Miracle-dz/UniFAR-FTUs huggingface dataset:
Dalcroze Method and Its Impact to Motor, Locomotor Status and Movement Aestethic

Dalcroze method presents the process of linking the sound into the body action in which musical skills can overcome through kinaesthetic exercises. The emphasis is on attention focused and directed to movement realisation, which is why the conscious attention between body and mind arise. The natural body movement, supported by musical content is mastering into organised act, by which body becomes an instrument and transfer certain parts of music in the movement. The author offers the review of researches about Dalcroze method contribution to every age of life, concluding that it presents a good strategy for every day’s life monitoring, the way of integrative learning and melodic fulfilment of physical exercises. It doesn’t know the age restrictions and is applicable through the whole life.
Mechanisms Underlying Anti-Inflammatory and Anti-Cancer Properties of Stretching—A Review

Stretching is one of the popular elements in physiotherapy and rehabilitation. When correctly guided, it can help minimize or slow down the disabling effects of chronic health conditions. Most likely, the benefits are associated with reducing inflammation; recent studies demonstrate that this effect from stretching is not just systemic but also local. In this review, we present the current body of knowledge on the anti-inflammatory properties of stretching at a molecular level. A total of 22 papers, focusing on anti-inflammatory and anti-cancer properties of stretching, have been selected and reviewed. We show the regulation of oxidative stress, the expression of pro- and anti-inflammatory genes and mediators, and remodeling of the extracellular matrix, expressed by changes in collagen and matrix metalloproteinases levels, in tissues subjected to stretching. We point out that a better understanding of the anti-inflammatory properties of stretching may result in increasing its importance in treatment and recovery from diseases such as osteoarthritis, systemic sclerosis, and cancer.
Statistical Mechanics of Nonequilibrium Liquids

1. Introduction 2. Linear irreversible thermodynamics 3. The microscopic connection 4. The Green-Kubo relations 5. Linear response theory 6. Computer simulation algorithms 7. Nonlinear response theory 8. Dynamical stability 9. Nonequilibrium fluctuations 10. Thermodynamics of steady states References Index.
Switch migration strategy based on traffic prediction

Aiming at the problem that the load imbalance among multiple controllers in Software Defined Network (SDN) will lead to the degradation of the overall performance of the system, a switch migration strategy (SMTP) based on traffic prediction is proposed. The strategy takes the load of the controller and the propagation delay between the controller and the switch as the optimization goals. First, the ARIMA model is used to predict the load of the switch; secondly, the predicted load of the controller is calculated, and the controller is divided into overload controller and light load controller; finally, considering the propagation delay between the controller and the switch, the migration algorithm is used Migrate some switches of overloaded controllers to light-loaded controllers to achieve load balancing among multiple controllers. The experimental results show that the SMTP strategy can realize the load balancing of SDN multi controllers. Compared with the LUMA strategy, the response time of the controller is shortened and the performance of the network is improved.
Event Scale Analysis of Streamflow Response to Wildfire in Oregon, 2020

Wildfire increases the magnitude of runoff in catchments, leading to the degradation of ecosystems, risk to infrastructure, and loss of life. The Labor Day Fires of 2020 provided an opportunity to compare multiple large and severe wildfires with the objective of determining potential changes to hydrologic processes in Oregon Cascades watersheds. Geographic information systems (GIS) were implemented to determine the total percentage burned and percentage of high burn severity class of six watersheds on the west slope of the Oregon Cascade Range. In addition, two control watersheds were included to contrast the influence of climatic effects. Spatial arrangements of burned patches were investigated for correlation to streamflow response by utilizing landscape metrics algorithms, including Largest Patch Index (LPI), mean gyration (GYRATE), Contiguity Index (CONTIG), Patch Cohesion Index (COHESION), and Clumpiness Index (CLUMPY). Results of the first-year post-fire response were consistent with other studies of fire effects in the Pacific Northwest (PNW) and indicated changes to runoff dynamics were difficult to detect with inferential statistics, but the largest changes in runoff coefficients occurred in watersheds having the greatest percentage burned. Correlation analysis indicated relationships between event runoff coefficients and percentage burned during the 2020 fire season. Control watersheds show confounding runoff coefficients, point to the influence of ongoing drought, and complicate conclusions about the role of spatial burn severity patterns. These results could guide future post-fire studies of spatial patterns of burn severity and could assist watershed managers to prioritize at-risk PNW catchments to minimize harm to ecological and societal values.
Logic Colloquium 2005: On some problems in computable topology

Computations in spaces like the real numbers are not done on the points of the space itself but on some representation. If one considers only computable points, i.e., points that can be approximated in a computable way, finite objects as the natural numbers can be used for this. In the case of the real numbers such an indexing can e.g. be obtained by taking the Godel numbers of those total computable functions that enumerate a fast Cauchy sequence of rational numbers. Obviously, the numbering is only a partial map. It will be seen that this is not a consequence of a bad choice, but is so by necessity. The paper will discuss some consequences. All is done in a rather general topological framework.
Characterization and Degradation Pathways of Microbacterium resistens MZT7, A Novel 17β-Estradiol-Degrading Bacterium

Due to the ecotoxicity of 17β-estradiol (E2), residual E2 in the environment poses potential risks to human and animal health and ecosystems. Biodegradation is considered one of the most effective strategies to remove E2 from the environment. Here, a novel, efficient E2-degrading bacterial strain Microbacterium resistens MZT7 was isolated from activated sludge and characterized. The genome of strain MZT7 contained 4,011,347 bp nucleotides with 71.26% G + C content and 3785 coding genes. There was 86.7% transformation efficiency of 10 mg/L E2 by strain MZT7 after incubation for 5 d at optimal temperature (30 °C) and pH (7.0). This strain was highly tolerant to ranges in pH (5.0–11.0), temperature (20–40 °C), and salinity (2–8%). Adding sources of carbon (glucose, maltose, sucrose, or lactose) or nitrogen sources (urea, peptone, or beef extract) promoted the degradation of E2 by strain MZT7. However, when yeast extract was added as a nitrogen source, the degradation efficiency of E2 was inhibited. Metabolites were analyzed by LC-MS and three metabolic pathways of E2 degradation were proposed. Further, the intermediates dehydroepiandrosterone and androsta-1,4-diene-3,17-dione were detected, as well as identification of kshB and fadD3 genes by KEGG, confirming one E2 degradation pathway. This study provided some insights into E2 biodegradation.
From Teachers’ Innovative Practices to Students’ Co-Creation: A Glimpse of the Project “Link Me Up – 1000 Ideias”

Higher Education Institutions are, more than ever, open to innovative practices, and nowadays the triple helix of University, Industry and Government is taking place through the implementation of projects such as “Link Me Up – 1000 Ideias”. This project, funded by COMPETE, was created as a network bringing together thirteen Portuguese Polytechnic Institutes to promote entrepreneurship among students, called talents, in academia. In a multidisciplinary approach, a co-creation team of 4-6 students, working together with organisation partners and using teacher’s innovative practices, explore a future-oriented challenge in order to design solutions, ideas and future scenarios, in an 8-week process that aims to empower students to create their own innovative companies or projects and to help them to be prepared for the transition to the world of work, developing soft skills that are required in our competitive society. This project is linked to another, entitled “Learning based on co-creation processes,” funded by POCH, in a partnership with DEMOLA Global, which provides teachers (in this process, they become facilitators) with innovative methodologies that are then operationalised when implementing co-creation challenges. In this study, we aim at presenting the “Link Me Up” project from the point of view of students from the Polytechnic Institute of Viseu and local organisations, by a) reflecting upon the questionnaires applied to students and companies to assess their degree of satisfaction with their participation in the project, identifying key areas enhanced by the experience. Additionally, b) we will look at the reports written by the group of students as they summarise the work developed in partnership with companies throughout eight intensive weeks. We will conclude, not with a retrospective view, although it is important to look at the past to build the present, but with the perspective of a future that is collaborative, reflective, critical and increasingly creative.
Turnaround Time: An Efficacy Measure for Medical Laboratories

Turnaround time (TAT), which doctors frequently use as the benchmark for laboratory performance, is a typical way to communicate timeliness. It also acts as a quality indicator to evaluate the effectiveness and efficiency of the testing process and the satisfaction of clinicians and patients. TAT is the time from receipt of the sample in the laboratory to final delivery or dispatch of the report of said test. The TAT procedure can be broadly divided into three stages pre-analytical, analytical and post-analytical. There is variability in TAT according to different conditions like the volume of sample size, staff expertise, availability of adequate resources, distances of the hospital from the lab, and various sub-departments. To remove obstacles to optimizing TAT, we must take a practical approach. A workload reduction plan, proper stock management, specialized work assignments, and skilled staff retention are crucial strategies to reduce the setting's delayed TAT.
Bit error rate of different modulation and channel coding methods in different channels

This paper introduces two kinds of commonly used modulation (Phase shift keying and Quadrature Amplitude Modulation) and four classical channel coding methods（Hamming code, Convolutional code, Turbo code, LDPC code）, and uses the Communication tool box provided by MATLAB to simulate and research the performance of different modulation methods and different channel coding methods under Additive White Gaussian Noise Channel and flat rayleigh fading Channel. The results of the simulation verifies some important theories in the field of modulation and channel coding. In particular, the performance simulation of turbo codes and LDPC codes used different decoding methods under Rayleigh channel is simulated, and the research in this area is not sufficient before. Finally, this paper makes some useful suggestions for future research directions in the field of modulation and channel coding.
From Density Functional Theory to Conceptual Density Functional Theory and Biosystems

The position of conceptual density functional theory (CDFT) in the history of density functional theory (DFT) is sketched followed by a chronological report on the introduction of the various DFT descriptors such as the electronegativity, hardness, softness, Fukui function, local version of softness and hardness, dual descriptor, linear response function, and softness kernel. Through a perturbational approach they can all be characterized as response functions, reflecting the intrinsic reactivity of an atom or molecule upon perturbation by a different system, including recent extensions by external fields. Derived descriptors such as the electrophilicity or generalized philicity, derived from the nature of the energy vs. N behavior, complete this picture. These descriptors can be used as such or in the context of principles such as Sanderson’s electronegativity equalization principle, Pearson’s hard and soft acids and bases principle, the maximum hardness, and more recently, the minimum electrophilicity principle. CDFT has known an ever-growing use in various subdisciplines of chemistry: from organic to inorganic chemistry, from polymer to materials chemistry, and from catalysis to nanotechnology. The increasing size of the systems under study has been coped with thanks to methodological evolutions but also through the impressive evolution in software and hardware. In this flow, biosystems entered the application portfolio in the past twenty years with studies varying (among others) from enzymatic catalysis to biological activity and/or the toxicity of organic molecules and to computational peptidology. On the basis of this evolution, one can expect that “the best is yet to come”.
Characteristics of Latent Heating Rate From GPM and Convective Gravity Wave Momentum Flux Calculated Using the GPM Data

Parameterizations of convective gravity‐wave (CGW) drag (CGWD) require cloud information as input parameters. As cloud information provided from reanalyses includes some uncertainties, observed cloud information is required for better representation of CGWs. For this, characteristics of the latent heating rate (LHR) based on the Global Precipitation Measurement (GPM) satellite over 6 yr (June 2014 to May 2020) are investigated, and the CGW momentum flux and CGWD based on an offline CGWD parameterization are calculated using the GPM‐LHR and the Modern‐Era Retrospective Analysis for Research and Applications, Version 2 (MERRA‐2) background variables. Additionally, they are compared with those using LHR afforded by MERRA‐2. The averaged cloud‐bottom height is lower than that from MERRA but the cloud top height is similar for the both data, yielding deeper clouds from GPM that can generate more high phase‐speed components of CGWs. The column‐maximum heating rate, which is an input of the CGW momentum flux, of GPM‐LHR is maximal near the equator and the secondary maximum locates in the winter hemisphere storm tracks. The maximum of the cloud top momentum flux (CTMF) of CGWs locates in the winter hemisphere storm tracks, with the GPM‐CTMF being much larger than MERRA‐CTMF, as extreme convective events occur more frequently in GPM. In the equatorial region above z = 40 km, the GPM‐CGWD is significantly larger because high phase‐speed components of CGWs that survive up to the upper stratosphere are abundant for GPM‐CTMF, and this will contribute to drive more realistic semi‐annual oscillation.
LAMP: a micro-satellite based soft x-ray polarimeter for astrophysics

The Lightweight Asymmetry and Magnetism Probe (LAMP) is a micro-satellite mission concept dedicated for astronomical X-ray polarimetry and is currently under early phase study. It consists of segmented paraboloidal multilayer mirrors with a collecting area of about 1300 cm2 to reflect and focus 250 eV X-rays, which will be detected by position sensitive detectors at the focal plane. The primary targets of LAMP include the thermal emission from the surface of pulsars and synchrotron emission produced by relativistic jets in blazars. With the expected sensitivity, it will allow us to detect polarization or place a tight upper limit for about 10 pulsars and 20 blazars. In addition to measuring magnetic structures in these objects, LAMP will also enable us to discover bare quark stars if they exist, whose thermal emission is expected to be zero polarized, while the thermal emission from neutron stars is believed to be highly polarized due to plasma polarization and the quantum electrodynamics (QED) effect. Here we present an overview of the mission concept, its science objectives and simulated observational results.
Neural Architecture Search for Image Dehazing

Manual design of deep networks require numerous trials and parameter tuning, resulting in inefficient utilization of time, energy, and resources. In this article, we present a neural architecture search (NAS) algorithm—AutoDehaze, to automatically discover effective neural network for single image dehazing. The proposed AutoDehaze algorithm is built on the gradient-based search strategy and hierarchical network-level optimization. We construct a set of search space layouts to reduce memory consumption, avoid the NAS collapse issue, and considerably accelerate the search speed. We propose four search spaces <inline-formula><tex-math notation="LaTeX">$\text{AutoDehaze}_{B}$</tex-math></inline-formula>, <inline-formula><tex-math notation="LaTeX">$\text{AutoDehaze}_{U1}$</tex-math></inline-formula>, <inline-formula><tex-math notation="LaTeX">$\text{AutoDehaze}_{U2}$</tex-math></inline-formula>, and <inline-formula><tex-math notation="LaTeX">$\text{AutoDehaze}_{L}$</tex-math></inline-formula>, which are inspired by the boat-shaped, U-shaped, and lateral connection-based designs. To the best of authors knowledge, this is a first attempt to present an NAS method for dehazing with a variety of network search strategies. We conduct a comprehensive set of experiments on Reside-Standard (SOTS), Reside-<inline-formula><tex-math notation="LaTeX">$\beta$</tex-math></inline-formula> (SOTS) and Reside-<inline-formula><tex-math notation="LaTeX">$\beta$</tex-math></inline-formula> (HSTS), D-Hazy, and HazeRD datasets. The architectures discovered by the proposed AutoDehaze quantitatively and qualitatively outperform the existing state-of-the-art approaches. The experiments also show that our models have considerably fewer parameters and runs at a faster inference speed in both CPU and GPU devices.
Senescent Fibroblasts Generate a CAF Phenotype through the Stat3 Pathway

Aging has been recently reported to promote lung cancer initiation and progression. Senescent fibroblasts gain a cancer-associated fibroblast (CAF) phenotype, and exert a powerful influence on cancer behavior, such as tumor cell growth and metastasis. However, mechanisms linking fibroblast senescence with CAF activation remain poorly understood. Our study shows that senescent fibroblasts displayed CAF properties, including the highly expressed CAF markers, α-SMA and Vimentin, and CAF-specific factors, CXCL12, FGF10, IL6 and COL1A1, which significantly increased collagen contractile activity and promoted the migration and invasion of lung cancer cells, H1299 and A549. We were further able to show that CAF characteristics in senescent fibroblasts could be regulated by the Stat3 pathway. Intracellular ROS accumulation activates the Stat3 pathway during senescence. Thus, our findings indicate that senescent fibroblasts mediate a CAF function with the Stat3 pathway. We further propose a novel Stat3 dependent targetable mechanism, which is instrumental in mediating the migration and invasion of lung cancer cells.
Self-esteem Stability and Change at Home versus at Work: An Application of the Latent State-Trait Model for the Combination of Random and Fixed Situations (LST-RF)

ABSTRACT Recent research has shown that even stable psychological constructs, like self-esteem, are not static entities. Accordingly, research on state-trait decomposition is growing, but few studies have been conducted on investigating potential differences across situations. In this contribution, we used a Latent State-Trait model for the combination of Random and Fixed situations (LST-RF) to investigate self-esteem state-trait decomposition at home versus at work, in order to examine the impact of the organizational environment on some characteristics of self-esteem stability and change. Workers from various sectors (N = 161) completed a battery at T0 (age, gender, and organizational membership) and then responded to a questionnaire investigating their degree of global self-esteem and self-concept clarity across two days in 8 random situations that were nested within 2 fixed situations (home-work). Results showed that, contrary to our hypothesis, there were no substantial differences in self-esteem state-trait decomposition at home versus at work, while there was a significant mean-level decline of self-esteem when at work (consistent with the Conservation of Resources Theory) which was positively counteracted by organizational membership (according to the Sociometer Theory). In conclusion, we demonstrated that considering fixed situations may advance our knowledge on self-esteem state-trait decomposition.
Intelligent flower recognition system based on deep learning

With the continuous expansion of the application fields of deep learning, human life is becoming more and more wonderful. This paper mainly uses the application of deep learning in the field of image recognition and uses deep learning algorithm to recognition the problem of flowers. Due to the huge number of flowering species, How to automatically recognition flowers through the system gives people more understanding of flowers while appreciating them, which is a topic with practical application value. This paper constructs a deep learning multi-classification model based on ResNet, and conducts training based on PyTorch framework on the data set of more than 3000 pictures of five kinds of flowers. After 50 rounds of iterative training, it finally achieves 91% average accuracy on the test dataset.Finally, a recognition system based on this model is realized by visualization technology, so as to facilitate users to effectively recognize the kind of flowers through this system.
Application of Smoothed Particle Hydrodynamics to Fluid Flow Involving Solid Boundaries.

Abstract : Smoothed particle hydrodynamics (SPH) is a non-Monte Carlo free-Lagrangian method of computational fluid dynamics that has recently expanded in scope beyond its parent application of astrophysical simulations. Modelling terrestrial flows involving boundaries is an important extension of the technique. This thesis describes the application of SPH to model compressible and incompressible flows involving boundaries. Simulations of shock wave reflection in a one-dimensional shock tube have been made. Different boundary methods have been compared with regards to their ability to model a one-dimensional reflecting shock wave. The simulations show that the introduction of imaginary particles appears to be the most effective method of boundary simulation for transient shock reflection. Simulations also show that the choice of artificial diffusion treatment for best reflection is ambiguous. Incompressible flow has been modelled using several test problems. To model incompressible flow, modifications to the standard SPH equations are necessary. An artificial compressibility technique is introduced through a fluid specific equation of state. Real viscosity has been introduced. Results are shown for three test cases: Couette flow, Stoke's first problem, and a shear driven cavity.