bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of ion structure and solvent electric dipole on ultrananoporous supercapacitor: a lattice model study
Authors: Zhou S , Zhou R 
Published: July 2022

Abstract
A five-state modified BEG model is proposed for describing electrolyte in polar solvent in cylindrical electrode pore in which only one row of particles can be stationed. Two properties the closest to the actual situation of the aqueous electrolyte are integrated into the model: cation is dimer comprised of two tangentially tethered hard spheres of different diameters: one is charged, while the other is neutral, and polar solvent is modeled as neutral hard sphere with an electric dipole. The system partition function is obtained by numerically solving maximum real root of characteristic equation of

25
×
25

Kramers-Wannier transfer matrix. The model is used to investigate effects of ion structure and electric valence, solvent electric dipole, and cylindrical pore radius on specific differential capacitance

C

d

and specific energy storage

E

of the resulting supercapacitor. Main findings are briefly described below. (i) The dimer counter-ion electric valence does not exert obvious influence on the saturation value

E

s
a
t

of the

E
,

but reduces the threshold electrode potential strength

U

s
a
t

,

beyond which the

E

s
a
t

value is just reached. (ii) Whether the dimer counter-ion is monovalent or bivalent, the

C

d

peak height and the

E

s
a
t

value tend to rise with the dimer neutral site size

d

+
0

decreasing, but influence of the

d

+
0

value on the

U

s
a
t

value is very small. Only when the

d

+
0

value is small enough, the

U

s
a
t

value rises a little with decrease of the

d

+
0

value. (iii) Increase of solvent electric dipole moment (whether by increasing the dipole charge or dipole length) always raises the

E

s
a
t

value, and enlarges width of the pure solvent domain or zero

C

d

and zero

E

domain around the zero electrode potential, but does not change the

U

s
a
t

value obviously. (iv) With the pore size increasing, the

E

s
a
t

value reduces and the

U

s
a
t

value increases. So, using small size pore is favorable to improve the supercapacitor performance from the perspective of energy storage and electrode potential applied. (v) The three parameters:

d

+
0

,

dipole charge, and dipole length, are cooperative in influencing the

E

s
a
t

value.
Decision thresholding on fMRI activation maps using the Hilbert–Huang transform
Authors: Kuo Po-Chih , Liou Michelle 
Published: July 2022

Abstract

Objective. Functional magnetic resonance imaging (fMRI) requires thresholds by which to identify brain regions with significant activation, particularly for experiments involving real-life paradigms. One conventional non-parametric approach to generating surrogate data involves decomposition of the original fMRI time series using the Fourier transform, after which the phase is randomized without altering the magnitude of individual frequency components. However, it has been reported that spontaneous brain signals could be non-stationary, which, if true, could lead to false-positive results. Approach. This paper introduces a randomization procedure based on the Hilbert–Huang transform by which to account for non-stationarity in fMRI time series derived from two fMRI datasets (stationary or non-stationary). The significance of individual voxels was determined by comparing the distribution of empirical data versus a surrogate distribution. Main results. In a comparison with conventional phase-randomization and wavelet-based permutation methods, the proposed method proved highly effective in generating activation maps indicating essential brain regions, while filtering out noise in the white matter. Significance. This work demonstrated the importance of considering the non-stationary nature of fMRI time series when selecting resampling methods by which to probe brain activity or identify functional networks in real-life fMRI experiments. We propose a statistical testing method to deal with the non-stationarity of continuous brain signals.
Artificial Intelligence for imaging Cherenkov detectors at the EIC
Authors: Fanelli C. , Mahmood A. 
Published: July 2022

Abstract
Imaging Cherenkov detectors form the backbone of particle identification (PID) at the future Electron Ion Collider (EIC). Currently all the designs for the first EIC detector proposal use a dual Ring Imaging CHerenkov (dRICH) detector in the hadron endcap, a Detector for Internally Reflected Cherenkov (DIRC) light in the barrel, and a modular RICH (mRICH) in the electron endcap. These detectors involve optical processes with many photons that need to be tracked through complex surfaces at the simulation level, while for reconstruction they rely on pattern recognition of ring images. This proceeding summarizes ongoing efforts and possible applications of AI for imaging Cherenkov detectors at EIC. In particular we will provide the example of the dRICH for the AI-assisted design and of the DIRC for simulation and particle identification from complex patterns and discuss possible advantages of using AI.
Some error analysis for the quantum phase estimation algorithms
Authors: Li Xiantao 
Published: July 2022

Abstract
This paper is concerned with the phase estimation algorithm in quantum computing, especially the scenarios where (1) the input vector is not an eigenvector; (2) the unitary operator is approximated by Trotter or Taylor expansion methods; (3) random approximations are used for the unitary operator. We characterize the probability of computing the phase values in terms of the consistency error, including the residual error, Trotter splitting error, or statistical mean-square error. In the first two cases, we show that in order to obtain the phase value with error less or equal to 2−n
and probability at least 1 − ϵ, the required number of qubits is

t
⩾
n
+
log

2
+

δ

2

2
ϵ
Δ

E

2

. The parameter δ quantifies the error associated with the inexact eigenvector and/or the unitary operator, and ΔE characterizes the spectral gap, i.e., the separation from the rest of the phase values. This analysis generalizes the standard result (Cleve et al 1998 Phys. Rev X 11 011020; Nielsen and Chuang 2002 Quantum Computation and Quantum Information) by including these effects. More importantly, it shows that when δ < ΔE, the complexity remains the same. For the third case, we found a similar estimate, but the number of random steps has to be sufficiently large.
Combining surface textures and MXene coatings—towards enhanced wear-resistance and durability
Authors: Rosenkranz Andreas , Marian Max 
Published: July 2022

Abstract
Surface texturing has gained significant attention over the last 30 years to tailor friction and wear under various tribological conditions in fundamental and applied tribological systems. Under dry conditions, surface textures help to improve friction or wear by reducing adhesion and the real area of contact as well as trapping wear particles. However, especially under high load conditions, surface textures rapidly wear away, thus losing their friction- and wear-reducing capability. A potential strategy to improve their durability under more severe conditions is the combination with protective solid lubricant coatings. In this regard, MXene nano-sheets are the most recent success story related to 2D materials as solid lubricant coatings. They appear particularly interesting due to their ability to generate low-friction and wear-resistant tribo-films thus providing an excellent durability and wear resistance. This aspect makes the combination of MXene solid lubricant coatings and surface textures highly prospective. Therefore, this perspective aims at summarizing and analyzing the existing state-of-the art related to the combined use of surface textures and MXene coatings.
Combustion process for magnetic copper–cobalt ferrite and its Congo red adsorption property
Authors: Liu Shuxin , Ouyang Hezhong , Wang Zhou 
Published: July 2022

Abstract
A rapid combustion process was introduced for the preparation of magnetic copper–cobalt ferrite, which was characterized using X-ray diffraction (XRD), vibrating sample magnetometer (VSM), scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), and Brunauer–Emmett–Teller techniques (BET). The prepared magnetic copper–cobalt ferrite showed a large specific surface area (104.6 cm2 g−1) and nanoscale particle size (55.4 nm), with a saturation magnetization of 19.6 Am2 kg−1. The nanoparticles were used to adsorb and remove Congo red (CR) from dyestuff wastewater, and the adsorption mechanism was revealed. Compared with the pseudo-first-order kinetic model and intraparticle diffusion kinetic model, the pseudo-second-order kinetic model was better at describing the CR adsorption process on the Cu0.5Co0.5Fe2O4 nanoparticles, while the Temkin isotherm best fitted the CR adherence on the Cu0.5Co0.5Fe2O4 nanoparticles. All data suggested that the adsorption of CR on the Cu0.5Co0.5Fe2O4 nanoparticles followed the mono-multilayer hybrid chemisorption mechanism. In addition, as the pH increased from 2 to 10, the adsorption capacity of the Cu0.5Co0.5Fe2O4 nanoparticles for CR decreased, indicating that an acidic environment was beneficial for the adsorption of CR on the Cu0.5Co0.5Fe2O4 nanoparticles. When recycling the Cu0.5Co0.5Fe2O4 nanoparticles after adsorbing CR, the relative adsorption rate was still 62.5% of the initial adsorption capacity after five cycles, revealing the reusability and promising applicability of Cu0.5Co0.5Fe2O4 nanoparticles in sewage treatment.
Safety of arterial shear wave elastography–ex–vivo assessment of induced strain and strain rates
Authors: Nordenfur Tim , Caidahl Kenneth , Grishenkov Dmitry , Maksuti Elira , Marlevi David , Urban Matthew W , Larsson Matilda 
Published: July 2022

Abstract
Shear wave elastography (SWE) is a promising technique for characterizing carotid plaques and assessing local arterial stiffness. The mechanical stress to which the tissue is subjected during SWE using acoustic radiation force (ARF), leading to strain at a certain strain rate, is still relatively unknown. Because SWE is increasingly used for arterial applications where the mechanical stress could potentially lead to significant consequences, it is important to understand the risks of SWE-induced strain and strain rate. The aim of this study was to investigate the safety of SWE in terms of induced arterial strain and strain rate ex-vivo and in a human carotid artery in-vivo. SWE was performed on six porcine aortae as a model of the human carotid artery using different combinations of ARF push parameters (push voltage: 60/90 V, aperture width: f/1.0/1.5, push length: 100/150/200 μs) and distance to push position. The largest induced strain and strain rate were 1.46% and 54 s−1 (90 V, f/1.0, 200 μs), respectively. Moreover, the SWE-induced strains and strain rates increased with increasing push voltage, aperture, push length, and decreasing distance between the region of interest and the push. In the human carotid artery, the SWE-induced maximum strain was 0.06% and the maximum strain rate was 1.58 s−1, compared with the maximum absolute strain and strain rate of 12.61% and 5.12 s−1, respectively, induced by blood pressure variations in the cardiac cycle. Our results indicate that ex-vivo arterial SWE does not expose the artery to higher strain rate than normal blood pressure variations, and to strain one order of magnitude higher than normal blood pressure variations, at the push settings and distances from the region of interest used in this study.
Community-based exercise enhanced by a self-management programme to promote independent living in older adults: a pragmatic randomised controlled trial
Authors: Olsen Pia Øllgaard , Tully Mark A , Del Pozo Cruz Borja , Wegner Manfred , Caserotti Paolo 
Published: July 2022

Abstract

Background
older adults face several modifiable barriers for engaging in physical activity (PA) programmes such as incontinence, loneliness and fear of falling. Enhancing PA programmes with behavioural components to support self-management of such barriers may increase the effectiveness to preserve functional capacity and independent living.

Objective
this study aimed at assessing the effects of a complex active lifestyle intervention (CALSTI) on objective and self-report measures of functional capacity and disability in community-dwelling older adults.

Subjects and Methods
about 215 older adults (79.9 ± 0.4 years) at increased risk of functional decline were randomly allocated to (i) CALSTI consisting of 12-weeks progressive explosive resistance training (24 sessions) enhanced by a 24-week multi-factorial self-management programme (8 sessions), or (ii) an extended version of the self-management intervention (SEMAI; 12 sessions) to reflect a reinforcement of usual care. The interventions were embedded in a nationally regulated preventive care pathway. Blinded assessors collected primary (the Short Physical Performance Battery; SPPB) and secondary outcome data (self-reported difficulty in activities of daily living, the short version of the Late-Life Function and Disability Index, and the EQ-health VAS scale) at baseline and after 12 and 24 weeks.

Results
after 24 weeks, CALSTI led to a clinically superior increase in SPPB compared with SEMAI (+0.77 points, P &lt; 0.01), and the CALSTI group also demonstrated improvements in selected self-reported outcomes.

Conclusions
a novel complex exercise and multi-factorial self-management intervention embedded in preventive care practice had large and clinically meaningful effects on a key measure of functional capacity and predictor of disability.
Provision of a comprehensive medicines review is associated with lower mortality risk for residents of aged care facilities: a retrospective cohort study
Authors: Sluggett Janet K , Caughey Gillian E , Air Tracy , Moldovan Max , Lang Catherine , Martin Grant , Carter Stephen R , Jackson Shane , Stafford Andrew C , Wesselingh Steve L , Inacio Maria C 
Published: July 2022

Abstract

Background
no studies have examined the impact of residential medication management review (RMMR, a 24-year government subsidised comprehensive medicines review program) in Australian residential aged care facilities (RACFs) on hospitalisation or mortality.

Objective
to examine associations between RMMR provision in the 6–12 months after RACF entry and the 12-month risk of hospitalisation and mortality among older Australians in RACFs.

Design
retrospective cohort study.

Subjects
individuals aged 65–105 years taking at least one medicine, who entered an RACF in three Australian states between 1 January 2012 and 31 December 2015 and spent at least 6 months in the RACF (n = 57,719).

Methods
Cox regression models estimated adjusted hazard ratios (aHRs) with 95% confidence intervals (CIs) for associations between RMMR provision and mortality. Adjusted subdistribution hazard ratios were estimated for associations between RMMR provision and next (i) emergency department (ED) presentation or unplanned hospitalisation or (ii) fall-related ED presentation or hospitalisation.

Results
there were 12,603 (21.8%) individuals who received an RMMR within 6–12 months of RACF entry, of whom 22.2% (95%CI 21.4–22.9) died during follow-up, compared with 23.3% (95%CI 22.9–23.7) of unexposed individuals. RMMR provision was associated with a lower risk of death due to any cause over 12-months (aHR 0.96, 95%CI 0.91–0.99), but was not associated with ED presentations or hospitalisations for unplanned events or falls.

Conclusions
provision of an RMMR in the 6–12 months after RACF entry is associated with a 4.4% lower mortality risk over 12-months but was not associated with changes in hospitalisations for unplanned events or falls.
Barriers and facilitators to mobility of patients hospitalised on an acute medical ward: a systematic review
Authors: Mani Hugo , Möri Charlotte , Mattmann Martina , Liechti Fabian , Inauen Jennifer , Aujesky Drahomir , Donzé Jacques , Aubert Carole E 
Published: July 2022

Abstract

Background
low patient mobility is common during hospitalisation and is associated with adverse outcomes. To change practice, interventions should address barriers and facilitators to mobility. Our aim was to systematically review the literature to provide a synthesised overview of patient-, health care professional (HCP)- and environment-/system-related barriers and facilitators to mobility of patients hospitalised on an acute care medical ward.

Methods
we searched Medline, Embase, PsycInfo, Web of Science Core Collection, Cochrane CENTRAL, CINHAHL and Google Scholar (inception to 18 October 2021) to identify studies reporting barriers and/or facilitators to mobility of adults hospitalised on an acute medical ward. We applied a deductive and inductive thematic analysis to classify barriers and facilitators into themes and subthemes relevant for clinical practice.

Results
among 26 studies (16 qualitative, 7 quantitative and 3 mixed methods), barriers and facilitators were categorised into 10 themes: patient situation, knowledge, beliefs, experiences, intentions, emotions, social influences, role/identity, implementation/organisation and environment/resources. Barriers included patient characteristics (e.g. impaired cognitive/physical status) and symptoms, HCPs prioritising other tasks over mobility, HCPs labelling patients as ‘too sick’, fear of injury, lack of time, lack of clarity about responsibility, patient medical devices and non-encouraging environment. Facilitators included knowledge of mobility importance, HCP skills, interdisciplinarity, documentation and unit expectations, encouraging staff, goal individualisation, activity programme, family/visitor/volunteer support and availability of equipment.

Conclusion
this synthesised overview of patient-, HCP- and environment-/system-related barriers and facilitators to mobility of adults hospitalised on an acute medical ward can help researchers and clinicians focus on what can realistically be influenced to improve mobility.

Systematic review registration
PROSPERO, CRD42021285954.
FL-DTD: an integrated pipeline to predict the drug interacting targets by feedback loop-based network analysis
Authors: Lu Dong , Pan Rongrong , Wu Wenxuan , Zhang Yanyan , Li Shensuo , Xu Hong , Huang Jialan , Xia Jianhua , Wang Qun , Luan Xin , Lv Chao , Zhang Weidong , Meng Guofeng 
Published: July 2022

AbstractDrug target discovery is an essential step to reveal the mechanism of action (MoA) underlying drug therapeutic effects and/or side effects. Most of the approaches are usually labor-intensive while unable to identify the tissue-specific interacting targets, especially the targets with weaker drug binding affinity. In this work, we proposed an integrated pipeline, FL-DTD, to predict the drug interacting targets of novel compounds in a tissue-specific manner. This method was built based on a hypothesis that cells under a status of homeostasis would take responses to drug perturbation by activating feedback loops. Therefore, the drug interacting targets can be predicted by analyzing the network responses after drug perturbation. We evaluated this method using the expression data of estrogen stimulation, gene manipulation and drug perturbation and validated its good performance to identify the annotated drug targets. Using STAT3 as a target protein, we applied this method to drug perturbation data of 500 natural compounds and predicted five compounds with STAT3 interacting activities. Experimental assay validated the STAT3-interacting activities of four compounds. Overall, our evaluation suggests that FL-DTD predicts the drug interacting targets with good accuracy and can be used for drug target discovery.
Word-Level Instruction for Deaf and Hard-of-Hearing Students: An Observation Study
Authors: Kang Ki Young , Lederberg Amy R , Scott Jessica A 
Published: July 2022

Abstract
Despite the fact that children’s word reading and spelling skills are crucial for developing text-level comprehension and composition, little is known about what teachers do in classrooms to promote deaf and hard-of-hearing (DHH) students’ learning of word reading and spelling. This observational study examined strategies teachers of DHH students used when teaching word reading and spelling to DHH students who used spoken English. One day of language arts instruction in 23 kindergartens through second-grade classrooms was observed. Teachers’ word-level instruction was coded. Results indicated that teachers spent substantially more time on word-level instruction during decoding and encoding contexts than they did during text reading and writing contexts. In addition, differences were found in teachers’ use of strategies depending on the instructional contexts. Teachers utilized phonological strategies considerably more frequently than any other strategy in their word-level instruction.
Association of acute increases in serum creatinine with subsequent outcomes in patients with type 2 diabetes mellitus treated with sodium–glucose cotransporter 2 inhibitor or dipeptidyl peptidase-4 inhibitor
Authors: Chan Yi-Hsin , Chao Tze-Fan , Chen Shao-Wei , Kao Yi-Wei , Huang Chien-Ying , Chu Pao-Hsien 
Published: July 2022

Abstract

Aims
The frequency of an acute increase in serum creatinine (sCr) of &gt;30%, following treatment of sodium–glucose cotransporter-2 inhibitors (SGLT2is) and its clinical implications in patients with type 2 diabetes remains unclear.

Methods and results
We used medical data from a multicentre health care provider in Taiwan and recruited 11 657 and 8117 diabetic patients with baseline/follow-up sCr data available within 12 weeks of SGLT2i and dipeptidyl peptidase-4 inhibitor (DPP4i) treatment from 1 June 2016 to 31 December 2018. Participants receiving SGLT2i or DPP4i were categorized by initial sCr change into three groups: &gt;30% sCr increase, 0–30% increase, or no-sCr increase. Participants receiving SGLT2i were associated with a higher proportion of sCr increase of 0–30% (52.7 vs. 42.6%) but a lower proportion of sCr increase of &gt;30% (5.9 vs. 9.6%) when compared with DPP4i. In contrast to DPP4i, the mean estimated glomerular filtration rate over time became stable after 24 weeks in three categories of sCr increase following SGLT2i initiation. Compared with no sCr increase, an initial sCr increase of &gt;30% was associated with a higher risk of major adverse cardiovascular events {adjusted hazard ratio (aHR): 2.91, [95% confidence interval (95% CI):1.37–6.17]}, heart failure hospitalization (HHF) [aHR:1.91, (95% CI:1.08–3.40)], and composite renal outcome [aHR:1.53, (95% CI:1.05–2.25)] in the SGLT2i group; an initial sCr increase of &gt;30% associated with a higher risk of HHF and composite renal outcome in the DPP4i group after multivariate adjustment. Overall, participants receiving SGLT2i were associated with a lower risk of HHF [aHR:0.64, (95% CI:0.48–0.85)] and composite renal outcomes [aHR:0.40, (95% CI:0.34–0.48)] compared with DPP4i after multivariate adjustment, and the treatment benefit was persistent across three categories of sCr increase (P interaction &gt; 0.05).

Conclusion
A modest increase in serum creatinine (&lt;30%) was common following SGLT2i initiation, and was not associated with worse clinical outcomes, therefore should not stop therapy prematurely, but a larger increase in creatinine following drug therapy was not typical and should raise concern and review of the patient.
Dynamics of Trade Credit in China
Authors: Cun Wukuang , Quadrini Vincenzo , Sun Qi , Xia Junjie 
Published: July 2022

Abstract
We use Chinese manufacturing data to show that upstream manufacturing industries received higher credit during the monetary expansion of 2005–11. However, the higher credit received by upstream industries did not generate a similar increase in ‘trade lending’ to downstream industries, which limited the transmission of the credit expansion to the whole manufacturing sector. We develop a model that formalises some of the key features of the Chinese economy, and show why a credit expansion tilted toward the upstream sector may not fully cascade to the whole economy.