Miracle-dz/UniFAR-FTUs huggingface dataset:
Pattern and correlates of physical activity and sedentary behaviours of pregnant women in Ibadan, Nigeria: Findings from Ibadan pregnancy cohort study

Globally, physical inactivity is the fourth leading risk factor for premature death. Pregnancy is associated with reduced physical activity because of physiological and anatomical changes and socio-cultural barriers. Even though physical activity provides many benefits, such as improved insulin sensitivity and reduced cardiometabolic risk, it is not emphasized among pregnant women in Nigeria. This study described the pattern of physical activity and sedentary behaviours of pregnant women from the Ibadan Pregnancy Cohort Study in Ibadan, Nigeria. The Ibadan Pregnancy Cohort Study (IbPCS) is a prospective cohort study investigating the associations between maternal obesity, lifestyle factors on glycaemia control, gestational weight gain, pregnancy and postpartum outcomes among pregnant women in Ibadan. The Pregnancy Physical Activity Questionnaire (PPAQ) was used to assess physical activity and sedentary behaviour. Sedentary time was estimated from the time spent watching television, sitting at work and the computer. Bivariate and multivariate logistic regression analyses were done to investigate associations at a 5% level of statistical significance. None of the pregnant women met the WHO recommendation of 150mins of moderate-intensity activity per week. The average time spent engaged in moderate-intensity activity was 26.3 ± 22.9 mins. The mean daily sedentary time was 6.5 ± 4.2 hours. High parity para ≥ 4: [AOR 0.57 95% CI: (0.36–0.89) p = 0.014] and being employed [AOR 0.23 95% CI: (0.15–0.33) p <0.001] reduced the odds of having inadequate physical activity. Correlates of sedentary behavior after adjusting for confounders were high parity: para 1–3 AOR 0.73, 95% CI: (0.58–0.91) p = 0.004], tertiary education: AOR 2.39 95% CI: (1.16–4.91) p = 0.018] and earning a higher income: AOR 1.40: 95% CI: (1.11–1.78) p = 0.005]. Pregnant women’s physical activity and sedentary behaviours are emerging public health issues, especially in Nigeria. The level of physical activity was inadequate among pregnant women, while the sedentary time was high. There is a need to implement programmes that promote physical activity and discourage sedentary behaviour among pregnant women in Nigeria.
The Effects of Unilateral Resistance Training on Muscular Strength, Power, and Measures of Core Stability in Resistance Trained Individuals

Purpose: To examine the effects of unilateral resistance training on lower body power, muscular strength, and measures of core stability in resistance-trained college students. Methods: Participants (N=22; mean age= 19.86 ± 0.9 years) underwent 10 sessions of either unilateral (UL) or bilateral (BL) resistance training on three non-consecutive days per week for three weeks. Pre and post training outcome measures included one repetition maximum (1-RM) leg press for lower body strength, standing vertical jump (VJ) for lower body power, and double leg lowering (DLL), hip abduction isometric strength (HAIS), and Sorensen (SOR) tests for core stability. Results: There was a significant (p≤ 0.05) main effect of time across all variables, such that both groups improved scores on 1-RM leg press, VJ, DLL, HAIS, and SOR. Additionally, the magnitude of improvement (Cohen’s d) was larger in UL for all variables except VJ, which was larger in the BL group. Conclusion: This study adds to the growing body of literature investigating the effects of UL resistance training in athletic populations. Similar improvements following UL or BL resistance training suggest that both methods can effectively enhance strength, power, and core stability. UL training may potentially yield greater improvement of core stability variables.
THE EFFECTS OF ROTATION ON s-PROCESS NUCLEOSYNTHESIS IN ASYMPTOTIC GIANT BRANCH STARS

In this paper, we analyze the effects induced by rotation on low-mass asymptotic giant branch stars. We compute two sets of models, M = 2.0 M☉ at [Fe/H] = 0 and M = 1.5 M☉ at [Fe/H] = −1.7, by adopting main-sequence rotation velocities in the range 0–120 km s−1. At high metallicity, we find that the Goldreich–Schubert–Fricke instability, active at the interface between the convective envelope and the rapid rotating core, contaminates the 13C-pocket (the major neutron source) with 14N (the major neutron poison), thus reducing the neutron flux available for the synthesis of heavy elements. As a consequence, the yields of heavy-s elements (Ba, La, Nd, Sm) and, to a lesser extent, those of light-s elements (Sr, Y, Zr) decrease with increasing rotation velocities up to 60 km s−1. However, for larger initial rotation velocities, the production of light-s and, to a lesser extent, that of heavy-s, begins again to increase, due to mixing induced by meridional circulations. At low metallicity, the effects of meridional circulations are important even at rather low rotation velocity. The combined effect of the Goldreich–Schubert–Fricke instability and meridional circulations determines an increase of light-s and, to a lesser extent, heavy-s elements, while lead is strongly reduced. For both metallicities, the rotation-induced instabilities active during the interpulse phase reduce the neutron-to-seed ratio, so that the spectroscopic indexes [hs/ls] and [Pb/hs] decrease by increasing the initial rotation velocity. Our analysis suggests that rotation could explain the spread in the s-process indexes, as observed in s-process enriched stars at different metallicities.
Assumptive Worldviews and Prolonged Grief Disorder in Terror-bereaved Family Members – The Mediator’s Role of Coping Flexibility and Adjustment Disorder

Abstract The role of serial mediators of coping flexibility and adjustment disorder (AjD) symptoms in the association of assumptive worldviews and prolonged grief disorder (PGD) symptoms was examined among 214 Israeli terror-bereaved family members. The present findings expanded those of previous studies and revealed: Higher loss of assumptive worldviews predicted lower coping flexibility, which subsequently predicted higher AjD symptoms, which subsequently predicted higher PGD symptoms. Simple mediation of AjD symptoms was found in the link between assumptive worldviews and PGD symptoms. Professionals working with terror-bereaved families should target AjD symptoms and coping flexibility abilities in their assessments and interventions.
Transcriptome Sequencing Analysis of lncRNA and mRNA Expression Profiles in Bone Nonunion

Background Bone nonunion is a serious complication of fracture. This study explored the differentially expressed lncRNAs (DELs) and mRNAs (DEGs) and identified potential lncRNA-mRNA interactions in bone nonunion. Methods We extracted total RNA from three bone nonunion and three bone union patient tissue samples. RNA sequencing was performed to detect DELs and DEGs between bone nonunion and union tissue samples. The lncRNAs and genes with absolute log2-fold change (log2FC) > 1 and adjusted p value < 0.05 were further chosen for gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. lncRNA and targeted mRNA interaction networks were constructed. Results We observed 179 DELs and 415 DEGs between the bone nonunion and union tissue samples. GO analysis indicated that DELs and DEGs were mainly enriched in the chondroitin sulfate proteoglycan biosynthetic process. DELs and DEGs were enriched in “ECM-receptor interaction” and “Staphylococcus aureus infection” KEGG pathways. Several potential lncRNA-mRNA interactions were also predicted. Conclusions This study identified bone nonunion-associated lncRNAs and mRNAs using deep sequencing that may be useful as potential biomarkers for bone nonunion.
Indicator species analysis and assessment of ornamental plants using multivariate statistical techniques in the home gardens of Rustam Valley, Pakistan

Ornamental plant species are mostly grown for aesthetic purposes, for their fruits, vegetables, flowers, and medicinal value. Houses are decorated with various annual and perennial plants. The present study was performed to assess the ornamental plant composition, abundance, and distribution pattern with a special reference to gardening practices/environmental variables in the Rustam Valley, Pakistan. Using quantitative ecological methods, different home gardens were observed at arbitrary intervals. The frequency, relative frequency, density, relative density, and importance values were measured to determine the most frequent and least frequent ornamental plant species in each type of habitat. The initial results showed a total of 43 ornamental plant species belonging to 30 families. Presence-absence data (1, 0) for the 43 ornamental species and 50 stations were analysed using cluster and two-way cluster analyses using the PC-ORD version 5, which resulted in the identification of four different ornamental plant communities. The CANOCO version 4.5 was used to evaluate the environmental and cultural gradients of ornamental plants through the canonical correspondence analysis (CCA). The positions of characteristic plant species in a particular community were confirmed using data attribute plots. The CCA plots of the ornamental and questionnaire data show that irrigation, home size, purpose of cultivation and the use of artificial fertilizers were the main factors affecting various ornamental plant communities. Additionally, further studies should be conducted to examine, conserve, and manage the ornamental plant species diversity and contributions of such species to livelihoods in the study area.
Artificial Neural Network Model for Estimating Ocean Heat Content in the Sea Ice-Covered Arctic Regions Using Satellite Data

Ocean heat content (OHC) is an essential parameter to assess Earth’s energy imbalance, global warming, and climate change over the historical record. An accurate estimate of the OHC in the Arctic sea ice regions is challenging due to the lack of in-situ data and satellite-based algorithms. In this study, an artificial neural network-based (ANN) novel approach is presented for estimating OHC changes at various standard depth extents (in line with the World Ocean Atlas-2018 depth levels) in the Arctic sea ice regions based on the relationships of the sea ice thermodynamic parameters from the satellite measurements and in-situ OHC estimates. Because of the potential uncertainty that arises from the inaccessible near-surface oceanic layer in the in-situ OHC estimates, a preliminary ANN model was developed with a set of approximations to account for the in-situ OHC stored in the respective depths within the inaccessible near-surface oceanic layer. The ANN model architecture was optimized for a depth extent of 700 m and adopted for the remaining depths of 20 m, 30 m, 40 m, 50 m, 100 m,150 m, 200 m, 250 m, 300 m, 350 m, 400 m, 450 m, 500 m, 550 m, 600 m, and 650 m. The new model was robust in capturing the spatial, temporal, and depth variabilities of OHC in the sea ice-covered Arctic regions with greater accuracy (mean bias error 0.022 GJ m−2, mean bias percentage error 0.015%, mean absolute error 0.182 GJ m−2, mean absolute percentage error 0.148%, root mean square error 0.24 GJ m−2, R−2 0.94, slope 0.93, and intercept 25.05 GJ m−2). This model is capable of estimating OHC and its temporal trends from satellite data which will have implications for understanding the global climate change and its impacts in the Polar Oceans.
Constraining CMIP6 Projections of an Ice‐Free Arctic Using a Weighting Scheme

Employing a model democracy in which each model is equally weighted may lead to a poor estimation of the true uncertainty in climate projections from phase 6 of the Coupled Model Intercomparison Project (CMIP6). The improvement and increase in number of CMIP6 models compared with previous phases of CMIP indicate that both model skill and independence need to be considered to provide convincing projections. In this study, we use a weighting scheme, which weights both the skill and independence of multi‐model simulations, to efficiently constrain the large uncertainty in the projection of the timing of an ice‐free Arctic. The uncertainty‐constrained projections of CMIP6 show that the multi‐model spread of the projected first year of an ice‐free Arctic can be reduced by about 29 years under the Shared Socioeconomic Pathway (SSP)3–7.0 scenario (a regional rivalry scenario), indicating a faster tendency to an ice‐free Arctic summer than projections based solely on model democracy. A fossil‐fuel‐based development scenario (i.e., SSP5‐8.5) leads to an ice‐free Arctic before the 2070s (ranging from 2038 to 2071), while an ice‐free Arctic occurs slightly later (by ∼10 years) under the SSP2‐4.5 scenario (i.e., intermediate scenario) and the SSP3‐7.0 scenario, but is inevitable this century. The sustainable development scenario (i.e., SSP1‐2.6) is likely to prevent the occurrence of an ice‐free Arctic. Internal variability strongly affects the projection estimated by the equally weighted ensemble; however, it has a negligible impact on the results obtained by the weighting scheme, thereby indicating that the results of this study are robust and convincing.
Performance of the ARIANNA Hexagonal Radio Array

Installation of the ARIANNA Hexagonal Radio Array (HRA) on the Ross Ice Shelf of Antarctica has been completed. This detector serves as a pilot program to the ARIANNA neutrino telescope, which aims to measure the diffuse flux of very high energy neutrinos by observing the radio pulse generated by neutrino-induced charged particle showers in the ice. All HRA stations ran reliably and took data during the entire 2014-2015 austral summer season. A new radio signal direction reconstruction procedure is described, and is observed to have a resolution better than a degree. The reconstruction is used in a preliminary search for potential neutrino candidate events in the data from one of the newly installed detector stations. Three cuts are used to separate radio backgrounds from neutrino signals. The cuts are found to filter out all data recorded by the station during the season while preserving 85.4% of simulated neutrino events that trigger the station. This efficiency is similar to that found in analyses of previous HRA data taking seasons.
LGBM: An Intrusion Detection Scheme for Resource-Constrained End Devices in Internet of Things

The intrusion detection schemes (IDSs) based on the Gradient Boosting Decision Tree (GBDT) face three problems: unbalanced training data distribution, large dimensionality of data features, and difficulty in model parameter optimization, which lead to weak monitoring capability and high false positive rate. For the problem of unbalanced training data distribution, we make the one-sided gradient oversampling algorithm to ensure the balance between the data of each category. To tackle the problem of the large dimensionality of data features, we develop a hierarchical cross-validation algorithm for binding mutually exclusive features. To address the problem of difficulty in model parameter optimization, we design a Bayesian optimization algorithm to make the model parameter search process more targeted and reduce the model training cost by establishing functional relationships between hyperparameters and target functions. The detailed experimental results show that the scheme can effectively solve the problems of data imbalance, high-dimensional data features, and low parameter finding efficiency, and improve the model’s ability to monitor the attack behavior.
A CO(3–2) survey of a merging sequence of luminous infrared galaxies

Luminous infrared galaxies (L(IR) > 10(11) L(circle dot)) are often associated with interacting galactic systems and are thought to be powered by merger-induced starbursts and/or dust-enshrouded active galactic nucleus. in such systems, the evolution of the dense, star-forming molecular gas as a function of merger separation is of particular interest. Here, we present observations of the CO(3-2) emission from a sample of luminous infrared galaxy mergers that span a range of galaxy-galaxy separations. The excitation of the molecular gas is studied by examining the CO(3-2)/CO( 1 -0) line ratio, r(31), as a function of merger extent. We find these line ratios, r(31), to be consistent with kinetic temperatures of T(k) = (30-50) K and gas densities of n(H2) = 10(3) cm(-3). We also find weak correlations between r(31) and both merger progression and star formation efficiency [L(FIR)/L(CO(1-0))]. These correlations show a tendency for gas excitation to increase as the merger progresses and the star formation efficiency rises. To conclude, we calculate the contributions of the CO(3-2) line to the 850-mu m fluxes measured with SCUBA (Submillimetre Common-User Bolometer Array), which are seen to be significant (similar to 22 per cent).
Human Melanoma Cells Differentially Express RNASEL/RNase-L and miR-146a-5p under Sex Hormonal Stimulation

Polymorphisms in the ribonuclease L (RNASEL) coding gene and hsa-miR-146a-5p (miR-146a) have been associated with melanoma in a sex-specific manner. We hypothesized that RNASEL and miR-146a expression could be influenced by sex hormones playing a role in the female advantages observed in melanoma incidence and survival. Thus, we explored the effects of testosterone and 17β-estradiol on RNASEL and miR-146a expression in LM-20 and A375 melanoma cell lines. Direct targeting of miR-146a to the 3′ untranslated region (3′UTR) of RNASEL was examined using a luciferase reporter system. Our results indicate that RNASEL is a direct target of miR-146a in both melanoma cell lines. Trough qPCR and western blot analyses, we explored the effect of miR-146a mimic transfection in the presence of each hormone either on RNASEL mRNA level or on protein expression of RNase-L, the enzyme codified by RNASEL gene. In the presence of testosterone or 17β-estradiol, miR-146a overexpression did not influence RNASEL transcript level in LM-20 cell line, but it slightly induced RNASEL mRNA level in A375 cells. Remarkably, miR-146a overexpression was able to repress the protein level of RNase-L in both LM-20 and A375 cells in the presence of each hormone, as well as to elicit high expression levels of the activated form of the extracellular signal-regulated kinases (ERK)1/2, hence confirming the pro-tumorigenic role of miR-146a overexpression in melanoma. Thereafter, we assessed if the administration of each hormone could affect the endogenous expression of RNASEL and miR-146a genes in LM-20 and A375 cell lines. Testosterone exerted no significant effect on RNASEL gene expression in both cell lines, while 17β-estradiol enhanced RNASEL transcript level at least in LM-20 melanoma cells. Conversely, miR-146a transcript augmented only in the presence of testosterone in either melanoma cell line. Importantly, each hormone acted quite the opposite regarding the RNase-L protein expression, i.e., testosterone significantly decreased RNase-L expression, whereas 17β-estradiol increased it. Overall, the data show that, in melanoma cells treated with 17β-estradiol, RNase-L expression increased likely by transcriptional induction of its gene. Testosterone, instead, decreased RNase-L expression in melanoma cell lines with a post-transcriptional mechanism in which miR-146a could play a role. In conclusion, the pro-tumor activity of androgen hormone in melanoma cells could be exacerbated by both miR-146a increase and RNase-L downregulation. These events may contribute to the worse outcome in male melanoma patients.
ECA-based generative adversarial network for multi-focus colour image fusion

In this paper, the idea of regression model is adopted to complete the fusion of multi-focus images through an end-to-end generative adversarial network (GAN). In the generator part, image features are extracted through multi-branch connection and dense connection technology. In the process of extracting high-dimensional image features, the ECA module is embedded to improve the capability of network. In the discriminator part, the idea of relative GAN is used to predict the relative authenticity between images. Due to the idea and reasonable network construction, the method proposed in this paper can obtain good results of image fusion. And the experimental results demonstrate that the one can also obtain fine results in objective evaluation, which is better than the compared algorithms.
Stability of a Light Sail Riding on a Laser Beam

The stability of a light sail riding on a laser beam is analyzed both analytically and numerically. Conical sails on Gaussian beams, which have been studied in the past, are shown to be unstable without active control or additional mechanical modifications. A new architecture for a passively stable sail-and-beam configuration is proposed. The novel spherical shell design for the sail is capable of “beam riding” without the need for active feedback control. Full three-dimensional ray-tracing simulations are performed to verify our analytical results.
The genome sequence of the wood white butterfly, Leptidea sinapis (Linnaeus, 1758)

We present a genome assembly from an individual male Leptidea sinapis (the wood white; Arthropoda; Insecta; Lepidoptera; Pieridae). The genome sequence is 686 megabases in span. The majority (99.99%) of the assembly is scaffolded into 48 chromosomal pseudomolecules, with three Z sex chromosomes assembled. Gene annotation of this assembly on Ensembl has identified 14,800 protein coding genes.
Advances in 177Lu-PSMA and 225Ac-PSMA Radionuclide Therapy for Metastatic Castration-Resistant Prostate Cancer

For patients with metastatic castration-resistant prostate cancer (mCRPC), the survival benefit of classic treatment options with chemotherapy and drugs targeting androgen signaling is limited. Therefore, beta and alpha radionuclide therapy (RNT) have emerged as novel treatment options for patients with mCRPC. Radioligands target the prostate-specific membrane antigen (PSMA) epitopes, which are upregulated up to a thousand times more in prostate cancer cells compared to the cells in normal tissues. For this reason, PSMA is an excellent target for both imaging and therapy. Over the past years, many studies have investigated the treatment effects of lutetium-177 labeled PSMA (177Lu-PSMA) and actinium-225 labeled PSMA (225Ac-PSMA) RNT in patients with mCRPC. While promising results have been achieved, this field is still in development. In this review, we have summarized and discussed the clinical data of 177Lu-PSMA and 225Ac-PSMA RNT in patients with mCRPC.
D2FO: Distributed Dynamic Offloading Mechanism for Time-Sensitive Tasks in Fog-Cloud IoT-based Systems

The Internet of Things (IoT) has grown at a rapid pace in recent years. It requires a large amount of data and massive computational resources, thus the concept of Fog Computing (FC) has emerged. FC attempts to overcome network latency by bringing computational resources closer to IoT devices. One important part of FC is an offloading mechanism to make proper decisions for better utilizing of FC node(s), especially for real-time (low latency and high throughput) applications. Generally, offloading policies are categorized as centralized and distributed. However, by growing numbers of IoT devices which leads to expansion of FC layer beyond the initial configurations, centralized scheduling solutions for time-sensitive tasks suffers from two major challenges: first, increasing complexity, and second, non-fault tolerating. In order to address these issues, scalable decentralized/distributed approaches have been developed to schedule tasks through an autonomous collaboration between a small number of nodes (neighbors). Without a thorough picture of the network or nodes’ state, it is difficult to design algorithms that make optimum decisions. This paper presents a scalable algorithm for offloading time-sensitive tasks through a semi-network aware distributed scheduling mechanism. Based on the evaluation results obtained for acceptance rate, response time, and network resource usage, the proposed method outperforms the state-of-the-art on average.