Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Dietary Factors on the Sleep of Athletically Trained Populations: A Systematic Review

Many athletic populations report poor sleep, especially during intensive training and competition periods. Recently, diet has been shown to significantly affect sleep in general populations; however, little is known about the effect diet has on the sleep of athletically trained populations. With sleep critical for optimal recovery and sports performance, this systematic review aimed to evaluate the evidence demonstrating that dietary factors influence the sleep of athletically trained populations. Four electronic databases were searched from inception to May 2022, with primary research articles included if they contained a dietary factor(s), an outcome measure of sleep or sleepiness, and participants could be identified as ‘athletically trained’. Thirty-five studies were included, with 21 studies assessed as positive quality, 13 as neutral, and one as negative. Sleep or sleepiness was measured objectively in 46% of studies (n = 16). The review showed that evening (≥5 p.m.) caffeine intakes >2 mg·kg−1 body mass decreased sleep duration and sleep efficiency, and increased sleep latency and wake after sleep onset. Evening consumption of high glycaemic index carbohydrates and protein high in tryptophan may reduce sleep latency. Although promising, more research is required before the impact of probiotics, cherry juice, and beetroot juice on the sleep of athletes can be resolved. Athletic populations experiencing sleep difficulties should be screened for caffeine use and trial dietary strategies (e.g., evening consumption of high GI carbohydrates) to improve sleep.
A Wearable Flexible Acceleration Sensor for Monitoring Human Motion

Skin-inspired flexible wearable acceleration sensors attract much attention due to their advantages of portability, personalized and comfortable experience, and potential application in healthcare monitoring, human–machine interfaces, artificial intelligence, and physical sports performance evaluation. This paper presents a flexible wearable acceleration sensor for monitoring human motion by introducing the island–bridge configuration and serpentine interconnects. Compared with traditional wearable accelerometers, the flexible accelerometer proposed in this paper improves the wearing comfort while reducing the cost of the device. Simulation and experiments under bending, stretching, and torsion conditions demonstrate that the flexible performance of the flexible acceleration sensor can meet the needs of monitoring the daily movement of the human body, and it can work normally under various conditions. The measurement accuracy of the flexible acceleration sensor is verified by comparing it with the data of the commercial acceleration sensor. The flexible acceleration sensor can measure the acceleration and the angular velocity of the human body with six degrees of freedom and recognize the gesture and motion features according to the acceleration characteristics. The presented flexible accelerometers provide great potential in recognizing the motion features that are critical for healthcare monitoring and physical sports performance evaluation.
NATIONAL INTELLECTUAL CAPITAL: A COMPARATIVE LONGITUDINAL STUDY Nacionalni intelektualni kapital – komparativna longitudinalna studija

Since its inception, the intellectual capital (IC) framework, which developed from accounting and financial perspectives, focused primarily on firm-level analysis. There have been several important attempts in the literature to take IC to the macroeconomic level. The purpose of this paper is to assess the relationship between national intellectual capital, proxied with modified National Intellectual Capital Index (NICI) introduced by Bontis [7], and the Human Development Index (HDI), which became an important alternative to the traditional single dimensional measure of a country’s development, like the gross domestic product [42]. The paper proposes a modified NICI suggested by Užienė [52]. The analysis includes panel data regression analysis for 12 countries. The dataset incorporated longitudinal data for weighted components of the NICI index for the period of 21 years (2000-2021). The results revealed that each of the elements of NICI, namely National Human Capital (NHC), National Market Capital (NMC), National Process Capital (NPC), and National Renewal Capital (NRC), exhibits significant impact on the levels of HDI in the said period. However, all elements, apart from NRC, show significant positive impact on HDI, pointing to the conclusion that these factors represent an important foundation for achieving and maintaining national competitiveness. Contrariwise, NRC was revealed to have the significant negative impact on HDI, opening the door to the question whether NRC is a real driver of national development, or just the effect of already reached development level.
Design and realisation of an efficient content based music playlist generation system

This thesis presents research in the field of content based music playlist generation. The focus is on speeding up music similarity calculations at playlist generation time. Two improvements on the current state of technology are presented. Furthermore, a study on user preferences and requirements on playlists is presented. The first step towards faster music similarity calculations considers the modelling of each song. First, a set of high-dimensional features is extracted. The features are statistically described by a Gaussian Mixture Model (GMM). The minimal required number of GMM components is estimated by a proposed algorithm for each song individually. The second improvement is a method that allows the song GMM models to be assimilated into self organizing maps. Mapping GMMs in two-dimensional self organizing networks allows song similarity calculations to be performed in two-dimensional space. This is magnitudes faster that similarity calculations on high-dimensional GMMs. The study on user preferences shows that it is not possible to have one single set of parameters that describes the preferences of all users. The most important continuity-parameter is the mood of the music. It is argued that the quality of playlists can be evaluated using genre-continuity, as genre and mood are closely related.
Microstructural design and mechanical performance of epoxy/carbon nanotube fiber composite

In this paper, carbon nanotube (CNT) fiber is chemically modified through a post-spinning process with an acid treatment and epoxy infiltration. Thermo-gravimetric analysis (TGA), FTIR, and Raman spectroscopy revealed that acid treatment reduced impurities of CNT fibers and induced the formation of carboxylic functional groups on the CNTs surface that positively affect the strength; however, some defects on the surface of the nanotubes were induced that negatively affect the elastic modulus. After the epoxy infiltration procedure, it was revealed that the pores of CNT fiber were filled with epoxy resulting in improved interfacial interaction between CNT bundles either through an interlocking of polymer chains wrapping around the tubes or even by creating covalent bonds between the carboxyl-functionalized nanotubes. Comparing the mechanical performance of epoxy/CNT fibers with and without acid treatment indicated that pre-treatment of the fibers with acid before epoxy infiltration caused a reduction in the final modulus. The modulus of epoxy/CNT fiber reaches 103 N/tex and is about 20% higher than the acid-treated counterpart. Acid treatment prior to epoxy resin infiltration generates functional groups on the CNTs surface that enhance the fiber’s strength through strong reactions between epoxy chains and CNTs. On the other hand, the structural defects on CNTs imposed by acid lead to a reduction in the elastic modulus.
The Analysis Of Character Building Values Found In Aladdin 2019 Movie

Learning media is a means of communication in conveying information, to facilitate the learning process, and improve the quality of education. movies can be used as learning media. Movies present various kinds of stories that contain values in life such as social values, educational values, and cultural values. One of the movies to choose from is Aladdin 2019 movie. Aladdin 2019 is a movie adaptation from the original animation version 1992. The Aladdin 2019 movie was directed by Guy Richie, written by John August and Guy Richie. The objective of this study is to find out the character building values in the Aladdin 2019 movie and describe the character building values represented in the movie. This study used the formulation of Kemendiknas (2010) and theory from Peterson and Seligman (2004), and perception theory by Mcelmeel (2002). The researchers used descriptive qualitative research. The subject of this study used the subtitle in the Aladdin 2019 movie. The researchers have found 9 character building values in the Aladdin 2019 movie include ,social care, responsible, creative, independent, patriotism, appreciation, communicative/friendly, love of peace, and reading interest. Based on the results of data analysis, it was found that love of peace is the most dominant character building value in the Aladdin 2019 movie.
An exotic Springer correspondence for symplectic groups

This paper is a sequel to math.RT/0601155. Let G be a complex symplectic group. In math.RT/0601155, we constructed a certain G-variety N = N_1, which we call the (1-) exotic nilpotent cone. In this paper, we study the set of G-orbits of the variety N. It turns out that the variety N gives a variant of the Springer correspondence for the Weyl group of type C, but shares a similar flavor with that of type A case. (I.e. there appears no non-trivial local system and the correspondence is bijective.) As an application, we present one sufficient condition for the bijectivity of our exotic Deligne-Langlands correspondence [K1].
Phase-Based Vibration Frequency Measurement From Videos Recorded by Unstable Cameras

Cameras can be used as noncontact sensors to measure target vibration conveniently. Recently, spatial phase-based methods have been developed to detect small vibrations with robustness to imaging noise. To deal with videos recorded by unstable cameras, this article proposes a novel phase-based method, which focuses on separating camera motions from target vibrations in the spatial domain and the temporal domain. The proposed method first builds a spatial representation based on adjacent-frame phase differences, which can maintain the optical flow continuity and subsequently lead to the removal of linear camera motions in the spatial domain. Then, the temporal vibration waveforms, which may still contain distortions caused by unstable camera and noise, are extracted. To restore the target vibration, a singular spectrum analysis is further incorporated for characterizing target vibrations and attenuating the distortions. The proposed method is evaluated in various laboratory and outdoor experiments. Compared with the state-of-the-art methods, the proposed method demonstrates substantial improvements on the vibration frequency measurement in the presence of camera motions.
Antioxidant Capacities and Enzymatic Inhibitory Effects of Different Solvent Fractions and Major Flavones from Celery Seeds Produced in Different Geographic Areas in China

To extend the application of celery (Apium graveolens L.) seeds, the antioxidant and enzymatic inhibitory activities of different fractions and their main flavones were investigated. The n-butanol fractions possessed the highest total phenolic content (TPC) and total flavonoid content (TFC) values. The n-butanol fractions from Northeast China samples exhibited the strongest free radical scavenging (DPPH IC50 = 20.27 μg/mL, ABTS IC50 = 15.11 μg/mL) and ferric reducing antioxidant power (FRAP 547.93 mg trolox (TE)/g) capacity, while those collected from Hubei China showed the optimal cupric reducing antioxidant capacity (CUPRAC) values (465.78 mg TE/g). In addition, the dichloromethane fractions from Jiangsu samples displayed a maximum Fe2+ chelating capacity (20.81 mg ethylene diamine tetraacetic acid (EDTA)/g). Enzyme level experiments indicated polyphenolic compounds might be the main hypoglycemic active components. Subsequently, the enzyme inhibitory activity of nine main flavones was evaluated. Chrysoeriol-7-O-glucoside showed better α-glucosidase inhibitory activity than others. However, apigenin showed the best inhibitory effect on α-amylases, while the presence of glycosides would reduce its inhibitory effect. This study is the first scientific report on the enzymatic inhibitory activity, molecular docking, and antioxidant capacity of celery seed constituents, providing a basis for treating or preventing oxidative stress-related diseases and hyperglycemia.
The Role of Thermokarst Lake Expansion in Altering the Microbial Community and Methane Cycling in Beiluhe Basin on Tibetan Plateau

Highlights The co-occurrence network structure of bacteria was more diverse and complex in sediment than in water, while archaea showed an opposite trend at environment under ice. Microbial diversity increased in MS and SH points, and microbial community composition and microbial network complexity were also different among four points. The diversity of functional gene mcrA and pmoA in water was positively correlated with dissolved methane concentration, and the water dissolved methane concentration was positively correlated with the diversity of functional gene mcrA but not with pmoA in sediment. The under-ice environment plays a vital role in the methane cycling of the thermokarst lake. Abstract One of the most significant environmental changes across the Tibetan Plateau (TP) is the rapid lake expansion. The expansion of thermokarst lakes affects the global biogeochemical cycles and local climate regulation by rising levels, expanding area, and increasing water volumes. Meanwhile, microbial activity contributes greatly to the biogeochemical cycle of carbon in the thermokarst lakes, including organic matter decomposition, soil formation, and mineralization. However, the impact of lake expansion on distribution patterns of microbial communities and methane cycling, especially those of water and sediment under ice, remain unknown. This hinders our ability to assess the true impact of lake expansion on ecosystem services and our ability to accurately investigate greenhouse gas emissions and consumption in thermokarst lakes. Here, we explored the patterns of microorganisms and methane cycling by investigating sediment and water samples at an oriented direction of expansion occurred from four points under ice of a mature-developed thermokarst lake on TP. In addition, the methane concentration of each water layer was examined. Microbial diversity and network complexity were different in our shallow points (MS, SH) and deep points (CE, SH). There are differences of microbial community composition among four points, resulting in the decreased relative abundances of dominant phyla, such as Firmicutes in sediment, Proteobacteria in water, Thermoplasmatota in sediment and water, and increased relative abundance of Actinobacteriota with MS and SH points. Microbial community composition involved in methane cycling also shifted, such as increases in USCγ, Methylomonas, and Methylobacter, with higher relative abundance consistent with low dissolved methane concentration in MS and SH points. There was a strong correlation between changes in microbiota characteristics and changes in water and sediment environmental factors. Together, these results show that lake expansion has an important impact on microbial diversity and methane cycling.
Insights on the practice schedule role on performance under a hierarchical system view

BACKGROUND: A theoretical background of hierarchical open systems has emerged as an alternative for explaining consistency and adaptability as complementary in the same motor skill related-structure at different levels of analysis. AIM: Based on original supporting evidence, this paper presents and discusses how an adoption of such background allows theoretical and methodological insights on the role of practice schedule on performance. METHOD: Sixteen unexperienced individuals of both sexes performed 240 trials of the golf putting task over three days. They were randomly divided into four experimental groups: CO3 (performed trials at a distance of 3.0 m from the target); CO3i (performed all trials at a distance of 3.0 m from the target with a 9º incline on the last meter of the mini-golf putting); CO4 (performed all trials at a distance of 4.0 m from the target); and, VAR (performed all trials under these conditions in a counterbalanced order). RESULTS: All groups improved the performances related to the task goal, but in a different way by considering the frequencies of golf putting in different performance zones. Results also showed that the constant groups (CO3, CO3i and CO4) modified the macrostructures in different dimensions over practice, while VAR group only altered the microstructure. CONCLUSION: The distinct effects of the practice schedules on motor skill structure formation were only inferred because of adopting the hierarchical system view. Based on this background, it was possible to speculate that each practice schedule drives differently the formation of a motor control structure.
A New Radio Detection of the Transient Bursting Source GCRT J1745–3009

GCRT J1745-3009 is a transient bursting radio source located in the direction of the Galactic center, discovered by Hyman et al. in 330 MHz VLA observations from 2002 September 30-October 1. We have searched for bursting activity from GCRT J1745-3009 in nearly all of the available 330 MHz VLA observations of the Galactic center since 1989, as well as in 2003 Giant Metrewave Radio Telescope (GMRT) observations. We report a new radio detection of the source in 330 MHz GMRT data taken on 2003 September 28. Due to sparse sampling of the observation, only a single burst, already at or passed its peak, was detected. The maximum flux density detected was ~0.5 Jy, approximately 3 times weaker than the five bursts detected in 2002. We present tentative evidence suggesting that this burst is an isolated one, but we cannot rule out additional undetected bursts that may have occurred with the same ~77 minute periodicity observed in 2002 or with a different periodicity. Assuming the peak emission was detected, the decay time of the burst, ~2 minutes, is consistent with that determined for the 2002 bursts. Based on the total time for which we have observations, we estimate that the source exhibits bursting activity roughly 9% of the time.
LWIR hyperspectral image classification based on a temperature-emissivity residual network and conditional random field model

ABSTRACT Long-wave infrared (LWIR) hyperspectral images can provide temperature and emissivity information, and have unique advantages in classification tasks, especially in the fields of minerals, vegetation, and man-made materials. However, LWIR image acquisition is greatly affected by the atmosphere, which results in obvious spectral noise. Meanwhile, field-based and aerial thermal infrared hyperspectral images are faced with problems such as spatial heterogeneity and salt-and-pepper noise, which results in the traditional spectral-based and object-oriented classification methods performing poorly in the classification task. In this paper, using the emissivity spectra and land surface temperature inversed from LWIR hyperspectral images, a classification framework based on a temperature-emissivity residual network and conditional random field model (TERN-CRF) is proposed. In this method, the residual network is designed to extract and fuse in-depth spectral and local spatial features, and the conditional random field (CRF) model incorporates the spatial-contextual information by the use of the temperature information, to improve the problem of voids and isolated regions in the classification map. To validate the performance of the proposed method, three LWIR datasets acquired by the Hyper-Cam sensor were used in the experiments: an aerial dataset and two field-based datasets of minerals and leaves. The experimental classification results obtained using the LWIR datasets confirm the performance of the proposed TERN-CRF classification method, which is shown to be superior to the traditional hyperspectral image classification methods and a CNN-based method. Furthermore, the CRF post-processing part can effectively alleviate the isolated regions in the classification map.
A Scoping Analysis of Cathelicidin in Response to Organic Dust Exposure and Related Chronic Lung Illnesses

Over two billion people worldwide are exposed to organic dust, which can cause respiratory disorders. The discovery of the cathelicidin peptide provides novel insights into the lung’s response to organic dust; however, its role in the lung’s response to organic dust exposure and chronic lung diseases remains limited. We conducted a scoping review to map the current evidence on the role of cathelicidin LL-37/CRAMP in response to organic dust exposure and related chronic lung diseases: hypersensitivity pneumonitis (HP), chronic obstructive pulmonary disease (COPD) and asthma. We included a total of n = 53 peer-reviewed articles in this review, following the process of (i) a preliminary screening; (ii) a systematic MEDLINE/PubMed database search; (iii) title, abstract and full-text screening; (iv) data extraction and charting. Cathelicidin levels were shown to be altered in all clinical settings investigated; its pleiotropic function was confirmed. It was found that cathelicidin contributes to maintaining homeostasis and participates in lung injury response and repair, in addition to exerting a positive effect against microbial load and infections. In addition, LL-37 was found to sustain continuous inflammation, increase mucus formation and inhibit microorganisms and corticosteroids. In addition, studies investigated cathelicidin as a treatment modality, such as cathelicidin inhalation in experimental HP, which had positive effects. However, the primary focus of the included articles was on LL-37’s antibacterial effect, leading to the conclusion that the beneficial LL-37 activity has not been adequately examined and that further research is required.
GA-AHP Method to Support Robotic Polishing Process Planning

The finishing stage of mould manufacturing is generally completed via mechanical polishing and manually conducted. Not only is this the most expensive phase of the process but also is currently struggling with a deficit of skilled workers. To address these issues, and support the wider needs of Industry 4.0, the manufacturing community has investigated robotic technologies to support the polishing process. The work reported here, investigating the polishing process planning and optimization for mould manufacture is part of a larger project aiming to automate 80% of the current manual process. Presented in this article is an optimization strategy for robotic polishing process sequencing aiming at satisfying polishing sequence rules and the shortest polishing time simultaneously. A hybrid approach combining both genetic algorithm (GA) and analytical hierarchical process (AHP) is proposed based on the specific characteristics of polishing process sequencing. A multi-objective fitness function is defined using AHP including the calculation of polishing time and evaluation of polishing process rules. The proposed GA-based process sequencing has been successfully demonstrated on test piece examples.