Miracle-dz/UniFAR-FTUs huggingface dataset:
Long-Term Effect of Exercise on Irisin Blood Levels—Systematic Review and Meta-Analysis

Physical exercise may activate a number of important biochemical processes in the human body. The aim of this systematic review and meta-analysis was to identify the long-term effect of physical activity on irisin blood levels. We searched PubMed, Scopus, and Web of Science for articles addressing the long-term effect of physical exercise on irisin blood levels. Fifty-nine articles were included in the final qualitative and quantitative syntheses. A statistically significant within-group effect of exercise on irisin blood levels was in 33 studies; out of them, the irisin level increased 23× and decreased 10×. The significant positive between-groups effect was found 11×. Furthermore, the meta-analysis indicated that physical exercise had a significant positive effect on irisin blood levels (SMD = 0.39 (95% CI 0.27–0.52)). Nevertheless, considerably high heterogeneity was found in all the analyses. This systematic review and meta-analysis indicate that physical exercise might increase irisin blood levels; however, the results of individual studies were considerably inconsistent, which questions the methodological detection of irisin by ELISA kits.
Intervention for a Digital, Cognitive, Multi-Domain Alzheimer Risk Velocity Study: Protocol for a Randomized Controlled Trial

Background In the United States, more than 6 million adults live with Alzheimer disease (AD) that affects 1 out of every 3 older adults. Although there is no cure for AD currently, lifestyle-based interventions aimed at slowing the rate of cognitive decline or delaying the onset of AD have shown promising results. However, most studies primarily focus on older adults (>55 years) and use in-person interventions. Objective The aim of this study is to determine the effects of a 2-year digital lifestyle intervention on AD risk among at-risk middle-aged and older adults (45-75 years) compared with a health education control. Methods The lifestyle intervention consists of a digitally delivered, personalized health coaching program that directly targets the modifiable risk factors for AD. The primary outcome measure is AD risk as determined by the Australian National University-Alzheimer Disease Risk Index; secondary outcome measures are functional fitness, blood biomarkers (inflammation, glucose, cholesterol, and triglycerides), and cognitive function (Repeatable Battery for the Assessment of Neuropsychological Status and Neurotrack Cognitive Battery). Screening commenced in January 2021 and was completed in June 2021. Results Baseline characteristics indicate no difference between the intervention and control groups for AD risk (mean −1.68, SD 7.31; P=.90). Conclusions The intervention in the Digital, Cognitive, Multi-domain Alzheimer Risk Velocity is uniquely designed to reduce the risk of AD through a web-based health coaching experience that addresses the modifiable lifestyle-based risk factors. Trial Registration ClinicalTrials.gov NCT04559789; https://clinicaltrials.gov/show/NCT04559789 International Registered Report Identifier (IRRID) DERR1-10.2196/31841
Effective Removal of Azo Dye Reactive Blue 222 from Aqueous Solutions Using Modified Magnetic Nanoparticles with Sodium Alginate/Hydrogen Peroxide

The present work aimed to study the removal efficiency of Reactive Blue 222 (RB222) from aqueous solutions by applying a combined process with magnetic sodium alginate beads/H2O2. The effect of various operating parameters including sodium alginate dosage, H2O2 concentration, pH, and dye concentration on the efficiency of the process was investigated. The Freundlich and Langmuir isotherms were used to explain the adsorption process. Adsorption kinetics of RB222 with magnetic sodium alginate beads were also investigated using the pseudo‐first‐, second‐order, and intra‐particle diffusion kinetic models. Optimum conditions for dye removal were determined at [dye concentration] = 50 mg/L, [H2O2] = 250 mg/L, and [pH] = 3 with a reaction time of 180 min. Dye removal percentages obtained in this research were 54.51% and 90.39% using magnetic sodium alginate and magnetic sodium alginate/H2O2 processes, respectively. SEM and XRD were used for the characterization of the obtained magnetic sodium alginate beads. It was revealed that the adsorption of the dye in sodium alginate beads was more consistent with the Freundlich model (R2 = 0.9934) compared to that of the Langmuir model (R2 = 0.7457). Also, the results demonstrated that the adsorption of RB222 in magnetic alginate beads was consistent with the pseudo‐second‐order kinetic models (R2 = 0.9854). © 2018 American Institute of Chemical Engineers Environ Prog, 38: S205–S213, 2019
Machine Learning Analysis Reveals Abnormal Static and Dynamic Low-Frequency Oscillations Indicative of Long-Term Menstrual Pain in Primary Dysmenorrhea Patients

Background Previous neuroimaging studies demonstrated that patients with primary dysmenorrhea (PD) exhibited dysfunctional resting-state brain activity. However, alterations of dynamic brain activity in PD patients have not been fully characterized. Purpose Our study aimed to assess the effect of long-term menstrual pain on changes in static and dynamic neural activity in PD patients. Material and Methods Twenty-eight PD patients and 28 healthy controls (HCs) underwent resting-state magnetic resonance imaging scans. The amplitude of low-frequency fluctuations (ALFF) and dynamic ALFF was used as classification features in a machine learning approach involving a support vector machine (SVM) classifier. Results Compared with the HC group, PD patients showed significantly increased ALFF values in the right cerebellum_crus2, right rectus, left supplementary motor area, right superior frontal gyrus, right supplementary motor area, and left superior frontal medial gyrus. Additionally, PD patients showed significantly decreased ALFF values in the right middle temporal gyrus and left thalamus. PD patients also showed significantly increased dALFF values in the right fusiform, Vermis_10, right middle temporal gyrus, right putamen, right insula, left thalamus, right precentral gyrus, and right postcentral gyrus. Based on ALFF and dALFF values, the SVM classifier achieved respective overall accuracies of 96.36% and 85.45% and respective areas under the curve of 1.0 and 0.95. Conclusion PD patients demonstrated abnormal static and dynamic brain activities that involved the default mode network, sensorimotor network, and pain-related subcortical nuclei. Moreover, ALFF and dALFF may offer sensitive biomarkers for distinguishing patients with PD from HCs.
Droplet Ejection and Liquid Jetting by Visible Laser Irradiation in Pyro‐Photovoltaic Fe‐Doped LiNbO3 Platforms

Controlling liquid dispensing and jetting from a reservoir drop or a liquid film require strong electric fields. One efficient method proposed some years ago is based on the high pyroelectric‐electrohydrodynamic (EHD) effect presented by lithium niobate when it undergoes a high temperature change. Additionally, first experiments generating droplets using the photovoltaic effect of Fe‐doped lithium niobate crystal (LiNbO3:Fe) have been recently reported. Here, it is shown how the excitation of the photovoltaic and pyroelectric effects of LiNbO3:Fe by visible light irradiation allows droplet dispensing and jetting. A basic characterization of the process, including the important role of the excitation light intensity, is reported. The experimental investigation demonstrates that efficient droplet ejection and liquid jetting can be easily achieved in different optical configurations and with various liquid solutions (water, alcohol, aqueous suspension of particles or polymers). This new explored method is analyzed by discussing some of its intrinsic and attractive advantages, namely the flexible and versatile control offered by light excitation and the activation of the photovoltaic and pyroelectric effects. The results let us to foresee that this strategy will have very good chances to become a viable inkjet printing method for addressing new challenges in directed liquid dispensing and patterning.
Interference of Bony Light Crude Oil (BLCO) Contaminated Feed on Cellular Status and Oxidative Stress Markers in Ratâ€™s Heart Homogenates.

The impact of crude oil mixed meal on cellular status and oxidative stress markers in rat’s heart homogenates was studied. 35 Wistar rats of similar weight were randomly divided into 7 groups as follows; Group 1 control (normal chow), Group 2 (Treated with 3.88g/kg crude oil mixed meal), Group 3 (Treated with 7.75g/kg crude oil mixed meal), Group 4 (Treated with 15.51g/kg crude oil mixed meal), Group 5 (Treated with 32.01g/kg crude oil mixed meal), Group 6 (Treated with 62.02g/kg crude oil mixed meal), and Group 7 (myocardial infarct-induced group). Treatments in various groups were administered for 8 weeks (exposure period) and were later withdrawn for 2 weeks (withdrawal period). 5 ml of blood was taken from all groups via cardiac puncture in both phases for analysis for electrolytes estimations, haematological parameters, lipid profiles, and liver enzyme assay. Heart tissues were taken and homogenized and prepared for cardiac oxidative stress markers analysis, were extrapolated and calculated. Results from various laboratory analyses were statistically analysed using ANOVA (SPSS) and presented in tables and charts with level of significance at P ≤0.05. Haematological indices, electrolytes liver enzymes profile, lipid parameters and oxidative stress markers all presented marked increase during the exposure phase of six weeks. In the withdrawal phase, virtually all the above measured parameters were reversed and the corresponding biological effects ameliorated. The implications of the above extrapolates in both phases indicated that crude oil exposure could trigger, electrolyte imbalance, cellular disruptions, liver assault, and can be highly detrimental and delirious to cells while withdrawal from the contaminated meal was observed to reversed the entire scenarios. In conclusion, crude oil contaminated feed on cardiovascular integrity and risk factors could be a huge challenge and a potent pre-disposing scenario to various debilitating diseases of the heart on prolonged exposure.
Massive MIMO Codebook Design Using Gaussian Mixture Model Based Clustering

The codebook design is the most essential core technique in constrained feedback massive multi-input multi-output (MIMO) system communications. MIMO vectors have been generally isotropic or evenly distributed in traditional codebook designs. In this paper, Gaussian mixture model (GMM) based clustering codebook design is proposed, which is inspired by the strong classification and analytical abilities of clustering techniques. Huge quantities of channel state information (CSI) are initially saved as entry data of the clustering process. Further, split into N number of clusters based on the shortest distance. The centroids part of clustering has been utilized for constructing a codebook with statistic channel information, with an average distance that is the shortest towards the true channel data. The enhanced GMM based clustering codebook design outperforms traditional methods, particularly in the situations of non-uniform distribution of channels as demonstrated via simulation results which match theoretical analyses concerning achievable rate. The proposed GMM based clustering codebook design is compared with DFT-based clustering codebook design and k-means based clustering codebook design.
Dynamics of Tumor-Immune System with Random Noise

With deterministic differential equations, we can understand the dynamics of tumor-immune interactions. Cancer-immune interactions can, however, be greatly disrupted by random factors, such as physiological rhythms, environmental factors, and cell-to-cell communication. The present study introduces a stochastic differential model in infectious diseases and immunology of the dynamics of a tumor-immune system with random noise. Stationary ergodic distribution of positive solutions to the system is investigated in which the solution fluctuates around the equilibrium of the deterministic case and causes the disease to persist stochastically. In some conditions, it may be possible to attain infection-free status, where diseases die out exponentially with a probability of one. Some numerical simulations are conducted with the Euler–Maruyama scheme in order to verify the results. White noise intensity is a key factor in treating infectious diseases.
Blood cell count and morphology, and vitamin B12 concentration in pre- and post-weaned calves

Haematological indicators may resent physiological variation by age. Vitamin B12 promotes haematopoiesis. The aims of this study were: 1) to compare the values of the haematological variables and the concentration of vitamin B12 in pre- or post-weaned veal calves and 2) to identify the possible association between the values of the haematological variables and the concentration of B12 in the blood of veal calves. Blood was collected on the same day from 31 pre-weaned and 31 weaned calves of the Limousine breed from the same farm. The complete blood count, including the blood cell morphology evaluation, was performed and the serum B12, total protein and albumin concentrations were determined. The serum concentration of vitamin B12, the haematocrit (HCT), the haemoglobin concentration (HGB), the platelet count and the lymphocyte count were significantly higher in the weaned calves. A very strong positive correlation was found between the concentration of the vitamin B12 and HCT and HGB before weaning, while these correlations were moderately positive following weaning and in the total population tested as well. The observed variation in the blood cell count and morphology, such as poikilocytosis and the presence of macrocytes and hypersegmented neutrophils, along with the age of the animal seem to be related to the vitamin B12 concentration.
Prevalent sex ratio bias in Caenorhabditis nematodes

Although equal sex ratio represents an equilibrium in evolutionary theory, cases of sex ratio bias are accumulating, mostly reported in single species. Here, we surveyed progeny sex ratios in 23 species of the nematode genus Caenorhabditis. In experiments where males and females had unlimited access to each other (unlimited mating), we found 15 species out of the 23 species had female(hermaphrodite)-biased sex ratios. Phylogenetic mapping indicates female-bias to represent the ancestral state, with the occurrence of seven independent transitions from female-bias to non-bias along the phylogeny. As sperm competition could underlie the female bias, we also assayed progeny sex ratios in an experiment where mating was limited to a few hours. Of the 15 species that showed female-biased ratios under unlimited mating, six species showed no sex ratio bias when mating was limited. This result is consistent with sperm competition whereby X-bearing sperm take precedence over nullo-X during fertilization, yielding more female progeny when sperm are unlimited but equal sex ratio when sperm are limited. The other nine species showed sex ratio bias in both experiments, but the day-by-day profiles suggest sperm competition may also play a role. Our study shows that sex ratio evolution within Caenorhabditis nematodes is dynamic and that sex ratio bias is common not only in parasites as previously found but also in free-living nematodes. Our results also suggest that sperm competition could be a mechanism underlying sex ratio bias.
Multifunctional Wearable System that Integrates Sweat‐Based Sensing and Vital‐Sign Monitoring to Estimate Pre‐/Post‐Exercise Glucose Levels

Wearable bioelectronic technologies have made significant progresses in personalized health management through non‐invasive monitoring of health indicators. However, current wearable systems cannot measure biochemical information and physiological signals simultaneously, which limits integrated data analysis and their widespread clinical applications. Here, an integrated multifunctional wearable health management system composed of a disposable sweat‐based glucose sensing strip and a wearable smart band is reported. The integrated system with control software electrochemically analyzes sweat glucose levels and continuously monitors vital signs (i.e., heart rate, blood oxygen saturation level, and physical activity). Different sweat collecting sites and sweat generation methods are tested in short‐ and long‐term studies with multiple human subjects by using the developed wearable system, leading to optimized protocols for health monitoring. By combining sweat glucose data and physiological monitoring data, pre‐ and post‐exercise blood glucose levels and blood glucose changes resulting from physical activities are reliably estimated, providing key information for preventing hypoglycemic shock during intense exercise. The integrated wearable system offers a novel comprehensive personalized health management strategy through combined analysis of key metabolic and physiological health indicators.
Transmodalising pedagogy: Developing STEM disciplinary literacy for young emergent bilingual learners

ABSTRACT This paper explores how transmodalising pedagogy contributes to equitable STEM literacy education for emergent bilingual learners (EBLs). Attending to the urgent call for serving linguistically and culturally diverse learners in STEM classrooms and informed by the supporting theories and practices of transmodalising pedagogy, this paper provides a repertoire of transmodalising pedagogy to support elementary school EBLs’ STEM disciplinary content and literacy learning. Particularly, this paper shares two elementary teachers’ lessons in mathematics and science classrooms to showcase how transmodalising disciplinary literacy instruction for young EBLs can afford equitable access to STEM curriculum while engaging EBLs in disciplinary discourse practices.
Association between Parents’ Perceptions of Preschool Children’s Weight, Feeding Practices and Children’s Dietary Patterns: A Cross-Sectional Study in China

Parental perception of children’s weight may influence parents’ feeding practices, and in turn, child dietary intake and weight status; however, there is limited evidence generated for preschoolers. The aim of this cross-sectional study was to investigate associations between Chinese parents’ perceptions of child weight, feeding practices and preschoolers’ dietary patterns. Participants (1616 parent-child pairs) were recruited from six kindergartens in Hunan, China. Parents’ misperception, concern, and dissatisfaction on child weight were collected through a self-administered caregiver questionnaire. Parental feeding practices and children’s dietary intake were, respectively, assessed using the Child Feeding Questionnaire and a Food Frequency Questionnaire. Linear regression models were applied to analyze associations between parental weight perceptions, feeding practices, and preschooler’s dietary patterns. Associations between parents’ weight perceptions and dietary patterns were significant only among underweight children. Regardless of child weight status, parental weight underestimation and preference for a heavier child were positively associated with pressure-to-eat. Parental weight concern was positively associated with restriction in normal weight child, but this was not found in other weight groups. In conclusion, Parents’ misperception, concern, and dissatisfaction about child weight are associated with parents’ feeding practices and may influence preschoolers’ dietary quality, but the relationships vary by children’s actual weight status.
Metric Information Matrix for Maximum Mean Discrepancy for Domain Adaptation

In this paper, we focus the problem of unsupervised domain adaptation which transfers knowledge from a well-labeled source domain to an unlabeled target domain with distinctive distributions. Based on Gromov-Hausdorff’s theory, we proposed two kinds of feature mappings in the model of joint distribution adaptation by embedding the original feature subspace to a common subspace. It can been seen as a part of feature embedding used for the models based feature alignment. Our experiments show that constructed mappings have the abilities to alleviate the feature discrepancy and mitigate the distribution shift between source domain and target domains.
Matrix complexity effect on platinum group metals analysis using inductively coupled plasma optical emission spectrometry

Recent global actions to mitigate climate change have sparked the development of critical green technologies that rely on strategic materials with unique properties. Examples include Platinum Group Metals (PGMs) that are in increasingly high demand in the manufacturing of green catalysts, but facing supply uncertainty. For tackling the sustainability challenges associated with PGMs supply, activities have been initiated to mine these elements from low-grade ores and postconsumer automotive catalytic converters. However, such sources are highly concentrated with other elements, such as iron, aluminum, and silicon, causing analytical interferences during PGM quantitative analyses, making the measurements unreliable. Here, we performed a systematic investigation to determine the effect of matrix complexity in terms of analyte concentration, number of interferents, concentration of interferents, and identity of interferents on the measurement performance of nine emission lines of PGMs, when inductively coupled plasma optical emission spectrometry (ICP-OES) is utilized. Results indicate that depending on the combination of parameters, the concentration of all PGMs, except for osmium, is underestimated when the matrix contains Fe, Ca, Mn, Cr, Mg, Al, Si, Pb, and Cu. This observation is attributed to spectral interferences and inter-element effects, caused by ionization and chemical interferences. The distinctive behavior of osmium is attributed to the memory effect because of its high volatility and stickiness in the nitrate media. Statistical analyses were utilized to evaluate the coefficient of determination, error distribution, and precision of the instrument to establish a set of guidelines for selecting PGMs emission lines, depending on the matrix complexity. To highlight the practical implication of this study, NIST 2557 auto-catalyst standard was analyzed as a reference material, indicating the applicability of the developed guidelines. We expect our findings will help address some critical aspects of selecting suitable emission lines during PGMs quantifications in complex matrices, such as ores and automotive catalytic converters.