Miracle-dz/UniFAR-FTUs huggingface dataset:
Benefits of Resistance Training for High School Distance Runners

Abstract Resistance training can provide many benefits to distance runners, but is often either overlooked or not effectively incorporated into a distance runner’s practice schedule. Thus, when appropriately planned and practiced, overall distance running economy can be improved by resistance training. This paper examines the benefits of resistance training for distance running in high school athletes to improve running experiences and competitive performances.
Developmental hearing loss-induced perceptual deficits are rescued by cortical expression of GABAB receptors

Even transient periods of developmental hearing loss during the developmental critical period have been linked to long-lasting deficits in auditory perception, including temporal and spectral processing, which correlate with speech perception and educational attainment. In gerbils, hearing loss-induced perceptual deficits are correlated with a reduction of both ionotropic GABAA and metabotropic GABAB receptor-mediated synaptic inhibition in auditory cortex, but most research on critical period plasticity has focused on GABAA receptors. We developed viral vectors to express both endogenous GABAA or GABAB receptor subunits in auditory cortex and tested their capacity to restore perception of temporal and spectral auditory cues following critical period hearing loss in the Mongolian gerbil. HL significantly impaired perception of both temporal and spectral auditory cues. While both vectors similarly increased IPSCs in auditory cortex, only overexpression of GABAB receptors improved perceptual thresholds after HL to be similar to those of animals without developmental hearing loss. These findings identify the GABAB receptor as an important regulator of sensory perception in cortex and point to potential therapeutic targets for developmental sensory disorders. Significance Statement Hearing loss in children can induce deficits in aural communication that persevere even after audibility has returned to normal, suggesting permanent changes to the auditory central nervous system. In fact, a reduction in cortical synaptic inhibition has been implicated in a broad range of developmental disorders, including hearing loss. Here, we tested the hypothesis that developmental hearing loss-induced perceptual impairments in gerbils are caused by a permanent reduction of auditory cortical inhibitory synapse strength. We found that virally-mediated expression of a GABAB receptor subunit in gerbil auditory cortex was able to restore two auditory perceptual skills in juvenile animals reared with hearing loss, suggesting that cortical synaptic inhibition is a plausible therapeutic target for sensory processing disorders.
Evolutionary transcriptomics reveals longevity mostly driven by polygenic and indirect selection in mammals

The maximum lifespan varies more than 100-fold in mammals. This experiment of nature may uncover of the evolutionary forces and molecular features that define longevity. To understand the relationship between gene expression variation and maximum lifespan, we carried out a comparative transcriptomics analysis of liver, kidney, and brain tissues of 106 mammalian species. We found that expression is largely conserved and very limited genes exhibit common expression patterns with longevity in all the three organs analyzed. However, many pathways, e.g., “Insulin signaling pathway”, and “FoxO signaling pathway”, show accumulated correlations with maximum lifespan across mammals. Analyses of selection features further reveal that methionine restriction related genes whose expressions associated with longevity, are under strong selection in long-lived mammals, suggesting that a common approach could be utilized by natural selection and artificial intervention to control lifespan. These results suggest that natural lifespan regulation via gene expression is likely to be driven through polygenic model and indirect selection.
Analysis of the high-speed jet in a liquid-ring pump ejector using a proper orthogonal decomposition method

ABSTRACT To analyze the complex spatiotemporal evolution law of the high-speed jet flow field in a liquid-ring pump ejector, both the classic and spectral proper orthogonal decomposition (SPOD) methods were introduced to decompose the transient flow field based on the numerical large eddy simulation. The proper orthogonal decomposition (POD) reduced order model (ROM) of the complex flow in the ejector was established to analyze the transient characteristics and reconstruct the flow field. The spatial mode characteristics of density, pressure and vorticity field, and the frequency domain characteristics of mode coefficients were analyzed. The results show that the spatiotemporal decoupling analysis of a high-speed jet flow field can be accomplished by the POD and SPOD methods. A large-scale symmetric coherent structure is formed in the shear layer of the first two modes of vorticity, and a small-scale antisymmetric structure is formed at the trailing edge of the jet flow for the third and fourth modes. This reflects the evolutionary characteristics of the jet shear vortex. There is a significant spatial correlation between the density and pressure modes, reflecting that the evolution of the two structures has important correlation characteristics. The spectral analysis of the mode coefficients shows that the dominant frequencies of 1250 Hz and 18 kHz correspond to the self-excited oscillation frequency of shock waves and the vortex shedding frequency. The POD-ROM can reconstruct the high-speed flow field of the ejector with enough accuracy using the first 30-order modes, and the root mean square error and mean absolute percentage error for the velocity prediction are 0.48% and 0.24%, respectively.
Dynamic Behavior for an SIRS Model with Nonlinear Incidence Rate

An SIRS epidemic model with nonlinear incidence rate is studied. It is assumed that susceptible and infectious individuals have constant immigration rates. By means of Dulac function and Poincare-Bendixson Theorem, we proved the global asymptotical stable results of the disease-free equilibrium. It is then obtained the model undergoes Hopf bifurcation and existence of one limit cycle. Some numerical simulations are given to illustrate the analytical results.
Ultraschallgeräte für die abdominelle Diagnostik: neue Techniken und Applikationen – Was gibt es? Was ist möglich? Was ist sinnvoll?

Zusammenfassung Die Ultraschalldiagnostik ist in vielen klinischen Situationen das Verfahren der ersten Wahl für die abdominelle Bildgebung. Neben dem Graustufenbild (B-Modus) und den klassischen Dopplerverfahren ermöglichen die kontrastmittelverstärkte Sonografie (CEUS), die Elastografie und die Fettquantifizierung eine multimodale Charakterisierung von Organen und Gewebestrukturen. Panorama- und 3D-Verfahren sowie Bildfusion haben die Befunddarstellung erweitert. Die Entwicklung tragbarer Kleingeräte führt zu einer Erweiterung der Einsatzmöglichkeiten der konventionellen Ultraschalldiagnostik. In dieser Übersichtsarbeit werden moderne sonografisch relevante Verfahren diskutiert sowie Geräteklassen und Stufenkonzepte beschrieben und anhand der wissenschaftlichen Evidenz bewertet. Ferner werden Hinweise zu Qualitätsstandards für die abdominelle Ultraschalldiagnostik vermittelt.
Multi Micronutrient Supplement (MMS) Is Effective In Increasing Ferritin Levels In Female Adolescents In Gianyar Regency, Bali Province

Based on Riskesdas, 2018 shows that the prevalence of anemia in women of childbearing age (WUS) in Indonesia is 23.7% with anemia sufferers aged 5-14 years of 26.8%, anemia sufferers aged 15-24 years of 32.0%, anemia sufferers aged 25- 34 years of 15.1% and anemia sufferers aged 35-44 years of 16.7%. The prevalence of anemia in women of childbearing age (WUS) in Bali based on the 2013 Riskesdas results was 10.8 % . The World Health Organization (WHO) targets to reduce anemia by 50 percent by 2025 in women of reproductive age (WUS) aged 15-49 years. In Bali, research on the prevalence of anemia in adolescents, to the best of the knowledge of the authors, is still very minimal. According to the results of the study showed that 11.4 % of subjects experienced anemia. Subjects with energy and protein intake were in the less category, namely 37.1 % and 50%. The subject's intake of vitamins and micronutrients was still lacking, namely vitamin B2 of 72.9%, zinc 68.6%, iron 92.9%, and folic acid 90% and most of the subjects (68.6%) intake of vitamin C was included in the category good. This research is an epidemiological study of community nutrition conducted in Gianyar Regency, Bali Province from the first year from March to October 2021 and the second year from March to October 2022. The first year research method used a community trial with a Cross Sectional design with a sample size of 168 samples. The second year with a different subject design with a sample size of 86 samples consisting of 43 control groups and 43 treatment groups. Giving iron folate is effective in increasing hemoglobin levels and giving Multi Micronutrient Supplement (MMS) is effective in increasing ferritin levels in female adolescents in Gianyar Regency, Bali Province.
Film Cooling Predictions of Simple and Compound Angle Injection from One and Two Staggered Rows

Typical film-cooling configurations of flat plates from one and two staggered rows of simple and compound angle injection holes are investigated using a three-dimensional finite volume method and a multiblock technique, which reduces significantly the core memory needed for the computations and gives more freedom in the generation of the grids. The computational method uses arbitrary curvilinear, body-fitted, multiblock, structured, non-staggered grids. The turbulence is approximated by a standard κ–∊ model with wall functions. The accuracy of the code is improved by using a second-order-bounded scheme for convection terms for all equations including the κ and ∊ turbulence model equations. The influence of number of rows and injection angles as well as the blowing ratio on the film cooling protection has been investigated and compared with experimental data. Comparison between predicted and experimental results indicates that the trends of the streamwise mean velocity and thermal fields are well predicted in most cases. However, the spanwise-averaged film cooling effectiveness is globally underpredicted by the code, probably because of the limited capability of the turbulence model used. Good agreement is obtained between the predictions and measurements made downstream of two rows of compound angle injection.
Three-dimensional two-photon laser fabrication for metals, polymers, and magneto-optical materials

The three-dimensional (3D) two-photon laser fabrication techniques for metal, polymer, and magneto-optical structures are presented. Two-photon-induced reduction of metal complex ions was developed to create 3D metal micro/nano structures. Owing to the inhibition of unwanted growth of metal nano crystals using surfactant molecules, we have successfully improved the spatial resolution of fabricated metal structures down to 100 nm in linewidth. Arbitrary shaped 3D silver structures with high electric conductivity were fabricated. Two-photon-induced photopolymerization technique has been applied for the photonic wire bonding. We have demonstrated the optical interconnection of III-V based DFB lasers and photo detectors by polymer wires with optical coupling loss less than 0.3dB. We also applied two-photon laser irradiation technique for the modification of the magnetic properties of cerium-substituted yttrium iron garnet crystal (CexY3-xFe5O12: Ce:YIG). A Ce:YIG layer was epitaxially-grown on a monomagnetic garnet (<111>-SGGG) substrate. 3D fs laser scanning in the Ce:YIG layer creates the micrometer patterns of both refractive index and magnetic properties change of the crystal. We demonstrated the micro/nanometer scale patterning of both optical and magnetic properties in the Ce:YIG crystal.
DYNAMIC INSTABILITY OF TWO-DIMENSIONAL NONDIVERGENT FLOW IN A BAROTROPIC ATMOSPHERE

Abstract In discussing wave motions along a strong jet of westerlies, we can no longer neglect the variation of west wind with latitude, and therefore must consider the possibility of having a phase velocity whose value is between the maximum and minimum west-wind velocities. The study of wave motions is thus extended from the very long and slowly moving or retrograding waves into the realm of ordinary waves and cyclone waves and it is found that, for nondivergent barotropic motion, the condition for the presence of neutral and amplified waves with a phase velocity whose value is between the maximum and minimum wind velocity in the belt is the existence of critical points where the absolute vorticity has an extreme value. If no such point exists, then all perturbations must be damped. When this condition is satisfied, both amplified (unstable) and neutral waves can be expected. The wave moving with a velocity equal to the current velocity at the critical point is neutral while those with a velocity less t.
IDENTIFICATION OF TIRE RUBBER FEASIBILITY WITH CNN RESNET-50 MODEL IDENTIFIKASI KELAYAKAN KARET BAN DENGAN MODEL CNN RESNET-50

: In this study, the authors designed an algorithm based on a convolutional neural network that is capable of automatically classifying tire rubber eligibility according to the appearance of the tire on the tire image. The proposed algorithm will be built through several stages as follows. In the first stage, tire image acquisition will be carried out which will be the input of the designed algorithm. Furthermore, the acquired image will be divided into two sets, namely training and testing sets. The training set contains tire images that will be used at the training stage of several convolutional neural network architectures to be able to and classify them to the appropriate level of feasibility. The training phase will be carried out in a number of epohs, and at each epoh, the cross entropy loss function value will be calculated which expresses the performance of the convolutional neural network architecture in classifying tire images. In this study, the author has designed an algorithm based on deep learning that is capable of automatically classifying tire eligibility. The proposed algorithm has been built through several stages such as tire image acquisition, training of several CNN models, especially ResNet-50. The CNN architecture test is trained to classify tire images from the test set. In addition, the accuracy value has also been calculated which shows the percentage of the number of tire images that are successfully classified correctly to the total number of tire images in the test set, which is an accuracy of 88.31%.
Association of screen exposure with psychosocial problems in primary school students

Introduction This study aimed to investigate the current status of screen exposure and the factors related to screen exposure in primary school students and explore the relationship between screen exposure and psychosocial problems, which may provide evidence for the scientific use of electronic products and psychological interventions used in these children. Methods The parents of 811 primary school students aged 6–12 years received a questionnaire survey in Beijing between January 13 and January 16, 2022. The demographic data and daily screen exposure time were collected, and the Strengths and Difficulties Questionnaire (SDQ) about their children was administered online. Results In 793 students, the average daily screen exposure of <2 h and ≥2 h was noted in 75.0% and 25% of patients, respectively. The mobile phone was the main medium for screen exposure (40.9%). The family’s economic level, parental relationship, and main supervisor were related to screen exposure time (χ2 = 44.8,14.5 and 12.4, P < 0.05). A low family economic level with a monthly income not meeting the basic living needs, poor parental relationship, and an elderly person responsible for supervision were related to increased screen exposure time. The abnormal emotional and behavioral symptoms, conduct problems, hyperactivity inattention, peer communication, prosocial behaviors, and a total difficulties score were found in 11.6%, 9.8%, 15.3%, 22.1%, 6.8%, and 13.4% of children, respectively. Excessive screen exposure was related to peer interaction and prosocial behaviors (χ2 = 12.18 and 7.76, P < 0.05). The children with excessive screen exposure were more likely to have abnormal peer interaction (χ2 = 12.09, P = 0.001) and prosocial behaviors (χ2 = 7.76, P = 0.005). Excessive screen exposure was a risk factor for peer interaction problems (P < 0.05). Discussion In conclusion, the detection rate of excessive screen exposure is higher in primary school students, which is related to the family’s economic level, parental relationship, and main supervisor. Excessive screen exposure is harmful to the psychosocial health of these children, which is characterized by abnormal peer intercommunion and prosocial behaviors. More attention should be paid to screen exposure time in primary school students.
Machine learning in biosignals processing for mental health: A narrative review

Machine Learning (ML) offers unique and powerful tools for mental health practitioners to improve evidence-based psychological interventions and diagnoses. Indeed, by detecting and analyzing different biosignals, it is possible to differentiate between typical and atypical functioning and to achieve a high level of personalization across all phases of mental health care. This narrative review is aimed at presenting a comprehensive overview of how ML algorithms can be used to infer the psychological states from biosignals. After that, key examples of how they can be used in mental health clinical activity and research are illustrated. A description of the biosignals typically used to infer cognitive and emotional correlates (e.g., EEG and ECG), will be provided, alongside their application in Diagnostic Precision Medicine, Affective Computing, and brain–computer Interfaces. The contents will then focus on challenges and research questions related to ML applied to mental health and biosignals analysis, pointing out the advantages and possible drawbacks connected to the widespread application of AI in the medical/mental health fields. The integration of mental health research and ML data science will facilitate the transition to personalized and effective medicine, and, to do so, it is important that researchers from psychological/ medical disciplines/health care professionals and data scientists all share a common background and vision of the current research.
Editorial: Circadian biology, cardiovascular function and disease

Cardiovascular disease (CVD) are complex multi-factorial disorders that constitutes the leading cause of morbidity and mortality worldwide (Roth et al., 2020). Homeostatic heart function depends on several key physiological parameters such as cardiac contractility, metabolic state and overall effective hemodynamic regulation of the body (Verbrugge et al., 2020). Mammalian circadian (~24 h) clocks are ubiquitous autoregulatory molecular interactive transcriptional/translational feedback loops that precisely drive diverse daily physiological processes. Centrally, the suprachiasmatic nucleus (SCN) in the brain respond to light entrainment, and act as a pacemaker of the circadian timing in the body. At a molecular level, each cell possesses clock genes which are regulated by a variety of SCN-derived periodical stimulants and act as peripheral clocks. Heterodimers of central clock factors (CLOCK and BMAL1) bind to E-boxes within diverse target gene promoters including the clock genes Per and Cry. PER and CRY then dimerize and repress their own transcription by inhibiting CLOCK:BMAL1. CLOCK:BMAL1 also induce the expression of REV-ERBα, which represses Bmal1 transcription (Takahashi, 2017). The precise orchestration of this interlocking feedback loop regulates many fundamental aspects of cardiovascular processes such as daily rhythms in blood pressure and heart rate, electrophysiology, cardiac metabolism and contractility, endothelial cell biology, platelet aggregation, and thrombus formation are also influenced by the local intrinsic circadian clock. Circadian misalignment or clock dysfunction can lead to diverse cardiovascular diseases such as cardiac arrhythmias, cardiomyopathy and diabetes (Martino and Young, 2015; Alibhai et al., 2017; Thosar et al., 2018; Chellappa et al., 2019; Crnko et al., 2019; Rana et al., 2020). The occurrence of adverse cardiovascular events such as acute heart failure, myocardial infarction, stroke, and cardiac arrhythmias, also exhibits a daily variation with prevalence in the early morning hours (Cohen et al., 1997). The purpose of this Research Topic is to highlight the impact of the circadian axis on the regulation of cardiac function and disease, including its interaction with feeding behaviour, electrophysiology, pathogenesis of cardiac disease and mechanisms of cardio-protection and repair. Schroder and Delisle reviewed the impact of feeding behaviour on circadian cardiac physiology. Restricted feeding studies have been used to disentangle the interconnections between the cellular circadian clocks, physiological circadian rhythms (such as change in heart OPEN ACCESS
Editorial: Sex differences in cerebrovascular diseases

COPYRIGHT © 2023 Kremer, Lorenzano and Kruuse. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Editorial: Sex di erences in cerebrovascular diseases
Multi-omics approach reveals the contribution of OsSEH1 to rice cold tolerance

As low environmental temperature adversely affects the growth, development and geographical distribution, plants have evolved multiple mechanisms involving changing physiological and metabolic processes to adapt to cold stress. In this study, we revealed that nucleoporin-coding gene OsSEH1 was a positive regulator of cold stress in rice. Physiological assays showed that the activity of antioxidant enzymes showed a significant difference between osseh1 knock-out lines and wild type under cold stress. Metabolome analysis revealed that the contents of large-scale flavonoids serving as ROS scavengers were lower in osseh1 mutants compared with wild type under cold stress. Transcriptome analysis indicated that the DEGs between osseh1 knock-out lines and wild type plants were enriched in defense response, regulation of hormone levels and oxidation-reduction process. Integration of transcriptomic and metabolic profiling revealed that OsSEH1 plays a role in the oxidation-reduction process by coordinately regulating genes expression and metabolite accumulation involved in phenylpropanoid and flavonoid biosynthetic pathway. In addition, Exogenous ABA application assays indicated that osseh1 lines had hypersensitive phenotypes compared with wild type plants, suggesting that OsSEH1 may mediate cold tolerance by regulating ABA levels.