Notes

Metabolomic profiling regarding exhaled air condensate and plasma/serum in long-term obstructive pulmonary condition.
Living tissue is able to withstand large stresses in everyday life, yet it also actively adapts to dynamic loads. This remarkable mechanical behaviour emerges from the interplay between living cells and their non-living extracellular environment. Here we review recent insights into the biophysical mechanisms involved in the reciprocal interplay between cells and the extracellular matrix and how this interplay determines tissue mechanics, with a focus on connective tissues. We first describe the roles of the main macromolecular components of the extracellular matrix in regards to tissue mechanics. We then proceed to highlight the main routes via which cells sense and respond to their biochemical and mechanical extracellular environment. Next we introduce the three main routes via which cells can modify their extracellular environment exertion of contractile forces, secretion and deposition of matrix components, and matrix degradation. Finally we discuss how recent insights in the mechanobiology of cell-matrix interactions are furthering our understanding of the pathophysiology of connective tissue diseases and cancer, and facilitating the design of novel strategies for tissue engineering.Objective.Neuroadaptive paradigms that systematically assess event-related potential (ERP) features across many different experimental parameters have the potential to improve the generalizability of ERP findings and may help to accelerate ERP-based biomarker discovery by identifying the exact experimental conditions for which ERPs differ most for a certain clinical population. Obtaining robust and reliable ERPs online is a prerequisite for ERP-based neuroadaptive research. One of the key steps involved is to correctly isolate electroencephalography artifacts in real time because they contribute a large amount of variance that, if not removed, will greatly distort the ERP obtained. Another key factor of concern is the computational cost of the online artifact handling method. This work aims to develop and validate a cost-efficient system to support ERP-based neuroadaptive research.Approach.We developed a simple online artifact handling method, single trial PCA-based artifact removal (SPA), based on variance distribution dichotomies to distinguish between artifacts and neural activity. We then applied this method in an ERP-based neuroadaptive paradigm in which Bayesian optimization was used to search individually optimal inter-stimulus-interval (ISI) that generates ERP with the highest signal-to-noise ratio.Main results.SPA was compared to other offline and online algorithms. The results showed that SPA exhibited good performance in both computational efficiency and preservation of ERP pattern. Based on SPA, the Bayesian optimization procedure was able to quickly find individually optimal ISI.Significance.The current work presents a simple yet highly cost-efficient method that has been validated in its ability to extract ERP, preserve ERP effects, and better support ERP-based neuroadaptive paradigm.Objective.Neuro-steered assistive technologies have been suggested to offer a major advancement in future devices like neuro-steered hearing aids. Auditory attention decoding (AAD) methods would in that case allow for identification of an attended speaker within complex auditory environments, exclusively from neural data. Decoding the attended speaker using neural information has so far only been done in controlled laboratory settings. Yet, it is known that ever-present factors like distraction and movement are reflected in the neural signal parameters related to attention.Approach.Thus, in the current study we applied a two-competing speaker paradigm to investigate performance of a commonly applied electroencephalography-based AAD model outside of the laboratory during leisure walking and distraction. Unique environmental sounds were added to the auditory scene and served as distractor events.Main results. The current study shows, for the first time, that the attended speaker can be accurately decoded during natural movement. At a temporal resolution of as short as 5 s and without artifact attenuation, decoding was found to be significantly above chance level. Further, as hypothesized, we found a decrease in attention to the to-be-attended and the to-be-ignored speech stream after the occurrence of a salient event. Additionally, we demonstrate that it is possible to predict neural correlates of distraction with a computational model of auditory saliency based on acoustic features.Significance.Taken together, our study shows that auditory attention tracking outside of the laboratory in ecologically valid conditions is feasible and a step towards the development of future neural-steered hearing aids.The two-dimensional hexagonal boron nitride (h-BN) has been used as resistive switching (RS) material for memory due to its insulation, good thermal conductivity and excellent thermal/chemical stability. A typical h-BN based RS memory employs a metal-insulator-metal vertical structure, in which metal ions pass through the h-BN layers to realize the transition from high resistance state to low resistance state. Alternatively, just like the horizontal structure widely used in the traditional MOS capacitor based memory, the performance of in-plane h-BN memory should also be evaluated to determine its potential applications. As consequence, a horizontal structured resistive memory has been designed in this work by forming freestanding h-BN across Ag nanogap, where the two-dimensional h-BN favored in-plane transport of metal ions to emphasize the RS behavior. As a result, the memory devices showed switching slope down to 0.25 mV dec-1, ON/OFF ratio up to 108, SET current down to pA and SET voltage down to 180 mV.Vanadium selenide (V2Se9) is a true one-dimensional (1D) crystal composed of atomic nanochains bonded by van der Waals (vdW) interactions. Recent experiments revealed the mechanical exfoliation of newly synthesized V2Se9. In this study, we predicted the electronic and transport properties of V2Se9through computational analyses. We calculated the intrinsic carrier mobility of V2Se9monolayers (MLs) and nanoribbons (NRs) using density functional theory and deformation potential theory. We found that the electron mobility of the two-dimensional (2D) (010)-plane ML of V2Se9is highly anisotropic, reachingμ2D,ze=1327cm2V-1s-1across the chain direction. The electron mobility of 1D NR systems in a (010)-plane ML of V2Se9along the chain direction continuously increased as the thickness increased from 1-chain to 4-chain NR (width below 3 nm). Interestingly, the electron mobility of 1D 4-chain NR along the chain direction (μ1D,xe=775cm2V-1s-1) was higher than that of a 2D (010)-plane ML (μ2D,xe=567cm2V-1s-1). These results demonstrate the potential of vdW-1D crystal V2Se9as a new nanomaterial for ultranarrow (sub-3 nm width) optoelectronic devices with high electron mobility.Noble metal aerogels (NMAs) have been used in a variety of (photo-)electrocatalytic reactions, but pure Au aerogel (AG) has not been used in CO2electroreduction to date. To explore the potential application in this direction, AG was prepared to be used as the cathode in CO2electroreduction to CO. However, the gelation time of NMAs is usually very long, up to several weeks. Here, an excess NaBH4and turbulence mixing-promoted gelation approach was developed by introducing magnetic stirring as an external force field, which therefore greatly shortened the formation time of Au gels to several seconds. The AG-3 (AG with Au loading of 0.003 g) exhibited a high CO Faradaic efficiency (FE) of 95.6% at an extremely low overpotential of 0.39 V, and over 91% of CO FE was reached in a wide window of -0.4 to -0.7 V versus the reversible hydrogen electrode (RHE). Epigenetic activity Partial current density in CO was measured to be -19.35 mA cm-2at -0.8 V versus RHE under 1 atm of CO2. The excellent performance should be ascribed to its porous structure, abundant active sites, and large electrochemical active surface area. It provides a new method for preparation of AG with ultrafast gelation time and large production at room temperature, and the resulting pure AG was for the first time used in the field of CO2electroreduction.
There is a scarcity of studies on the relationship between visual impairment (VI) and time spent in sedentary behavior (SB), especially from low- and middle-income countries (LMICs). Thus, we investigated the association of objectively and subjectively measured VI with SB in adults aged ≥18years across 6 LMICs.

Cross-sectional data from the WHO Study on global AGEing and adult health (SAGE) were analyzed. Objective and subjective visual acuity were measured. Information on self-reported SB was also collected. Multivariable multinomial logistic regression analysis was conducted to assess associations with time spent in SB as the outcome.

The sample consisted of 42,489 individuals (mean age = 43.8 [14.4]y; 50.1% females). Only severe objective VI (vs no VI) was significantly associated with ≥11hours per day of SB (vs <4h/d) (odds ratio = 4.50; 95% confidence interval, 1.57-12.92). Increasing severity of subjective VI was associated with greater odds for ≥8hours per day of SB (vs <4h/d) dose dependently.

The present study identified an association of both objectively and subjectively measured VI with time spent in SB in adults residing in LMICs, with subjectively measured VI being a stronger predictor of time spent in SB. Targeted interventions to decrease SB especially in those who perceive themselves to have VI are needed in LMICs.
The present study identified an association of both objectively and subjectively measured VI with time spent in SB in adults residing in LMICs, with subjectively measured VI being a stronger predictor of time spent in SB. Targeted interventions to decrease SB especially in those who perceive themselves to have VI are needed in LMICs.
To investigate the effects of an eccentric hamstring strength training program (EHT) on sprint performance (10-, 20-, and 30-m sprint times) and change of direction speed (4 × 5-m shuttle run and T-Half test) in male European handball athletes at 2 maturity statuses (prepeak and postpeak height velocity [PHV]).

Forty-five participants (12.68 [1.58]y) were divided into pre-PHV and post-PHV and randomly allocated to a control or intervention group, which performed a guided 2day per week 6-week EHT of 5 exercises. A mixed-model (within- and between-factor) analysis of variance was conducted.

A significant effect (P < .05) of the interaction time × maturity × training was observed in the T-Half, 10, and 30m tests. Both intervention groups significantly improved in all the tests, except in the 20m sprint and the post-PHV in the 10m sprint. Improvements ranged between 0.93% and 5.74% (effect size 0.07-0.79). Both control groups yielded no improvements in almost all the tests. The improvements of both groups undergoing the intervention (pre-PHV and post-PHV) were not significantly different (only a tendency in the 10m sprint).

An EHT program combined with European-handball training improve change of direction and sprint performance in pre-PHV and post-PHV male players. Professionals training European handball and similar team-sport athletes should consider including EHT regardless of athlete's maturity.
An EHT program combined with European-handball training improve change of direction and sprint performance in pre-PHV and post-PHV male players. Professionals training European handball and similar team-sport athletes should consider including EHT regardless of athlete's maturity.
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