Search Results (26)

Background/Objectives: Head and neck lymphedema (HNL) is a common complication after head and neck cancer (HNC) treatment. Reliable and feasible assessment methods are essential for monitoring and management. This study aimed to evaluate the reliability and clinical feasibility of three methods for assessing external HNL in HNC patients: local tissue water (%) using the MoistureMeterD Compact (MMDC), neck circumference using a tape measure, and dermal thickness using B-mode ultrasound. Methods: Thirty-three HNC patients with potential HNL were included. Measurements were performed on the same day, twice by the same rater and once by a different rater. Intraclass correlation coefficients (ICC^2,1), (relative) standard error of measurement ((%)SEM), smallest real difference (SRD), systematic differences across measurement occasions, and Bland–Altman plots with 95% limits of agreement were analyzed. Time efficiency and clinical limitations were assessed. As an exploratory analysis, Spearman correlations among methods were examined. Results: All methods demonstrated moderate to very strong reliability (ICCs^2,1 0.781–0.994), except dermal thickness (ICCs^2,1 0.136–0.354). Differences between raters and within one rater were not clinically meaningful. Neck circumference showed the highest reliability (ICCs^2,1 0.958–0.994) and was the fastest to perform with the fewest limitations. The methods showed weak correlations with each other. Conclusions: Neck circumference was the most reliable and time-efficient method assessing HNL in clinical practice but is limited to the neck region. For the head, local tissue water assessment seems the most reliable and feasible. The methods assess different aspects of HNL. Further research should confirm how these methods can complement each another. Full article

Aging and poor sleep quality are associated with altered brain dynamics, yet current electroencephalography (EEG) analyses often overlook regional complexity. This study addresses this gap by introducing a novel integration of intra- and inter-regional complexity analysis using multivariate multiscale dispersion entropy (mvMDE) from awake resting-state EEG for the first time. Moreover, assessing both intra- and inter-regional complexity provides a comprehensive perspective on the dynamic interplay between localized neural activity and its coordination across brain regions, which is essential for understanding the neural substrates of aging and sleep quality. Data from 58 participants—24 young adults (mean age = 24.7 ± 3.4) and 34 older adults (mean age = 72.9 ± 4.2)—were analyzed, with each age group further divided based on Pittsburgh Sleep Quality Index (PSQI) scores. To capture inter-regional complexity, mvMDE was applied to the most informative group of sensors, with one sensor selected from each brain region using four methods: highest average correlation, highest entropy, highest mutual information, and highest principal component loading. This targeted approach reduced computational cost and enhanced the effect sizes (ESs), particularly at large scale factors (e.g., 25) linked to delta-band activity, with the PCA-based method achieving the highest ESs (1.043 for sleep quality in older adults). Overall, we expect that both inter- and intra-regional complexity will play a pivotal role in elucidating neural mechanisms as captured by various physiological data modalities—such as EEG, magnetoencephalography, and magnetic resonance imaging—thereby offering promising insights for a range of biomedical applications. Full article

Understanding and classifying brain states as a function of sleep quality and age has important implications for developing lifestyle-based interventions involving sleep hygiene. Current studies use an algorithm that captures non-linear features of brain complexity to differentiate awake electroencephalography (EEG) states, as a function of age and sleep quality. Fifty-eight participants were assessed using the Pittsburgh Sleep Quality Inventory (PSQI) and awake resting state EEG. Groups were formed based on age and sleep quality (younger adults n = 24, mean age = 24.7 years, SD = 3.43, good sleepers n = 11; older adults n = 34, mean age = 72.87; SD = 4.18, good sleepers n = 9). Ten non-linear features were extracted from multiband EEG analysis to feed several classifiers followed by a leave-one-out cross-validation. Brain state complexity accurately predicted (i) age in good sleepers, with 75% mean accuracy (across all channels) for lower frequencies (alpha, theta, and delta) and 95% accuracy at specific channels (temporal, parietal); and (ii) sleep quality in older groups with moderate accuracy (70 and 72%) across sub-bands with some regions showing greater differences. It also differentiated younger good sleepers from older poor sleepers with 85% mean accuracy across all sub-bands, and 92% at specific channels. Lower accuracy levels (<50%) were achieved in predicting sleep quality in younger adults. The algorithm discriminated older vs. younger groups excellently and could be used to explore intragroup differences in older adults to predict sleep intervention efficiency depending on their brain complexity. Full article

Background: The human phospholipase B-II precursor (HPLBII-P) was originally purified from white blood cells but is also found in other cellular structures, such as kidney glomeruli and tubuli. The objective of this report was to investigate the relationship of HPLBII-P in urine to acute kidney injury in patients with COVID-19. Methods: Urine was collected at admission from 132 patients with COVID-19 admitted to the intensive care units (ICUs) because of respiratory failure. HPLBII-P was measured using a sensitive ELISA. For comparison, human neutrophil lipocalin (HNL) was measured in urine, using the ELISA configured with the monoclonal antibody 763/8F, as a sign of tubular affection in addition to routine biomarkers of kidney disease. Results: Overall, the concentrations of urinary HPLBII-P were almost 3-fold higher in patients with COVID-19 compared to healthy controls (p < 0.0001) and with significantly higher concentrations even in patients with COVID-19 without signs of acute kidney injury (AKI) (p < 0.001). HPLBII-P was further increased in patients with AKI (p < 0.02). HPLBII-P was significantly increased in patients with diabetes mellitus (p = 0.0008) and correlated to plasma glucose (r = 0.29, p = 0.001) and urine albumin concentrations (r = 0.55, p < 0.001). Conclusions: Urine concentrations of HPLBII-P are highly raised in the urine of patients with COVID-19 and relate to AKI and diabetes mellitus. HPLBII-P may reflect glomerular injury and/or increased glomerular cell activity in SARS-CoV-2 infections. Full article

(1) Background: Exploring the drivers of organic food consumption is crucial for designing pro-environmental marketing strategies. This study aims to investigate elements associated with organic product consumption in North Portugal, with a particular focus on food sustainability. (2) Methods: A self-reported questionnaire was administered to 295 participants to examine (1) personal motivations, such as beliefs about the impact of consuming organic products on health, concerns about soil, and self-perception of control; (2) attitudes towards contextual motivations, including the value of time, price, labels, and taste; and (3) the frequency of organic product consumption. A partial least squares model was employed to explore the relationship between participants’ motivations and behavior. (3) Results: Perceiving organic food as healthy was positively associated with higher organic product consumption. Positive attitudes towards cost-effective products, spending less time purchasing products, and a high locus of control did not moderate this relationship. While soil concerns were not significantly associated with the consumption of organic products overall, this association was significant in participants with a higher locus of control. A low locus of control was associated with a positive attitude towards pesticides. (4) Conclusions: The findings suggest that bridging the gap between concerns about soil conditions and pro-environmental behavior involves perceiving oneself as an agent of change and becoming proactive at an individual level. Resources to enhance individuals’ environmental curiosity and literacy may increase their locus of control, fostering a more accurate attitude towards pesticides and, consequently, an increase in organic product consumption. Additionally, companies could strengthen the association between organic food and better health by investing in marketing. These strategies have the potential to positively impact food sustainability. Full article

This study explored the effects of the sowing stage and nitrogen application rate on the grain yield and its allocation of light-temperature resources over a 9-year experiment from 2011 to 2019. Measurement indicators include the effective accumulative temperature on different growth durations, leaf area index (LAI), above-ground biomass production, and harvest index (HI). Methods: A split-plot design was arranged in the treatment, with N supply as the main plot and the sowing stage as the subplot. The main plots consisted of two nitrogen treatments: low nitrogen (LN: 120 kg ha⁻¹) and high nitrogen (HN: 180 kg ha⁻¹). The subplots contained two sowing stages: the early sowing stage (ES) and the late sowing stage (LS). Results: Compared with LNLS, LNES, and HNLS from 2011 to 2019, HNES of HHZ increased the grain yield by 9.5%, 2.5%, and 5.3%, while the difference in grain yield in YY8 was higher than HHZ, especially under HNES. Compared with LNLS, LNES, and HNLS from 2011 to 2019, HNES of HHZ increased the panicle number by 6.0%, 5.9%, and 1.0%, and HNES of YY8 increased by 12.7%, 11.4%, and 3.8%. Compared with HNLS of HHZ, LNES, LNLS, and HNES decreased the spikelets per panicle by 2.3%, 2.9%, and 1.1%, and decreased by 3.5%, 1.9%, and 2.2% in YY8. The early sowing or increasing N supply significantly increased the dry matter accumulated, grain weight, LAI, and HI. The higher grain yield in LNES was more closely related to the average temperature and the number of spikelets per panicle. The grain yield in HNES was more dependent on the effective accumulative temperature. Conclusions: Sowing in mid-May and increasing the N application (180 kg ha⁻¹) are beneficial to the allocation of light temperature and the increase in yield. Therefore, this research provides a theoretical basis for improving rice yield and optimizing the utilization of light-temperature resources in the future. Full article

This study examines the knowledge and involvement of consumers in sustainability goals, aiming to provide valuable insights to the textiles and clothing industry to foster their social responsibility efforts and enhance consumer interaction. By comprehending and monitoring consumer behavior, organizations can effectively implement sustainable practices and work towards achieving sustainable development goals. For this study, a questionnaire was designed to evaluate consumer concerns, behavior, self-reliance, and perspectives across four key phases of interest in sustainable consumer behavior regarding textiles—acquisition, use, maintenance, and disposal. The results show a compelling insight into the mindset of participants who prioritize budget, quality, comfort, and functionality over sustainability when acquiring new textile items. Most respondents do not participate in clothing rental or sharing and predominantly refrain from purchasing second-hand products, but they expressed a readiness to extend the lifespan of their products and displayed concern about ensuring a responsible end-of-life for their belongings. Moreover, they attach importance to textile products’ social and informational attributes and demand transparency from brands. These valuable data can guide the industry in its interactions with consumers. Scholars are increasingly committed to sustainability and its implications for practical application and policy development. Full article

In this study, thyme essential oil (essential oil to total lipid: 14.23, 20, 25, and 33.33%)-burdened nanoliposomes with/without maltodextrin solution were infused with natural hydrogels fabricated using equal volumes (1:1, v/v) of pea protein (30%) and gum Arabic (1.5%) solutions. The production process of the solutions infused with gels was verified using FTIR spectroscopy. In comparison to the nanoliposome solution (NL₁) containing soybean lecithin and essential oil, the addition of maltodextrin (molar ratio of lecithin to maltodextrin: 0.80, 0.40, and 0.20 for NL₂, NL₃, and NL₄, respectively) to these solutions led to a remarkable shift in particle size (487.10–664.40 nm), negative zeta potential (23.50–38.30 mV), and encapsulation efficiency (56.25–67.62%) values. Distortions in the three-dimensional structure of the hydrogel (H2) constructed in the presence of free (uncoated) essential oil were obvious in the photographs when compared to the control (H1) consisting of a pea protein–gum Arabic matrix. Additionally, the incorporation of NL₁ caused visible deformations in the gel (HNL₁). Porous surfaces were dominant in H1 and the hydrogels (HNL₂, HNL₃, and HNL₄) containing NL₂, NL₃, and NL₄ in the SEM images. The most convenient values for functional behaviors were found in H1 and HNL₄, followed by HNL₃, HNL₂, HNL₁, and H2. This hierarchical order was also valid for mechanical properties. The prominent hydrogels in terms of essential oil delivery throughout the simulated gastrointestinal tract were HNL₂, HNL₃, and HNL₄. To sum up, findings showed the necessity of mediators such as maltodextrin in the establishment of such systems. Full article

A non-minimal approximation for effective masses of light and heavy neutrinos in the framework of a type-I seesaw mechanism with three generations of sterile Majorana neutrinos which recover the symmetry between quarks and leptons is considered. The main results are: $\left(a\right)$ the next-order corrections to the effective mass matrix of heavy neutrinos due to terms $\mathcal{O}\left(\theta M_D\right)$ are obtained, which modify the commonly used representation for the effective mass ($M_D$ is a Dirac neutrino mass when the electroweak symmetry is spontaneously broken); and $\left(b\right)$ the general form of the mixing matrix is found in non-minimal approximation parametrized by a complex $3\times 3$ matrix satisfying a nontrivial constraint. Numerical analysis within the $\nu$MSM framework demonstrates the very small effect of new contributions of direct collider observables as opposed to their possible significance for cosmological models. Full article

This study aims to evaluate the financial health of Croatian top division clubs, locate their primary source of funding, and assess their capacity for self-sustainability. To conclude the current financial condition and long-term (un)sustainability of Croatian club football, selected financial categories and ratios for HNL clubs from 2018 to 2021 were compared with UEFA benchmarks. The horizontal financial analysis results were presented in aggregate league- and individual club-level form and compared to other leagues, averages, and UEFA recommendations. The research revealed significant operating losses covered by net transfer income, unacceptable high wage-to-revenue ratios, and inferior operating margins. Financial stability should not be upheld only as a means to an end for UEFA licensing but for the long-term viability of every football club and the community in which it is embedded. A focus on long-term internal, organic development (i.e., investing in academies, infrastructure, technology, and human capital, as well as actively supporting young players in the first eleven) can yield an edge against more prosperous competition. Without it, top Croatian clubs will eventually realize that the stream of talented players will thin out and, with it, the golden vein that keeps them financially alive. Full article

Studying citizens’ lifestyles is extremely important for understanding society and the social conditions of the personal lifestyle. Understanding the lifestyles of university students is especially important because they will be the future citizens and professionals who will shape society’s future. The aim of this study was a systematic review of the scientific literature about the use of the FANTASTIC Lifestyle questionnaire in an academic context. The reflective systematic literature review was carried out on PubMed, MEDLINE, Science Direct, and SCIELO databases with the keywords (“FANTASTIC Lifestyle questionnaire” OR “FANTASTICO questionnaire” OR “FANTASTIC questionnaire” OR “FANTASTIC survey” OR “FANTASTIC checklist”) AND (“university students”). The PRISMA criteria for reporting systematic reviews and meta-analyses were applied. The inclusion criteria were the use of the “FANTASTIC Lifestyle questionnaire” instrument for measuring lifestyles, the presentation of quantitative or qualitative results, and psychometric studies. The exclusion criteria were no use of FANTASTIC Lifestyle Questionnaire; other population, no quantitative or qualitative analysis, incomplete articles. The 15 scientific articles included in the study were analyzed. This literature review allowed us to conclude the importance and usefulness/actuality of this questionnaire. Furthermore, the importance of diagnosis should be emphasized, as should the development of strategies and intervention programs for the maintenance or creation of healthy societies. Full article

Optically anti-reflective and water-repellent glass is required for solar cell covers to improve power-generation efficiency due to transparency improvement and dirt removal. Research has been conducted in recent years on technologies that do not use fluorine materials. In this study, we focused on the anti-reflective properties and microstructure of hierarchical nanoporous layer (HNL) glass and used it as a substrate. As a result, we have achieved both strong anti-reflectivity and high water repellency on HNL glass by coating polydimethylsiloxane (PDMS) using baking and thermal chemical vapor deposition (CVD). The surfaces showed a significantly higher sliding velocity of water droplets than the PDMS-treated material on the flat glass plate. They also showed such water repellency that the droplets bounced off the surface. Full article

(1) Background: The oral films are a new delivery system that can carry several molecules, such as neuromodulator molecules, including caffeine. These delivery systems have been developed and characterized by pharmacokinetics assays. However, new methodologies, such as psychophysiological measures, can complement their characterization. This study presents a new protocol with psychophysiological parameters to characterize the oral film delivery systems based on a caffeine model. (2) Methods: Thirteen volunteers (61.5% females and 38.5% males) consumed caffeine oral films and placebo oral films (in different moments and without knowing the product). Electrocardiogram (ECG), electrodermal (EDA), and respiratory frequency (RF) data were monitored for 45 min. For the data analysis, the MATLAB environment was used to develop the analysis program. The ECG, EDA, and RF signals were digitally filtered and processed, using a windowing process, for feature extraction and an energy mean value for 5 min segments. Then, the data were computed and presented to the entries of a set of Machine Learning algorithms. Finally, a data statistical analysis was carried out using SPSS. (3) Results: Compared with placebo, caffeine oral films led to a significant increase in power energy in the signal spectrum of heart rate, skin conductance, and respiratory activity. In addition, the ECG time-series power energy activity revealed a better capacity to detect caffeine activity over time than the other physiological modalities. There was no significant change for the female or male gender. (4) Conclusions: The protocol developed, and the psychophysiological methodology used to characterize the delivery system profile were efficient to characterize the drug delivery profile of the caffeine. This is a non-invasive, cheap, and easy method to apply, can be used to determine the neuromodulator drugs delivery profile, and can be implemented in the future. Full article

Food-derived bioactive peptides are of great interest to science and industry due to evolving drivers of food product innovation, including health and wellness. This study aims to draw attention through a critical study on how bioinformatics analysis is employed in the identification of bioactive peptides in the laboratory. An in silico analysis (PeptideRanker, BIOPEP, AHTpin, and mAHTPred) of a list of peptides from goat casein hydrolysate was performed to predict which sequences could potentially be bioactive. To validate the predictions, the in vitro antihypertensive potential of the five peptides with the highest potential was first measured. Then, for three of these, gastrointestinal digestion was simulated in vitro, followed by the analysis of the resulting ACE inhibitory activity as well as antioxidant capacity. We thus observed that the use of new computational biology technologies to predict peptide sequences is an important research tool, but they should not be used alone and complementarity with various in vitro and in vivo assays is essential. Full article

It is desirable that noninvasive differential diagnosis takes place without lymph node biopsy for histiocytic necrotizing lymphadenitis (HNL) or malignant lymphoma (ML). In this study, we propose a novel scoring model for the differential diagnosis of these diseases using clinical information and clinical findings. We retrospectively analyzed the data from 15 HNL and 13 ML pediatric patients. First, a univariate analysis identified 14 clinical factors with significant differences. Second, a subsequent analysis using receiver operating characteristic (ROC) curve analysis identified three factors among them with area under the ROC curve values of >0.95: body temperature (°C), maximum lymph node size (cm), and serum β₂-microglobulin level (mg/L). Finally, the cut-off values of each of these three factors were determined and examined for the 28 cases. All 15 HNL cases were within 2–3 of the cut-off values among the three factors, no ML case was within two or more cut-off values. Thus, the diagnostic sensitivity and specificity of this novel scoring system were both 100%, indicating that clinical scoring with body temperature, maximum lymph node size, and β₂-microglobulin are useful for distinguishing between HNL and ML. Full article