Miracle-dz/UniFAR-FTUs huggingface dataset:
Generación automática de reglas de categorización de texto en un método híbrido basado en aprendizaje

This paper discusses several techniques for the automatic generation of rules to be used in a novel hybrid method for text categorization. This approach combines a machine learning algorithm along with a different rule-based expert systems in cascade used to filter and rerank the output of the base model provided by the previous classifier. This paper describes an implementation based on kNN algorithm and a basic rule language that expresses lists of terms appearing in the text. The popular Reuters-21578 news corpus is used for testing. Results show that the proposed methods for automatic rule generation achieve precisión valúes that are very similar to the ones achieved by manually defined rule sets, and that this hybrid approach achieves a precisión that is comparable to other top state-of-the-art methods.
Lessons Learned in Deep Brain Stimulation for Movement and Neuropsychiatric Disorders

ABSTRACT The introduction of deep brain stimulation (DBS) as a treatment for medication-refractory essential tremor in the late 1980s revealed, for the first time, that “chronically” implanted brain hardware had the potential to modulate neurologic function with surprisingly low morbidity. Over time, the therapeutic promise of DBS has become evident in Parkinson's disease and dystonia. In some experienced centers, complex tremor disorders, such as posttraumatic Holmes tremor and the tremor of multiple sclerosis, are being increasingly targeted. More recently, other indications, including obsessive-compulsive disorder, Tourette's syndrome, major depression, and chronic pain, have been proposed. As the field has expanded, our knowledge about potential cognitive side effects of DBS has also expanded. This article reviews the current knowledge regarding the impact of stimulation of the subthalamic nucleus, globus pallidus internus, and ventralis intermedius nucleus of the thalamus on symptoms in essential tremor, Parkinson's disease, and dystonia. Also discussed are the emerging targets, what is known about the cognitive sequelae of DBS, and what has been learned about the complications and therapeutic failures.
The relationship of prayer and forgiveness to God attachment, romantic attachment, and relationship satisfaction in Christian married adults: A mediation study

THE RELATINOSHIP OF PRAYER AND FORGIVENESS TO GOD ATTACHMENT, ROMANTIC ATTACHMENT, AND RELATIONSHIP SATISFACTION IN CHRISTIAN MARRIED ADULTS: A MEDIATION STUDY Joshua Michael Myers Center for Counseling and Family Studies Liberty University, Lynchburg, Virginia Doctor of Philosophy in Counseling Research demonstrates that one's attachment to God accounts for unique variance in Relationship Satisfaction after accounting for the effects of Romantic Attachment. To date, only one study has sought to find a similar finding within a predominately married population. However, no study has attempted to partially explain this effect. This study seeks to answer the following research question: does Prayer and Forgiveness partially mediate the relationship between God Attachment and Relationship Satisfaction in a married population? It is hypothesized that Prayer and Forgiveness will partially mediate the relationship between God Attachment and Relationship Satisfaction in a married population. The study revealed that only the two dimensions of Romantic Attachment, and God Attachment Anxiety correlated with Relationship Satisfaction. God Attachment accounted for 1% unique variance on Relationship Satisfaction after controlling for Romantic Attachment, Prayer accounted for 4% of unique variance and Forgiveness just . 1% of unique variance after controlling for God Attachment.
Porphyromonas gingivalis Bacteremia Induces Coronary and Aortic Atherosclerosis in Normocholesterolemic and Hypercholesterolemic Pigs

Objectives—The aim of this study was to determine whether recurrent intravenous injections with Porphyromonas gingivalis (P gingivalis), mimicking periodontitis-associated bacteremia, promotes coronary artery and aortic atherosclerosis in pigs. Methods and Results—Pigs (n=36) fed low- or high-fat chow were divided into P gingivalis–sensitized and P gingivalis–challenged groups or P gingivalis–sensitized controls and saline-treated controls. Pigs were sensitized with 109 killed P gingivalis subcutaneously. Four weeks later all sensitized pigs in the group to be challenged started intravenous injections thrice weekly for 5 months with 106 to 107 colony forming units of P gingivalis while controls received saline. Anti–P gingivalis antibody, serum cholesterol, and complete blood counts were assayed monthly. Pigs were euthanized 2 weeks after the last injection, and coronary arteries and aortas were analyzed by histomorphometry and immunohistochemistry. Anti–P gingivalis antibody was increased by P gingivalis exposure. P gingivalis–challenged pigs developed a significantly greater amount of coronary and aortic atherosclerosis than controls in the normocholesterolemic group and nearly significant in the hypercholesterolemic group. P gingivalis was detected by polymerase chain reaction in arteries from most (94%, 16 of 17) P gingivalis–challenged pigs but not controls. Conclusions—Recurrent P gingivalis bacteremia induces aortic and coronary lesions consistent with atherosclerosis in normocholesterolemic pigs and increases aortic and coronary atherosclerosis in hypercholesterolemic pigs.
Relationships between ecological interaction modifications and diffuse coevolution: similarities, differences, and causal links

A major empirical approach in community ecology is to describe the dynamics of a community by examining small subsets of species. Unfortunately, interaction modifications, which cause pair-wise interaction coefficients to depend on the presence or absence of additional species, can make it difficult to predict the overall dynamics of species within a community from experiments with pairs of species. In a similar fashion, one of the major approaches in evolutionary ecology has been to describe the likely evolutionary dynamics of a single species by focusing on the selection imposed by a limited number of other species within the community. However, recent work on diffuse coevolution indicates that selection pressures due to one species can change in the presence of other species. The magnitude of the difficulty that interaction modifications and diffuse coevolution present for predicting ecological and evolutionary dynamics is an unresolved question. Here we outline the similarities and differences between the two topics, discuss experimental and statistical approaches to studying them, and make predictions about when ecological interaction modifications are likely to cause diffuse coevolution. Since the currencies for interaction modifications are usually fitness components such as growth, fecundity, or survival, is it likely that these will translate into corresponding differences in the relative fitness of individuals or genotypes, and thus in general these two phenomena will occur together. We argue that community ecologists and evolutionary ecologists will both benefit from experiments that test for the effects of interaction modifications, and that studies of the mechanisms driving interaction modifications and diffuse coevolution (e.g., changes in behavior, nonlinear effects on shared resources, genetic covariances) will aid our progress in understanding the ecological and evolutionary dynamics of communities.
Do women's networks help advance women's careers?

Purpose – The use of women's networks is emerging as one method of advancing women's careers within organizations. However, the value of these networks has been questioned. The purpose of this study is to examine how potential differences in the perceptions of network members and the firm's executive leadership about the purposes and anticipated outcomes of a women's network may impact women's career advancement.Design/methodology/approach – The authors interviewed 21 members of an intra‐firm women's network and six members of the executive leadership team of a global organization. To examine the qualitative data, they used a process of thematic analysis to discover prevalent themes in the transcribed interviews.Findings – Both members of the women's network and the executive leadership team placed responsibility for women's career advancement upon the individual; the firm's male‐dominated culture and organizational constraints were not emphasized. While members of the women's network recognized how the n.
Education for Ethics and Human Resource Management

Many public administration ethicists argue that a single stand-alone course in ethics should be a part of every M.P.A. curriculum, but some programs may prefer to incorporate ethics into several courses. This article suggests that a series of courses would be a promising alternative to a standalone ethics course. It would begin in the M.P.A. introductory course by setting a foundation for the study of ethics and then relate ethics to human resource management (HRM) in a sequence of required and elective HRM courses. The long and evolutionary relationship between ethics and HRM can provide a strong basis for ethics education with two purposes in mind: first, to show the generalist public administration student the ethical issues involved in managing personnel systems, and second, to acquaint students interested in careers in HRM to be ethically aware in situations they are likely to face in their careers. The literature in HRM and ethics is reviewed to develop a conceptual linkage between the two topics. The article concludes by showing how the two have been integrated in a three-course sequence in a NASPAA-accredited M.P.A. program.
Strongly-Typed Agents are Guaranteed to Interact Safely

As artificial agents proliferate, it is becoming increasingly important to ensure that their interactions with one another are well-behaved. In this paper, we formalize a common-sense notion of when algorithms are well-behaved: an algorithm is safe if it does no harm. Motivated by recent progress in deep learning, we focus on the specific case where agents update their actions according to gradient descent. The paper shows that that gradient descent converges to a Nash equilibrium in safe games. The main contribution is to define strongly-typed agents and show they are guaranteed to interact safely, thereby providing sufficient conditions to guarantee safe interactions. A series of examples show that strong-typing generalizes certain key features of convexity, is closely related to blind source separation, and introduces a new perspective on classical multilinear games based on tensor decomposition.
Applicability of Hydrogen Peroxide in Brown Tide Control – Culture and Microcosm Studies

Brown tide algal blooms, caused by the excessive growth of Aureococcus anophagefferens, recur in several northeastern US coastal bays. Direct bloom control could alleviate the ecological and economic damage associated with bloom outbreak. This paper explored the effectiveness and safety of natural chemical biocide hydrogen peroxide (H2O2) for brown tide bloom control. Culture studies showed that H2O2 at 1.6 mg L−1 effectively eradicated high density A. anophagefferens within 24-hr, but caused no significant growth inhibition in the diatoms, prymnesiophytes, green algae and dinoflagellates of >2–3 μm cell sizes among 12 phytoplankton species tested over 1-week observation. When applied to brown tide bloom prone natural seawater in a microcosm study, this treatment effectively removed the developing brown tide bloom, while the rest of phytoplankton assemblage (quantified via HPLC based marker pigment analyses), particularly the diatoms and green algae, experienced only transient suppression then recovered with total chlorophyll a exceeding that in the controls within 72-hr; cyanobacteria was not eradicated but was still reduced about 50% at 72-hr, as compared to the controls. The action of H2O2 against phytoplankton as a function of cell size and cell wall structure, and a realistic scenario of H2O2 application were discussed.
Interaction of 14-3-3 Protein with Regulator of G Protein Signaling 7 Is Dynamically Regulated by Tumor Necrosis Factor-α*

Regulators of G protein signaling (RGS) constitute a family of proteins with a conserved RGS domain of ∼120 amino acids that accelerate the intrinsic GTP hydrolysis of activated Gαi and Gαq subunits. The phosphorylation-dependent interaction of 14-3-3 proteins with a subset of RGS proteins inhibits their GTPase-accelerating activity in vitro. The inhibitory interaction between 14-3-3 and RGS7 requires phosphorylation of serine 434 of RGS7. We now show that phosphorylation of serine 434 is dynamically regulated by TNF-α. Cellular stimulation by TNF-α transiently decreased the phosphorylation of serine 434 of RGS7, abrogating the inhibitory interaction with 14-3-3. We examined the effect of 14-3-3 on RGS-mediated deactivation kinetics of G protein-coupled inwardly rectifying K+ channels (GIRKs) in Xenopusoocytes. 14-3-3 inhibited the function of wild-type RGS7, but not that of either RSG7P436R or RGS4, two proteins that do not bind 14-3-3. Our findings are the first evidence that extracellular signals can modulate the activity of RGS proteins by regulating their interaction with 14-3-3.
Comparative Study on Beam Broadening in Optically Controlled and Conventional Phased Array

The bandwidth characteristic of phased array antenna can be represented by the extent of beam broadening as signal bandwidth is increased. By using two kinds of bandpass signals, the beam 3dB-width values for a variety of instantaneous bandwidths in conventional phased array and wide band optically phased array are respectively analyzed and simulated based on both of their models. And some corresponding curves are given.
IL-10-Conditioned Dendritic Cells, Decommissioned for Recruitment of Adaptive Immunity, Elicit Innate Inflammatory Gene Products in Response to Danger Signals1

Dendritic cells (DCs) are the professional APCs of the immune system, enabling T cells to perceive and respond appropriately to potentially dangerous microbes, while also being able to maintain T cell tolerance toward self. In part, such tolerance can be determined by IL-10 released from certain types of regulatory T cells. IL-10 has previously been shown to render DCs unable to activate T cells and it has been assumed that this process represents a general block in maturation. Using serial analysis of gene expression, we show that IL-10 pretreatment of murine bone marrow-derived DCs alone causes significant changes in gene expression. Furthermore, these cells retain the ability to respond to Toll-like receptor agonists, but in a manner skewed toward the selective induction of mediators known to enhance local inflammation and innate immunity, among which we highlight a novel CXCR2 ligand, DC inflammatory protein-1. These data suggest that, while the presence of a protolerogenic and purportedly anti-inflammatory agent such as IL-10 precludes DCs from acquiring their potential as initiators of adaptive immunity, their ability to act as initiators of innate immunity in response to Toll-like receptor signaling is enhanced.
Optical spectroscopy of erbium doped monocrystalline vanadium dioxide

The insulator-to-metal transition (IMT) of vanadium dioxide (VO2) is promising for applications in optoelectronic switching devices. The IMT is reversible, involves dramatic changes in the optical and electrical properties, and can be triggered both optically and electrically. Furthermore, the IMT is extremely fast when excited by ultra-short optical pulses. Using this method, one transition cycle can be accomplished within a picosecond. Combining VO2 with optically active erbium ions (Er3+) grants an optical-amplification capability to the material. This feature is appealing for research, especially since the luminescence of Er3+ lies at the standard wavelength for fiberoptic communication system. This paper presents a study on the optical spectroscopy of monocrystalline VO2:Er and an empirical determination of the Er3+ transition energies in VO2.
Seismic-wave transmission across the Caribbean plate: High attenuation on concave side of Lesser Antilles Island Arc

High attenuation of short-period body waves and extremely low surface-wave group velocities have been found for seismic paths that traverse the crust and upper mantle beneath the concave side of the Lesser Antilles island arc (eastern Caribbean). The observations can be explained in terms of the currently accepted models of lithospheric plate subduction at other island arcs such as Fiji-Tonga, Marianas and the Aegean, a characteristic of which is the existence of an abnormally low Q zone in the crust and upper mantle above the down-going slab. The Greater Antilles island arc appears to be tectonically distinct, as subduction is not evident there and no anomalous low-Q zone exists south of Puerto Rico and Hispaniola. The Aves swell is probably not related tectonically to the low-Q zone, or to the subduction process, at least presently.
Relationships between forest structure, composition, site, and spruce beetle occurrence in the Intermountain West

Engelmann spruce forests are structurally and compositionally diverse, occur across a wide range of physiographic conditions, and are the result of varying disturbance histories such as fire, wind and spruce beetle. The spruce beetle is a natural disturbance agent of spruce forests and has population levels that fluctuate from endemic to epidemic. Conceptually, structural and compositional diversity of Engelmann spruce forests are thought to provide resistance to spruce beetle activity, and have traditionally been used to assess stand risk to the beetle. We used FIA data from nine states in the Intermountain West to test the effect of stand structure, composition, and site attributes on the occurrence of spruce beetle. A suite of independent variables from FIA data were used to predict the presence or absence of spruce beetle. Results suggested structural variables such as trees per acre and stand density index ratio were influential in the model. Similarly, compositional variables such as percent stand density index of aspen, lodgepole pine, Douglas-fir, and subalpine fir were also influential. Co-occurrence of multiple species with Engelmann spruce helped explain some of the patterns of spruce beetle occurrence. Ubiquitously occurring species such as subalpine fir and Douglas-fir explained less of the variation in model predictions. Elevation and latitude were significant predictors of spruce beetle occurrence; however, co-variation made direct interpretation of these independent variables difficult. Although statistically weak, the model results were ecologically interpretable and provided a range-wide context in explaining spruce beetle activity at some sites in the Intermountain West.
Flexible CPW-Fed Fishtail-Shaped Antenna for Dual-Band Applications

A flexible fishtail-shaped antenna for WiMAX and X-band applications is presented in this letter. The proposed antenna is fed by a coplanar waveguide (CPW). Stepped-impedance lines that can provide smooth transitional impedance for improved impedance matching and broadband characteristics are also introduced. The antenna is printed on a 0.127-mm polytetrafluoroethene (PTFE) substrate and occupies a size of 25 × 50 mm 2. In the lower frequency band, the measured impedance bandwidth for | S11 | ≤ -10 dB is about 200 MHz from 3.4 to 3.6 GHz, while it is about 7 GHz from 7.4 to 14.4 GHz in the upper frequency band. In addition, the antenna demonstrates a low sensitivity to performance degradation due to bending effects, which makes it suitable for integration within portable devices.
Object Identification Quality

Research and industry has tackled the object identification problem of data integration in many different ways. This paper presents a framework, that allows the evaluation of competing approaches. To this end, complexity measures and data characteristics are introduced, which reflect the hardness of a given object identification problem. All characteristics can be estimated by use of simple SQL queries and simple calculations. Following the principle of benchmark definitions we specify a test framework. It consists of a test database and its characteristics, quality criteria, and a test specification. Adequate measures needed for the correctness criterion of the benchmark are given. A running example of the Berlin Online Apartment-Advertisements database (BOA) illustrates the approach. The BOA-database is freely available at www.wiwiss. fu-berlin.de/lenz/boa/.
Efficacy of different essential oils in modulating rumen fermentation in vitro using buffalo rumen liquor

Aim: Present study was conducted to examine the modulatory effect of different essential oils on rumen fermentation pattern in vitro using wheat straw based diet (concentrate: wheat straw 50:50). Materials and Methods: Four essential oils i.e. cinnamon, garlic, oregano and rosemary oils were tested at concentration of 0, 30, 300 and 600 mg/litre (ppm) of total culture fluid using in vitro gas production technique. Total gas production, methane production, nutrient degradability, volatile fatty acid (VFA) production and ammonia nitrogen concentration were studied in vitro using buffalo rumen liquor. Results: Results indicated that all four essential oils decreased gas production significantly (P<0.05) at 600ppm concentration. However, in case of garlic oil, 300 ppm concentration was also found to be effective in decreasing total gas production. Reduction in methane production was found maximum (P<0.05) at higher doses in most of the oils. Maximum reduction in methane was noticed with garlic oil at 600ppm dose. Ammonia-N concentration was also decreased significantly (P<0.05) with essential oils and was found minimum with oregano oil at 600 ppm dose. Partition factor was found to be significantly (P<0.05) higher in 600 ppm concentration of garlic and oregano oil. The degradability of dry matter decreased significantly with higher concentration of essential oil in most of treatment combinations.
Analyzing and Predicting Task Reminders

Automated personal assistants such as Siri, Cortana, and Google Now provide services to help users accomplish tasks, including tools to set reminders. We study how people specify and use reminders. Our study analyzes a sample of six months of logs of user-specified reminders from Cortana (Microsoft's intelligent personal assistant), the first large-scale analysis of such reminders. We focus our analyses on time-based reminders, the most common type of reminder found in the logs. We perform a data-driven analysis to identify common categories of tasks that give rise to these reminders across a large number of users, and we arrange these tasks into a taxonomy. We identify temporal patterns linked to the type of task, time of creation, and terms in the reminder text. Finally, we show that these patterns generalize by addressing a prediction task. Specifically, we show that a reminder's creation time is a strong feature in predicting the notification time, and that including the reminder text further improves prediction accuracy. The results have implications for the design of systems aimed at helping people to complete tasks and to plan future activities.