Miracle-dz/UniFAR-FTUs huggingface dataset:
The Mediating Role of Physical Activity and Physical Function in the Association between Body Mass Index and Health-Related Quality of Life: A Population-Based Study with Older Adults

This study aimed (1) to investigate the association between body mass index (BMI), physical activity (PA), and physical function (PF) with health-related quality of life (HRQoL), and (2) to examine in-depth whether PA and PF mediate the relationship between BMI and HRQoL in older adults. We investigated 802 individuals (mean age 69.8 ± 5.6 years), residents of the Autonomous Region of Madeira, Portugal. Harmol and PA were assessed using the SF-36 and Baecke questionnaires, respectively, and PF by the Senior Fitness Test. The prevalence of overweight was 71.3%, 26.5% for normal weight, and 2.1% for underweight. We verified a small correlation between age and sex with BMI, PA, PF, and medium borderline with HRQoL. After adjusting for covariates (i.e., sex, age, comorbidities), the multivariate regression analysis indicated a 93.1% chance of improvement in HRQoL for low BMI, while PA and PF revealed a chance of increasing HRQoL by 91.8% and 60.0%, respectively. According to the serial mediation pathway, PA and PF partially mediated the association between BMI and HRQoL by 32.3% and 81.5%, respectively. The total variance of the model was 90%. It was concluded that BMI can negatively affect HRQoL. On the other hand, PA and PF are able to increase HRQoL levels during the aging process.
Chitosan-Based Edible Coatings Containing Essential Oils to Preserve the Shelf Life and Postharvest Quality Parameters of Organic Strawberries and Apples during Cold Storage

Edible coatings and films have been researched for more than three decades due to their ability to be incorporated with different functional ingredients or compounds as an option to maintain the postharvest quality of fruits and vegetables. The aim of this study was to evaluate the effect of three types of chitosan-based (CH) edible coatings obtained from medium and high molecular weight chitosan, containing ascorbic or acetic acid and sea buckthorn or grape seed essential oils on the physical–chemical and microbiological properties of organic strawberries and apple slices during cold storage at 4 °C and 8 °C. Scanning electron microscope images showed both a smooth structure and a fracture and pore structure on strawberry coatings and a dense and smooth structure on the apple slices coatings. Further, the edible coatings managed to reduce the microbial load of yeasts and molds of the coated strawberries during the storage period. Overall, the treatments preserved the ascorbic acid, total polyphenol content, and antioxidant activity for all the tested samples compared to the control sample, throughout the storage period. In addition, the water activity (aw) of the coated samples presented lower values (0.96–0.98) than the control samples. The obtained results indicate that the developed chitosan-based edible coatings could maintain the postharvest parameters of the tested samples, also leading to their shelf-life prolongation.
A detailed comparison of oxygen uptake kinetics at a range of exercise intensities

It is believed that exercise performed in the heavy intensity exercise (above Gas Exchange Threshold (GXT)) domain will reach a steady state (albeit delayed). However reported modelled time constants for the slow component indicate the VO² response would not be complete within the duration of the exercise performed. This raises important questions regarding the concept of heavy intensity exercise and the suitability of current exponential models to describe the slow component of VO². The purpose of this study was; to comprehensively describe the relationship between exercise intensity and the slow component of VO², and to investigate whether a steady-state in VO² was achieved during constant work-rates above the gas exchange threshold (GXT). Eight recreationally active male participants volunteered for this study (age: 24±8 y; Stature: 1.78±0.09 m; mass: 76.5±10.1 kg; VO²peak: 3.89±0.72 L.min-1). The participants were required to visit the laboratory on nine occasions for testing. The first visit involved determination of GXT and VO²peak with a progressive ramp exercise test. The following tests involved multiple laboratory visits, with the participants performing a square wave transition from rest to one of eight exercise intensities; -20%Δ (minus 20% of the difference in VO² between that at GXT and VO2peak), -10%Δ, GXT, 10%Δ, 20%Δ, 30%Δ, 40%Δ and 50%Δ. The VO² response was modelled using both mono and bi exponential non-linear regression techniques. Difference in the SEE for the mono and bi exponential models were analysed using a paired samples t-test, and the slope of VO² vs Time (for the final minute of exercise) was analysed using a one-sample t-test. A slow component of VO² was found for all exercise intensities. The SEE’s were significantly lower in the bi vs. mono exponential model across all exercise intensities (p<0.05). The slope was not different from 0 (p<0.05) for the final minute of any exercise intensity, indicating that a steady-state was achieved. The modelled slow component time constants are typical of literature reported values, but would indicate that VO² would not be achieved during the duration of the exercise. These findings demonstrate that VO² was in steady-state for all exercise intensities for the final minute of exercise. These findings also demonstrate that using a bi exponential model, a slow component can be modelled even below GXT and that the time constant of the slow component would be too long to result a steady-state.
Numerical Study of the Mechanical Behaviour of Wedge-Shaped Defect Filling Materials

This paper deals with direct restorations of teeth with non-carious cervical lesions (NCCL). NCCL defects are capable of gradual growth and are accompanied by the degradation of the surrounding tissue. Direct restorative treatment, in which the cavity is filled with a cementing agent, is considered to be an accessible and common treatment option. The study included simulations of the teeth without lesions, the teeth with V and U lesions and the tooth-restorative system. Parameterised numerical tooth models were constructed. Two cases with defect depths of 0.8 mm and ~1.7 mm and three variants with fillet radii of the defect end of 0.1, 0.2 and 0.3 mm were considered. The effect of two biomaterials for restorations was studied, namely Herculite XRV (Kerr Corp, Orange, CA, USA) and Charisma (Heraeus Kulzer GmbH, Hanau, Germany). The models were deformed with a vertical load of 100 to 1000 N from the antagonist tooth. The tooth-restorative system was considered, taking into consideration the contact interaction in the interface areas with the tooth tissues. Within the limits of the research, the character of the distribution of the deformation characteristics and their dependence on the level of loading, the depth of the defect and the radius of the curvature of the “wedge” were established.
Multi-clusters in adaptive networks

Dynamical systems on networks with adaptive couplings appear naturally in real-world systems such as power grid networks, social networks as well as neuronal networks. We investigate a paradigmatic system of adaptively coupled phase oscillators inspired by neuronal networks with synaptic plasticity. One important behaviour of such systems reveals splitting of the network into clusters of oscillators with the same frequencies, where different clusters correspond to different frequencies. Starting from one-cluster states we prove under which conditions multi-cluster states exist. We also provide an explicit form of multi-cluster solutions using asymptotic expansions. The phases of the oscillators within one cluster can be organized in different patterns: antipodal type, splay type, as well as more complicated phase patterns. Interestingly, multi-cluster states are shown to exist where different clusters exhibit different patterns. For instance, an antipodal cluster can coexist with a splay cluster. We also provide conditions where the corresponding one- and multi-cluster states are stable. These conditions, in particular, reveal a high level of multistability of such states.
Evaluation of sorption isotherms in snacks with pregelatinized cassava

Sorption characteristics are studied for their influence on the storage stability of dehydrated products and their effect on water vapour diffusion. In the present work, the adsorption curves of snacks with and without substitution of wheat flour by dehydrated cassava puree (PDM) were analysed using saturated salt solutions at 10, 30 and 50 ºC. Type III curves were obtained for the samples with PDM and type II for the control sample. Mathematical modelling was then performed using 8 different equations, obtaining the best fits for the Peleg (R2adjust =0.999-0.988), Ferro Fontan (R2adjust =0.998-0.970) and GAB (R2adjust =0.999-0.955) models. The values of the model constants in some cases turned out to be formulation and temperature dependent, and in general do not show a definite trend. This can be seen graphically as crossovers between the curves. This crossover of curves has been attributed to the increased exposure of hydrophilic groups due to increased molecular mobility at high humidity and occurrence of the glass transition in the system and/or endothermic dissolution of sugars.
Impact of caregiver burden on caregiver mental health in patients with esophageal cancer: chain mediating effects of benefit finding and rumination, a cross-sectional study

Background Cancer caregivers are the main supporter for the tumor patients, they not only need to provide daily nursing to the patients, but also suffering the pressure from economy, emotion and even family members. The mental health of tumor patient is mostly noticed, while not caregivers. The mental health of caregiver greatly affected the nursing quality and even the treatment outcomes. In the current study, the mechanisms underlying the links between caregiver burden, benefit finding, mental health, and rumination in those caring for people with esophageal cancer were examined. Methods The study was using a convenience sampling, 166 esophageal cancer patients in 2 general hospitals in Jiangsu Province, China, and caregivers of patients were included after excluded the non-conforming patients. Data were collected using investigator-developed questionnaires, the Benefit Finding Scale (BFS), the Event-Related Rumination Inventory (ERRI), the Zarit Burden Interview (ZBI), and the Hospital Anxiety and Depression Scale (HADS) during May 2020 to December 2020. The results were analyzed by SPSS, and the chain mediating effect was analyzed by the the SPSS PROCESS Macro Model. Results The study comprised 166 caregivers with an average age of (59.96±11.48) years, most of them were female (85.5%). The ZBI was positive correlated with HADS (r=0.882, P<0.01), and negative correlated with BFS (r=−0.873, P<0.01). Intrusive rumination and deliberate rumination in caregivers were negatively correlated (r=−0.901, P<0.01) and positive correlated (r=0.904, P<0.01) with BFS scores, respectively. Furthermore, research have discovered a chain mediation impact of benefit finding and rumination between caregiver burden and psychological well-being among carers of esophageal cancer patients. Conclusions The findings of this study imply that benefit finding and rumination are crucial components of the coping strategy used to buffer against negative emotion (such as anxiety and depression). Therefore, the mental health of caregivers should also be noticed, and health care professionals should provide targeted interventions to increase the caregiver’s level of benefit finding and promote deliberate ruminative thinking.
Improving Map Matching of Floating Car Data with Artificial Intelligence Techniques

Map matching is a crucial data processing task for transferring measurements from the dynamic sensor location to the relevant road segment. It is especially important when estimating road network speed by using probe vehicles (floating car data) as speed measurement sensors. Most common approaches rely on finding the closet road segment, but road network geometry (e.g., dense areas, two-way streets, and superposition of road segments due to different heights) and inaccuracy in the GNSS location (up to decades of meters in urban areas) can wrongly allocate up to 30% of the measurements. More advanced methods rely on taking the topology of the network into account, significantly improving the accuracy at a higher computational cost, especially when the accuracy of the GNSS location is low. In order to both improve the accuracy of the “closet road segment” methods and reduce the processing time of the topology-based methods, the data can be pre-processed using AI techniques to reduce noise created by the inaccuracy of the GNSS location and improve the overall accuracy of the map-matching task. This paper applies AI to correct GNSS locations and improve the map-matching results, achieving a matching accuracy of 76%. The proposed methodology is demonstrated to the floating car data generated by a fleet of 1200 taxi vehicles in Thessaloniki used to estimate road network speed in real time for information services and for supporting traffic management in the city.
Pion condensation in quark matter with finite baryon density

The phase structure of the Nambu–Jona-Lasinio model at zero temperature and in the presence of baryon and isospin chemical potentials is investigated. It is shown that in the chiral limit and for a wide range of model parameters, there exist two different phases with pion condensation. In the first, ordinary phase, the baryon density is zero and quarks are gapped particles. In the second, gapless pion condensation phase, there is no energy cost for creating only u or both u- and d-quarks, and the density of baryons is nonzero.
Deep-learning cell imaging through Anderson localizing optical fiber

Abstract. We demonstrate a deep-learning-based fiber imaging system that can transfer real-time artifact-free cell images through a meter-long Anderson localizing optical fiber. The cell samples are illuminated by an incoherent LED light source. A deep convolutional neural network is applied to the image reconstruction process. The network training uses data generated by a setup with straight fiber at room temperature (∼20 ° C) but can be utilized directly for high-fidelity reconstruction of cell images that are transported through fiber with a few degrees bend or fiber with segments heated up to 50°C. In addition, cell images located several millimeters away from the bare fiber end can be transported and recovered successfully without the assistance of distal optics. We provide evidence that the trained neural network is able to transfer its learning to recover images of cells featuring very different morphologies and classes that are never “seen” during the training process.
Non-Transfusion-Dependent Thalassemia: A Panoramic Review

Non-transfusion-dependent thalassemia (NTDT) has been considered less severe than its transfusion-dependent variants. The most common forms of NTDT include β-thalassemia intermedia, hemoglobin E/beta thalassemia, and hemoglobin H disease. Patients with NTDT develop several clinical complications, despite their regular transfusion independence. Ineffective erythropoiesis, iron overload, and hypercoagulability are pathophysiological factors that lead to morbidities in these patients. Therefore, an early and accurate diagnosis of NTDT is essential to ascertaining early interventions. Currently, several conventional management options are available, with guidelines suggested by the Thalassemia International Federation, and novel therapies are being developed in light of the advancement of the understanding of this disease. This review aimed to increase clinicians’ awareness of NTDT, from its basic medical definition and genetics to its pathophysiology. Specific complications to NTDT were reviewed, along with the risk factors for its development. The indications of different therapeutic options were outlined, and recent advancements were reviewed.
How Does van der Waals Confinement Enhance Phonon Transport?

We study the mechanism of van der Waals (vdW) interactions on phonon transport in atomic scale, which would boost developments in heat management and energy conversion. Commonly, the vdW interactions are regarded as a hindrance in phonon transport. Here we propose that the vdW confinement can enhance phonon transport. Through molecular dynamics simulations, it is realized that the vdW confinement is able to make more than two-fold enhancement on thermal conductivity of both polyethylene single chain and graphene nanoribbon. The quantitative analyses of morphology, local vdW potential energy and dynamical properties are carried out to reveal the underlying physical mechanism. It is found that the confined vdW potential barriers reduce the atomic thermal displacement magnitudes, leading to less phonon scattering and facilitating thermal transport. Our study offers a new strategy to modulate the phonon transport.
Microencapsulated Healthy Oil Mixtures to Enhance the Quality of Foal Pâtés

This study aimed to evaluate the use of microencapsulated oil mixtures as partial animal fat replacers and their effects on the physicochemical, nutritional and sensory qualities of foal pâtés. Three different batches were manufactured: a control (CON) formulation, with foal dorsal subcutaneous fat (30 g/100 g), and treatments 1 and 2 (T1 and T2), with 50% of the animal fat replaced by microcapsules containing algal oil mixed with walnut oil (T1) or pistachio oil (T2). The reformulated samples presented significant (p < 0.001) diminutions of fat contents, which achieved reductions of 34.22% (“reduced fat content”) and 28.17% in the T1 and T2 samples, respectively, and the lipid reformulation did not affect (p > 0.05) the texture or lipid oxidation of the samples. Furthermore, both microencapsulated oil mixtures significantly (p < 0.001) reduced (11–15%) saturated fatty acid (SFA) concentrations and increased (p < 0.001) mono- (T2) and polyunsaturated (T1) fatty acid contents (8% and 68%, respectively), contributing to the obtainment of nutritional indices in line with health recommendations. Additionally, consumer acceptability did not display significant (p > 0.05) differences among samples. Hence, the outcomes indicated that the incorporation of these microencapsulated oil mixtures as partial animal fat replacers, especially the T1 mixture, represents a promising strategy to obtain healthier foal pâtés, without compromising consumer approval.
The Influence of Plasma Treatment on the Corrosion and Biocompatibility of Magnesium

In our study, plasma surface modification was employed to tailor the surface properties of magnesium in terms of surface chemistry, topography, and wettability. For two sets of samples, the plasma treatment involved two steps using two different gases (hydrogen and oxygen), while one set of samples was treated with one step only using oxygen. X-ray photoelectron spectroscopy (XPS) was applied to determine the surface composition, oxidation state of the elements, and the thickness of the surface oxide layer on the Mg samples after different plasma treatments. The surface morphology was characterised using atomic force microscopy (AFM) and scanning electron microscopy (SEM). The wettability was analysed by measuring the static water-contact angles and the corrosion was evaluated using potentiodynamic measurements. The interaction of the live cells with the differently modified Mg surfaces was evaluated in terms of biocompatibility using MG-63 cells (human bone osteosarcoma cells). We have shown that a plasma surface treatment significantly decreased the carbon content and the formation of a 15–20-nm-thick MgO layer was observed. This improves the corrosion resistance, while the biocompatibility was retained, compared to the untreated Mg. A plasma surface treatment is therefore an important step in the development of novel surfaces with improved corrosion resistance for magnesium in biomedical applications.
Efficacy and Safety of Vasopressin and Terlipressin in Preterm Neonates: A Systematic Review

Introduction: The use of arginine vasopressin (AVP) and terlipressin to treat hypotension in preterm neonates is increasing. Our aim was to review the available evidence on the efficacy and safety of AVP and terlipressin for use in preterm neonates. Methods: MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials, Web of Science, and Google Scholar from inception to September 2021 were searched for studies of AVP and terlipressin in the treatment of hypotension of any cause in preterm neonates. Primary outcomes were improvement in end-organ perfusion and mortality. The risk of bias assessment and certainty of the evidence were performed using appropriate tools. Results: Fifteen studies describing the use of AVP (n = 12) or terlipressin (n = 3) among 148 preterm neonates were included. Certainly, the available evidence for the primary outcome of end-organ perfusion rated as very low. AVP or terlipressin were used to treat 144 and 4 neonates, respectively. Improvement in markers of end-organ perfusion was reported in 143 (99%) neonates treated with AVP and 3 (75%) treated with terlipressin. The mortality rate was 41% (n = 59) and 50% (n = 2) for neonates who received AVP and terlipressin, respectively. Hyponatremia was the most frequently reported adverse event (n = 37, 25%). Conclusion: AVP and terlipressin may improve measured blood pressure values and possibly end-organ perfusion among neonates with refractory hypotension. However, the efficacy–safety balance of these drugs should be assessed on an individual basis and as per the underlying cause. Studies on the optimal dosing, efficacy, and safety of AVP and terlipressin in preterm neonates with variable underlying conditions are critically needed.
Associations between Maternal Polychlorinated Dibenzo-p-dioxin and Dibenzofuran Serum Concentrations and Pulse Pressure in Early Pregnancy: A Cross-Sectional Study

Pulse pressure (PP) is the difference between systolic blood pressure (SBP) and diastolic blood pressure (DBP), and an independent predictor of cardiovascular risk. Previous research suggests, with different conclusions, that exposure to polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) could affect blood pressure (BP). We conducted a cross-sectional study to determine the association of dioxin exposure with PP in early pregnancy. A total of 305 pregnant women in early pregnancy in Yingcheng, China, recruited from May 2018 to February 2021, were included in this study. We measured 17 congeners of PCDD/Fs in maternal serum via high-resolution gas chromatography tandem high-resolution mass spectrometry. A generalized linear regression model was used to analyze the influencing factors of dioxin exposure and their relationships with PP. The levels of total PCDD/Fs (∑PCDD/Fs) ranged from 163.52 pg/g lipid to 1,513,949.52 pg/g lipid, with a mean of 10,474.22 pg/g lipid. The mean toxicity equivalent (TEQ) of total PCDD/Fs (∑TEQ-PCDD/Fs) was 42.03 pg/g lipid. The ratio of tetrachlorinated to octa-chlorinated congeners in maternal serum was enriched with an increasing number of chlorines. Pregnant women with college and above education had higher concentrations of ∑PCDD/Fs than those with education levels of junior high school and below (β = 0.34, 95% CI: 0.01, 0.67). The adjusted model for ∑TEQ-PCDD/Fs was significantly and negatively associated with PP (β = −1.79, 95% CI: −2.91, −0.68). High levels of dioxins were found in this area, and exposure to dioxins may affect the PP of women in early pregnancy, with health risks.