Miracle-dz/UniFAR-FTUs huggingface dataset:
Advances in Stroke Neurorehabilitation

Stroke is one of the leading causes of disability worldwide despite recent advances in hyperacute interventions to lessen the initial impact of stroke. Stroke recovery therapies are crucial in reducing the long-term disability burden after stroke. Stroke recovery treatment options have rapidly expanded within the last decade, and we are in the dawn of an exciting era of multimodal therapeutic approaches to improve post-stroke recovery. In this narrative review, we highlighted various promising advances in treatment and technologies targeting stroke rehabilitation, including activity-based therapies, non-invasive and minimally invasive brain stimulation techniques, robotics-assisted therapies, brain–computer interfaces, pharmacological treatments, and cognitive therapies. These new therapies are targeted to enhance neural plasticity as well as provide an adequate dose of rehabilitation and improve adherence and participation. Novel activity-based therapies and telerehabilitation are promising tools to improve accessibility and provide adequate dosing. Multidisciplinary treatment models are crucial for post-stroke neurorehabilitation, and further adjuvant treatments with brain stimulation techniques and pharmacological agents should be considered to maximize the recovery. Among many challenges in the field, the heterogeneity of patients included in the study and the mixed methodologies and results across small-scale studies are the cardinal ones. Biomarker-driven individualized approaches will move the field forward, and so will large-scale clinical trials with a well-targeted patient population.
Teacher strategies for teaching slow learners in low-grade primary schools

Every child has the right to a proper education, including slow learners. Slow learners are students who experience delays in learning. The condition of students who experience learning delays causes low student achievement and difficulty understanding the material. Learning strategies are needed to help slow learners catch up. The research aims to describe the teacher's strategy for teaching slow-learning students with low grades. This type of research is qualitative research with a case study method. The research was conducted at SD Negeri Jemirahan with the participants being two grade 1 teachers. In this study, data collection techniques used observation, interviews, and documentation. The data were then analyzed using the Miles and Huberman model by reducing data, presenting data, and drawing conclusions. The results showed that teachers applied various strategies for slow-learning students in the form of material reduction, question modification, additional study hours, and seating rotation to student motivation. The results showed that the role of teachers with the application of appropriate learning strategies for slow learners had a significant impact, namely students' willingness to learn increased slowly.
Fish Oil Supplementation with Resistance Exercise Training Enhances Physical Function and Cardiometabolic Health in Postmenopausal Women

Menopause is a condition associated with an increased risk of dysregulation in cardiovascular and metabolic health among older women. While fish oil (FO) has garnered great attention for its health-enhancing properties, its potential for enhancing cardiometabolic health in this demographic remains to be established. The purpose of this study was to determine the clinical efficacy of an 8 wk administration of FO combined with programmed resistance exercise training (RET) on physical function and risk factors associated with cardiometabolic health in healthy older women. Twenty, healthy, older women were randomly assigned to one of the two experimental groups: resistance training with placebo (RET-PL) or RET with fish oil (RET-FO). Physical function, blood pressure (BP), triglyceride (TG), and systemic inflammation and oxidative stress biomarkers were assessed before and after the intervention. Statistical significance was set at p ≤ 0.05. Physical function was greatly enhanced in both RET and RET-FO. Handgrip strength substantially increased only in RET-FO. RET-FO exhibited significant decreases in BP, TG, inflammatory cytokines (TNF-α and IL-6), and oxidative stress (MDA and 8-OHdG) levels, while no detectable changes were found in RET-PL. Our findings indicate that FO administration during 8 wks of RET appears to enhance muscle function and lower risk factors linked to cardiometabolic disorders in postmenopausal women.
Projected Changes in Eurasian and Arctic Summer Cyclones under Global Warming in the Bergen Climate Model

Abstract Using the coupled ocean-atmosphere Bergen Climate Model, and a Lagrangian vorticity-based cyclone tracking method, the authors investigate current climate summer cyclones in the Northern Hemisphere and their change by the end of the 21st century, with a focus on Northern Eurasia and the Arctic. The two scenarios A1B and A2 for increasing greenhouse gas concentrations are considered. In the model projections, the total number of cyclones in the Northern Hemisphere is reduced by about 3%–4%, but the Arctic Ocean and adjacent coastal regions harbour slightly more and slightly stronger summer storms, compared to the model current climate. This increase occurs in conjunction with an increase in the high-latitude zonal winds and in the meridional temperature gradient between the warming land and the ocean across Northern Eurasia. Deficiencies in climate model representations of the summer storm tracks at high latitudes are also outlined, and the need for further model inter-comparison studies is emphasized.
Quiet heroes: Teachers and the Canterbury, New Zealand, earthquakes

This article argues that teachers deserve more recognition for their roles as first responders in the immediate aftermath of a disaster and for the significant role they play in supporting students and their families through post-disaster recovery. The data are drawn from a larger study, 'Christchurch Schools Tell Their Earthquake Stories' funded by the United Nations Educational, Scientific and Cultural Organisation and the University of Auckland, in which schools were invited to record their earthquake stories for themselves and for historical archives. Data were gathered from five primary schools between 2012 and 2014. Methods concerned mainly semi-structured individual or group interviews and which were analysed thematically. The approach was sensitive, flexible and participatory with each school being able to choose its focus, participants and outcome. Participants from each school generally included the principal and a selection of teachers, students and parents. In this study, the data relating to the roles of teachers were separated out for closer analysis. The findings are presented as four themes: immediate response; returning to (new) normal; care and support; and long term effects.
Automatic Impedance Matching With Dual Time-Scale P&O in Fully Self-Powered Electromagnetic Vibration Energy Harvesting

Most of electromagnetic vibration energy harvester (EVEH) systems are only focused on resistance matching at resonant frequency. However, the EVEH will have complex output impedance at nonresonant frequencies. Pure resistance matching cannot fully extract the maximum power at nonresonance. This article is the first to propose an automatic and fully self-powered complex impedance matching EVEH system. The characteristics of the output impedance of the EVEH are analyzed, and it is found that the impedance will be distributed on a circle. An impedance-circle-based perturb-and-observe (P&O) method with dual time-scale is proposed. It perturbs the central angle with a short time-scale for fast response to vibration frequency change, and perturbs both angle and diameter with a long time scale to adapt to the slow aging and wear-out of the EVEH. Such dual time-scale P&O improves the speed and accuracy of complex impedance determination. Besides, a fully self-powered milliwatts impedance control scheme with an inductor-less H-bridge ac–dc converter is designed. Experiments show that the designed system can realize complex impedance matching control stably and quickly. The maximum improvement of the output power of the converter reaches 25% compared to resistance matching scheme at nonresonant frequencies. Under the excitation acceleration amplitude of 3 m/s2 at the resonant frequency, the system generates the maximum power of 10.11 mW with the overall system efficiency reaching 82.2%. It is the first time the automatic complex impedance matching is realized in millipower fully self-powered EVEH.
An exact second order cone programming approach for traffic assignment problems

Demographic changes, urbanization and increasing vehicle ownership at unprecedented rates put a lot of strain on cities particularly on urban mobility and transportation and overwhelm transportation network infrastructures and current transportation systems, which are not built to cope with such a fast increasing demand. Traffic congestion is considered as the most difficult challenge to tackle for sustainable urban mobility and is aggravated by the increased freight activity due to e-commerce and on-demand delivery and the explosive growth in transportation network companies and ride-hailing services. There is a need to implement a combination of policies to ensure that increased urban traffic congestion does not lower the quality of life and threaten global climate and human health and to prevent further economic losses. This study aims to contribute to the United Nations (UN) climate action and sustainable development goals in tackling recurring traffic congestion problem in urban areas to achieve a sustainable urban mobility in that it offers a solution methodology for traffic assignment problem. We introduce an exact generalized solution methodology based on reformulation of existing traffic assignment problems as a second order cone programming (SOCP) problem and propose column generation (CG) and cutting plane (CP) algorithms to solve the problem effectively for large scale road network instances. We conduct numerical experiments to test the performance of the proposed algorithms on realistic road networks.
Shebandowan greenstone belt, western Superior Province: U-Pb ages, tectonic implications, and correlations

The Shebandowan greenstone belt of the western Wawa Subprovince consists of successions of volcanic and sedimentary rocks impinging onto the metasedimentary Quetico Subprovince to the north and cored by a batholithic complex to the south. U-Pb geochronology using mainly zircon and titanite demonstrates a relatively rapid accretion of the greenstone belt in the late Archean. The oldest ages were obtained for 2750 Ma tonalitic gneiss and sporadic 2830–2750 Ma detrital or xenocrystic zircons. A major phase of greenstone belt construction at 2720 Ma formed ultramafic to felsic volcanic rocks and peridotitic, gabbroic, and anorthositic bodies, probably in an extensional arc–backarc setting. These units are laterally correlative with volcanogenic massive sulfide-bearing assemblages in the central Wawa Subprovince and probably with similar successions in northern Minnesota. The second major stage of felsic volcanism and plutonism at about 2695 Ma was associated with D 1 compression causing thrusting, imbrication, and sedimentation. This was succeeded by the deposition of an unconformable sequence of calc-alkalic to alkalic volcanic and sedimentary rocks and emplacement of tonalitic to syenitic plutons at about 2690 Ma. Transpressive deformation (D 2 ), constrained between 2685 and 2680 Ma, caused the development of locally penetrative structures and deposition of clastic sedimentary packages. The emplacement of plutons at 2683–2680 Ma concluded the evolution of the greenstone belt. Titanite (and rutile) yield ages in the same range as zircon, showing that the greenstone belt was situated at high crustal levels by 2680 Ma and escaped the younger and intense deformational-metamorphic events recorded in greenstone belts farther east in the central Wawa Subprovince as well as in the immediately adjacent migmatitic Quetico Subprovince to the north.
DISTRIBUTION OF MESOZOIC BASIN AND DISCUSSION GEODYNAMICS OF CONTINENT INTERIOR IN THE EASTERN CHINA

On the basis of the analysis of the Mesozoic basins' distribution in the continental interiorof eastern China, the paper gives out the comparison of the distrbution and scale of the Songliao basin,Liaoxi Basin Group and the Bobal Basin. These basins are different in several aspects such as geodynamic evolution, the thickness of crust and lithorsphere, and so on. The paper then puts forward a basin dynamic model in the eastern China which is defined by the subduction of the lzanagi Plate towards EuropeAsian Plate during Cretaceous Period in a oblique direction and by the collision effects of the North China and South China plates.
The SCUT Text-To-Speech System for the Blizzard Challenge 2023

In this paper, we present the SCUT Text-To-Speech (TTS) sys-tem developed for the Blizzard Challenge 2023. Our system utilizes the FastSpeech2 acoustic model and the HiFiGAN vocoder to generate high-quality speech synthesis. We incorporate a prosody extractor based on VQ-VAE to enhance the expressive prosody of the synthesized speech. Experimental results demonstrate the effectiveness of our system in producing natu-ral and fluent speech synthesis
Pesticides and Aquatic Animals: A Guide to Reducing Impacts on Aquatic Systems

Serves as a general guide for those who may use pesticides in or around natural wetlands, lakes, ponds, rivers, and streams by providing information about the toxicity and safe use of pesticides that have the potential to enter aquatic systems. URI http://hdl.handle. net/10919/48060 Collections Publications, Virginia Cooperative Extension (VCE) [5826] If you believe that any material in VTechWorks should be removed, please see our policy and procedure for Requesting that Material be Amended or Removed. All takedown requests will be promptly acknowledged and investigated. Virginia Tech | University Libraries | Contact Us Pesticides and aquatic animals: a guide to reducing impacts on aquatic systems 
Small-scale sublithospheric continental mantle deformation: constraints from SKS splitting observations

SUMMARY It is generally believed that azimuthal seismic anisotropy is an important property of the subcontinental mantle, and that this is a relatively small-scale phenomenon compared with anisotropy of the oceanic mantle. During recent years, shear-wave splitting has come to be viewed as the most direct diagnostic of azimuthal anisotropy. The magnitude of the splitting delay times can often rule out a crustal source of anisotropy; however, it is not yet clear whether the source of anisotropy lies within the lithosphere or the sublithosphere. It is essential to know the scale of lateral variations and the distribution of anisotropy with depth in order to understand the origin of this phenomenon. Here we describe a way to constrain the depth of the anisotropy, by studying the lateral variation of the splitting parameters at neighbouring seismic stations. We use SKS and SKKS phases recorded at the NARS-NL array, a relatively dense network of broad-band stations separated by about 50 km. Fresnel zones at different depths are calculated for these phases. The depth of the anisotropy is constrained by the criterion that Fresnel zones corresponding to different splitting observations should not overlap. Variability in the splitting measurements for events with different directions of approach recorded at one station, and for single events recorded at various stations, provides evidence for a non-homogeneously distributed source of anisotropy, located below the array at different depths. We show that this variability in the measurements cannot be due to effects of crustal scattering. Our results indicate that the anisotropy is partly located in the sublithospheric mantle at about 400 km depth. This suggests that the deformation in this region is subject to significant lateral variations.
A novel vision transformer network for rolling bearing remaining useful life prediction

The accurate predictions of remaining useful life (RUL) have become a key and extremely challenging problem. Due to the limitations of the classical convolutional neural network and recurrent neural network structure, the attention mechanism has been introduced to improve feature representation of the long-term bearing degradation data. Transformer network based on attention mechanism is successfully applied in many fields and recognized as an excellent creation for deep learning models. In this paper, a novel lightweight mobile vision transformer (MobileViT) architecture based on deep networks is proposed for the RUL predictions. This new network is named prognostics separable vision Transformer (ProgSViT), which combines the separable convolution and MobileViT. In ProgSViT network, the separable convolutions are first constructed for extracting local feature from the input vibration signal, and the new vision transformer architecture is proposed to learn the global feature representations. In improved MobileViT model, the loss function is optimized, and a new training strategy is provided. Finally, the obtained features are input to the global average pool layers and the full connection layers to perform RUL estimation. Experiment results present the proposed ProgSViT network surpasses the other models in RUL predicting, which possesses higher precision and computational efficiency.
Suspended particle capture by synthetic vegetation in a laboratory flume

Vegetated floodplains and wetlands trap particles, a process that is important for water quality and wetland function and morphology. The rates of particle removal by vegetation remain poorly characterized, especially for small particles and vegetation coated with biofilm. In this study, we measured capture rates of road dust by arrays of grass‐like synthetic vegetation in a laboratory flume. We performed 40 experiments in which stem density, flow velocity, the presence of biofilm, and initial particle concentration varied, and used an in situ particle size analyzer to measure the concentration of a continuous particle size distribution (1.25–250 µm diameter). We fit first‐order decay models to the particle concentration measurements to determine particle capture rates and found that capture rates increased with particle size, stem density, and the presence of biofilm. Capture rates decreased with increasing flow velocity, which suggests that fast flows may resuspend particles from stems. We also calculated percent particle capture efficiencies and fit a new empirical model for capture efficiency to our results. We found that particle capture efficiency was highest for low stem density treatments and propose that stem density affects capture by altering turbulent kinetic energy.
Chemical profile and biological properties of the essential oil of Rosemary leaves (Rosmarinus officinalis L.)

Rosemary leaf essential oil (RoEO) is extracted using steam distillation. The aim of study is to determine physicochemical characteristics of essential oil (EO), such as acid/saponification/esterification index, relative/absolute density, freezing point, and fragrance retention. The chemical composition of EOs was analyzed by gas chromatography-mass spectrometry (GC-MS) method and identified 50 volatile compounds, of which α-Pinene (33.76%), 1,8-Cineole (18.47%), and Levoverbenone (6.11%) constituted the highest proportions in EO. The antioxidant capacity (AC) of the EO was evaluated by 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging method with a half-maximum inhibitory concentration (IC50) of 425.473 mg/mL. In particular, antibacterial activity (AA) by the paper plate diffusion method for susceptibility testing to essential oil showed that RoEO strongly inhibited the growth of four tested bacterial strains (Staphylococcus aureus, Bacillus cereus, Salmonella typhimurium, and Escherichia coli). Perhaps, it is possible to apply RoEO in the food industry and other fields owing to the good properties of RoEO.
AGGREGATE GLOBAL SCALE ANALYSIS OF RELATIONSHIP BETWEEN HEAT FLOW AND HEAT PRODUCTION

Heat flow analysis is of importance in understanding the gedynamics of tectonics and the chemical composition of the crust. We interrogate the global heat flow database for insights into the nature of the partition of continental heat flow between crustal and mantle . out.ibutions. Results show that while surface heat flow cannot be described with confidence as a simple linear function of heat production on a world-wide basis in Phanerozoic terrains, there exists in aggregate a clearly positive trend between the two valuables in Precambrian terrains. The contrast in the q-A relationships in Phanerozoic and Precambrian allows a first order estimate Of the variability of the heat flow components. Along with otherconsiderations, the relationship of q=38.6+4.5A regressed from Precambrian data set provides the following constraints on the average abundances of heat production elements for a crust of 30-50 km thickness: uranium (0. 5-1. 6)×10-6, thoritirn (1. 8-6.1)×10-6,and K2O 0. 6%-1. 9%.
TUBER YIELD AND EVAPOTRANSPIRATION OF POTATO DEPENDING ON SOIL MATRIC POTENTIAL

AKSIC, M. , S. GUDZIC, N. DELETIC, N. GUDZIC, S. STOJKOVIC and J. KNEZEVIC, 2014. Tuber yield and evapotranspiration of potato depending on soil matric potential. Bulg. J. Agric. Sci., 20: 122-126 This study has been carried out through field trials with irrigation in the river valley of Southern Morava, near Nis, at the alluvium soil type, in the period 2008-2009. The experimental field consisted of three treatments with irrigation (soil mat ric potential of 20, 30 and 40 kPa), as well as unirrigated control. Irrigation schedule was determined by tensiometers based on the observed soil matric potential values. The highest potato tuber yield (48.30 t ha -1 ) was observed at the variant where soil matric potential of 30 kPa was kept. Potato tuber yield was the highest when water consumption for evapotranspiration amounted from 491.3 to 498.6 mm, while at higher or lower values of water consumption for ET tuber yield dropped. Water use efficiency of potato during the studied period ranged from 81.23 to 98.21 kg ha -1 mm -1 . The data concerning tuber yield, evapotranspiration and WUE of potato point to the fact that, in order to reach high potato tuber yield and quality, one ought to keep soil matric potential at levels around 30 kPa for the conditions of south Serbia.