Miracle-dz/UniFAR-FTUs huggingface dataset:
CO 2 saturated water as two-phase flow for fouling control in reverse

When natural feed waters are used in the operation of a reverse electrodialysis (RED) stack, severe fouling on the ion exchange membranes and spacers occurs. Fouling of the RED stack has a strong influence on the gross power density output; which can decrease up to 50%. Moreover, an increase in the pressure loss occurs between the feed water inlet and outlet, increasing the pumping energy and thus decreasing the net power density that can be obtained. In this work, we extensively investigated the use of CO2 saturated water as two-phase flow cleaning for fouling mitigation in RED using natural feed waters. Experiments were performed in the REDstack research facility located at the Afsluitdijk (the Netherlands) using natural feed waters for a period of 60 days. Two different gas combinations were experimentally investigated, water/air sparging and water/CO2 (saturated) injection. Air is an inert gas mixture and induces air sparging in the stack. In the case of CO2, nucleation, i.e. the spontaneous formation of bubbles, occurs at the spacer filaments due to depressurization of CO2 saturated water, inducing cleaning. Results showed that stacks equipped with CO2 saturated water can produce an average net power density of 0.18 W/m2 under real fouling conditions with minimal pre-treatment and at a low outside temperature of only 8 C, whereas the stacks equipped with air sparging could only produce an average net power density of 0.04 W/m2. Electrochemical impedance spectroscopy measurements showed that the stacks equipped with air sparging increased in stack resistance due to the presence of stagnant bubbles remaining in the stack after every air injection. Furthermore, the introduction of CO2 gas in the feed water introduces a pH decrease in the system (carbonated solution) adding an additional cleaning effect in the system, thus avoiding the use of environmentally unwanted cleaning chemicals. © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Distributions and associations of single nucleotide polymorphisms in the leptin gene of Bos taurus and Bos indicus cattle

In recent years, the use of genetic markers has become more and more prevalent in beef breeding programs. This research focused on four previously identified single nucleotide polymorphisms in a leptin gene on chromosome 4 of beef cows. The SNP were E2FB, T945M, UA1, and UA2. Beef cows used in this research were maintained at the Louisiana State University AgCenter Central Research Station. Cows consisted of purebred Bos tauras and Bos indicus cattle as well as crossbreds. The objectives were to estimate genotypic and allelic frequencies for each SNP and to determine the influence of cow breed type, cow age, and SNP genotypes on cow calving rate and date of calving in 2006, cow plasma leptin concentration, body condition score, and pregnancy status in September of 2006, and cow weight change from April to September in 2006. Over all cows, each of the genetic markers showed polymorphism. Allelic frequency for T in these SNP was greater than 0.10. Within cow breed groups the trend for lower or higher frequencies of homozygous genotypes tended to be consistent. Genotypes TT in E2FB, TT in T945M, CC in UA1, and TT in UA2 had lower frequencies. Brahman cows were missing both CT and TT genotypes in UA2 and the UA2‐TT genotype was not present in Braford, Romosinuano F1 and Brahman F1 breed groups. Neither of the genetic marker genotypes influenced variation in plasma leptin level (P > 0.05). Several genetic markers had effects associated with cow traits that were of interest to this research. UA1 genotypes tended (P=0.07) to have an effect on calving rate. UA2 genotypes were associated (P<0.05) with calving date as well as weight loss. Cow breed group influenced (P < 0.05) calving rate, Julian calving date, weight change, and palpation status. Six year and older cows had a larger plasma leptin level and two year old cows had lower body condition scores than other ages of cows. These results indicate that after adjusting for cow breed group and cow age, genetic markers UA1 and UA2 appear to be associated with several reproductive and weight change traits of beef cows.
A Comprehensive Study on the Differences in ERP Implementation between Manufacturing and Service Industry

In the first part, this paper presents a review of current literatures on key critical success factors (KCSFs) and their inevitable relative links with ERP benefits, project (strategic) goals and objectives in ERP implementation; this literature review searches for the available KCSFs in two sectors: manufacturing and service industry. The second part of paper looks into the available literature on differences in manufacturing and service industry. From these differences we deduct that there are differences in ERP implementation between manufacturing and services. INTRODUCTION In the course of the 1990s, ERP systems evolved when the functionality of MRPII in production was blended with other applications concerning quality, maintenance, marketing, sales, personnel and various other support activities. Thus, ERP systems moved away from the manufacturing environment to support of the entire manufacturing company and from there to the support of service companies as well. These changes in functionality and application environment have had an important impact on implementation processes for these systems. There is a voluminous literature on implementing ERP systems, which has resulted in an increasingly long list of critical success factors. There is little systematic attention, however, for the question if implementation requires different approaches if it takes place in a services environment instead of a manufacturing environment. Inspired by some implementation failures in a services environment, we have carried out a systematic review of the literature on this issue. First, we have compared the literature on MRP implementation with the literature on ERP implementation. Since ERP is supportive of many more service elements in the manufacturing environment, we expected some first clues from this comparison. Furthermore, we have compared the literature on ERP implementation before 2000 with that after 2000. Before 2000, implementing ERP was most frequently tied to solving the Y2K problem and solving various other problems with legacy systems, whereas this is most certainly less so after 2000. Again, we expected this comparison to give us a clearer view on differences in implementation requirements between manufacturing and services. In our review we looked at differences in the reasons for ERP adoption (including project goals, business objectives) and differences in project routes (project phases) and key critical success factors in implementation between manufacturing and services. Our investigation shows that some differences can indeed be identified that appear to be related to the inherent differences between manufacturing and services. We conclude that, compared to a manufacturing environment, implementation in a services environment needs to be less technology oriented, more bottom-up and more concerned with external integration with customers.
Composition and Diversity of Ant Species into Leaf Litter of Two Fragments of a Semi-Deciduous Seasonal Forest in the Atlantic Forest Biome in Barra do Choça, Bahia, Brazil

We present here the preliminary results of a study of leaf litter ant diversity in remnant areas of semi-deciduous seasonal forests in the Atlantic Forest biome. Standardized collections were made in 2011, using pitfall and Winkler traps in two fragments of native forest belonging to the municipality of Barra do Choca in the micro-region of the Planalto da Conquista, in Southwestern Bahia State, Brazil; 107 species from 37 ant genera and 9 subfamilies were collected. The observed richness was high, and the diversity indices (Shannon-Wiener) of the two fragments suggest that in spite of being strongly impacted by anthropogenic actions, they maintained a high faunal diversity levels, similar to those observed in other original Atlantic Forest sites in Bahia State. Analyses of the accumulated species richness curves and estimated richnesses (Jackknife 2), however, demonstrated that the survey efforts expended were not sufficient to capture all of the species present. The high observed numbers of unique species, smooth curves of the accumulated richness graphs, and high values of estimated richness suggested that the survey areas were quite heterogeneous. These results furnished new information concerning regional biodiversity that will be useful as initial references for continuing studies of fragmentation processes in the region.
Personality Traits and Behavioral Sleep Patterns: Differences between Men and Women

This study aimed to investigate the behavioral effects of sleep on the personality traits of young adults. The sample consisted of 114 volunteers with ages between 18 and 40. The subjects were characterized into three groups according to Horne and Östberg (1975): Moderately Morning (n = 23); intermediary (n = 52) and Moderately Evening (n = 39). The Horne and Östberg Morningness and Eveningness questionnaire and the Big Five Personality Inventory were used for data collection. MANOVA showed a signifi cant difference between the chronotype and personality traits [λ = 0.78; F(10.198) = 2.52; p < . 05; η2 = 0.11]. The results showed a signifi cant difference on extraversion [F(2.103) = 3.65; p < . 05; η2 = 0.06] and kindness traits [F(2.103) = 8.03; p < . 05; η2 = 0.14]. The investigation suggests that among these subjects, different personality traits may infl uence preference for certain periods of the day to carry out daily activities and that there is a relationship with the standard chronotype. Also, the results indicate that men and women have different personality traits when the effects of the sleep behavior are checked.
Potential Use of I. suffruticosa in Treatment of Tuberculosis with Immune System Activation

Camila Bernardes de Andrade Carli1, Marcela Bassi Quilles1, Danielle Cardoso Geraldo Maia1, Clarice Q. Fujimura Leite1, Wagner Vilegas2 and Iracilda Z. Carlos1 1Departamento de Analises Clinicas e Departamento de Ciencias, Unesp, R. Expedicionarios do Brasil 1601, Araraquara, SP, 2Departamento de Ciencias Biologicas, Unesp, Rodovia Araraquara-Jau, Araraquara, SP, 3Departamento de Quimica Orgânica, Unesp, R. Prof. Francisco Degni, Araraquara, SP, Brazil
Development of a Climate Record of Tropospheric and Stratospheric Column Ozone from Satellite Remote Sensing: Evidence of an Early Recovery of Global Stratospheric Ozone

Ozone data beginning October 2004 from the Aura Ozone Monitoring Instrument (OMI) and Aura Microwave Limb Sounder (MLS) are used to evaluate the accuracy of the Cloud Slicing technique in effort to develop long data records of tropospheric and stratospheric ozone and for studying their long-term changes. Using this technique, we have produced a 32-yr (1979-2010) long record of tropospheric and strato- spheric column ozone from the combined Total Ozone Map- ping Spectrometer (TOMS) and OMI. Analyses of these time series suggest that the quasi-biennial oscillation (QBO) is the dominant source of inter-annual variability of stratospheric ozone and is clearest in the Southern Hemisphere during the Aura time record with related inter-annual changes of 30- 40 Dobson Units. Tropospheric ozone for the long record also indicates a QBO signal in the tropics with peak-to-peak changes varying from 2 to 7 DU. The most important result from our study is that global stratospheric ozone indicates signature of a recovery occurring with ozone abundance now approaching the levels of year 1980 and earlier. The nega- tive trends in stratospheric ozone in both hemispheres during the first 15 yr of the record are now positive over the last 15 yr and with nearly equal magnitudes. This turnaround in stratospheric ozone loss is occurring about 20 yr earlier than predicted by many chemistry climate models. This suggests that the Montreal Protocol which was first signed in 1987 as an international agreement to reduce ozone destroying sub- stances is working well and perhaps better than anticipated.
Host use strategies of individual female brown-headed cowbirds Molothrus ater in a diverse avian community

Although it is well established that brown-headed cowbirds Molothrus ater are host generalists, the parasitism strategies of individual females are not well documented. Here we use microsatellite genotyping to characterize host use by individual female cowbirds. Of 205 offspring sampled at a site in northeastern Illinois during one breeding season, we identified or inferred 33 mothers of 141 offspring, with up to 13 (mean 4.72) offspring assigned to individual females. Most (83%) females were host generalists and parasitized up to five host species, indicating that community-wide patterns of parasitism do not result from different individuals specializing on different host species. However, some females (17%) parasitized a single species, suggesting that alternative host-use strategies may exist within a single population. For host generalist females, individuals often parasitized host species that differed in body mass, nest-site placement, and quality, indicating that female cowbirds exhibit extremely flexible host ranges. However, female cowbirds consistently discriminated among potential hosts, for example, by completely avoiding some common, but unsuitable species.
An Investigation Into Time Domain Features of Surface Electromyography to Estimate the Elbow Joint Angle

In literature, it is well established that feature extraction and pattern classification algorithms play essential roles in accurate estimation of the elbow joint angle. The problem with these algorithms, however, is that they require a learning stage to recognize the pattern as well as capture the variability associated with every subject when estimating the elbow joint angle. As EMG signals can be used to represent motion, we developed a non-pattern recognition method to estimate the elbow joint angle based on twelve time-domain features extracted from EMG signals recorded from bicep muscles alone. The extracted features were smoothed using a second order Butterworth low pass filter to produce the estimation. The accuracy of the estimated angles was evaluated by using the Pearson’s Correlation Coefficient (PCC) and Root Mean Square Error (RMSE). The regression parameters (Euclidean distance, R^2 and slope) were calculated to observe the response of the features to the elbow-joint angle. From the investigation, we found, in the period of motion 10s, MYOP features have the best accuracy: 0.97±0.02 (Mean±SD) and 11.37±3.04˚ (Mean±SD) for correlation coefficient and RMSE respectively. MYOP features also showed the highest R^2 and slope value 0.986±0.0083 (Mean±SD) and 0.746±0.17 (Mean±SD) respectively for flexion and extension motion and all periods of motion.
Development of microbial fuel cell as biosensor for detection of organic matter of wastewater

The removal of biodegradable organic matters (BOM) is a very important aspect of evaluating the treatment efficiency in a wastewater treatment plant. However, conventional Biochemical Oxygen Demand (BOD) method is time consuming (3 or 5 days) and not suitable for online process monitoring. Instead biosensors can be used to measure BOD. Microbial Fuel Cell (MFC) biosensor which uses electroactive biofilms as sensing element has the advantage of long-term stability and minimizes the replacement of sensing elements. BOM could be directly converted to electricity via MFC, where MFC itself is an integration of signal generator and transducer. Proton Exchange Membrane (PEM) is a very important component of MFC and the most widely used Nafion PEM (NPEM) is costly ( Jurado and Colomer, 2002; Liu et al., 2006, Jana et al., 2010 ). Previously, researchers have successfully used low cost clayware separators as PEM (CWPEM) with improved performance of MFC ( Behera et al., 2009 , Jana et al., 2010) . Comparative studies has been carried out between MFC-1 (NPEM) and MFC-2 (CWPEM) to evaluate the performance of MFC as biosensor using mixed anaerobic culture with synthetic wastewater containing acetate as source of carbon. MFC-1 biosensor responds linearly between COD (Chemical Oxygen Demand) concentration of 22 mg/L and 51 mg/L (R 2 =0.954) with a response time between 120 min and 210 min. Similarly, MFC-2 biosensor responds linearly between a concentration 64 mg/L and 212 mg/L (R 2=0.949) with a response time between 310 min and 120 min. The variation in rate of proton conductivity (PC) and thickness of the separators is suspected to be the cause for variation in range of detection and response time. The current market price of NPEM is very high i.e. Rs. 4000/10 cm 2 and that of CWPEM is Rs. 4/10 cm 2 . With improvement in PC of CWPEM, low cost MFC biosensor can be successfully
Ensemble Link Predictor for Heterogeneous Complex Networks

Link prediction in complex networks aims to explore similarities between node pairs. Recently, link prediction has been considered in the presence of network heterogeneity which makes the majority of the homogeneous link prediction approaches infeasible. A meta-structure, known as meta-path, has been proposed to explore such networks. Generating good meta-paths and selecting the best of them introduce some new challenges to link prediction problem. In this paper, a new ensemble-based link prediction approach is proposed in heterogeneous complex networks. This approach consists of three steps: (i) a set of meta-paths are selected such that each of them represents a different semantic between the target node pairs; (ii) a feature vector is extracted for each node pair using each meta-path; (iii) an ensemble of learners would be established on different feature sets. The final link predictor is obtained after the ensemble aggregation. The results on DBLP network show that the proposed approach has more accurate predictions than a single meta-path based link predictor.
Development and First Year Results of a Psychosocial Surveillance System for Chronic Disease Related Health Behaviors

Chronic diseases account for 7 out of 10 deaths in the United States and 60% of the Nation’s health care expenses. Tobacco use, lack of physical activity and poor nutrition account for one third of US mortality. Behavioral surveillance systems such as the Behavioral Risk Factor Surveillance System (BRFSS) provide information on rates of behavior in the population and among different demographic categories. While these systems are essential for health promotion they do not assist the health educator in understanding psychosocial factors which may be related to the rates. A psychosocial surveillance system can aid in understanding the behavior change process and in the readiness of the population for behavior change. Results can assist states and localities in targeting health promotion messages and programs and can help in the allocation of often scarce health promotion funds. In 2000, the Hawaii Department of Health launched the Healthy Hawaii Initiative, a statewide program to reduce tobacco use, increase physical activity, and improve nutrition. As part of the evaluation, researchers at the University of Hawaii implemented a psychosocial surveillance system for the three target behaviors to assess changes in hypothesized mediators including stage of change, self efficacy, attitude and social norms. A random digit dial survey was conducted in the Spring and Fall of 2002 with 4,706 and 4,555 participants, respectively. Results show stability in the demographic characteristics and health behaviors of the sample but changes in the psychosocial variables. Several possible areas for interventions and messaging are demonstrated. A psychosocial surveillance system can be an important tool for health promotion and can lead to better understanding of health behaviors and attitudes. © 2003 Californian Journal of Health Promotion. All rights reserved.
Innovation adoption in healthcare practice : the implementation of pacs at the Brazilian National Cancer Institute ( INCA )

The purpose of this research was to investigate the factors that determined the rapid adoption of the Picture Archiving and Communication System (PACS) at the Brazilian National Cancer Institute (Instituto Nacional de Cancer – INCA). This research was developed through a holistic rejected images (and rescheduled exams), accelerated improvements in the productivity of radiologists the hospital managed its implementation, in particular the following aspects: collaboration between partners, team communication, resistance to change, IT support, staff training, and systemic approach, i.e., consideration of all technical, economic, organizational and human factors that affected the project.
The disturbance-driven changes of periphytic algal communities in a Danubian floodplain lake

Disturbance event-driven changes in periphytic algal communities were studied in a Danubian floodplain using artificial substrata (glass slides). The hydrological regime of the river-floodplain system strongly influenced the physical and chemical environment of the investigated lake. Directional changes in the algal communities, demonstrated by the results of non-metric multidimensional scaling, indicated three distinct phases in periphyton development. Strong seasonal influences in the initial accrual phase favored diatom dominance in spring and rapid development of a community composed of filamentous and stalk-forming chlorophytes towards “climax” in summer. Macrophyte and metaphyton stands spreading represented a physical constraint for periphytic algal development. Irrespective of periphyton age and structure, the onset of disturbances resulted in an immediate decrease in periphytic biomass. Disturbances deeply transformed algal communities, whereas the morpho-functional properties of algal species were found to be decisive in community adaptations to altered environmental conditions. Tightly attached and stalk forming diatoms were shown to have an ability to resist and quickly recover from physical disturbance. Our results highlight the necessity for further development of the morpho-functional classification of periphytic algae, which will contribute to more precise evaluations of disturbance-driven events in freshwater ecosystems.
An experimental study for the Cross Domain Author Profiling classification

Author Profiling is the task of predicting characteristics of the author of a text, such as age, gender, personality, native language, etc. This is a task of growing importance due to the potential applications in security, crime detection and marketing, among others. An interesting point is to study the robustness of a classifier when it is trained with a dataset and tested with others containing different characteristics. Commonly this is called cross domain experimentation. Although different cross domain studies have been done for datasets in English language, for Spanish it has recently begun. In this context, this work presents a study of cross domain classification for the author profiling task in Spanish. The experimental results showed that using corpora with different levels of formality we can obtain robust classifiers for the author profiling task in Spanish language.