Miracle-dz/UniFAR-FTUs huggingface dataset:
ESTUDIO DE VIABILIDAD AMBIENTAL PARA LA LOCALIZACIÓN DE PARQUES EÓLICOS EN UN MUNICIPIO DE LA REGIÓN DE MURCIA

Un Parque Eolico esta constituido por un conjunto de Aerogeneradores que vierten la energia que producen a la red electrica. En general, los Parques Eolicos pueden provocar impactos sobre el medio natural, de ahi que haya que buscar emplazamientos donde se garantice la compatibilidad entre la produccion energetica, la conservacion de los valores naturales y paisajisticos del entorno y las necesidades socioeconomicas de la zona.
Big Data-Based Smart Health Monitoring System: Using Deep Ensemble Learning

Human life has become smarter by utilizing big data, telecommunication technologies, and wearable sensors over pervasive computing to give better healthcare services. Big data is built with the possibility to improve the healthcare industry. Big data makes the interconnection between patients, wearable sensors, healthcare caregivers, and providers through the utilization of Information and Communication Technology (ICT) and software. Most of the economic challenges in developing countries are caused by the healthcare sector, which occurs predominantly due to the increasing population requiring more quality of care concerning older people. Older people need great attention and care as they lead with irreparable damages when a minor accident or insignificant disease occurs. Therefore, the necessity of implementing new technologies and tools has arisen to support senior citizens regarding their healthcare. Various advancements in wireless technology, miniaturization, computing power, and processing made diverse healthcare innovations that led to developing the connected medical devices. Hence, this proposal develops a new healthcare monitoring system for tracking the activities of elderly people, where the Hadoop MapReduce technique for parallel processing the large-sized data. The data collected as mentioned in the available datasets is performed by using the numerous wearable sensors fixed on the “subject’s left ankle, right arm, and chest” that are transformed to the cloud platform and also to the data analytics layer according to the Internet of Medical Things (IoMT) devices. The given input undergoes data splitting to produce tiny chunks. These small chunks of the input files are then considered as Map tasks. Here, in the map phase, the features are optimally selected by the Hybrid Dingo Coyote Optimization (HDCO). The combiner phase classifies the physical activities using the developed Deep Ensemble Learning (DEL) consisting of classifiers such as “Extreme Learning Machine (ELM), deep Convolutional Neural Network (CNN), Long short-term memory (LSTM), Deep Belief Network (DBN), and Deep Neural Network (DNN)”. The parameter tuning in these classifiers is done by the same HDCO. The reducer phase extracts data from different chunks by merging the same classes. The developed HDCO-DEL has secured 13.66%, 16.01%, 17.33%, 13.6%, and 14.01% better accuracy than ELM, CNN, LSTM, DBN, DNN, and HealthFog, respectively on second dataset. The comparison with existing methods shows its better performance and also predicts physical activities with overall high accuracy.
A Seventeen-Level Step-Up Switched-Capacitor-Based Multilevel Inverter With Reduced Charging Current Stress on Capacitors for PV Applications

Because of serious challenges such as air pollution, global warming, and fossil fuels limitations, renewable energy sources such as photovoltaic (PV) systems are increasingly being integrated into the power systems around the world. In this article, a new grid-tied system is proposed for PV applications which consists of an improved flyback DC-DC converter and a new switched-capacitor (SC) based multilevel inverter. Over previously introduced topologies in the same class, the proposed SC-based multilevel inverter has many advantages like reduced number of power switches and DC voltage sources, and also increased number of voltage levels produced at the output. In the proposed structure, one of the most important problems of the capacitive switching inverters, i.e. the occurrence of the impact currents during charging capacitors, is solved by using an inductor with a parallel diode in the capacitive charging current path. This increases the efficiency of the converter and reduces the charging current stress on the capacitors. To validate the performance of the proposed topology, comprehensive experiments and comparisons have been performed and presented. In the experiments, a current controller is used to control the amount of active and reactive power injected to the grid by the proposed grid-tied 17-levels inverter.
Cenozoic unroofing history of the Ladakh Batholith, western Himalaya, constrained by thermochronology and numerical modelling

Abstract: The Ladakh Batholith is part of the Transhimalayan Plutonic Belt, which crops out north of the Indus Suture Zone. We propose that the exhumation history of the Ladakh Batholith is linked to the tectonic, magmatic and erosion history of the Karakoram terrane and SW Tibet. We present new multiple low-temperature thermochronometry data (zircon (U–Th)/He, apatite fission-track and apatite (U–Th)/He) to gain insight into the cooling history of the Ladakh Batholith and recognize key periods in the evolution of the region. From the Indus Valley northwards the ages decrease across the batholith for all three thermochronometers applied. A model is proposed in which magmatism in the Ladakh Batholith ceased in the Late Eocene and initial denudation was driven by topographic uplift caused by collision. Southward tilting of the batholith occurred in the Late Palaeogene. This tilting resulted in an asymmetric topography with increasing elevation to the north. Strong erosion occurred in this northern region whereas the southern margin was affected by northwards thrusting of the Indus Molasse. For the first time, clear temporal and spatial variations in exhumation rate are identified in this region, highlighting why sampling strategy is critical in documenting exhumation changes in active tectonic settings. Supplementary material: Sample co-ordinates from the Ladakh Batholith, sample preparation and fission-track age measurements of apatite grains and grain size dimensions are available at http://www.geolsoc. org.uk/SUP18350.
Gene Variants Implicated in Steatotic Liver Disease: Opportunities for Diagnostics and Therapeutics

Non-alcoholic fatty liver disease (NAFLD) describes a steatotic (or fatty) liver occurring as a consequence of a combination of metabolic, environmental, and genetic factors, in the absence of significant alcohol consumption and other liver diseases. NAFLD is a spectrum of conditions. Steatosis in the absence of inflammation is relatively benign, but the disease can progress into more severe forms like non-alcoholic steatohepatitis (NASH), liver cirrhosis, and hepatocellular carcinoma. NAFLD onset and progression are complex, as it is affected by many risk factors. The interaction between genetic predisposition and other factors partially explains the large variability of NAFLD phenotype and natural history. Numerous genes and variants have been identified through large-scale genome-wide association studies (GWAS) that are associated with NAFLD and one or more subtypes of the disease. Among them, the largest effect size and most consistent association have been patatin-like phospholipase domain-containing protein 3 (PNPLA3), transmembrane 6 superfamily member 2 (TM6SF2), and membrane-bound O-acyltransferase domain containing 7 (MBOAT7) genes. Extensive in vitro and in vivo studies have been conducted on these variants to validate these associations. The focus of this review is to highlight the genetics underpinning the molecular mechanisms driving the onset and progression of NAFLD and how they could potentially be used to improve genetic-based diagnostic testing of the disease and develop personalized, targeted therapeutics.
Monitoring Vegetation Response to Episodic Disturbance Events by using Multitemporal Vegetation Indices

ABSTRACT Steyer, G.D. ; Couvillion, B.R. , and Barras, J.A. , 2013. Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices In: Brock, J.C. ; Barras, J.A. , and Williams, S.J. (eds.), Understanding and Predicting Change in the Coastal Ecosystems of the Northern Gulf of Mexico, Journal of Coastal Research, Special Issue No. 63, pp. 118–130, Coconut Creek (Florida), ISSN 0749-0208. Normalized Difference Vegetation Index (NDVI) derived from MODerate-resolution Imaging Spectroradiometer (MODIS) satellite imagery and land/water assessments from Landsat Thematic Mapper (TM) imagery were used to quantify the extent and severity of damage and subsequent recovery after Hurricanes Katrina and Rita of 2005 within the vegetation communities of Louisiana's coastal wetlands. Field data on species composition and total live cover were collected from 232 unique plots during multiple time periods to corroborate changes in NDVI values over time. Aprehurricane 5-year baseline time series clearly identified NDVI values by habitat type, suggesting the sensitivity of NDVI to assess and monitor phenological changes in coastal wetland habitats. Monthly data from March 2005 to November 2006 were compared to the baseline average to create a departure from average statistic. Departures suggest that over 33% (4,714 km2) of the prestorm, coastal wetlands experienced a substantial decline in the density and vigor of vegetation by October 2005 (poststorm), mostly in the east and west regions, where landfalls of Hurricanes Katrina and Rita occurred. The percentage of area of persistent vegetation damage due to long-lasting formation of new open water was 91.8% in the east and 81.0% and 29.0% in the central and west regions, respectively. Although below average NDVI values were observed in most marsh communities through November 2006, recovery of vegetation was evident. Results indicated that impacts and recovery from large episodic disturbance events that influence multiple habitat types can be accurately determined using NDVI, especially when integrated with assessments of physical landscape changes and field verifications.
Effects of Storage Temperatures on Nitrogen Assimilation and Remobilization during Post-Harvest Senescence of Pak Choi

In the agricultural industry, the post-harvest leafy vegetable quality and shelf life significantly influence market value and consumer acceptability. This study examined the effects of different storage temperatures on leaf senescence, nitrogen assimilation, and remobilization in Pak Choi (Brassica rapa subsp. chinensis). Mature Pak Choi plants were harvested and stored at two different temperatures, 4 °C and 25 °C. Senescence was tracked via chlorophyll content and leaf yellowing. Concurrently, alterations in the total nitrogen, nitrate, and protein content were quantified on days 0, 3, 6, and 9 in old, mid, and young leaves of Pak Choi plants. As expected, 4 °C alleviated chlorophyll degradation and delayed senescence of Pak Choi compared to 25 °C. Total nitrogen and protein contents were inversely correlated, while the nitrate content remained nearly constant across leaf groups at 25 °C. Additionally, the transcript levels of genes involved in nitrogen assimilation and remobilization revealed key candidate genes that were differentially expressed between 4 °C and 25 °C, which might be targeted to extend the shelf life of the leafy vegetables. Thus, this study provides pivotal insights into the molecular and physiological responses of Pak Choi to post-harvest storage conditions.
Hydrated states of MgSO4 at equatorial latitudes on Mars

The stability of water ice, epsomite, and hexahydrite to loss of H2O molecules to the atmosphere at equatorial latitudes of Mars was studied to determine their potential contributions to the measured abundance of water‐equivalent hydrogen (WEH). Calculation of the relative humidity based on estimates of yearly averages of water‐vapor pressures and temperatures at the Martian surface was used for this purpose. Water ice was found to be sufficiently unstable everywhere within 45° of the equator that if the observed WEH is due to water ice, it requires a low‐permeability cover layer near the surface to isolate the water ice below from the atmosphere above. In contrast, epsomite or hexahydrite may be stable in many near‐equatorial locations where significant amounts of WEH are observed.
Identifying metamorphic relations: A data mutation directed approach

Metamorphic testing (MT) is an effective technique to alleviate the test oracle problem. The principle of MT is to detect failures by checking whether some necessary properties, commonly known as metamorphic relations (MRs), of software under test (SUT) hold among multiple executions of source and follow‐up test cases. Since both the generation of follow‐up test cases and test result verification depend on MRs, the identification of MRs plays a key role in MT, which is an important yet difficult task requiring deep domain knowledge of the SUT. Accordingly, techniques that can direct a tester to identify MRs effectively are desirable. In this paper, we propose MT, a data mutation directed approach to identifying MRs. MT guides a tester to identify MRs by providing a set of data mutation operators and template‐style mapping rules, which not only alleviates the difficulties faced in the process of MR identification but also improves the identification effectiveness. We have further developed a tool to implement the proposed approach and conducted an empirical study to evaluate the MR identification effectiveness of MT and the performance of MRs identified by MT with respect to fault detection capability and statement coverage. The empirical results show that MT is able to identify MRs for numeric programs effectively, and the identified MRs have high fault detection capability and statement coverage. The work presented in this paper advances the field of MT by providing a simple yet practical approach to the MR identification problem.
Global Estimation of the Eddy Kinetic Energy Dissipation From a Diagnostic Energy Balance

Mesoscale eddies dominate the ocean kinetic energy reservoir. However, how and where this energy flows out from the mesoscale remains uncertain. Here, a simplified mesoscale energy budget is used where sources due to baroclinic instability are balanced by all the dissipative processes approximated as a linear damping rate. In this simple model, the eddy kinetic energy (EKE) dissipation is computed from a climatological mean field of density and satellite altimeter data, and is proportional to an eddy efficiency parameter α. Assuming an eddy efficiency of α = 0.1, we find a global EKE dissipation rate of 0.66 ± 0.19 TW. The results show an intense dissipation near western boundary currents and in the Antarctic Circumpolar Current, where both large levels of energy and baroclinic conversion occur. The resulting geographical distribution of the dissipation rate brings new insights for closing the ocean kinetic energy budget, as well as constraining future mesoscale parameterizations and associated mixing processes.
Brushlines in fault pseudotachylytes: A new criterion for coseismic slip direction

Striations along fault planes, such as slickensides, generally indicate slip direction. These linear structures typically form through friction between two solids. Here we describe brushlines, a new class of fault striation in pseudotachylytes, formed during coseismic slip at the interface between host rock and frictional melt. Unlike slickensides, brushlines primarily lack longitudinal step-like asymmetry and display a hemicylindrical morphology. This new class of striation forms while the frictional melt has sufficiently low viscosity to be brushed along the direction of coseismic displacement by small asperities on the host-rock block. In the Hoping River pseudotachylytes of eastern Taiwan, the long axis of brushlines is parallel to the earthquake slip direction determined using the offset of piercing points across the fault. This study shows that the pseudotachylyte–host rock interface may host previously overlooked, invaluable coseismic kinematic information.
Gallic Acid Protects Against Methotrexate - Induced Intestinal Mucositis; Oxidative Stress, Histopathology and Inflammatory Status

Background: Gastrointestinal (GI) mucositis is one of the serious side effects of methotrexate (MTX) treatment. It is known that oxidative stress plays an important role in drug-induced side effects. Objectives: The present study aimed to assess the effect of Gallic acid (GA) against MTX-induced intestinal mucositis in male Wistar rats. Methods: Twenty-eight adult male Wistar rats were randomly divided into 4 groups (n = 7), including (1) control group; (2) GA group (Gallic acid: 30 mg/kg/day, orally); (3) MTX group (20 mg/kg, intra peritoneal (IP)); and (4) (MTX + GA) group (MTX: 20 mg/kg, IP and Gallic acid: 30 mg/kg/day, orally). Then amounts of malondialdehyde (MDA), nitric oxide (NO), glutathione peroxidase (GPx), glutathione (GSH), superoxide dismutase (SOD), interleukin 2 (IL-2) and interleukin 6 (IL-6) were analyzed in serum samples and then the histopathological examinations of the duodenum and jejunum of animals groups. Results: The results showed that treatment with GA significantly reduced the MTX-induced elevation of serum MDA (P < 0.001), NO (P < 0.001), IL-2 (P < 0.001) and IL-6 (P < 0.001) contents and increased MTX-induced reduction in GSH (P < 0.001) content, GPx (P < 0.001) and SOD (P < 0.001) activity. In addition, the histopathological results showed that MTX leads to intestinal tissue damage, and Gallic acid can remarkably improve the pathological changes. Conclusions: Our results indicate that Gallic acid can mitigate oxidative stress and pro-inflammatory parameters and also moderately prevent histopathological damage of the small intestine of rats exposed to MTX.
A Global Ocean-Atmosphere Climate Model. Part II. The Oceanic Circulation

Abstract A numerical experiment has been carried out with a joint model of the ocean and atmosphere. The 12-level model of the world ocean predicts the fields of horizontal velocity, temperature and salinity. It includes the effects of bottom topography, and a simplified model of polar pack ice. The numerical experiment allows the joint ocean-atmosphere model to seek an equilibrium over the equivalent of 270 years in the ocean time scale. The initial state of the ocean is uniform stratification and complete rest. Although the final temperature distribution is more zonal than it should be, the major western boundary currents and the equatorial undercurrent are successfully predicted. The calculated salinity field has the correct observed range, and correctly indicates that the Atlantic is saltier than the Pacific. It also predicts that the surface waters of the North Pacific are less saline than the surface waters of the South Pacific in accordance with observations. The pack ice model predicts heavy ice i.
Diffraction velocity analysis by path‐integral seismic imaging

We propose a framework for diffraction imaging and velocity analysis that combines the methods of velocity continuation and path-integral imaging. Zero-offset diffractions are separated from reflection data and efficiently imaged with a suite of constant-velocity models using a spectral implementation of velocity continuation. An unweighted path-integral image is constructed by summing all of these constant-velocity images, which amplifies events that are stationary between images and attenuates those that change position. Diffraction apexes remain stationary and are thus amplified relative to diffraction flanks and migration artifacts, yielding an estimate of the migrated image. The path-integral image is spatially blurred relative to the ideal result, and the amount of spatial blurring is related to the range of velocities used to construct it. Therefore, we use the path-integral image as an intermediate result—with which we compare each of the velocity continuation test images using local similarity. At each t-x location, the test image with the highest similarity to the path-integral indicates a likely effective migration velocity. The local velocity estimates are combined to yield a heterogeneous effective-medium migration velocity model, and its corresponding diffraction image.
Adaptive Signal-to-Noise Ratio Indicator for Wearable Bioimpedance Monitoring

Bioimpedance monitoring is an increasingly important non-invasive technique for assessing physiological parameters such as body composition, hydration levels, heart rate, and breathing. However, sensor signals obtained from real-world experimental conditions invariably contain noise, which can significantly degrade the reliability of the derived quantities. Therefore, it is crucial to evaluate the quality of measured signals to ensure accurate physiological parameter values. In this study, we present a novel wrist-worn wearable device for bioimpedance monitoring, and propose a method for estimating signal quality for sensor signals obtained on the device. The method is based on the continuous wavelet transform of the measured signal, identification of wavelet ridges, and assessment of their energy weighted by the ridge duration. We validate the algorithm using a small-scale experimental study with the wearable device, and explore the effects of variables such as window size and different skin/electrode coupling agents on signal quality and repeatability. In comparison with traditional wavelet-based signal denoising, the proposed method is more adaptive and achieves a comparable signal-to-noise ratio.
Geology of five small Australian impact craters

Here we present detailed geological maps and cross-sections of Liverpool, Wolfe Creek, Boxhole, Veevers and Dalgaranga craters. Liverpool crater and Wolfe Creek Meteorite Crater are classic bowl-shaped, Barringer-type craters. Liverpool was likely formed during the Neoproterozoic and was filled and covered with sediments soon thereafter. In the Cenozoic, this cover was exhumed exposing the crater's brecciated wall rocks. Wolfe Creek Meteorite Crater displays many striking features, including well-bedded ejecta units, crater-floor faults and sinkholes, a ringed aeromagnetic anomaly, rim-skirting dunes, and numerous iron-rich shale balls. Boxhole Meteorite Crater, Veevers Meteorite Crater and Dalgaranga crater are smaller, Odessa-type craters without fully developed, steep, overturned rims. Boxhole and Dalgaranga craters are developed in highly foliated Precambrian basement rocks with a veneer of Holocene colluvium. The pre-existing structure at these two sites complicates structural analyses of the craters, and may have influenced target deformation during impact. Veevers Meteorite Crater is formed in Cenozoic laterites, and is one of the best-preserved impact craters on Earth. The craters discussed herein were formed in different target materials, ranging from crystalline rocks to loosely consolidated sediments, containing evidence that the impactors struck at an array of angles and velocities. This facilitates a comparative study of the influence of these factors on the structural and topographic form of small impact craters.