SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Condições de saneamento da região urbana da cidade de Timon-MA, Brasil: indicadores por macrorregiões

Este estudo analisou as condições de saneamento da região urbana e seus indicadores por macrorregiões, em uma cidade localizada no estado do Maranhão, Nordeste do Brasil. Foi realizada amostragem domiciliar com aplicação de questionário estruturado, além de investigação cartográfica com análise por macrorregiões municipais. Os principais resultados revelaram armazenamento inapropriado de água e uso de fontes alternativas à rede pública oficial; déficit de 56% de esgotamento sanitário e de 21,63% na coleta de resíduos sólidos. Três macrorregiões apresentaram déficits na limpeza de espaços públicos; no abastecimento de água; no esgotamento sanitário e descarte de resíduos sólidos. Concluiu-se que com a avaliação das condições de insalubridade domiciliar, pode-se direcionar um planejamento estratégico público ou privado que vise melhorias no saneamento e prevenção de agravos à saúde.
Vague Sets Evaluation and its Application Based on TOPSIS Idea in Technological Innovation

In order to get the idea technological innovation scheme,the scheme selection is studied in the paper.From the actual situation,a group of evaluation index which included in the strength,the potential and the external environment about technical innovation scheme is selected.With the Vague set theory,the evaluation value of any innovation scheme is defined by the concept of Positive-ideal solution and Negative-ideal solution of TOPSIS.With the concept of distant in Vague set theory,a new evaluation method is built to get a satisfied solution.This method reflects the advantages of Vague set theory which describe the uncertainty,meanwhile,the basic criteria for project evaluation is meet by the TOPSIS idea.The idea and method not only take a new application field to the Vague set study,but also get a new idea and method to the technological innovation study.
Vertical cavity surface emitting lasers

The vertical cavity surface emitting laser (VCSEL) has a patterned mirror structure to enhance mode profile stability. The VCSEL, comprised of an active layer 3 between a pair of Bragg reflectors 2,4 has a top or emitting face contact 5 which substantially defines an emitting surface. A reflecting dielectric layer 6,8 is provided over a least a portion of the emitting surface to either enhance or suppress lasing action with the reflectivity value of the dielectric layer determining whether the lasing action is enhanced or suppressed. Active layer 3 may comprise one or more quantum wells.
Design of Self-Healing Supramolecular Rubbers by Introducing Ionic Cross-Links into Natural Rubber via a Controlled Vulcanization

Introducing ionic associations is one of the most effective approaches to realize a self-healing behavior for rubbers. However, most of commercial rubbers are nonpolar rubbers without now available functional groups to be converted into ionic groups. In this paper, our strategy was based on a controlled peroxide-induced vulcanization to generate massive ionic cross-links via polymerization of zinc dimethacrylate (ZDMA) in natural rubber (NR) and exploited it as a potential self-healable material. We controlled vulcanization process to retard the formation of covalent cross-link network, and successfully generated a reversible supramolecular network mainly constructed by ionic cross-links. Without the restriction of covalent cross-linkings, the NR chains in ionic supramolecular network had good flexibility and mobility. The nature that the ionic cross-links was easily reconstructed and rearranged facilitating the self-healing behavior, thereby enabling a fully cut sample to rejoin and retain to its original properties after a suitable self-healing process at ambient temperature. This study thus demonstrates a feasible approach to impart an ionic association induced self-healing function to commercial rubbers without ionic functional groups.
Does confinement effect always enhance catalytic activity? A theoretical study of H2 dissociation on CNT supported gold clusters

Abstract Density functional theory (DFT) calculations are performed to investigate the interactions of small Aun (n = 1–5) clusters with single-walled carbon nanotubes (CNTs) and H2 dissociation on the CNT supported clusters. Encapsulated Au clusters interact more strongly with the metallic CNTs than with the semi-conducting ones, where charge transfers from CNTs to the clusters play an important role. The clusters deposited outside the CNT are more stable than the ones encapsulated inside the tubes except for Au1 and Au3 on CNT(6, 6). Generally H2 dissociation becomes more favorable thermodynamically, especially on the encapsulated clusters. Except for Au monomer, H2 dissociation on the encapsulated clusters is kinetically more difficult than on the outside deposited clusters. Compared with the situation on bare clusters, H2 dissociation needs to overcome higher barriers on CNT supported clusters, apart from that on Au monomer on the outer surface of the CNTs and on the encapsulated Au dimer. These kinetic results demonstrate that confinement effect is not helpful for all reactions and CNT supported catalysts do not improve the activity for all reactions.
Measuring Consumers' Engagement With Brand-Related Social-Media Content

ABSTRACT The purpose of the current study was to develop a scale to measure the consumer9s engagement with brand-related social-media content, based on three dimensions established in the framework of an earlier theoretical construct, “Consumer9s Online Brand-Related Activities” (Muntinga, Moorman, and Smit, 2011). Qualitative techniques were used to generate an initial pool of items that captured different levels of consumer engagement with consumption, contribution, and creation of brand-related social-media content. Quantitative data from a survey of 2,252 consumers across Poland then was collected in two phases to calibrate and validate the ensuing scale, measuring participants9 engagement, with nearly 300 brands spanning a range of industries. Results confirmed the structure and psychometric properties of the scale.
Abordaje terapéutico de la otitis media aguda en atención primaria de un área urbana. Evaluación de la prescripción diferida de antibióticos

La otitis media aguda (OMA) es una de las causas más frecuentes de consulta y prescripción antibiótica en pediatría. El objetivo de este trabajo es valorar la prescripción antibiótica diferida en OMA en pediatría en atención primaria. Estudio observacional, retrospectivo, mediante revisión de historias clínicas en un centro de salud urbano de la Comunidad Autónoma de Aragón de niños con OMA de tres cupos en los que los facultativos realizan prescripción diferida. Mediante regresión logística se analizan las variables posiblemente relacionadas con la prescripción antibiótica. Se analizan 1.390 episodios de OMA en 696 pacientes. Se realizó prescripción inmediata de antibióticos en el 67,6% (IC 95% 65,1-70,0) de episodios, sintomática exclusiva en el 13,7% (IC 95% 11,9-15,6) y antibiótica diferida en el 18,7% (IC 95% 16,7-20,8), dispensándose finalmente el antimicrobiano en el 53,5% (IC 95% 47,4-59,5) de estos últimos. Factores relacionados significativamente con la adquisición final antimicrobiana en prescripción diferida son la edad entre 0-2 años (OR 1,89; IC 95% 1,25-2,87), la bilateralidad (OR 2,54; IC 95% 1,48-4,35), la otalgia (OR 0,49; IC 95% 0,29-0,82), la fiebre (OR 2,67; IC 95% 1,95-3,65), el abombamiento (OR 3,63; IC 95% 2,50-5,29) y la otorrea (OR 25,98; IC 95% 12,75-52,92). Los mismos factores influyen en la prescripción global de antibióticos. Se indicó principalmente amoxicilina (74,6%), seguido de amoxicilina-clavulánico (17,0%). La prescripción diferida en OMA parece útil para disminuir el consumo de antibióticos, siendo necesario avanzar en su implantación. Acute otitis media (AOM) is one of the most frequent causes of consultation and antibiotic prescription in pediatrics. The objective of this work is to evaluate the practice of delayed antibiotic prescription in AOM in pediatrics primary care. Observational, retrospective study, through reviewing of medical records in a primary care center of Aragon Community of children with OMA in which doctors perform delayed prescription. Logistic regression analyzes possibly related to antibiotic prescription factors. 1,390 episodes of AOM are analyzed in 696 patients. Immediate antibiotic prescription is performed in 67.6% (95% CI 65.1-70.0) of episodes, exclusive symptomatic in 13.7% (95% CI 11.9-15.6), and delayed antibiotic in 18.7% (95% CI 16.7-20.8), finally being given in 53.5% (95% CI 47.4-59.5) of these. Factors significantly related to final antimicrobial dispensation in delayed prescription are aged between 0 and 2 years (OR 1.89, 95% CI 1.25-2.87), bilaterality (OR 2.54, 95% CI 1.48-4.35), ear pain (OR 0.49, 95% CI 0.29-0.82), fever (OR 2.67, 95% CI 1.95-3.65), bulging (OR 3.63, 95% CI 2.50-5.29) and otorrhea (OR 25.98, 95% CI 12.75-52.92). The same factors have influence on global prescription of antibiotics. Amoxicillin (74.6%) is the most indicated antibiotic, followed by amoxicillin–clavulanic (17.0%). Delayed prescription in AOM seems to be useful to reduce antibiotics consumption, being necessary to advance in its implantation.
Knowledge graph completion using artificial neural networks for herb-drug interaction discovery

With the growing popularity of herbal drugs an increasing number of scientific studies report information about herb-drug interactions that can significantly alter the effects of a drug. Keeping up with the current publication rate is not feasible, therefore there is a clear need for computational methods for early detection of herb-drug interactions that will enable better public and physician understanding of herbal products. But the costs of manually representing knowledge about herb-drug interactions in a machine processable way are prohibitive, therefore domain expertise has to be leveraged indirectly from domain-specific corpora using Information Extraction. This Marie Curie European Fellowship proposes a Deep Learning approach based on Artificial Neural Networks (ANN) and Information Extraction to monitor medical literature and construct a knowledge base of herb-drug interactions together with supporting evidence in the form of interaction mechanisms. To cope with the problem of incorrect or missing information we will consolidate the resulting knowledge graph using knowledge graph completion that predicts the probability of existence or correctness of typed edges in the graph. Advanced graph visualization techniques will be employed to develop intuitive interfaces for analyzing and comparing herb-drug interactions and underlying mechanisms. The Fellowship is expected to increase knowledge on clinically significant herb-drug interactions which will contribute to improved public safety. The Host will provide training on Deep Learning approaches for knowledge extraction which will open opportunities for a senior researcher position, in turn the Fellow will transfer Natural Language Processing skills and European collaborations to the host.
Preparation of Disappearing Inks and Studying the Fading Time on Different Paper Surfaces

Disappearing inks have been used in different fields, but it may be abused in forgery and counterfeiting. This research was conducted on the preparation of disappearing inks using different concentrations of thymolphthalein, phenolphthalein, and their mixture. The prepared inks were applied to different types of handwriting papers. It was found that the handwriting stability increased by increasing thymolphthalein, phenolphthalein, or alkali concentration, but in the case of using 4 mL of 1 normal (N) NaOH, the handwriting stability of phenolphthalein and its mixture inks decreased. Deciphering of the faded handwriting was evaluated by different methods; using optical deciphering, the faded handwriting did not respond to the different light sources. All the faded handwriting was visible when treated with alkaline solution. There was no change in the faded handwriting when heated to 100°C; phenolphthalein and mixture inks containing 0.5 mL of 1 N NaOH became red when only Azhar and Xerox papers were heated to 150°C.
The Study of the Improvement Mechanism of the Efficiency of Social Network

The paper discusses the connotation and constituent factors of the efficiency of social network (ESN). Applying the theory of structural holes, the study analyzes impact factors of ESN on the structural level, the resources level and the strategic level such as structural autonomy, nonredundancy and structural holes strategy. The effect mechanism model of ESN is established according to the active routes among constituent factors and impact factors. Data collected from 266 samples is used to validate the theoretical model by the structural equation model (SEM). In the light of the result of the operation, causation and interrelation among factors is researched. Based on this, the paper gives practice propositions of raising ESN.
From two-way time to depth and pressure for interpretation of seismic geometries and velocities offshore

SUMMARY The effect of water and rock loading on seismic velocities and consequently on interpreted geometries is often underestimated in offshore studies. Direct comparative analysis of interval velocity patterns between areas of significantly different water depth and thickness of rock overburden requires various pressure related changes in velocity to be accounted for. Presentation of velocity models as a function of pressure rather than two-way time, or depth, emerges as a possible solution. An accurate velocity model is essential for meaningful timeto-depth conversion of interpreted seismic horizons. Ideally, it should be based on integration of seismic velocities from well log measurements, refraction seismic surveys and from stacking of multi-channel marine reflection data. In some cases velocities derived from stacking of high quality long streamer marine reflection seismic data correlate reasonably with well log measurements and velocities derived from refraction seismic studies, and provide clues to reasonable depth conversion and lithology interpretation.
Boosting investment readiness of smes and small midcaps - investhorizon

InvestHorizon will address the main challenges affecting investment readiness:
- the lack of programmes addressing investment readiness across Europe;
- the low awareness regarding investment readiness and financing options amongst entrepreneurs;
- the weak interest of different investor types for innovative SMEs across the technology sectors;
- the weak investability of many of the companies and presentational failings, and; 
- the difficulty of matching innovative companies with specialized investors.
InvestHorizon will pursue the following 5 objectives:
1) Identify, recommend and communicate those strategies, indicators, schemes and tools with the best impact on investment readiness and investors sensitization and matching;
2) Raise the awareness amongst innovative SMEs across origination types, stages, countries, technology sectors about those key topics affecting their knowledge and capacity to improve their investment readiness; 
3) Increase the interest of investors across the range of technology sectors and across the range of different types of (co)-investors;
4) Improve the investment readiness of 3000 SMEs by boosting their business and investor propositions as well as their presentation pitch, and; 
5) Matching at least 450+ investment ready companies with specialized investors across Europe. 
The Consortium is composed of 10 partners each with relevant pan-European networks covering public research tech transfer (ASTP-Proton, IULG, UVT), accelerators and incubators (F6S, EBN and BWCON), the SME and Chambers of Commerce (Eurochambres) and the range of investor types (EBAN, European Crowdfunding Network and Europe Unlimited also representing Tech Tour and the International Venture Club).
We anticipate that at least 50 companies will be receiving funding for a total amount of minimally EUR 25 million. Furthermore, the tools and knowledge developed by the Consortium will be sustained at least across its Membership networks.
The relation between the BMI (level of nourishment) and the bad kyphotic posture of the elementary school students

This paper is aimed at establishing the Body Mass Index (BMI), on the population of elementary school students aged 11 ± 6 months, and the level of correlation with bad kyphotic body posture. The survey was carried out on 428 respondents (219 male and 209 female), on the territory of the city of Kragujevac. In order to estimate the kyphotic bad body posture a somatometry method was used (the sinker, ruler and dermograph), and the level of nourishment was established by using Body Mass Index (BMI) which were compared with the table made in percentiles. The existence and the level of correlation between the researched spaces was made by using the Pearsonžs Chi square test and the contingency coefficient as a correlation measure based on the Chi square test. The greatest number of respondents have normal weight (75,58 %), followed by a much smaller number of those prone to gaining weight (11,29 %), whereas the num­ber of over-weight and undernourished respondents is very small (5,30 %; 6,45 %). The biggest number of cases of the kyphotic body posture was found in the group of over-weight students (60.87 %), followed by a group of students prone to gaining weight 48.98 % and 43.90 % have normal weight; lastly the number of undernourished students amount to 28.57 %. The kyphotic body posture of the male respondents is highest in the group of over-weight students (80%), followed by the undernourished respondents with 71.43%, then those prone to gaining weight with 66.67%, and lastly the respondents with normal weight with 56.91%. The female respondents show the biggest number of kyphotic body posture in the over-weight group too (46.15%), followed by the group of those prone to gaining weight with 35.71%, whereas the smallest number of bad body posture can be found in the group of under-nourished respondents (14.29%). The values of the Pearsonžs Chisquare and Conlingency coefficient, on the level of significance of 0.12, indicates that there is no statistically significant correlation of the kyphotic body posture and the BMI as the research on the population has shown. .
COUPLING ASSEMBLY HAVING AN OVERRUN MODE AND CHANNELED LOCKING MEMBER FOR USE THEREIN

A coupling assembly having an overrun mode and a channeled locking member are provided. The locking member has a ramped, open channel extending through a nose and main body of the locking member to an upper face of the main body. The locking member is movable between first and second positions. The first position is a coupling position and the second position is an uncoupling position. Pressurized fluid directed to a bottom of the channel urges the locking member towards the second position upon rotation of a first member of the assembly in a first direction relative to a second member of the assembly above a predetermined RPM to prevent abutting engagement of the locking member with a shoulder of the first member in the overrun mode.
Advances in research on theories of the dark universe - inhomogeneity effects in relativistic cosmology

The project ARTHUS aims at determining the physical origin of Dark Energy: in addition to the energy sources of the standard model of cosmology, effective terms arise through spatially averaging inhomogeneous cosmological models in General Relativity. It has been demonstrated that these additional terms can play the role of Dark Energy on large scales (but they can also mimic Dark Matter on scales of mass accumulations). The underlying rationale is that fluctuations in the Universe generically couple to spatially averaged intrinsic properties of space, such as its averaged scalar curvature, thus changing the global evolution of the effective (spatially averaged) cosmological model. At present, we understand these so- called backreaction effects only qualitatively. The project ARTHUS is directed towards a conclusive quantitative evaluation of these effects by developing generic and non-perturbative relativistic models of structure formation, by statistically measuring the key-variables of the models in observations and in simulation data, and by reinterpreting observational results in light of the new models. It is to be emphasized that there is no doubt about the existence of backreaction effects; the question is whether they are even capable of getting rid of the dark sources (as some models discussed in the literature suggest), or whether their impact is substantially smaller. The project thus addresses an essential issue of current cosmological research: to find pertinent answers concerning the quantitative impact of inhomogeneity effects, a necessary, worldwide recognized step toward high-precision cosmology. If the project objectives are attained, the results will have a far-reaching impact on theoretical and observational cosmology, on the interpretation of astronomical experiments such as Planck and Euclid, as well as on a wide spectrum of particle physics theories and experiments.
Effect of Dietary Inclusion Deferent Levels of Grape Seed Oil as A Natural Antioxidant on Layer Hens Production Performance, Egg Quality and Some Physiological Traits

This study was conducted to study the effect of inclusion different levels of Grape seed oil as a natural antioxidant on layer hen egg production, egg quality, some blood physiological traits, Delayed Type Hypersensitivity test (DTH) and antioxidants conditions in liver tissue. Results showed that mass egg production as (H.H.) and mass average egg weight were significantly (p<0.05) higher for Grape seed oil treatments than the control. There were significant (p<0.05) improvement in feed conversion ratio and mortality percentage in grape seed oil treatments compared with the control group. There was significant (p<0.01) improvement in feed conversion ratio (gm feed/egg) and mass feed intake in grape seed oil treatments as compared to the control group. The egg quality of Grape seed oil treatments showed significantly (p<0.05) increase in relative weight of shell, albumen and albumen index as compared with the control group. There was a significant (p<0.05) and (p<0.01) decrease in peroxide value (P.V.); (MDA) and free fatty percentage in liver tissue of grape seed oil groups. There were a significant (p<0.05) improvement in the activity of Alanine Amino Transferase enzyme, Packed Cell Volume and Hemoglobin in grape seed oil treatments compared with the control group.
ELECTROMAGNETIC STIRRING DEVICE

Electromagnetic stirring device of melted metallic materials inside a cooling chamber of a casting machine comprising a retaining body of induction coils that is a body composed of at least two reciprocally different portions.
PROBLEMAS DE LA INFERENCIA ESTADÍSTICA

The standard method of statistical inference invol Ves testing a null hypothesis that the researcher usually hopes to reject in order to accept a specific alternative hypothesis. The method is problematic in some ways; for example, consistency with a stringent underlying mathematical model and random sampling are needed, in principie, and decisions need to be based on not only objective outcomes of tests but also subjective evaluation of effect sizes. Some other problems have been wrongly attributed to it, for example, that it often invoives null hypotheses that are preposterous or obviously false, permits only a decision to accept or to reject the null hypothesis, ís misdirected because the real issue is not accept/reject but degree of beiief, is an unfortunate hybridization, involves faulty syllogistic reasoning, and is inferior to the Bayesian approach. These criticisms are answered in this article; the conclusion is that the standard method is sound and, unless misused, it is valuable.