Miracle-dz/UniFAR-FTUs huggingface dataset:
CATEGORIZACIÓN DE COMENTARIOS, SEGÚN LA EMOCIÓN EXPRESADA, UTILIZANDO PROCESAMIENTO DE LENGUAJE NATURAL Y LINGÜÍSTICA COMPUTACIONAL

The present study aims to generate a predictive model capable of categorizing comments originating from the social network Twitter, through an analysis process denominated “Emotion Analysis”. In particular, this study looks to find an alternative means of fulfilling one of the functions on the platform of the Chilean company Wholemeaning, which through the use of diverse linguistic algorithms is able to categorize text according to feeling (or emotion) presented in writing. Though the procedure works very well when creating other kinds of categorization, it is incapable of correctly tagging all the different types of commentary realized within the area of emotion. In the Chilean context, the difficulty arises when the jargon and variation in form that people use to express an idea, whether it be through curse words or using very specific phrases, inhibits the linguistic model from capturing all the variants presented. The proposed method is based on the use of Natural Language Processing (NLP) and Computational Linguistics (CL), which are strongly complemented with algorithms from an area of Machine Learning known as Deep Learning. The resulting tool that can be generated is capable of processing text originating from Chilean users, attempting to capture the jargon of typical Chilean idioms, and permitting the correct tagging of observed comments.
Two-stage Hybrid A* path-planning in large petrochemical complexes

In this study, we aim to achieve path-planning for firefighter robots in large petrochemical complexes. In large environments, path-planning (e.g., Hybrid A*) requires a large computation memory and a long execution time. These constrains are not feasible for firefighter robots. In order to overcome these two challenges, we propose a two-stage hybrid A* path-planning. For the first stage we use a global path-planner that makes a path using a low-resolution grid map of 2 m. The global path-planner generates a path for an area of approx. 500 m ×1000 m in 10 seconds. In the second stage, we refine the path by using a local-planner that uses a local-map of 100 m ×100 m size around the robot with a high resolution grid of 1 m. The local planner receives its sub-goal from the global planner and recalculates a local path at a high speed of a few hundred milliseconds. Therefore, the local-planner can react to changes of the map due to obstacles in real-time. We evaluated our proposed method by comparing with conventional hybrid A* in simulated as well as real experimental data of petrochemical complexes. By employing the local-planner our method could drastically reduce the used memory and execution time for the re-planning. For a trajectory of 600 m, our method reduces the execution time by 99.2% for real data and by 94.34% for simulated data. The memory usage was likewise drastically reduced by 97.45% for real data and by 97.91% for simulated data.
A Novel Link Between REC2, a DNA Recombinase, the Retinoblastoma Protein, and Apoptosis*

The REC2 recombinase is essential for recombinational repair following DNA damage as well as for successful meiosis and gene targeting in the corn smut Ustilago maydis. Here we report that overexpression of REC2 induced apoptotic cell death in human HuH-7, Hep G2, and Hep 3B hepatoma cells. Apoptosis was related to recombinase activity and was significantly increased by inhibition of retinoblastoma (Rb) expression with transforming growth factor-β1. REC2-induced apoptosis was associated with a significantly reduced percentage of cells in the G1phase of the cell cycle and a significant reduction in G2/M only in theRb( − / − )Hep 3B cells. Overexpression of REC2 resulted in increased abundance of the hyperphosphorylated form of Rb. However, by immunoprecipitation REC2 was associated primarily with hypophosphorylated Rb, suggesting that REC2 may be involved in modulating the phosphorylation state of Rb. The A and B pocket domains with the spacer amino acid sequence and the carboxyl-terminal region of Rb were required for maximal binding to REC2. Overexpression of Rb significantly inhibited REC2-induced apoptosis even in the presence of transforming growth factor-β1. Taken together, these data suggest a novel interaction of Rb with the recombinase REC2 and a role for this complex in bridging DNA recombination and apoptosis.
The Role of Middle Managers in the Transmission and Integration of Organizational Culture

EXECUTIVE SUMMARY When organizations merge, the role of the middle manager as an agent of change is to make sense of, unite, and transmit the organization's culture. This process is complicated because the manager must get deep inside a new organization's culture and come to know its needs, processes, and people in a relatively short period of time to weld them all together into a smoothly functioning entity. Schein (1999) proposes eight essential steps that the manager must accomplish if cultural change is to occur. Bennis's (1989) four competencies of leadership is a framework to categorize and record actions that create a milieu of clear‐cut goals, values, and basic assumptions for the organization's employees. Combining these two theoretical models illustrates how middle managers are able to create a “pull” style of influence (Kotler 2000) to attract and energize people to enroll in the new organization's vision of the future.
De la variable controlada al dato empírico: cuatro casos de control de variables en experimentos de tecnología lítica / From controlled variable to empirical data: four cases of control of variables in lithic technology experiments

En el presente trabajo utilizamos la caracterización del experimento científico propuesta por el filósofo de la ciencia Mario Bunge para presentar una serie de cuatro experimentos en el campo de la tecnología lítica. Nos centramos en evaluar el grado de control de variables asumido en dichos experimentos, presentándolos de menor a mayor según dicho grado de control. Las temáticas abarcadas en los experimentos presentados son: (a) técnicas de talla en el yacimiento olduvayense de Dmanisi (Georgia); (b) eficacia funcional de los cepillos del yacimiento mesolítico de Parque Darwin (Madrid); (c) eficacia de diversas técnicas de tratamiento térmico en rocas silíceas; y (d) eficacia de una técnica especial de preparación de talones en la configuración de foliáceas del yacimiento solutrense de Las Delicias (Madrid). En cada caso discutimos el procedimiento de control de variables que ha sido empleado, así como la forma de presentar los datos generados. Por último, evaluamos la relevancia y el grado de contrastación que permite cada experimento, señalando la necesidad de diseñar experimentos que permitan un alto grado de replicabilidad y contrastación. Palabras clave: experimento; tecnología lítica; control de variables; técnicas de talla; tratamiento térmicoAbstract:In this paper we use the characterization of scientific experiment put forward by the philosopher of science Mario Bunge to present a series of four experiments in the field of lithic technology. We pay especial attention to how these experiments deal with control of variables and we present them in order from the lowest to the highest level of control. Topics of studied experiments include (a) knapping techniques in the Oldowan site of Dmanisi (Georgia), (b) functional utility of the rabots found in the Mesolithic site of Parque Darwin (Madrid, Spain), (c) effectiveness of different heat treatments techniques on siliceous rocks, and (d) usefulness for foliate production of a special technique of platform preparation identified at the Solutrean site of Las Delicias (Madrid, Spain). In each experiment we discuss how variables were controlled and how generated data were presented, with the final aim of assessing both the relevance and the degree of replicability of experiments. We stress the necessity of devising experiments allowing for a high degree of replicability and contrast.Keywords: Experiment; Lithic Technology; Control of Variables; Knapping Techniques; Heat Treatment.
Multi-template GAT correlation for character recognition with a limited quantity of data

This paper addresses the problem of how to construct a robust character classifier when statistical pattern recognition techniques fail because of a limited quantity of data. The key ideas are two ways. One is to adopt a distortion-tolerant shape matching technique. Here, we use an affine-invariant matching technique of global affine transformation (GAT) correlation to absorb linear distortion between grayscale images. The other is to prepare multiple templates for dealing with nonlinear distortion or topologically different shapes. For this purpose, K-means clustering is applied to a given limited data in a simple gradient feature space. Recognition experiments using the handwritten numeral database IPTP CDROMIB show that the proposed method achieves a much higher recognition rate of 97.2% as compared to that of 85.8% obtained by the conventional, simple correlation matching with a single template per category.
Impulsive stabilization of memristor-based chaotic Lorenz circuit

This paper further investigates the problem of variable-time impulsive control of a memristor-based Lorenz system. Based on B-equivation theory, we design a variable-time impulsive controller, which is transformed to fixed-time impulse control to guarantee the stability of the chaotic system. Simulation results are presented to verify the effectiveness of the method.
Longitudinal study of age and order of eruption of primary teeth in Indian children

Objective: To determine the chronological eruption parameters of primary teeth in Indian children. Study Design: A longitudinal study consisting of 135 healthy children (74 boys and 61 girls) attending three child health centres in the city of Hyderabad, India were randomly selected and followed from the emergence of the first to the last tooth. Ages and order of tooth eruption were studied for both genders. Results: Boys showed tendency towards earlier eruption for all teeth except maxillary second molar and maxillary/mandibular first molars which erupted earlier in girls. Comparison between maxillary and mandibular showed a tendency to earlier mandibular eruption of central incisors, lateral incisors and second molars in both genders. Conclusions: Within the limitations of this study, a baseline data and chronological table for eruption of primary teeth among Indian children has been established. Indian children experienced delayed eruption of primary teeth when compared to their counterparts in other populations.
Elman Neural Network for Diagnosis of Unbalance in a Rotor-Bearing System

— The operational life of rotating machines has to be extended using a predictive condition maintenance tool. Among various condition monitoring techniques, vibration analysis is most widely used technique in industry. Signals are extracted for evaluating the condition of machine; further diagnostics is carried out with detected signals to extend the life of machine. With help of detected signals, further interpretations are done to predict the occurrence of defects. To study the problem of defects, a test rig with various possibilities of defects is constructed and experiments are performed considering the unbalanced condition. Further, this paper presents an approach for fault diagnosis of unbalance condition using Elman neural network and frequency-domain vibration analysis. Amplitudes with variation in acceleration are fed to Elman neural network to classify fault or no-fault condition. The Elman network is trained, validated and tested with experimental readings. Results illustrate the effectiveness of Elman network in rotor-bearing system.
Influence of nutrient level on biodegradation and bioconcentration of phthalate acid esters in Chlorella vulgaris

Influences of major nutrients (N, P) on the biodegradation and bioconcentration of dibutyl phthalate (DBP) and di-2-ethylexyl phthalate (DEHP) by Chlorella vulgaris in lake water were investigated in this work. Our study demonstrated that nutrient addition obviously influenced biodegradation rate constants and apparent bioconcentration factors (BCFs) of DBP and DEHP in Chlorella vulgaris. The effects of P addition on biodegradation were less pronounced than the effects of N addition as a result of N-limitation status of phytoplankton in the lake water, while addition of both N and P more greatly affected biodegradation than addition of N or P. BCFs of DBP and DEHP decreased with increasing algal exudate as measured by dissolved organic carbon (DOC) and a strong correlation between BCFs and DOC was obtained. The results indicate that DOC plays an important role in the bioconcentration of DBP and DEHP.
Flow Conditions in the Intracranial Aneurysm Lumen Are Associated with Inflammation and Degenerative Changes of the Aneurysm Wall

BACKGROUND AND PURPOSE: Saccular intracranial aneurysm is a common disease that may cause devastating intracranial hemorrhage. Hemodynamics, wall remodeling, and wall inflammation have been associated with saccular intracranial aneurysm rupture. We investigated how saccular intracranial aneurysm hemodynamics is associated with wall remodeling and inflammation of the saccular intracranial aneurysm wall. MATERIALS AND METHODS: Tissue samples resected during a saccular intracranial aneurysm operation (11 unruptured, 9 ruptured) were studied with histology and immunohistochemistry. Patient-specific computational models of hemodynamics were created from preoperative CT angiographies. RESULTS: More stable and less complex flows were associated with thick, hyperplastic saccular intracranial aneurysm walls, while slower flows with more diffuse inflow were associated with degenerated and decellularized saccular intracranial aneurysm walls. Wall degeneration (P = .041) and rupture were associated with increased inflammation (CD45+, P = .031). High wall shear stress (P = .018), higher vorticity (P = .046), higher viscous dissipation (P = .046), and high shear rate (P = .046) were associated with increased inflammation. Inflammation was also associated with lack of an intact endothelium (P = .034) and the presence of organized luminal thrombosis (P = .018), though overall organized thrombosis was associated with low minimum wall shear stress (P = .034) and not with the flow conditions associated with inflammation. CONCLUSIONS: Flow conditions in the saccular intracranial aneurysm are associated with wall remodeling. Inflammation, which is associated with degenerative wall remodeling and rupture, is related to high flow activity, including elevated wall shear stress. Endothelial injury may be a mechanism by which flow induces inflammation in the saccular intracranial aneurysm wall. Hemodynamic simulations might prove useful in identifying saccular intracranial aneurysms at risk of developing inflammation, a potential biomarker for rupture.
Pressure-sensitive mucoadhesive polymer-based dental patches to treat periodontal diseases: an in vitro study

Abstract Local drug delivery for periodontal diseases is still a challenge due to very short residence time, involuntary swallowing and salivary wash-out. Present study is, therefore, an attempt to develop pressure-sensitive adhesive polymers-based mucoadhesive dental patches to ensure satisfactory prolonged release of drugs, to treat periodontal diseases locally. Polymers such as duro-tak® 387-2516 and duro-tak® 387, ethylcellulose, polyvinylpyrrolidone, polyvinyl alcohol along with drugs amoxicillin trihydrate and diclofenac sodium were used to develop the experimental patches. The patches were characterized for mass variation, thickness, area, moisture-content and moisture-uptake, folding endurance, structural integrity in simulated saliva, bioadhesive strength, surface pH, scanning electron microscopy, cellular morphology, in vitro drug release and temperature-dependant stability study as per ICH guideline. Incorporation of release enhancers in the patches improved drug release. Drugs released in a sustained manner due to the formation of physical bonds between the polymers (as assessed by FTIR study) which might alter the length of drug diffusion pathways. The formulation F3 with tween 80 as release enhancer provided best drug release profile over the period of 8 h, thus it could be a successful attempt for the management of oral pathogens and dental pain.
Muscle microvascular blood flow responses in insulin resistance and ageing

Insulin resistance plays a key role in the development of type 2 diabetes. Skeletal muscle is the major storage site for glucose following a meal and as such has a key role in maintenance of blood glucose concentrations. Insulin resistance is characterised by impaired insulin‐mediated glucose disposal in skeletal muscle. Multiple mechanisms can contribute to development of muscle insulin resistance and our research has demonstrated an important role for loss of microvascular function within skeletal muscle. We have shown that insulin can enhance blood flow to the microvasculature in muscle thus improving the access of glucose and insulin to the myocytes to augment glucose disposal. Obesity, insulin resistance and ageing are all associated with impaired microvascular responses to insulin in skeletal muscle. Impairments in insulin‐mediated microvascular perfusion in muscle can directly cause insulin resistance, and this event can occur early in the aetiology of this condition. Understanding the mechanisms involved in the loss of microvascular function in muscle has the potential to identify novel treatment strategies to prevent or delay progression of insulin resistance and type 2 diabetes.
The methodologic foundations of studies of the appropriateness of medical care.

As health care costs continue to increase rapidly, both health care providers and consumers have expressed concern that the additional resources used for health services do not provide commensurate increases in health benefits. Adding fuel to this concern, a number of disquieting studies have estimated the rates of “inappropriate” use in a variety of settings of a variety of procedures such as coronary angiography, carotid endarterectomy, endoscopy, and coronary-artery bypass graft surgery1–4. The estimated rates of inappropriate treatment have ranged from about 15 to 30 percent, reaching as high as 40 percent for particular procedures at individual institutions.
Clustering and Registration of Functional Data with Applications in Time Course Genomics Data

Functional data analysis aims to provide statistical inference for stochastic processes defined over a functional space. Typical data sources, often modeled using functional data analytic techniques, include: nonlinear longitudinal data in biomedicine, image and spatial data, space-time data, etc. This dissertation will be mainly concerned with the analysis of data arising from bio-molecular processes evolving over time. Specifically, we will consider functional data conceptualized as random curves defined over a time domain. Two important techniques used in the analysis of functional data are clustering and registration. Functional data clustering aims to identify subgroups of curves with similar shapes and estimate representative mean curves in each cluster. When applied to time course genomics data, functional data clustering identifies clusters of genes sharing similar temporal profiles. These clusters are likely to consist of genes involved in the same biological processes and functions. Functional data registration methods align curves exhibiting phase variability (e.g. variation among timings of features of different curves). After alignment, a common shape function can be estimated consistently to represent the overall pattern shared by all curves. However, when curves show both systematic shape differences and phase variability, neither functional data registration nor clustering alone is appropriate for data analysis. Motivated by applications in time course genomics data, we propose a joint model for functional data clustering and registration. The proposed method integrates reproducing representations of functions in the framework on Dirichlet process mixtures. Simulation and case studies on real datasets show that our model is able to correctly cluster and register curves simultaneously. We explore several methodological alternatives in both synthetic and case study scenarios and show that jointly accounting for registration and clustering produces more accurate and interpretable inference.
Increased interferon gamma production by peripheral blood mononuclear cells in response to stimulation of overexpressed disease‐specific 9‐O‐acetylated sialoglycoconjugates in children suffering from acute lymphoblastic leukaemia

Disease‐specific over‐expression of 9‐O‐acetylated sialoglycoconjugates (9‐O‐AcSGs) on peripheral blood mononuclear cells (PBMC) of children with acute lymphoblastic leukaemia (ALL, PBMCALL) has been demonstrated using a lectin, Achatinin‐H, with specificity towards 9‐O‐AcSAα2‐6GalNAc. This study investigated the contributory role of 9‐O‐AcSGs induced on PBMCALL. Stimulation of PBMCALL with Achatinin‐H through 9‐O‐AcSGs led to a lymphoproliferative response with a significantly increased interferon‐γ (IFN‐γ) production when compared with unstimulated cells as demonstrated by enzyme‐linked immunosorbent assay and mRNA expression. Under identical conditions, PBMCALL ablated of O‐acetylations did not respond to such stimulation. In summary, it may be concluded that stimulation of over‐expressed 9‐O‐AcSGs regulate signalling for proliferation, leading to the release of IFN‐γ. Controlled expression of these molecules may be exploited as potential targets for therapy, promising beneficial effects to children with ALL.
Spatial interpolation of air temperature with ANUSPLIN in Three Gorges Reservoir Area

It is very important to research the spatial distribution of mountain temperature for the rational use of mountain climate resources. The Three Gorges Reservoir Area is separated by mountains, with complex topography and typical feature of mountain temperature. Facing the few climate data sites in mountain area, the professional interpolation software for meteorology data (ANUSPLIN) is used to achieve the point data to surface, and it is used to develop a gridded temperature for the Three Gorges Reservoir Area at a resolution of 500 meters in latitude and longitude. The Latitude and longitude are used as the independent spline variables, and the elevation above sea-level (digital elevation model-DEM) is used as the independent covariate. The fitted surfaces are able to generate an estimate of temperature conditions for any location in the country where three independent topographic variables are available, and considering the influence of elevation. The ANUSPLIN is very useful to promote the interpolation accuracy and precision to the mountain area.