Miracle-dz/UniFAR-FTUs huggingface dataset:
An Upper-Limb Rehabilitation Exoskeleton System Controlled by MI Recognition Model With Deep Emphasized Informative Features in a VR Scene

The prevalence of stroke continues to increase with the global aging. Based on the motor imagery (MI) brain–computer interface (BCI) paradigm and virtual reality (VR) technology, we designed and developed an upper-limb rehabilitation exoskeleton system (VR-ULE) in the VR scenes for stroke patients. The VR-ULE system makes use of the MI electroencephalogram (EEG) recognition model with a convolutional neural network and squeeze-and-excitation (SE) blocks to obtain the patient’s motion intentions and control the exoskeleton to move during rehabilitation training movement. Due to the individual differences in EEG, the frequency bands with optimal MI EEG features for each patient are different. Therefore, the weight of different feature channels is learned by combining SE blocks to emphasize the useful information frequency band features. The MI cues in the VR-based virtual scenes can improve the interhemispheric balance and the neuroplasticity of patients. It also makes up for the disadvantages of the current MI-BCIs, such as single usage scenarios, poor individual adaptability, and many interfering factors. We designed the offline training experiment to evaluate the feasibility of the EEG recognition strategy, and designed the online control experiment to verify the effectiveness of the VR-ULE system. The results showed that the MI classification method with MI cues in the VR scenes improved the accuracy of MI classification (86.49% ± 3.02%); all subjects performed two types of rehabilitation training tasks under their own models trained in the offline training experiment, with the highest average completion rates of 86.82% ± 4.66% and 88.48% ± 5.84%. The VR-ULE system can efficiently help stroke patients with hemiplegia complete upper-limb rehabilitation training tasks, and provide the new methods and strategies for BCI-based rehabilitation devices.
A Paradigm Shift in the Management of Patients with Parkinson’s Disease

Background: Technological evolution leads to the constant enhancement of monitoring systems and recording symptoms of diverse disorders. Summary: For Parkinson’s disease, wearable devices empowered with machine learning analysis are the main modules for objective measurements. Software and hardware improvements have led to the development of reliable systems that can detect symptoms accurately and be implicated in the follow-up and treatment decisions. Key Messages: Among many different devices developed so far, the most promising ones are those that can record symptoms from all extremities and the trunk, in the home environment during the activities of daily living, assess gait impairment accurately, and be suitable for a long-term follow-up of the patients. Such wearable systems pave the way for a paradigm shift in the management of patients with Parkinson’s disease.
Simulation of Distributed Base Flow Contributions to Streamflow Using a Hillslope-Based Catchment Model Coupled to a Regional-Scale Groundwater Model

AbstractThe estimation of base flow contributions to streamflow, and in particular the partitioning of base flow into shallow and deep aquifer components, is a challenging problem in water resources management. In this study, the newly developed hillslope-storage Boussinesq analytic-element (hsB/AE) model is applied to the Allen River headwater catchment in southern Quebec, Canada, which is a major recharge area for the transboundary Chateauguay River watershed. This first application to a real catchment serves as an illustration of the basic principles behind the coupled model and an investigation into interaquifer interactions and the origins of base flow contributions to streamflow. The hsB component of the model represents local groundwater flow in sloping, shallow Quaternary sediments, whereas the AE component represents the underlying regional bedrock aquifer. The catchment is partitioned into hillslopes of regular convergent, divergent, or combined planform shapes. Simulations are run for the summe.
A Fully Distributed Implementation of Mean Annual StreamFlow Regional Regression Equations 1

Abstract: Estimates of mean annual streamflow are needed for a variety of hydrologic assessments. Away from gage locations, regional regression equations that are a function of upstream area, precipitation, and temperature are commonly used. Geographic information systems technology has facilitated their use for projects, but traditional approaches using the polygon overlay operator have been too inefficient for national scale applications. As an alternative, the Elevation Derivatives for National Applications (EDNA) database was used as a framework for a fully distributed implementation of mean annual streamflow regional regression equations. The raster “flow accumulation” operator was used to efficiently achieve spatially continuous parameterization of the equations for every 30 m grid cell of the conterminous United States (U.S.). Results were confirmed by comparing with measured flows at stations of the Hydro‐Climatic Data Network, and their applications value demonstrated in the development of a national geospatial hydropower assessment. Interactive tools at the EDNA website make possible the fast and efficient query of mean annual streamflow for any location in the conterminous U.S., providing a valuable complement to other national initiatives (StreamStats and the National Hydrography Dataset Plus).
The Implications of Limiting CO 2 Concentrations for Agriculture, Land Use, Land-use Change Emissions and Bioenergy

Limiting atmospheric CO2 concentrations carries implications for agriculture, land use, unmanaged ecosystems, “second-generation” bioenergy, and the global energy system. Using PNNL’s integrated assessment modeling system, MiniCAM, we find that improving conventional crop productivity has the potential to reduce land-use change emissions by hundreds of billions of tons of carbon over the 21 st century. The importance of the potential role of crop productivity specifically as a means of climate change mitigation has gone largely unrecognized. We further find that limiting the concentration of greenhouse gases in the atmosphere carries implications for land use that are unavoidable and independent of the production of bioenergy crops. Land is a scarce resource and the carbon associated with unmanaged ecosystems provides a carbon storage service that, if valued, becomes increasingly valuable with time. This in turn means that relative to a reference scenario, a larger stock of unmanaged ecosystems and managed forests is desirable, which in turn raises land rents, raises crop prices, decreases crop production and the land that is used to produce crops. We find that crop and forest product waste streams are a potentially important source of bioenergy with or without a carbon price. We find very little dedicated bioenergy crop production before 2035 and therefore no noticeable effect on crop prices until after the middle of the century (absence non-climate-related subsidies). Failure to take into account the value of terrestrial carbon storage services by unmanaged ecosystems and managed forests could have dramatic consequences for unmanaged ecosystems if CO2 concentrations are limited. When terrestrial carbon is valued and both waste-derived and purpose-grown bioenergy technologies are available, the cost of limiting the concentration of CO2 is reduced in some scenarios by half. When carbon is valued the dominant use of bioenergy is power generation with CO2 capture and storage (CCS), not transportation fuels. We find that net global carbon emissions eventually become negative when CO2 concentration limits are set below 550 ppm in 2095 and both bioenergy and CCS technologies are jointly employed.
Applying ‘Mixed Methods’ In The Study Of Tourist Behaviours In The City – An Example Of Conceptualization And Application (Discursive Article)

Abstract This article fits into the category of a conceptual-discursive article. Its aim is to discuss the application of ‘mixed methods’ in research concerning tourist behaviours, especially in the city. The article consists of a part presenting a set of methods used to study such behaviours and a part discussing the results concerning the application of a proposed research procedure algorithm. The authors take a behavioural approach and propose using a quasi-experimental method combined with techniques of mobility monitoring (GPS), and the qualitative methods used in sociological research. The article presents a discussion concerning ‘mixed methods’, discusses a proposed algorithm of research procedure and presents conclusions following the joint application of these methods.
Resolution enhancement of non-stationary seismic data using amplitude-frequency partition

As the Earth's inhomogeneous and viscoelastic properties, seismic signal attenuation we are trying to mitigate is a long-standing problem facing with high-resolution techniques. For addressing such a problem in the fields of time-frequency transform, Gabor transform methods such as atom-window method (AWM) and molecular window method (MWM) have been reported recently. However, we observed that these methods might be much better if we partition the non-stationary seismic data into adaptive stationary segments based on the amplitude and frequency information of the seismic signal. In this study, we present a new method called amplitude-frequency partition (AFP) to implement this process in the time-frequency domain. Cases of a synthetic and field seismic data indicated that the AFP method could partition the non-stationary seismic data into stationary segments approximately, and significantly, a high-resolution result would be achieved by combining the AFP method with conventional spectral-whitening method, which could be considered superior to previous resolution-enhancement methods like time-variant spectral whitening method, the AWM and the MWM as well. This AFP method presented in this study would be an effective resolution-enhancement tool for the non-stationary seismic data in the fields of an adaptive time-frequency transform.
Sur les déformations synsédimentaires mésozoïques de la région de Macha - Pocoata - Colquechaca (Nord de Potosi - Cordillère orientale de Bolivie)

On Synsedimentary Mesozoic Deformations. A study of the region of Macha Pocoata Colquechaca, located to the North of Potosi helps to understand how the tertiary andine tectonic has superimposed its effects on existing structures of hercynian tectogenesis and.mesozoic synsedimentary movements. The mesozoic synsedimentary tectonic is attested as by the firt deposits (jurassic ? lower cretaceous) of effusion of basaltic laves intruded into the formation of Macha sandstones. by the basa1 conglomerates of the Kosmina formation discordant on the dippling, fractured and even folded layers of the Macha formation. as well as by these conglomerates which discordant on paleozoic terrasses after tilting of longitudinal elements to the NE or SW via the effects of large faults trending NW-SE or N-S. The deformation is continous during the deposit of the conglomerates and sandstones of the Kosmina formation. This is indicated by the sudden variations of their thickness on both sides of the large longitudinal faults, by the numerous synsedimentary normal to transverse faults of short duration of activity. Some of the latter faults may evolve into reverse faults (1 213, rue La Fayette, 75010 PARIS, France. (2 1 Universidad Mayor de San Andres. La Paz, Bolivie, Geodynamique 3 (l-2). 1988 : 107-I 15 107 C. MARTINE& E. VARGAS and fault folds. buried drscordantly under the higher and more fine grained levels of the Kosmina formation. Thrs series of deformatrons permits to postulate the existence of movements of distension and compression during the deposit of the ante-cenomanian layers (anterior to the Miraflores formation). wether through rapid changes of the regime of stress. or more probably wrthrn a frame of generalized compression via successively compressive and distensive local deformations due to local vanations of stress. Further comparisons wrth other areas of the Cordillera Will permit to etablish a global mechanism for the deformations observed during that epoch.
Determination of depleted uranium at the Novi Sad low-level laboratory

yields the activity concentration of depleted uranium: Activity concentration of natural uranium has been determined in environmental samples at the low-level gamma-spectroscopy laboratory of the Faculty of Science in Novi Sad for over 20 years. When the issue of stating the presence of depleted uranium in such samples arose, the unique capability of our measuring equipment (GMX type of HPGe detector with enhanced efficiency below 100 keV, and iron low level shielding) was fully exploited. An appropriate technique for detecting depleted uranium was developed. This technique and the results of measurements of about 100 environmental samples (soil, plants, water, food) are presented and discussed.
Exploring the physical controls of regional patterns of flow duration curves - Part 3: A catchment classification system based on regime curve indicators

Predictions of hydrological responses in ungauged catchments can benefit from a classification scheme that can organize and pool together catchments that exhibit a level of hydrologic similarity, especially similarity in some key variable or signature of interest. Since catchments are complex systems with a level of self-organization arising from co-evolution of climate and landscape properties, including vegetation, there is much to be gained from developing a classification system based on a comparative study of a population of catchments across climatic and landscape gradients. The focus of this paper is on climate seasonality and seasonal runoff regime, as characterized by the ensemble mean of within-year variation of climate and runoff. The work on regime behavior is part of an overall study of the physical controls on regional patterns of flow duration curves (FDCs), motivated by the fact that regime behavior leaves a major imprint upon the shape of FDCs, especially the slope of the FDCs. As an exercise in comparative hydrology, the paper seeks to assess the regime behavior of 428 catchments from the MOPEX database simultaneously, classifying and regionalizing them into homogeneous or hydrologically similar groups. A decision tree is developed on the basis of a metric chosen to characterize similarity of regime behavior, using a variant of the Iterative Dichotomiser 3 (ID3) algorithm to form a classification tree and associated catchment classes. In this way, several classes of catchments are distinguished, in which the connection between the five catchments' regime behavior and climate and catchment properties becomes clearer. Only four similarity indices are entered into the algorithm, all of which are obtained from smoothed daily regime curves of climatic variables and runoff. Results demonstrate that climate seasonality plays the most significant role in the classification of US catchments, with rainfall timing and climatic aridity index playing somewhat secondary roles in the organization of the catchments. In spite of the tremendous heterogeneity of climate, topography, and runoff behavior across the continental United States, 331 of the 428 catchments studied are seen to fall into only six dominant classes.
Incorporating Variable Source Area Hydrology into a Spatially Distributed Direct Runoff Model 1

Buchanan, Brian, Zachary M. Easton, Rebecca Schneider, and M. Todd Walter, 2011. Incorporating Variable Source Area Hydrology Into a Spatially Distributed Direct Runoff Model. Journal of the American Water Resources Association (JAWRA) 48(1): 43‐60. DOI: 10.1111/j.1752‐1688.2011. 00594.x
Niosomes gel of apigenin to improve the topical delivery: development, optimization, ex vivo permeation, antioxidant study, and in vivo evaluation

Abstract Niosomes (NS) are the promising and novel carrier of the drug for effective transdermal delivery. Apigenin (AN) is a natural bioactive compound and has various pharmacological activities. AN is poorly water soluble which directly affects therapeutic efficacy. The aim of this research work was to develop the AN-NS gel to improve transdermal delivery. The thin-film hydration method was used for the development of AN-NS. The optimized AN-NS (AN-NS2) has a vesicle size of 272.56 ± 12.49 nm, PDI is 0.249, zeta potential is −38.7 mV, and entrapment efficiency of 86.19 ± 1.51%. The FTIR spectra of the AN-NS2 depicted that AN encapsulated in the NS matrix. AN-NS2 formulation was successfully incorporated into chitosan gel and evaluated. The optimized AN-NS2 gel (AN-NS2G4) has 2110 ± 14cps of viscosity, 10.40 ± 0.21g. cm/sec of spreadability, and 99.65 ± 0.53% of drug content. AN-NS2G4 displayed significantly (p < 0.05) higher AN released (67.64 ± 3.03%) than pure AN-gel (37.31 ± 2.87%). AN-NS2G4 showed the Korsmeyer Peppas release model. AN-NS2G4 displayed significantly (p < 0.05) higher antioxidant activity (90.72%) than pure AN (64.53%) at 300 µg/ml. AN-NS2G4 displayed significantly (p < 0.05) higher % inhibition of swelling than pane AN-gel in carrageenin-induced paw oedema in rats. The finding concluded that niosomes-laden gel is a good carrier of drugs to improve transdermal delivery and therapeutic efficacy.
An integrated review of music cognition and rhythmic stimuli in sensorimotor neurocognition and neurorehabilitation

This work reviews the growing body of interdisciplinary research on music cognition, using biomechanical, kinesiological, clinical, psychosocial, and sociological methods. The review primarily examines the relationship between temporal elements in music and motor responses under varying contexts, with considerable relevance for clinical rehabilitation. After providing an overview of the terminology and approaches pertinent to theories of rhythm and meter from the musical‐theoretical and cognitive fields, this review focuses on studies on the effects of rhythmic sensory stimulation on gait, rhythmic cues’ effect on the motor system, reactions to rhythmic stimuli attempting to synchronize mobility (i.e., musical embodiment), and the application of rhythm for motor rehabilitation for individuals with Parkinson's disease, stroke, mild cognitive impairment, Alzheimer's disease, and other neurodegenerative or neurotraumatic diseases. This work ultimately bridges the gap between the musical‐theoretical and cognitive science fields to facilitate innovative research in which each discipline informs the other.
“Keep Your Chin Up, and Keep Eating”: Perceptions of Barriers and Facilitators to Healthful Dietary Behaviors Among Individuals With Gastrointestinal Cancer and Caregivers

Background This study explored perceptions of barriers and facilitators to healthful dietary behaviors among patients with gastrointestinal (GI) cancer and their caregivers, including caregiver preparedness, patient and caregiver self-efficacy for symptom management, and other environmental, social, and familial factors that may serve as barriers and facilitators to healthful eating. Methods Using a concurrent mixed methods cross-sectional study design, individuals with GI cancer receiving outpatient chemotherapy and their caregivers completed surveys, dietary assessments, and interviews. Caregiving preparedness, self-efficacy for symptom management, and dietary intake were assessed using validated instruments. Dietary quality was measured using the Healthy Eating Index (HEI)-2020. In-depth interviews explored barriers and facilitators to healthful eating, symptom management, and caregiver preparedness. Results Twenty-seven patient-caregiver dyads completed study activities (N = 54). Dietary quality scores ranged from 26 to 81, with a median score of 43 for patients and 42 for caregivers. Thematic analysis identified three barriers to healthful eating: caregiver self-efficacy and preparedness, caregiver needs are neglected, and nutrition as a source of conflict. Overall self-efficacy scores (Mdn, [IQR]) were 69.1 (45.0) for caregivers and 75.6 (34.1) for patients. Caregiver preparedness score was 2.99 ± . 87; problem areas were identified, including addressing emotional needs, fluctuating eating habits, advanced disease progression and making care activities pleasant. Despite the challenges, three main facilitators were identified: increased awareness and value of nutrition, influential others, and positive coping. Conclusion Our findings suggest the importance of developing interventions that increase nutrition-related preparedness among caregivers and self-efficacy for managing treatment side effects. Future research should continue to explore the relationship between positive coping and dietary behaviors. While engaging patients and caregivers together during dietary interventions is a promising modality, strategies for maintaining personal nutrition-related goals when facing contrasting priorities between patients and caregivers should be addressed.
Comparison of medical resources and costs among patients with coronary heart disease and impaired glucose tolerance in the Acarbose Cardiovascular Evaluation trial

Abstract Background The Acarbose Cardiovascular Evaluation (ACE) trial (ISRCTN91899513) evaluated the alpha‐glucosidase inhibitor acarbose, compared with placebo, in 6522 patients with coronary heart disease and impaired glucose tolerance in China and showed a reduced incidence of diabetes. We assessed the within‐trial medical resource use and costs, and quality‐adjusted life years (QALYs). Methods Resource use data were collected prospectively within the ACE trial. Hospitalizations, medications, and outpatient visits were valued using Chinese unit costs. Medication use was measured in drug days, with cardiovascular and diabetes drugs summed across the trial by participant. Health‐related quality of life was captured using the EuroQol‐5 Dimension‐3 Level questionnaire. Regression analyses were used to compare resource use, costs, and QALYs, accounting for regional variation. Costs and QALYs were discounted at 3% yearly. Results Hospitalizations were 6% higher in the acarbose arm during the trial (rate ratio 1.06, p = .009), but there were no significant differences in total inpatient days (rate ratio 1.04, p = .30). Total costs per participant, including study drug, were significantly higher for acarbose (¥ [Yuan] 56 480, £6213), compared with placebo (¥48 079, £5289; mean ratio 1.18, p < 0.001). QALYs reported by participants in the acarbose arm (3.96 QALYs) were marginally higher than in the placebo arm (3.95 QALYs), but the difference was not statistically significant (0.01 QALYs; p = .58). Conclusions Acarbose, compared with placebo, participants cost more due to study drug costs and reported no statistically significant difference in QALYs. These higher within‐trial costs could potentially be offset in future by savings from the acarbose‐related lower incidence of diabetes.