLop also produced positive buprenorphine results on the Thermo CEDIA buprenorphine assay at concentrations exceeding 12.2 mg/L. High-resolution MS analysis of 225 fentanyl immunoassay positives (Thermo DRI) yielded 5 specimens containing loperamide and/or dLop, 4 of which contained measurable quantities of fentanyl in addition to loperamide/dLop.

Conclusions
Laboratories using these assays should be aware of the potential for false-positive screening results due to the presence of high concentrations of loperamide and its metabolite dLop.
Performance of Hair  Testing for Cocaine Use—Comparison of Five Laboratories Using Blind Reference Specimens
Authors: Hart E Dale , Vikingsson Svante , Winecker Ruth E , Evans Amy L , Cone Edward J , Mitchell John M , Hayes Eugene D , Flegel Ronald R 
Published: August 2022

AbstractThe purpose of this study was to compare results from five commercial hair testing laboratories conducting workplace drug testing with regard to bias, precision, selectivity and decontamination efficiency. Nine blind hair specimens, including cocaine-positive drug user specimens (some contaminated with methamphetamine) and negative specimens contaminated with cocaine, were submitted in up to five replicates to five different laboratories. All laboratories correctly identified cocaine in all specimens from drug users. For an undamaged hair specimen from a cocaine user, within-laboratory Coefficients of Variation (CVs) of 5–22% (median 8%) were reported, showing that it is possible to produce a homogenous proficiency testing sample from drug user hair. Larger CVs were reported for specimens composed of blended hair (up to 29%) and curly/damaged hair (19–67%). Quantitative results appeared to be method-dependent, and the reported cocaine concentrations varied up to 5-fold between the laboratories, making interlaboratory comparisons difficult. All laboratories reported at least one positive result in specimens contaminated with cocaine powder, followed by sweat and shampoo treatments. Benzoylecgonine, norcocaine, cocaethylene and hydroxylated cocaine metabolites were all detected in cocaine powder-contaminated specimens. This indicates that current industry standards for analyzing and reporting positive cocaine results are not completely effective at identifying external contamination. Metabolite ratios between meta- or para-hydroxy-cocaine and cocaine were 6- and 10-fold lower in contaminated specimens compared to those observed in cocaine user specimens, supporting their potential use in distinguishing samples positive due to contamination and drug use.
Mode confusion of human–machine interfaces for automated vehicles
Authors: Eom Hwisoo , Lee Sang Hun 
Published: August 2022

Abstract
In this study, we designed two user interfaces for automated vehicles operated in the modes that correspond to the Society of Automotive Engineers automation levels 0–3. The first is a level-centred interface that allows the driver to increase or decrease the automation level step-by-step. The second is a function-centred interface that has independent driving controls in the longitudinal and lateral directions. We implemented prototypes for the two interfaces and conducted driver-in-the-loop experiments on a driving simulator to verify their effectiveness in the driver’s mode awareness. For events on the road, the participants took actions to control the vehicle, which might cause mode changes, and answered the modes he/she believed. The experimental results show that the mode confusion rate of the level-centred interface is twice higher than that of the function-centred interface. Also, visual feedbacks can reduce the mode confusion rate dramatically. The results show that a function-centred user interface combined with adequate visual and/or auditory feedback is essential to improve driver’s mode awareness when driving an automated vehicle.
Augmented deep learning workflow for robust fault prediction over multiple tectonic regimes
Authors: Chen Haidong , Tang Dazhen , Liu Ying , Gu Hongtao , Zhou Cunjian 
Published: August 2022

Abstract
Over the past decade, deep learning frameworks such as convolutional neural networks (CNNs) have made major research inroads in upstream oil and gas, with applications in seismic processing/imaging, velocity model building, petrophysics, geological seismic interpretation, all the way to development, production and supply chain logistics. CNN fault prediction centers around the idea of image edge detection and, for improved prediction results, three data-driven steps are recommended. First, pre-condition the seismic data to increase signal-to-noise ratio as much as possible: iterative dip-steered median filtering and principal component filtering are adopted to further improve signal-to-noise ratio and sharpness for edge detection. Second, a fault probability volume obtained through deep learning (DL) -based fault detection using a U-Net architecture, taking synthetic seismic models as samples that can improve DL-based fault prediction in lieu of readily available labeled fault sets that may be prohibitively time-consuming to generate. Finally, edge enhancement is performed on the inference results to improve precision and fault continuity. A comparative analysis between related edge enhancement technologies is also presented. Results for three different faulting modes (normal, reverse and strike-slip) over three real seismic field data sets from China demonstrate the robustness of the proposed workflow.
A critical investigation of diffuse double layer changes in clay-electrolyte systems at high temperatures
Authors: AL-Bazali Talal 
Published: August 2022

Abstract
The objective of this work was to explore the impact of temperature on shale swelling and explain it in terms of diffuse double layer mechanics: Debye–Hückel length alterations. This was made possible through the use of a newly developed thermal linear swelling test. Moreover, the combined impact of temperature, dielectric constant of water and ionic strength (ionic concentration) of salt solutions on Debye–Hückel length and resultant shale swelling and shrinkage were investigated. For dilute solutions, results showed that the product of temperature and dielectric constant of water (T*εr) remained near constant for a wide range of temperature (25–90°C). Results suggest that the dielectric constant of water may have been reduced by both temperature and ionic strength of solution, all of which caused a greater reduction in Debye–Hückel length and subsequent shale shrinkage. As for saturated NaCl and CaCl2 solutions, shale exhibited swelling behaviour at moderate temperatures followed by shale shrinkage thereafter. This could be attributed to the development of repulsive forces between alike ions within diffuse double layer. At higher temperatures, the contribution of dielectric constant of water on lowering Debye–Hückel length may have softened the repulsion action produced by ions.
Structure and Growth of Century-Old White Pine Plantations in Saginaw Forest, Southeastern Michigan, USA
Authors: Kashian Daniel M , Barnes Burton V 
Published: August 2022

Abstract

Saginaw Forest in Ann Arbor, Michigan, includes the second-oldest eastern white pine plantation in the United States, with pioneering thinning experiments among the oldest in the country. With no additional silvicultural treatments occurring since at least the 1950s, we report on the current condition of four planting lots near their century mark to provide silvicultural, cultural, and historical perspectives. Stand density and tree diameter in 2017 were similar across the four lots, all having a significant number of trees &gt; 50 cm diameter at breast height. Tree ring widths suggest that diameter growth was responsive to thinning treatments that occurred before 1955. Today, management geared towards site preservation as a cultural and historical landmark, with an emphasis on intensive invasive species and hardwood ingrowth control and native tree species regeneration, are likely more appropriate than a focus on silviculture.

Study Implications
Saginaw Forest in Ann Arbor, Michigan contains the second-oldest eastern white pine plantation in the United States. It underwent pioneering forest thinning experiments that pre-dated similar experiments in the oldest eastern white pine plantation at the Biltmore Estate in Asheville, North Carolina. Silvicultural treatments have not occurred since the 1950s, but the effects of historical thinning treatments are evident today across four planting lots. We summarize the current conditions of this important forestry site, noting a serious threat by invasive species and hardwood ingrowth that should be targeted as a means of preserving this important cultural and historical landmark.
Saving the Salmon: Examining the Cost-Effectiveness of Collaboration in Oregon
Authors: Mehdi Qasim , Nabatchi Tina 
Published: August 2022

Abstract
Environmental collaboration has become an increasingly common approach to the management of natural resources. Scholars and practitioners have tried to understand how collaborative structures impact performance using a multitude of single case studies and comparative studies. However, despite calls for the evaluation of collaborative performance, minimal quantitative research explores the connections between collaborative structures and performance using a large sample for analysis. We address this gap by carrying out fixed effects analysis that examines the impact of several structural variations, including collaboration form, number and representational diversity of participants, and contributions of in-kind resources, on the cost-effectiveness of collaborative watershed projects in Oregon. The data for this project come from the Oregon Watershed Restoration Inventory (OWRI). Our results indicate that collaboration form, participant numbers, and resource contributions affect cost-effectiveness, but representational diversity among participants does not. The findings from this article can help sponsoring and implementing agencies execute collaborative projects more cost-effectively. They also indicate the need for additional research exploring the relationship between collaborative structures, outputs, and outcomes.
X-ray morphology of cluster-mass haloes in self-interacting dark matter
Authors: Shen Xuejian , Brinckmann Thejs , Rapetti David , Vogelsberger Mark , Mantz Adam , Zavala Jesús , Allen Steven W 
Published: August 2022

ABSTRACT
We perform cosmological zoom-in simulations of 19 relaxed cluster-mass haloes with the inclusion of adiabatic gas in the cold dark matter (CDM) and self-interacting dark matter (SIDM) models. These clusters are selected as dynamically relaxed clusters from a parent simulation with $M_{\rm 200} \simeq (1\!-\!3)\times 10^{15}{\, \rm M_\odot }$. Both the dark matter and the intracluster gas distributions in SIDM appear more spherical than their CDM counterparts. Mock X-ray images are generated based on the simulations and are compared to the real X-ray images of 84 relaxed clusters selected from the Chandra and ROSAT archives. We perform ellipse fitting for the isophotes of mock and real X-ray images and obtain the ellipticities at cluster-centric radii of $r\simeq 0.1\!-\!0.2R_{\rm 200}$. The X-ray isophotes in SIDM models with increasing cross-sections are rounder than their CDM counterparts, which manifests as a systematic shift in the distribution function of ellipticities. Unexpectedly, the X-ray morphology of the observed non-cool-core clusters agrees better with SIDM models with cross-section $(\sigma /m)= 0.5\!-\!1\, {\rm cm}^2\, {\rm g}^{-1}$ than CDM and SIDM with $(\sigma /m)=0.1\, {\rm cm}^2\, {\rm g}^{-1}$. Our statistical analysis indicates that the latter two models are disfavoured at the $68{{\ \rm per\ cent}}$ confidence level (as conservative estimates). This conclusion is not altered by shifting the radial range of measurements or applying a temperature selection criterion. However, the primary uncertainty originates from the lack of baryonic physics in the adiabatic model, such as cooling, star formation and feedback effects, which still have the potential to reconcile CDM simulations with observations.