bluuebunny/crossref_metadata_2025_split huggingface dataset:
Behavioural Change Techniques in Health Coaching-Based Interventions for Type 2 Diabetes Patients: A Systematic Review
Authors: Almulhim Abdullah , Hartley Hannah , Norman Paul , Caton Samantha , Goyder Elizabeth 
Published: August 2022

Abstract
Background: Given the high rates globally of Type 2 Diabetes Mellitus (T2DM), there is a clear need to target health behaviours through person-centred interventions. Health coaching is one strategy that has been widely recognised as a tool to foster positive behaviour change. However, it has been used inconsistently and has produced mixed results. This systematic review sought to explore the use of behaviour change techniques (BCTs) in health coaching interventions and identify which BCTs are linked with increased effectiveness in relation to HbA1C reductions.Methods: Studies were systematically identified through database searches for relevant randomised controlled trials (RCTs) in papers published between January 1950 and April 2020. Included papers were screened on the reported use of BCTs based on the BCT taxonomy. The effectiveness of included interventions was assessed by using Cohen’s d.Results: Twenty-one RCTs were identified. Thirteen interventions were shown to have medium to large effects on HbA1c reduction (d=0.50 to d=1.30). Twenty-three BCTs were identified, with a mean of 5.3 (SD = 3.6) BCTs used in each study. Of these, Goal setting (behaviour) and Problem solving were the most frequently identified BCTs. The intervention with the largest effect size (d=1.30) used five different BCTs: Goal setting (behaviour), Problem Solving, Goal setting (outcome), Self-monitoring of outcome of behaviour, and framing/reframing. However, there was little evidence to link the use of specific BCTs to reductions in HbA1c across the studies included in the reviewConclusion: A relatively small number of BCTs have been used in RCTs of health coaching interventions for T2DM. Moreover, other possible BCTs directly related to the theoretical underpinnings of health coaching were absent. It is recommended that key BCTs are identified at an early stage of intervention development, although further research is needed to examine the most effective BCTs to use in health coaching interventions.
Learning observer-based fault-tolerant tracking control for hypersonic vehicle with actuator faults
Authors: Cao Teng , Gong Huajun , Xue Yixuan , Yu Wencheng 
Published: August 2022

Abstract
This paper studies a novel learning observer-based fault-tolerant tracking control strategy for a hypersonic vehicle attitude system with external disturbance, parameter uncertainty and actuator faults. Without obtaining the prior knowledge of lumped disturbance, a novel learning observer combined with the barrier function is first proposed to estimate the attitude angular velocities and reconstruct lumped disturbance accurately and quickly. By introducing the estimation value into the controller design process, a backstepping fault-tolerant tracking controller is developed to solve the attitude tracking problem of hypersonic vehicle. The stability of the hypersonic vehicle faulty attitude system using the observer-based fault-tolerant control method is analyzed by Lyapunov framework. Finally, the feasibility and superiority of the fault-tolerant control scheme is proved by comparing with different existing observer and control strategy through numerical simulations.
Seroprevalence of hepatitis E virus (HEV) antibodies in human populations of Sokodé, Togo
Authors: Setondji Komi Victor-Mari , Traoré Kuan Abdoulaye , Ouoba Jean-Bienvenue , Taale Essodolom , Ouoba Bruno Lalidia , Nyakou Bissah Kokou , Roques Pierre , Karou Simplice Damintoti. , Barro Nicolas 
Published: August 2022

Abstract
Background: Hepatitis E virus (HEV) antibodies prevalence is reported globally worldwide. However, there is still some countries where data are not well reported or even studied as in Togo. The aim of this study was to evaluate the seroprevalence of HEV among human populations and analyze demographic variables related to the infection in the city of Sokodé, in central area of Togo. Results: A total of 289 individuals including 195 blood donors (24 women and 171 men), and 94 pregnant women were recruited from May to October 2020 and socio-economic status were assessed. All obtained sera were tested for the presence of anti-HEV antibodies with the immunochromatography test (MP Diagnostics ASSURE IgM Rapid test) and the MP Diagnostics HEV-IgM and HEV-IgG ELISA. The association between anti-HEV status and potential risk factors was assessed. Total HEV antibodies were in 5.6% (95% CI: 3.8 - 7.3%) of all samples. HEV IgM antibodies were detected in 11.7% (95% CI: 9.8-13.5%) of the samples, of which 29 (14.8%) were from the blood donors group and 5 (5.3%) from pregnant women group. Gender, water storage container, type of latrine used and washing hands after toilet were associated to anti-HEV IgM seropositivity in population. (p ≤ 0.05).Conclusion: These findings from asymptomatic population suggest a probable HEV circulation at significant levels. These data are the first step to understand the epidemiology of the HEV infection in Togo that deserved to be extended both in timing and Togo’s region.
Naturally-occurring carboxylic acids from traditional antidiabetic plants as potential pancreatic islet FABP3 inhibitors. A molecular docking–aided study
Authors: Hyder Ayman 
Published: August 2022

AbstractThe antidiabetic action of traditional plants is mostly attributed to their antioxidant and anti-inflammatory properties. These plants are still having some secrets, making them an attractive source that allows for investigating new drugs or uncovering precise pharmacologic antidiabetic functions of their constituents. In diabetes, which is a lipid disease, long-term exposure of pancreatic islet beta cells to fatty acids (FAs) increases basal insulin release, reduces glucose-stimulated insulin secretion, causes islet beta cell inflammation, failure and apoptosis. Pancreatic islet beta cells express fatty acid binding protein 3 (FABP3) that receives long-chain FAs and traffics them throughout different cellular compartments to be metabolized and render their effects. Inhibition of this FABP3 may retard FA metabolism and protect islet beta cells. Since FAs interact with FABPs by their carboxylic group, some traditionally-known antidiabetic plants were reviewed in the present study, searching for their components that have common features of FABP ligands, namely carboxylic group and hydrophobic tail. Many of these carboxylic acids were computationally introduced into the ligand-binding pocket of FABP3 and some of them exhibited FABP3 ligand possibilities. Among others, the naturally occurring ferulic, cleomaldeic, caffeic, sinapic, hydroxycinnamic, 4-p-coumaroylquinic, quinoline-2-carboxylic, chlorogenic, 6-hydroxykynurenic, and rosmarinic acids in many plants are promising candidates for being FABP3-specific inhibitors. The study shed light on repurposing these phyto-carboxylic acids to function as FABP inhibitors. However, more in-depth biological and pharmacological studies to broaden the understanding of this function are needed.
Pair interaction between catalytically active colloids
Authors: Sharan Priyanka , Daddi-Moussa-Ider Abdallah , Agudo-Canalejo Jaime , Golestanian Ramin , Simmchen Juliane 
Published: August 2022

Abstract
Due to the intrinsically complex non-equilbrium behavior of the constituents of active matter systems, a comprehensive understanding of their collective properties is a challenge that requires systematic bottom-up characterization of the individual components and their interactions. For self-propelled particles, an intrinsic complexity stems from the fact that the polar nature of the colloids necessitates that the interactions depend on positions and orientations of the particles, leading to a $2 d-1$ dimensional configuration space for each particle, in $d$ dimensions. Moverover, the interactions between such non-equilibrium colloids are generically non-reciprocal, which makes the characterization even more complex. Therefore, derivation of generic rules that enable us to predict the outcomes of individual encounters as well as the ensuing collective behavior will provide an important progress. While significant advances have been made on the theorical front, such systematic experimental characterizations using simple artificial systems with measurable parameters are scarce. Here, we study two different, contrasting types of colloidal microswimmers, which move in opposite directions and show distinctly different interactions. To facilitate the extraction of parameters, we introduce an experimental platform in which we confine them on a 1D track. Furthermore, we develop a theoretical model for interparticle interactions near a substrate, including both phoretic and hydrodynamic effects, which reproduces their behavior. For subsequent validation, we increase the degrees of freedom to two-dimensional motion and predict the resulting trajectories, finding remarkable agreement.
Our results may prove useful in characterizing the overall alignment behavior of interacting self-propelling active swimmer and may find application in guiding the design of active-matter systems involving phoretic and hydrodynamic interactions.
Reversible Flowering of CuO Nanoclusters via Conversion Reactions for Dual-Ion Li Metal Batteries
Authors: Li Siying , Lee Jung-Hun , Hwang Soo Min , Kim Young-Jun 
Published: August 2022

Abstract
Dual-ion Li metal batteries based on non-flammable SO2-in-salt inorganic electrolytes ( Li–SO2 batteries) offer high safety and energy density. The use of cupric oxide (CuO) as a self-activating cathode material achieves a high specific capacity with cost-effective manufacturing in Li–SO2 batteries, but its cycle retention performance deteriorates owing to the significant morphological changes of the cathode active materials. Herein, we report the catalytic effect of carbonaceous materials used in cathode material of Li–SO2 batteries, which act as templates to help recrystallize the active materials in the activation and conversion reactions. We found that the combination of oxidative-cyclized polyacrylonitrile (PAN) with N-doped carbonaceous materials and multi-yolk-shell CuO (MYS-CuO) nanoclusters as cathode active materials can significantly increase the specific capacity to 315.9 mAh g− 1 (93.8% of the theoretical value) at 0.2 C, which corresponds to an energy density of 1295 Wh kgCuO−1, with a capacity retention of 84.46% at the 200th cycle, and the cathode exhibited an atypical blossom-like morphological change.
Barriers and opportunities to improve Smoke-free Area implementation in Aceh province, Indonesia
Authors: Sufri Sofyan , Maulana Teuku , Elvin Said Devi , Nurhasanah Nurhasanah , Ahsan Abdillah , Jannah Misbahul , Mardhiah Ainal , Rutherford Shannon , Bakri Saiful 
Published: August 2022

Abstract
Background: Aceh province has the greatest risk of death due to smoking-related heart diseases. To reduce this tobacco epidemic in Aceh, the local government has established Smoke-free Areas (SFA/Kawasan Tanpa Rokok/KTR) local regulations (Qanuns). However, the implementation of the established Qanuns remains suboptimal with many violations throughout the province. Methods: This study investigated the challenges and opportunities for improving implementation of KTRs in Banda Aceh municipality using in-depth interviews and document reviews.Results: Various barriers to effective implementation of KTRs were identified: lack of commitment of Banda Aceh authorities in implementing KTR policies; lack of understanding of the KTRs among involved actors; inadequate socialization of KTRs to communities; and misunderstanding of “enclosed areas” as KTRs. However, some important opportunities were identified: the Ministry of Education regulation that promotes KTRs at schools; and smoking prohibition as part of Sharia laws and other religious recommendations. Conclusion: This study has identified barriers and enablers for effective KTR implementation in Banda Aceh. Some key major recommendations are provided to enhance the implementation of KTR policies in Banda Aceh municipality.
Oxygenation index in the first 21 days of life is a predictor for bronchopulmonary dysplasia grade in very preterm infants
Authors: Chou Fu-Sheng , Leigh Rebekah M. , Rao Srinandini , Narang Arvind , Yeh Hung-Wen 
Published: August 2022

Abstract
Background
BPD grades are associated with long-term respiratory and neurodevelopmental outcomes. Identification of additional early-life predictors is in need to improve the performance of their early prediction. The objective of the study was to assess the association of the oxygenation index (OI) trajectory in the first three weeks of life with BPD grades.
Methods
A single-center retrospective study was performed. Generalized additive mixed modeling was used to model OI trajectories for each BPD grade subgroup. A multinomial regression model was then developed to quantify the relationship between OI dynamics and the odds of BPD grades.
Results
254 infants were identified for inclusion in the trajectory modeling, including 242 infants with sufficient OI data for multinomial regression analysis. A total of 6,243 OI data points were available for modeling. Average OI change was − 0.33 ± 0.52 (n = 85) in the No-BPD group, -0.04 ± 0.75 (n = 82) in the Low-Grade BPD group, and 0.22 ± 0.65 (n = 75) in the High-Grade BPD group. OI modeling showed distinct trajectory patterns for the No-BPD, Low-Grade, and High-Grade BPD subgroups. A multinomial regression analysis showed that the initial OI value and the average OI daily change in the first 3 weeks of life both independently correlated with BPD grade outcomes after adjusting for birth gestation, birth weight z-score, and sex.
Conclusion
Early-life OI trajectory is a useful marker for BPD grade prediction. Prospective studies are needed to further validate the findings. Alternatives to OI, such as respiratory severity score or oxygen saturation index, also merit further studies to improve clinical usability.
Copula based multivariate analysis of hydro-meteorological drought
Authors: Shaw Balaram , N.R. Chithra 
Published: August 2022

Abstract
Droughts have a wide range of adverse impacts on the environment, society, and economy ranging from regional to national levels. Multivariate analysis of drought characteristics (i.e., drought duration, severity, peak, etc.) is necessary to get a picture of the actual drought situation in a region as these characteristics are interrelated. However, such studies are limited. Therefore, the current study developed a framework to investigate the meteorological and hydrological droughts based on a multivariate analysis of drought characteristics in the Pennar river basin of India which is located in a semi-arid region where agricultural activity is dominant. Long-term observations of precipitation, temperature, and streamflow for the period of 1980-2015 were used to calculate Standardized Precipitation Evapotranspiration Index (SPEI) and Streamflow Drought Index (SDI), at a 3-month timescale. Based on these indices, three drought characteristics (i.e., drought duration, severity, and peak) were abstracted using the Run Theory. The best-fit marginal distribution was determined for each of the drought variables and those best-fit marginal distributions were used to get the bivariate joint probability distribution, i.e., the copula function. The Copula function was used to figure out the joint probability distribution of multiple variables. Based on the best-fit copula function, joint multivariate distributions have been established and the joint probabilities and the joint return period have been estimated. Results revealed that, out of the nine copula functions, for the overall region of the river basin, for meteorological drought, Frank Copula is found to be the best-fit copula function for the joint risk of drought duration and severity, whereas Survival Clayton copula is found to be the best-fit copula for the combination of both drought duration and peak as well as drought severity and peak. The probability of occurrence of a drought event with specified characteristics of duration, severity, and peak was obtained for the study area based on Copula-based joint probability analysis. The joint return period of a drought event with characteristics greater than the 25th percentile of the same for the study area is varying from 1 to 2 years whereas it varies from 1 year to 45 years for the 50th percentile. This analysis will provide important information required for water management and planning in a region to mitigate droughts.
Temporal trends of Acute Hepatitis A in Brazil and its regions
Authors: Grandi Giuliano , Lopez Luis Fernandez , Burattini Marcelo Nascimento Burattini Nascimento 
Published: August 2022

Abstract
Background: Hepatitis A are responsible for 126,000,000 cases of acute viral hepatitis distributed heterogeneously worldwide, high disability-adjusted life year (DALY) rates, especially in low-income countries. Data related to Hepatitis A provides information to improve control-measures and identify population at risk. This study aims to analyze temporal trends of Hepatitis A in Brazil and its regions from 2007 to 2018, based on official notification data. Methods: Data related to Hepatitis A reported cases from 2017 to 2018 were fitted to a join point model by Brazilian regions, Age Groups and Gender, allowing the calculation of Average Annual Percentage Change (AAPC) and Annual Percentage Change (APC) to estimate trends of Hepatitis A in Brazil. Findings: From 2007 to 2018, 65,284 Hepatitis A cases notified in Brazil were available for analysis. The Northeast region reported 18,732 (28.69%) cases, followed by North 18,430 (28.23%), Southeast 14,073 (21.55%), South 7,909 (12.11%) and Central-West 6,140 (9.4%), respectively. Temporal trend analysis showed that Hepatitis A incidence decreased from 2007 to 2016 in all Brazilian regions for individuals with less than 20 years and increased in South and Southeast in males between 10 and 39 years after 2016. Conclusions: Hepatitis A endemicity is heterogeneous among Brazilian regions. In addition, an unexpected outbreak of HAV among Southeast and South adult males in 2016 resembles the outbreak in Europe, revealing a vulnerable population that should be prioritized by vaccination programs and control measures.
A Study on the Synergetic Effects of Self /Induced Crystallization and Nanoparticles on the Mechanical Properties of Semi-Crystalline Polymer Nanocomposites: Experimental and Analytical Approaches
Authors: Hojatzadeh Saeideh , Rahimpour Farshad , Sharifzadeh Esmail 
Published: August 2022

Abstract
This study investigates the effects of nanoparticle content, aggregation/agglomeration, polymer/particle interphase, and crystallinity on the mechanical properties of high-density polyethylene (HDPE) nanocomposites. Different samples of HDPE nanocomposites, containing 0.5, 0.75, and 2 wt.% of pure and surface-modified silica nanoparticles, were prepared by the melt-mixing method. The pure silica nanoparticles (PSN) and surface-modified silica (AMS) with (3-Aminopropyl) tri-ethoxy silane were characterized with field emission scanning electron microscopy (FE-SEM) and Fourier transform infrared (FTIR) spectra. Differential scanning calorimeter (DSC) and X-ray diffraction (XRD) were used to estimate the crystallinity and crystal size of the samples. Finally, tensile testing was performed on the nanocomposites to establish the relationship between mechanical properties and nanoparticle loading, and surface modification. The results indicate that the crystallinity and elastic modulus of the nanocomposites increased with increasing nanoparticle content. Moreover, the Gutzow-Dobreva theory was used to determine the induced crystallinity. A mechanical model (Equivalent Box Model) was proposed to determine the crystalline, amorphous modulus, thickness and tensile modulus of the polymer/particle interphase region, which shows a decreasing trend with the nanoparticles content and indicates that this region is thicker for the HDPE/AMS relative to HDPE/PSN.
The magnetic resonance imaging characteristics of radicular cysts and granulomas
Authors: Watanabe Hiroshi , Wamasing Natnihca , Yomtako Supasith , Sakamoto Junichiro , Kayamori Kou , Kurabayashi Tohru 
Published: August 2022

Abstract
Limited studies have differentiated radicular cysts and granulomas with magnetic resonance imaging. Therefore, we investigated the magnetic resonance imaging characteristics of the two lesions and clarified features for distinguishing between them. We collected data of 27 radicular cysts and 9 granulomas definitively diagnosed by histopathology and reviewed the fat-saturated T2-weighted, T1-weighted, and contrast-enhanced fat-saturated T1-weighted images. We measured the maximum diameter and apparent diffusion coefficient values of the lesions. We employed Fisher’s exact test, Mann–Whitney U test, and independent t-tests to compare the two lesions and created a decision tree for discriminating them. There were significant differences between radicular cysts and granulomas with respect to five imaging characteristics—signal intensity of the lesion centre on fat-saturated T2-weighted images; signal intensity, texture, and contrast enhancement of the lesion centre on contrast-enhanced fat-saturated T1-weighted images; and maximum diameter of the lesion. The cut-off diameter for radicular cysts was 15.9 mm. The area under the receiver operating characteristic curve, sensitivity, and specificity were 0.971, 85.2%, and 100%, respectively. From the decision tree analysis, maximum diameter, lesion centre contrast enhancement on contrast-enhanced fat-saturated T1-weighted images, and lesion centre signal intensity on fat-saturated T2-weighted images were important for discriminating between the two lesions.
Effect of instantaneous and spectral diffusions on the pulsed EPR SECSY signal of an electron-nuclear spin-coupled system in a gamma-irradiated malonic acid single crystal
Authors: Misra Sushil K. , Salahi Hamid Reza 
Published: August 2022

Abstract
The many-body effects of instantaneous and spectral diffusions due to electronic dipolar interactions of an observer electron spin of an electron-nuclear spin-coupled system of a molecule in a gamma-irradiated malonic acid single crystal, characterized by the electronic spin ½ and the nuclear spin ½, with the electrons of the other molecules in the crystal in the vicinity on the SECSY signal are investigated rigorously by numerical computation. The spectral diffusion is taken into account by considering the relevant relaxation matrix elements in the Liouville von Neumann equation, specifically, that caused by a random spin flip of the interacting electronic dipole moment in the crystal vicinity, using the analytical expression, derived by Salikhov et. al. [J. Magn. Reson (1969), 42(2), pp.255–276. (1981)]. On the other hand, the instantaneous diffusion of the observer electron due to the dipolar interaction with the electrons in the crystal vicinity, which are at, or close to, resonance of the observer electron, is taken into account by considering their random spin flips by a probability determined by the Monte-Carlo technique. It is found that the instantaneous diffusion together with the spectral diffusion, brings a better agreement of the calculated signal with the experiment.