Miracle-dz/UniFAR-FTUs huggingface dataset:
Granulated Blast-Furnace Slag and Coal Fly Ash Ternary Portland Cements Optimization

Granulated blast-furnace slag (GBFS) and coal fly ash (CFA) are two well-known constituents in Portland cements. Ternary Portland cements (GBFS-CFA-K) provide environmental advantages by reducing Portland cement clinker (K) production and, therefore, promote lower CO2 emissions. Nevertheless, both of them cause a delay in the compressive strength gain. Given that, the early compressive strength for both constituents is low, but they improve the compressive strength at medium and later ages as consequence of the pozzolanic reaction. In this paper, a full factorial design with two levels was developed for the mortar compressive strength estimation at 2, 7 and 28 days. Mortar prisms made with 25% and 40% of granulated blast-furnace slag (GBFS) and/or coal fly ash (CFA) were tested. The effects of the interaction between GBFS and CFA on the compressive strength development of ternary Portland cement mortars were reported. Results show that the contribution of both cement constituents to the ternary mortar mix reduces the compressive strength for all the tested ages. Nevertheless, the finer the GBFS, the better ternary cement performance was achieved, showing that the synergistic effect is more effective when the finer GBFS is used, probably due to a more adequate particle size distribution. Finally, a relationship between compressive strength, fineness, GBFS content and CFA content was found for each age.
Dominance network analysis provides a new framework for studying the diversity–stability relationship

The diversity–stability relationship is a long-standing, central focus of community ecology. Two major challenges have impeded studies of the diversity–stability relationship (DSR): the difficulty in obtaining high-quality longitudinal data sets; and the lack of a general theoretical framework that can encompass the enormous complexity inherent in “diversity,” “stability,” and their many interactions. Metagenomic “Big Data” now provide high quality longitudinal data sets, and the human microbiome project (HMP) offers an unprecedented opportunity to reinvigorate investigations of DSRs. We introduce a new framework for exploring DSRs that has three parts: (1) a cross-scale measure of dominance with a simple mathematical form that can be applied simultaneously to individual species and entire communities and can be used to construct species dominance networks (SDNs); (2) analysis of SDNs based on special trio motifs, core-periphery, rich-club, and nested structures, and high salience skeletons; and (3) a synthesis of coarse-scale core/periphery/community-level stability modeling with fine-scale analysis of SDNs that further reveals the stability properties of the community structures. We apply this new approach to data from the human vaginal microbiome of the HMP, simultaneously illustrating its utility in developing and testing theories of diversity and stability while providing new insights into the underlying ecology and etiology of a human microbiomeassociated disease.
Estrategias Didácticas y sus Dinámicas en el Tratamiento de los Trastornos Específicos del Lenguaje en el Estudiantado Chileno

The work of special education teachers and speech pathologists is important in the learning process of students with specific language disorders, this work must be associated with knowledge and evidence linked to classroom. This research describes the didactic strategies of the rehabilitation process of specific language disorders used by special needs teachers and speech therapists in a special language school in Chile. The methodology used corresponds to the qualitative one with a single case study. The participants in this study were eight special needs teachers and two speech pathologists. The main findings reveal that special needs teachers and speech pathologists focus their teaching strategies on planning, evaluation, advice and meetings. In conclusion, it is stated that the didactic strategies used by the special needs teachers are linked to technical elements far from critical reflection, that is, they are associated with instrumental technical rationality.
Delayed Fourth Ventricle Outlet Obstruction after Fourth Ventricle Tumor Removal Successfully Treated with Endoscopic Third Ventriculostomy in a Pediatric Patient

Introduction: Fourth ventricle outlet obstruction (FVOO) at the level of Magendie’s and Luschka’s foramina is a rare cause of non-communicating hydrocephalus. Case Report: We present a case of a 15-year-old woman successfully operated on a fourth ventricle WHO grade 1 pilocytic astrocytoma developing a delayed FVOO five months after surgery, when the patient experienced progressive headache, nausea and gate disturbances. Magnetic resonance imaging (MRI) study showed a tetra-ventricular hydrocephalus, with enlargement and bulging of both lateral recesses and Luschka’s foramina. An endoscopic third ventriculostomy (ETV) was successfully performed. Postoperative computed tomography (CT) and MRI studies showed a significant improvement of the hydrocephalus. Conclusion: FVOO is a rare cause of hydrocephalus. Posterior fossa and fourth ventricle microsurgical procedures can produce a delayed FVOO leading to an unexpected deterioration of the clinical status of the patient. The ETV is an effective and safe procedure to treat this unusual condition.
Groundwater fluctuations during a debris flow event in Western Norway – triggered by rain and snowmelt

Abstract. Pore pressure is crucial in triggering debris slides and flows. Here we present measurements of ground water pore pressure and temperature recorded by a piezometer 1.6 m below the surface on a slope susceptible to debris flows in Western Norway. One of the largest oscillations in data collected over four years coincided with a debris flow event on the slope that occurred during storm Hilde on 15–16 November 2013. More than 100 landslides were registered during the storm. Rainfall totalled about 80–100 mm in 24 hours, locally up to 129 mm, and an additional trigger factor for the slides was a rapid rise in air temperature that caused snowmelt. On 15 November, the groundwater level in the hillslope rose by 10 cm per hour and reached 44 cm below the surface. At the same time, air temperature rose from 0 °C to over 8 °C, and the groundwater temperature dropped by 1.5 °C. The debris flow probably occurred late in the evening of 15 November, when the groundwater level reached its peak. Measurements of the groundwater in the hillslope in the period 2010–2013 show that the event in 2013 was not exceptional. Storm Dagmar on 25–26 December 2011 caused a similar rise in groundwater level, but did not trigger any failures. The data suggest that during heavy rainstorms the slope is in a critical state for a slide to be triggered for a short time – about 4–5 hours.
The Coherent and Thermal Photons Radiation in the Enzyme

This paper presents the theoretical states of radiation field in the mechanism of enzyme, for state of thermal and coherent radiation by concept of the quantum mechanics. For illustrating the energy and distribution of photon, we used simple concepts of the radiation field in the enzyme. We try to present the thermal radiation and coherent radiation happened in the biological microscopic system especially in the enzyme, and show that, these radiations could break the hydrogen bond pairs in the enzyme (substrate) at high temperature (above 323K) and show its effects on the relative activity of the enzyme.
Intellectual Capital Investment and Firm Performance of the Malaysian Energy Sector: A New Perspective From a Nonlinearity Test

This study examines the association between intellectual capital investment and firm performance of the Malaysian energy sector. A non-linear relationship between intellectual capital investment and firm performance is established. At low levels of intellectual capital investment, increasing investments in intellectual capital improve firm performance. After a cut-off point, increments to intellectual capital investment reduce firm performance.
A unique blueschist facies metapelite with Mg-rich chloritoid from the Badajoz-Córdoba Unit (SW Iberian Massif): correlation of Late Devonian high-pressure belts along the Variscan Orogen

ABSTRACT The Badajoz-Córdoba Unit (BCU, SW Iberian Massif) is a Variscan high-P unit mainly constituted by metapelites, metagreywackes, orthogneisses, Grt-amphibolites, and retrogressed eclogites (high-P metamorphism at c. 377 Ma). Discovery of rare metapelites with well-preserved high-P mineral assemblages, including large garnets up to 1 cm in diameter with abundant inclusions, chloritoid (up to XMg = 0.32), kyanite, staurolite, chlorite, phengite (up to Si = 3.16 apfu), paragonite, margarite, and rutile, allows detailed determination of the tectonothermal evolution of the unit. Pseudosection modelling of representative samples indicates that this mineral assemblage formed in blueschist facies (near eclogite facies transition) at P conditions higher than 20 kbar at c. 525°C and that it underwent a subsequent severe exhumation and moderate heating. The lithological composition of the BCU, the age of high-P metamorphism and the characteristics of the high-P mineral assemblages are similar to those found in other high-P and low to intermediate-T units of the Variscan Orogen. All these units form part of a single blueschist-eclogite facies metamorphic belt formed during Late Devonian subduction of the external margin of Gondwana.
Genome-Wide Analysis of the Trehalose-6-Phosphate Synthase (TPS) Gene Family and Expression Profiling of ScTPS Genes in Sugarcane

The trehalose-6-phosphate synthase (TPS) gene family plays important roles in conferring plant stress resistance, but a comprehensive analysis of the gene family is lacking for sugarcane (Saccharum spp. hybrids). The objective of this study is to document functional classification, evolutionary characterization, and expression profiling of sugarcane TPS gene (ScTPS) family. Nine putative ScTPS genes were identified and assigned to two distinct classes based on gene structure and phylogeny. Phylogenetic analysis showed that 31 TPS genes from Arabidopsis, rice and sugarcane could be divided into five distinct clades, suggesting that there were at least five orthologous groups in monocot and dicot plants. Evolution analysis of TPS genes revealed that TPS family members appeared to have undergone strong negative selection. The strength of the selective pressure differed in most clades, especially Class I TPS genes, experienced significantly stronger negative selection pressure than Class II TPS genes. There were also cis-regulatory elements related to phytohormones and abiotic stresses. Additionally, ScTPS genes were found to exhibit divergent expression in response to simulated drought, salinity, and ABA stresses. Since ScTPS genes function in sugarcane adaptation to environmental stimuli, it might be used as a molecular marker in screening sugarcane germplasm for increased stress resistance.
The Effect of Using Clustering Technique on Students’ Achievement in Writing Descriptive Text

The objective of this research was to find out the significant effect of using clustering technique on students’ achievement in writing descriptive text. Culstering technique used to improve students ability in wirting especially writing descriptive text. This research was conducted at SMP Cerdas Murni Tembung Jl. Beringin Pasar VII no.33 Tembung. The method of this research is quantitative method. The total population of this research was 91 students of the academic year 2019/2020. The researcher just took one class as the sample. The sample consisted of 30 students from VIII-1 class and choosen by using cluster random sampling technique. The writer divided the class into two groups, that are experimental group and non-experimental group. The experimental group was taught by using cluster technique. The data for this research taken from pre-test and post-test of the written test. The experimental group was given pre-test and post-test. After the data has been collected, these were analyzed by using t-test formula. The result of the analysis showed that t observe (5.215) was higher than t table (1.701) with the level of significant α = 0.05. The final hypothesis showed that Ho was rejected and Ha was accepted. It means that there was a significant effect of using clustering technique on students’ achievement in writing descriptive text.
Convergence Results on the Boundary Conditions for 2D Large-Scale Primitive Equations in Oceanic Dynamics

In this paper, the initial boundary value problem for the two-dimensional large-scale primitive equations of large-scale oceanic motion in geophysics is considered, which are fundamental models for weather prediction. By establishing rigorous a priori bounds with coefficients and deriving some useful inequalities, the convergence result for the boundary conditions is obtained.
Multicomponent removal of heavy metals from aqueous solution using low-cost sorbents

Recently, some materials from natural or industrial origin have been received attention as possible sorbents for the removal of heavy metals from water due to their acceptable sorption behavior, low cost and large availability. Most of the heavy metals sorption studies using low-cost sorbents are concerned with monometallic systems. However, the industrial wastewaters usually contain more than one metallic specie and, therefore, it is necessary to study and understand the sorption behavior under competitive conditions (i.e., when several metallic species are present). This chapter provides a brief overview of various low-cost sorbents that have been used as sorbent for heavy metal removal in aqueous solution under competitive conditions. The discussion is especially focused on the results reported for sorption studies using some sorbents from different origin, their relative advantages and sorption capacities in multimetallic solutions. Finally, the description and the application of classical multicomponent sorption models are provided including some guidelines for a reliable parameter estimation procedure. 1 * Corresponding author: petriciolet@hotmail.com H. E. Reynel-Avila, D. I. Mendoza-Castillo, V. Hernandez-Montoya et al. 2
Treatment Selection for Early to Intermediate Hepatocellular Carcinoma

Many guidelines and standard therapies have been published for the treatment of hepatocellular carcinoma (HCC). Multiple options for the treatment of early to intermediate-stage HCC have resulted in several differences between the guidelines. In addition, more than a few non-standard therapies have been used in a real-world clinical setting. Radiofrequency ablation or chemotherapy, including hepatic arterial infusion chemotherapy and molecular target agents, are sometimes selected for the treatment of intermediate HCC, whereas in many guidelines, the recommended therapy for these patients is transcatheter arterial chemoembolization. The present status of these topics is reviewed and summarized.
Primary progressive apraxia of speech: from recognition to diagnosis and care

ABSTRACT Background Apraxia of speech (AOS) can be caused by neurodegenerative disease and sometimes is its presenting sign (i.e., primary progressive apraxia of speech, PPAOS). During the last several decades, our understanding of PPAOS has evolved from clinical recognition to a fuller understanding of its core and associated clinical features, its distinction from but relationship with primary progressive aphasia, its temporal course and eventual progression to include other neurological deficits, and its neuroimaging correlates and underlying pathology. Aims This paper provides a comprehensive summary of the literature that has built the current knowledge base about PPAOS and progressive AOS as it co-occurs with progressive aphasia. It reviews the history of its emergence as a recognized syndrome; its relationship with the agrammatic/nonfluent variant of primary progressive aphasia; its salient perceptual features and subtypes; the acoustic and structural/physiological imaging measures that index its presence, severity, and distinction from aphasia; and principles and available data regarding its management and care. Main Contribution A broad summary of what is known about AOS as a manifestation of neurodegenerative disease. Conclusions Primary progressive apraxia of speech is a recognizable syndrome that can be distinguished from other neurodegenerative conditions that affect speech and language. Abbreviations AAC = augmentative and alternative communication; AES = Articulatory Error Score; ALS = amyotrophic lateral sclerosis; AOS = apraxia of speech; AOS+PAA = AOS plus the agrammatic/nonfluent variant of PPA; ASRS = Apraxia of Speech Rating Scale; CBD = corticobasal degeneration; CBS = corticobasal syndrome; DAOS = dominant AOS – aphasia present but AOS more severe; MSD = motor speech disorders; nfPPA = nonfluent variant of PPA, with or without AOS; NVOA = nonverbal oral apraxia; PAOS = progressive AOS, with or without aphasia; PAA = agrammatic variant of PPA, without AOS; PPA = primary progressive aphasia, with or without AOS; PPAOS = primary progressive AOS - no aphasia; PSP = progressive supranuclear palsy; SMA = supplementary motor area.
A process for the preparation of cyclohexanone oxime

The production of cyclohexanonoxim by the reaction of cyclohexanone with a hydroxyl ammonium salt, i.e. hydroxyl ammonium formiate, and the production of caprolactam by the Beckmann rearrangement of cyclohexanonoxim in a C1-C4 carboxylic acid.
Canine models of spine disorders

Neck and low back pain are common among the adult human population and impose large social and economic burdens on health care and quality of life. Spine‐related disorders are also significant health concerns for canine companions with etiopathogeneses, clinical presentations, and diagnostic and therapeutic options that are very similar to their human counterparts. Historically, induced and spontaneous pathology in laboratory rodents, dogs, sheep, goats, pigs, and nonhuman primates have been used for study of human spine disorders. While each of these can serve as useful preclinical models, they all have inherent limitations. Spontaneously occurring spine disorders in dogs provide highly translatable data that overcome many of the limitations of other models and have the added benefit of contributing to veterinary healthcare as well. For this scoping review, peer‐reviewed manuscripts were selected from PubMed and Google Scholar searches using keywords: “intervertebral disc,” “intervertebral disc degeneration,” “biomarkers,” “histopathology,” “canine,” and “mechanism. ” Additional keywords such as “injury,” “induced model,” and “nucleus degeneration” were used to further narrow inclusion. The objectives of this review were to (a) outline similarities in key features of spine disorders between dogs and humans; (b) describe relevant canine models; and (c) highlight the applicability of these models for advancing translational research and clinical application for mechanisms of disease, diagnosis, prognosis, prevention, and treatment, with a focus on intervertebral disc degeneration. Best current evidence suggests that dogs share important anatomical, physiological, histological, and molecular components of spinal disorders in humans, such that induced and spontaneous canine models can be very effective for translational research. Taken together, the peer‐reviewed literature supports numerous advantages for use of canine models for study of disorders of the spine when the potential limitations and challenges are addressed.
Nonlinear predictive control employing Carleman bilinearization and fixed search directions

This work is concerned with the predictive control of nonlinear systems using the Carleman bilinearization technique. Given a nonlinear system model with sufficient regularity, a bilinear approximation can be obtained by means of Carleman's technique. After discretizing the continuous time model, several algorithms exist to tackle the bilinear model predictive control (BMPC) problem. More specifically, the present work exploits the combination of Carleman's approximation with a fixed search directions algorithm previously proposed within the context of BMPC. Simulations are carried out in order to compare predictive controllers designed using bilinear and linear plant models, but acting on the original nonlinear system. Moreover, the fixed search directions algorithm is compared with the use of a standard interior point optimizer. As a result, the proposed method is shown to provide improvements in terms of either stability, constraint satisfaction or reduced computational effort.
On-Chip Fuzzy Logic Synthesis of a New Ischemic and Non-Ischemic Heartbeat Classifier

This brief presents a new ischemic and non-ischemic heartbeat classifier, which is highly synthesizable for on-chip applications. The classifier consists of an algorithm analyzing the electrocardiogram (ECG) shape to distinguish ischemia. It emulates medical expertise in cardiac ischemia diagnosis using a digital fuzzy logic system. The proposed fuzzy sets obtain information to classify ischemic and non-ischemic heartbeats, helping in discarding false positives. The work presents the physical implementation and experimental results on-chip in a CMOS 180nm process. The algorithm tests 20 electrocardiogram recordings from the Long-Term ST database in Physionet, verifying the method. The experimental results, with an 8-bit resolution, exhibit a sensitivity (Se) of 96.43 percent and specificity (Sp) of 96.88 percent with a (300 $\times$ 325) squared microns digital circuit. The implementation of the algorithm, with 14-bit resolution, shows a performance increase in (Se) of 99.03 percent and specificity (Sp) of 99.08 percent, solely using two ECG descriptors.
Capacidad predictiva de la inteligencia emocional sobre el apoyo social percibido de adolescentes

Through this study we seek to analyze the predictive capacity of emotional intelligence measured, both from a model of skills (attention, clarity and emotional repair) and a mixed model (intrapersonal, interpersonal, stress management and adaptability), on each of the sources of perceived social support (family, friends and significant people), according to sex and age. The sample consisted of 1030 secondary school students aged between 11 and 19 years living in the Dominican Republic. The results indicate that emotional intelligence predicts the perception of social support in the samples of both sexes, even though in the female sample the explanatory effect is greater than in the males. It is also observed that the predictive capacity is greater in middle adolescence. These data reinforce the need to develop emotional intelligence. © 2020 Fundación Universitaria Konrad Lorenz. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/). Capacidad predictiva de la inteligencia emocional sobre el apoyo social percibido de adolescentes Mercedes Nancy Jiménez Rosarioa*, Inge Axpe Sáeza e Igor Esnaolab a Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Vizcaya, España b Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Gipuzkoa, España Recibido el 4 de febrero de 2020; aceptado el 10 de junio de 2020 PALABRAS CLAVE Inteligencia emocional, apoyo familiar, apoyo de los amigos, apoyo de personas significativas, adolescencia * Autor para correspondencia. Correo electrónico: mercedesnancyjimenez@gmail.com https://doi.org/10.14349/sumapsi.2020. v27.n1. 3 ISSN 0121-4381, ISSN-E 2145-9797/© 2020 Fundación Universitaria Konrad Lorenz. Este es un artículo Open Access bajo la licencia CC BY-NCND (http://creativecommons.org/licenses/by-nc-nd/4.0/).