Higher Fitness Research Articles

The value of future focus and experiential ad appeals in strengthening the effect of brand-pandemic fit on eWOM

Since the outbreak of COVID-19 in March 2020 brands have quickly adapted the content of their advertising to include pandemic related social and health messages. This paper explores the relationship of fit between the advertised brand and the pandemic as a potential influence on consumers’ eWOM intentions in an advanced and emerging market. Inspired by metacognitive fluency theory, we propose and find that pandemic adapted advertisements for brands that are high on brand-pandemic fit enhance consumers’ eWOM intentions in both markets. This relationship is stronger for experiential ad appeals and future focus in the ads. In terms of temporal focus, building on construal level theory, we find that the effect of fit on eWOM is increased by using future focused ads. Together, the results establish relationships between brand-pandemic fit of advertisements, ad liking, ad-appeals, future focus, and eWOM intentions. We conclude with a discussion of how brand advertising can facilitate societal well-being as high fit brands help individuals solve pandemic related challenges and generate more consumer engagement via eWOM intentions.

A Practical Hybrid Hysteresis Model for Calculating Iron Core Losses in Soft Magnetic Materials

Accurately calculating the losses of ferromagnetic materials is crucial for optimizing the design and ensuring the safe operation of electrical equipment such as motors and power transformers. Commonly used loss calculation models include the Bertotti empirical formula and hysteresis models. In this paper, a new hybrid hysteresis model method is proposed to calculate losses—namely, the combination of the Jiles–Atherton hysteresis model (J–A) and the Fourier hysteresis model. The traditional Jiles–Atherton hysteresis model is mainly suitable for fitting the saturation hysteresis loop, but the fitting error is relatively large for internal minor hysteresis loops. In contrast, the Fourier hysteresis model is suitable for fitting the minor hysteresis loops because the corresponding magnetic induction strength or magnetic field is lower and the waveform distortion is small. Moreover, Fourier series expansion can be expressed with fewer terms, which is convenient for parameter fitting. Through examples, the results show that the hybrid hysteresis model can take advantage of the strengths of each model, not only reducing computational complexity, but also ensuring high fitting accuracy and loss calculation accuracy.

Optimal trade-off between boosted tolerance and growth fitness during adaptive evolution of yeast to ethanol shocks

BackgroundThe selection of Saccharomyces cerevisiae strains with higher alcohol tolerance can potentially increase the industrial production of ethanol fuel. However, the design of selection protocols to obtain bioethanol yeasts with higher alcohol tolerance poses the challenge of improving industrial strains that are already robust to high ethanol levels. Furthermore, yeasts subjected to mutagenesis and selection, or laboratory evolution, often present adaptation trade-offs wherein higher stress tolerance is attained at the expense of growth and fermentation performance. Although these undesirable side effects are often associated with acute selection regimes, the utility of using harsh ethanol treatments to obtain robust ethanologenic yeasts still has not been fully investigated.ResultsWe conducted an adaptive laboratory evolution by challenging four populations (P1–P4) of the Brazilian bioethanol yeast, Saccharomyces cerevisiae PE-2_H4, through 68–82 cycles of 2-h ethanol shocks (19–30% v/v) and outgrowths. Colonies isolated from the final evolved populations (P1c–P4c) were subjected to whole-genome sequencing, revealing mutations in genes enriched for the cAMP/PKA and trehalose degradation pathways. Fitness analyses of the isolated clones P1c–P3c and reverse-engineered strains demonstrated that mutations were primarily selected for cell viability under ethanol stress, at the cost of decreased growth rates in cultures with or without ethanol. Under this selection regime for stress survival, the population P4 evolved a protective snowflake phenotype resulting from BUD3 disruption. Despite marked adaptation trade-offs, the combination of reverse-engineered mutations cyr1A1474T/usv1Δ conferred 5.46% higher fitness than the parental PE-2_H4 for propagation in 8% (v/v) ethanol, with only a 1.07% fitness cost in a culture medium without alcohol. The cyr1A1474T/usv1Δ strain and evolved P1c displayed robust fermentations of sugarcane molasses using cell recycling and sulfuric acid treatments, mimicking Brazilian bioethanol production.ConclusionsOur study combined genomic, mutational, and fitness analyses to understand the genetic underpinnings of yeast evolution to ethanol shocks. Although fitness analyses revealed that most evolved mutations impose a cost for cell propagation, combination of key mutations cyr1A1474T/usv1Δ endowed yeasts with higher tolerance for growth in the presence of ethanol. Moreover, alleles selected for acute stress survival comprising the P1c genotype conferred stress tolerance and optimal performance under conditions simulating the Brazilian industrial ethanol production.

Structural insight into the binding mode of cefotaxime and meropenem to TEM-1, SHV-1, KPC-2, and Amp-C type beta-lactamases.

Antimicrobial resistance is an emerging threat to public health around the world. The study employs computational and biophysical methods to investigate the properties of cefotaxime and meropenem's binding to various beta-lactamases like TEM-1, SHV-1, KPC-2, and Amp-C. The enzyme kinetics of purified proteins revealed an increase in Michaelis constant (Km) value in the presence of meropenem and cefotaxime, indicating a decrease in enzyme affinity for nitrocefin. Proteins interact with meropenem/cefotaxime, causing quenching through complex formation. All proteins have one binding site, and binding constant (Kb) values are 104, indicating strong interaction. The study found that meropenem and cefotaxime had high fitness scores for Amp-C, KPC-2,TEM-1 and SHV-1, with binding energy ranging from -7.4 to -7.8, and hydrogen bonds between them. Molecular Dynamic simulation of protein-ligand complexes revealed cefotaxime-binding proteins have slightly lower Root Mean Square Deviation(RMSD) than meropenem-binding proteins, indicating stable association antibiotics with these proteins.

Response Surface Methodology Optimization of Resistance Welding Process for Unidirectional Carbon Fiber/PPS Composites.

The use of thermoplastic composites (TPCs) as one of the lightweight solutions will inevitably encounter problems in connection. Resistance welding has the characteristics of high strength, simplicity, and high reliability, and is considered a very potential hot-melt connection technology. The resistance welding technology of unidirectional carbon fiber-reinforced polyphenylene sulfide composites (UCF/PPS) was systematically studied. The experimental results show that the 100-mesh brass mesh has the best resin wetting effect and heating efficiency, and the PPS/oxidized 100-mesh brass mesh composite resistance element (Ox-RE/PPS) has the highest welding strength. The welding failure mode changes from interface failure and RE failure to interlayer structure damage and fiber fracture. The single-factor experimental results show that the maximum welding strength is reached at 310 °C, 1.15 MPa, and 120 kW/m2. According to the conclusion of the single-factor experiment, the Box-Behnken method was further used to design a three-factor, three-level experiment, and a quadratic regression model was established according to the test results. The results of variance analysis, fitting curve analysis, and perturbation plot analysis proved that the model had high fitting and prediction abilities. From the 3D surface diagram analysis, the influence of power density is the largest, and the interaction between welding temperature and power density is the most significant. Combined with the analysis of Design Expert 13 software, the optimal range of process parameters was obtained as follows: welding temperature 313-314 °C, welding pressure 1.04-1.2 MPa, and power density 124-128 kW/m2. The average strength of resistance welding joints prepared in the optimal range of process parameters was 13.58 MPa.

Effect of Heat Acclimatization, Heat Acclimation, and Intermittent Heat Training on Maximal Oxygen Uptake.

Maximal oxygen uptake (VO2max) is an important determinant of endurance performance. Heat acclimation/acclimatization (HA/HAz) elicits improvements in endurance performance. Upon heat exposure reduction, intermittent heat training (IHT) may alleviate HA/HAz adaptation decay; however, corresponding VO2max responses are unknown. VO2max is maintained after HAz/HA; IHT mitigates decrements in aerobic power after HAz/HA. Interventional study. Level 3. A total of 27 male endurance runners (mean ± SD; age, 36 ± 12 years; body mass, 73.03 ± 8.97 kg; height, 178.81 ± 6.39 cm) completed VO2max testing at 5 timepoints; baseline, post-HAz, post-HA, and weeks 4 and 8 of IHT (IHT4, IHT8). After baseline testing, participants completed HAz, preceded by 5 days of HA involving exercise to induce hyperthermia for 60 minutes in the heat (ambient temperature, 39.13 ± 1.37°C; relative humidity, 51.08 ± 8.42%). Participants were assigned randomly to 1 of 3 IHT groups: once-weekly, twice-weekly, or no IHT. Differences in VO2max, velocity at VO2max (vVO2), and maximal heart rate (HRmax) at all 5 timepoints were analyzed using repeated-measure analyses of variance with Bonferroni corrections post hoc. No significant VO2max or vVO2 differences were observed between baseline, post-HAz, or post-HA (P = 0.36 and P = 0.09, respectively). No significant group or time effects were identified for VO2max or vVO2 at post-HA, IHT4, and IHT8 (P = 0.67 and P = 0.21, respectively). Significant HRmax differences were observed between baseline and post-HA tests (P < 0.01). No significant group or time HRmax differences shown for post-HA, IHT4, and IHT8 (P = 0.59). VO2max was not reduced among endurance runners after HA/HAz and IHT potentially due to participants' similar aerobic training status and high aerobic fitness levels. HAz/HA and IHT maintain aerobic power in endurance runners, with HAz/HA procuring reductions in HRmax.

Impact of different mutations on Kelch13 protein levels, ART resistance, and fitness cost in Plasmodium falciparum parasites.

Parasites with lowered sensitivity to artemisinin-based drugs are becoming widespread. However, even in these "resistant" parasites not all parasites survive treatment. We found that the proportion of surviving parasites correlates with the fitness cost of resistance-inducing mutations which might indicate that the growth disadvantages prevents resistance levels where all parasites survive treatment. We also found that combining two common resistance mutations did not increase resistance levels. However, selection through repeated ART-exposure did, even-though the known resistance genes, including k13, were not further altered, suggesting other causes of increased resistance. We also observed a disproportionally high fitness cost of a resistance mutation in resistance gene ubp1. Such high fitness costs may explain why mutations in ubp1 and other genes functioning in the same pathway as k13 are rare. This highlights that k13 mutations are unique in their ability to cause resistance at a comparably low fitness cost.

High Intensity Interval Exercise Causes Acute Microvascular Dysfunction in Elderly Individuals with Low Cardiorespiratory Fitness - A Pilot Study

Background: Frailty is strongly associated with low physical and cardiorespiratory fitness, and unfortunately is observed in 20-50% of the ~50 million adults that experience surgical stress in the U.S. each year. The peripheral microvasculature may serve as a potential target to increase resilience to stress and improve postoperative outcomes. A better understanding of how the microvasculature responds to stress in elderly individuals with low fitness is thus needed. Objective: To define the relationship between cardiorespiratory fitness and microvascular resiliency to stress in elderly individuals. Hypothesis: Elderly individuals with low cardiorespiratory fitness will show acute reductions in acetylcholine (Ach)-mediated dilation of the skin microvasculature following the physiological stressful stimulus of high intensity interval exercise (HIIE). Methods: This was a prospective, observational study that enrolled elderly individuals aged 65-85 years from the community. Each participant was asked to complete two study visits. During visit 1, participants completed the Frailty Index and performed a graded cardiopulmonary exercise test (CPET) on a cycle ergometer with a metabolic cart to measure peak total body oxygen consumption (VO2 Peak). During visit 2, laser Doppler flowmetry with dermal microdialysis was performed on the ventral forearm to measure peak cutaneous microvascular vasodilation to Ach (10 mM). After baseline assessment, the participants performed a HIIE protocol where they repetitively switched between exercising at 70% of the peak workload achieved during the CPET for 60 seconds, followed by a 60 second active recovery at 10 watts. These intervals were repeated 12 times, for a total exercise duration of 24 min. Thirty minutes following exercise, Ach-mediated dilation of the cutaneous microvasculature was reassessed. Maximum dilator capacity of each site was assessed by infusing sodium nitroprusside (28 mM) and heating the skin to 43 °C. Results: Six individuals (1 male, 5 females; mean age 68 ±4 years) completed all study procedures. Based on age- and sex-predicted normative values for VO2 Max, three of the individuals had high physical fitness while three had low fitness (mean VO2 Peak = 27.5±1.1 vs. 13.6±3.4 ml/kg/min, respectively). Prior to HIIE there was no difference in peak dilation to Ach between the individuals with high vs. low fitness (% max dilation = 72±13 vs. 83±13, respectively). During HIIE, the individuals reached a Borg rating of perceived exertion of 15±4 (out of 20) and their peak heart rate was 74±15% of their age-predicted maximum. Ach-mediated dilation of the dermal microvasculature was reduced following HIIE in elderly individuals with low cardiorespiratory fitness (pre vs. post % maximum dilation = 82±13 vs. 49±27, respectively; mean change = -34±40 %) but unchanged in those with high fitness (pre vs. post % maximum dilation = 72±13 vs. 78±10, respectively; mean change = 5±3 %). Using Pearson correlation tests there was a strong correlation between the change in peak Ach-mediated dilation pre vs. post HIIE and both VO2 Peak (r=0.82, p=0.04) and Frailty Index score (r=-0.98, p&lt;0.001). Conclusion: Microvascular resilience to acute stress is decreased in elderly individuals with low cardiorespiratory fitness compared to those with high fitness. None. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

CARDIORESPIRATORY FITNESS, HIGH BODY FAT PERCENTAGE AND THE RISK OF CORONARY CALCIFICATION IN MIDDLE–AGED MEN

Objective: Low levels of cardiorespiratory fitness (CRF) have been showed to increase the risk of cardiovascular disease(CVD). We tested the hypothesis that central obesity is associated with coronary artery calcification (CAC), but that fitness attenuates this association. Design and method: We analyzed men who participated in a health screening program. We measured CAC using multidetector computed tomography (MDCT) with a calculation of Agatston coronary artery calcium score. CAC score over 400 were defined as the prevalence of moderate to severe subclinical atherosclerosis. Central obesity was defined as body mass index (BMI) over 25kg/m2 and body fat percentage (BFP) over 30% in men. Fitness was directly measured by peak oxygen uptake (VO2peak) and divided into unfit (low tertile) and fit (middle and upper tertile) categories based on age-specific VO2peak percentiles. Results: Compared with normal weight men, central obese men was associated with a higher prevalence of CAC after adjusting for age, SBP, lipid profile, logCRP, s-glucose, heart rate, diabetes, and hypertension. The fit men was associated with lower odds ratios for having CAC. However, the fit with central obesity had odds ratios for CAC that were similar to those of the fit with normal weight. Conclusions: Our findings demonstrate that BMI and BFP are associated with increased risk of moderate to severe CAC score, but that high fitness appears to attenuate the risk in men.

DEVELOPMENT AND INTERNAL VALIDATION OF A PREDICTION MODEL TO PREDICT THE PROBABILITY OF FUTURE RECURRENCE OF HYPERTENSION IN PATIENTS WITH HYPERTENSIVE DISORDERS OF PREGNANCY

Objective: This study aimed to obtain a clinical prediction model for the future recurrence of hypertension in women with a history of gestational hypertension or Preeclampsia-Eclampsia by analyzing the basic data and laboratory indicators in their pregnancy. Design and method: We retrieved hypertensive disorders of pregnancy (HDP) patients of the First Affiliated Hospital of Dalian Medical University and the Second Affiliated Hospital of Dalian Medical University from 2001 to June 2021. After telephone follow-up, a total of 605 pregnant women with previous HDP were followed up. The baseline data of the cases were followed by binary logistic regression analysis according to the follow-up hypertension outcome, Nomogram plotted according to independent risk factors, and the model discrimination was tested by operating characteristic curve (ROC), The reproducibility of the model was verified by internal validation on the development dataset (Bootstrap self-sampling method, internal cross-validation and Jackknife validation), verify the calibration of the model through the calibration curve (Hosmer-Lemeshow goodness of fit test), and Validation of clinical predictive value by Decision Curve Analysis (DCA). Results: data analysis showed that A total of 200 (33.06%) pregnant women with a previous history of HDP had recurrent hypertension during follow-up (median follow-up time was 5 years). The predictors in the Nomogram were the highest diastolic blood pressure (DBP) during pregnancy, the highest systolic blood pressure (DBP) during pregnancy, peak Alkaline phosphatase value, age at delivery, peak uric acid value, and positive urine protein, Contrary to the remaining 5 predictors, a low level of peak alkaline phosphatase value predicted a high risk of postpartum hypertension. the Area Under Curve (AUC) of ROC about the nomogram was 0.797, and a similar C-index was obtained in the internal validation, and this model show a high fitting degree in the calibration curve and show clinical predictive value. Conclusions: The results of this study can provide predictive indicators for women with HDP to suffer from hypertension after delivery, which can be used for clinical decision-making, and aid with follow-up blood pressure monitoring and the selection of primary prevention treatment groups.

The impact of Janus fit brand extensions on perceived brand innovativeness

This research addresses “Janus fit” brand extensions: extensions that are perceived to have both “fitting” and “unfitting” associations vis-a-vis the parent brand. One pre-experiment and three main experiments show that when a brand introduces a Janus fit brand extension, it is perceived to be more innovative than when it introduces either a traditional high fit extension or a low fit extension. The effects are mediated by surprise feelings. Specifically, the high brand innovativeness ratings obtained by the Janus fit extensions are explained by the fact that they elicit moderately high surprise feelings in consumers, instead of low surprise feelings (as high fit extensions) or excessively high surprise feelings (as low fit extensions). The Janus fit extensions can also be seen to evoke a “Eureka surprise experience”: an initial feeling of surprise, followed by a sudden realization that the brand extension after all makes sense for the brand in question.

Towards Intercity Mobility System – Insights into the Spatial Interaction Gravity Model and Determination Approach

The current development of urban agglomeration greatly promotes the intercity connection and elevates the significance of intercity mobility system. However, intercity mobility often exhibits extreme spatiotemporal imbalances due to the diverse urban characteristics. This poses a huge challenge for traffic management and reveals the necessity on understanding the urban attractiveness for intercity mobility, which is represented as spatial interaction gravity in this study. While recent works have explored relevant aspects, they failed to provide insights into temporal variations in spatial interaction gravity or capture the determining factors from multiple perspectives. To fill this gap, this study proposed a two-phase framework to measure the urban spatial interaction gravity and developed determination approaches utilising the large-scale location-based services (LBS) dataset. Specifically, the inverse gravity model was adopted for the measure within multiple urban agglomerations and city sets during weekdays, weekends and holidays. Then, we developed the fitting equations of spatial interaction gravity by incorporating the correlated features associated with social, economic, network accessibility and land use. The findings present spatial interaction gravity across different periods and substantiate the distinct determination effects of features, with a high fitting accuracy. They provide promising supports for the intercity mobility prediction and pre-emptive traffic management.

Assessing embodied carbon of flat slab buildings – An ANN-integrated optimization methodology

Currently, there is a scarcity of studies that comprehensively address all structural components in the building's overall environmental performance. Although mathematical optimization has shown its great effectiveness, the prevailing iterative design approach continues hindering the simultaneous optimization of building structural performance and its sustainability. This research aims to address this gap by introducing an innovative optimization framework that integrates optimization concepts into the design process using Artificial Neural Networks (ANNs). The proposed framework includes a carbon-optimization problem for flat slab buildings, which is validated with manual designs, and a surrogate modelling stage employing ANNs to predict optimal design solutions. The best network demonstrates remarkable predictive power, yielding minimal errors and high fitness (>0.96) for all variables, except slab thickness. Sensitivity analysis identifies the building's height and dimensions as the most influential factors on the slab reinforcement, column reinforcement, and carbon footprint. While span length and slab concrete strength greatly impact slab and drop depths, column size is primarily controlled by span length and building's height. This research not only provides crucial insights into sustainable design solutions but also paves a clear pathway towards achieving decarbonization and cleaner production across the entire building sector.

Addressing medical student burnout through informal peer-assisted learning: a correlational analysis

BackgroundDespite the recognized advantages of Peer-Assisted Learning (PAL) in academic settings, there is a notable absence of research analyzing its effects on students' Academic Burnout. This study aims to cover this gap by assessing the underlying effectiveness of Informal Peer-Assisted Learning (IPAL) as a cooperative learning method, focusing on its potential to mitigate academic burnout among medical students.MethodsIn 2022, a cross-sectional study was conducted at the School of Medicine, Universidad Central del Caribe, in Puerto Rico. The research team gathered data from 151 participants, 49.19% of 307 total student body. This cohort included 76 female students, 71 male students, and 4 individuals saying other. The School Burnout Inventory questionnaire (SBI-9) was employed to assess Academic Burnout, along with an added query about self-reported IPAL. The SBI-9 underwent validation processes to ascertain its reliability and validity, incorporating the Exploratory Factor Analysis and Confirmatory Factor Analysis. Following this, the investigators conducted an analysis to determine the correlation between academic burnout levels and involvement in IPAL.ResultsThe validation process of the questionnaire affirmed its alignment with an eight-item inventory, encapsulating two principal factors that elucidate academic burnout. The first factor pertains to exhaustion, while the second encompasses the combined subscales of cynicism and inadequacy.The questionnaire shows high reliability (Cronbach's alpha = 0.829) and good fit indices (Comparative Fit Index = 0.934; Tucker-Lewis Index = 0.902; Standardized Root Mean Squared Residual = 0.0495; Root Mean Squared Error of Approximation = 0.09791; p-value < 0.001). The factors proven in the selected model were used to evaluate the correlation between Academic Burnout and IPAL. Students engaged in IPAL showed significantly lower academic burnout prevalence compared to those who never participated in such practices, with a mean academic burnout score of 44.75% (SD 18.50) for IPAL engaged students versus 54.89% (SD 23.71) for those who never engaged in such practices (p-value < 0.013). Furthermore, within the group engaged in IPAL, students displayed lower levels of cynicism/inadequacy 41.98% (SD 23.41) compared to exhaustion 52.25% (SD 22.42) with a p-value < 0.001.ConclusionsThe results of this study underscore a notable issue of academic burnout among medical students within the surveyed cohort. The investigation reveals a significant correlation between Academic Burnout and IPAL, suggesting that incorporating IPAL strategies may be beneficial in addressing burnout in medical education settings. However, further research is needed to explore potential causal mechanisms.

Local adaptation of a generalist hemiparasitic plant to one of its potential host plants

Coevolution is often found in parasite–host interactions, but has not yet been described for hemiparasitic plants and their hosts. Root hemiparasites like Rhinanthus alectorolophus perform photosynthesis but also parasitize other plant species, some of which (e.g. Plantago lanceolata) may defend themselves against parasite attack by blocking the haustoria of the parasites. We grew seedlings of the hemiparasite R. alectorolophus and the potential host P. lanceolata from seven grassland sites in a factorial design. To detect differences in host defence, we also included hosts from two ‘naïve' populations from regions where the parasite does not occur. R. alectorolophus grew consistently larger and had higher fitness with sympatric than with allopatric hosts, suggesting parasite adaptation to local host populations. Moreover, R. alectorolophus remained smallest with allopatric hosts from the same region and reached intermediate sizes with allopatric hosts from other regions or naïve hosts, suggesting host adaptation to parasites at the regional scale. Parasite presence reduced the size of the host plants already after four weeks, but only that of hosts with ‘experience' of the parasite, suggesting an early host response. Follow‐up experiments confirmed that parasites attach to hosts already after four weeks and hosts respond by changing belowground allocation patterns. However, parasite roots did not preferentially grow towards sympatric hosts. Our results suggest that local adaptation to hosts can occur even in generalist parasites and does not require specialization on individual hosts. We discuss the role of potential mechanisms, including variation in chemical signalling (early) and in host defence (late effects).

The Impact of Different Types of Advertisements on the Level of Physical Activity Among Postmenopausal Women

Background: Understanding the factors that influence physical activity in menopausal women is important for planning and implementing effective strategies to upgrade women’s health. The purpose of this study was to examine the impact of different types of advertisements on the level of physical activity among postmenopausal women. Methods: The current research employed an analytical cross-sectional design and was conducted on 385 postmenopausal women. Data were collected through physical activity questionnaires to assess the impact of advertisements on social networks and media, as well as word-of-mouth advertisements. SPSS software was used to analyze the data, and PLS software was used to check the model’s fit. Results: The findings of this research showed that advertisements on social networks (T=11.38, B=0.8(, media advertisements (T=6.42, B=0.53), and word-of-mouth advertisements (T=8.92, B=0.60) had a positive and significant effect on postmenopausal women’s physical activity, with the first item (i.e., social media advertisements) exerting the most significant impact according to the value of the T statistic, which must be greater than 1.96 at the 95% confidence level, and the B statistic as the impact coefficient. The overall fit of the model was equal to 0.53, indicating the high overall fitness of the model, further evidenced by an Standardized Root Mean Square Residual (SRMR) index of 0.06. Conclusion: The results of this study indicated that the use of different advertising methods could have significant effects on menopausal women’s tendency toward sports programs and venues. Therefore, it is essential for health organizations to continue to use these advertisements, especially on social media, to promote the physical activity level and improve the health and wellbeing of menopausal women.

Study of the novel boron nitride polymorphs: First- principles calculations and machine learning

This study explores two new boron nitride polymorphs, namely C2221 BN and I-4 BN, characterized by sp2 hybridization. The investigation is conducted through first-principles calculations, including assessments of their structural properties, stability, elastic properties, anisotropy, and electronic properties. The newly discovered boron nitride polymorphs exhibit mechanical stability, dynamic stability, and thermodynamic stability, as ascertained by analyzing their elastic constants, phonon spectra, and associated enthalpies. The B/G values for both C2221 BN and I-4 BN far exceed the threshold of 1.75, thus confirming that they are ductile materials. The BN polymorphs investigated in this work exhibit different degrees of anisotropy in Young's modulus, shear modulus, and Poisson's ratio. Meanwhile, two different datasets were trained using four machine learning algorithms, and the random forest model with the m2ax dataset showed a high fitting degree, small error, and good stability. Then, the machine learning model, which has undergone training, is used to predict the elastic modulus of boron nitride polymorphs. Upon comparing the computed GGA values with the experimental values of c-BN, it is evident that the random forest model outperforms in accurately predicting the elastic modulus of boron nitride polymorphs.

Analysis of Flight Loads during Symmetric Aircraft Maneuvers Based on the Gradient-Enhanced Kriging Model

The analysis of flight loads during symmetric aircraft maneuvers is an essential but computationally intensive task in aircraft design. The significant structural elastic deformation in modern aircraft further complicates this work, adding to the computational demands. Therefore, improving the analysis efficiency of flight loads during maneuvers is crucial for accelerating design interactions and shortening the development cycle. This study explores a method for analyzing flight loads in the time domain during maneuvers of elastic aircraft by introducing a database of high-precision rigid-body aerodynamic loads. Furthermore, it combines the gradient-enhanced Kriging model to efficiently predict elastic flight loads during longitudinal maneuvers. The results indicate that the proposed surrogate-based method has high fitting accuracy with significantly improved computational efficiency, providing a new approach for efficient analysis of flight loads during aircraft maneuvers.

New Ciprofloxacin–Pyrazolopyrimidine Hybrids as Topoisomerase IV and Gyrase Inhibitors against MRSA AUMC 261

AbstractEleven novel ciprofloxacin–pyrazolopyrimidine hybrids 4 a–k were synthesized and structurally elucidated using NMR, elemental analysis, and mass spectrometry. The antibacterial screening showed that the newly synthesized compounds revealed a remarkable shifting of antibacterial activity from Gram–negative toward Gram–positive bacteria. Most of the synthesized hybrids displayed good to excellent activity against Staph aureus ATCC 6538 especially hybrids 4 a and 4 g which revealed MICs of 12.5 and 6.25 μg/ml, respectively, compared to the ciprofloxacin MIC, 25 μg/ml as a reference drug. In addition, both hybrids displayed potent activity toward MRSA AUMC 261 with MICs, 71 and 36 μg/ml respectively, compared to the ciprofloxacin MIC, 190 μg/ml as a reference drug. Additionally, hybrids, 4 a and 4 g exhibited effective inhibitory activity against DNA gyrase and topoisomerase IV enzymes with IC50 values, 0.404, 1.626 μM and 3.647 and 3.791 μM, respectively, compared to ciprofloxacin IC50 values 0.661 and 8.159. A molecular modeling investigation showed a high fitting affinity of hybrids 4 a and 4 g toward gyrase and topoisomerase IV active sites compared to ciprofloxacin.

Impact of cardiorespiratory fitness and diabetes status on cardiovascular disease and all-cause mortality: An NHANES retrospective cohort study

High cardiorespiratory fitness (CRF) is associated with decreased mortality in people with pre-diabetes (pre-DM) and diabetes mellitus (DM); however, the degree to which CRF attenuates the risk of cardiovascular disease (CVD)-related and all-cause mortality is unclear. Study objectiveWe examined the impact of CRF status on CVD-related morbidity and all-cause mortality in non-DM, Pre-DM, and DM populations. Design and setting13,968 adults from the Third US National Health and Nutrition Examination Survey (NHANES III) were stratified into non-DM, pre-DM, or DM groups based on HbA1c levels. VO2Max was calculated using the Fitness Registry and Importance of Exercise: A National Database (FRIEND) equation. ParticipantsParticipants were categorized into tertiles of VO2Max; first VO2Max tertile was the lowest VO2Max and third VO2Max tertile was the highest. Main outcome measure(s)Cox regression was used to analyze the relationship between glycemic levels, VO2Max, and CVD-related and all-cause mortality. ResultsThose with DM in the highest fitness tertile had CVD (HR 0.13; 95 % CI 0.06, 0.27; p < 0.0001) and all cause (HR 0.28; 95 % CI 0.21, 0.38; p < 0.0001) mortality rates as low or lower than those with pre-DM (CVD HR 1.02; 95 % CI 0.78, 1.33 p < 0.892; all cause HR 0.96; 95 % CI 0.83, 1.12; p < 0.5496) or non-DM (CVD HR 0.65; 95 % CI 0.52, 0.80; p < 0.0001; all cause HR 0.61; 95 % CI 0.55, 0.68; p < 0.0001) at lower fitness levels. Regardless of DM status, there was lower all-cause mortality with higher CRF levels. ConclusionsHigher fitness levels in DM individuals are associated with total and CVD mortality rates as low or lower than those without DM with lower fitness.