Miracle-dz/UniFAR-FTUs huggingface dataset:
Equilibria and kinetics for reactive extraction of lactic acid using Alamine 336 in decanol

Lactic acid is an important commercial product and extracting this from aqueous solution is a growing requirement in fermentation-based industries. The design of an amine extraction process requires (i) equilibrium and (ii) kinetic data for the acid-amine (solvent) system used. The equilibrium complexation constants for ratios of (1:1) and (2:1) have been estimated. The kinetics of extraction of lactic acid by Alamine 336 in decanol has also been determined. The reaction between lactic acid and Alamine 336 in decanol in a stirred cell falls in Regime 3, ie extraction accompanied by a fast chemical reaction occurring in the diffusion film. The reaction has been found to be zero order in Alamine 336 and first order in lactic acid with a rate constant of 0.21 s-1. These data will be useful in the design of extraction processes.
Impact of integrated use of bio and mineral nitrogen fertilizers on productivity and profitability of wheat (Triticum aestivum L.) under upper Egypt conditions

The effect of integrated use of mineral N fertilizer and biofertilizer (Azotobacter and/or Azospirillum) on grain and straw yields, harvest index and net profit of wheat was assessed. A field experiment was carried out during two years on a sandy soil. The recommended N (230 kg N ha-1) and biofertilizer (Azotobacter and Azospirillum) were applied alone and in various combinations among them. A randomized complete block design, with three replications, was used in this study. Treatments significantly affected grain and straw yields, and harvest index. The highest values of such traits were obtained in treatment T11 (75% mineral N + biofertilizer with Azotobacter and Azospirillum). However, T12 (50% mineral N + biofertilizer with Azotobacter and Azospirillum) resulted also higher values for the above mentioned traits comparing with T1 (100% mineral nitrogen and uninoculated) but the differences among the two treatments almost did not attain the statistical differences. In addition, T11 and T12 gave the maximum return and net profit per ha. From this study, it can be concluded that the biofertilizers (double-inoculation of Azotobacter and Azospirillum) of efficient strains could save 25 or 50 % of the recommended dose of mineral N.
Atypical Cases of Malaria Vivax ISABEL BARROSO AUGUSTO DA SILVA JOSÉ RICARDO DE ARAÚJO CLEONARDO AUGUSTO DA SILVA MAURÍCIO CARNEIRO SIDNEY EMANUEL DOS SANTOS

Professora Adjunta IV Departamento de Medicina Interna/Centro de Ciências da Saúde/Universidade Federal da Paraíba – João Pessoa-Paraíba Brasil. Médico Hospital da UNIMED, Belém, Pará. Médico Hospital Geral de Belém, Belém, Pará. Professor Adjunto IV Laboratório de Genética Humana e Médica/Universidade Federal do Pará. Professor Titular – Departamento de Farmacologia e Fisiologia/Faculdade de Ciências Agrárias do Pará. 1
Développement d’un outil de parcours d’apprentissages en environnement 1:1.

Résumé. Nous parlons des conditions d’enseignement en «1:1» avec tablettes à partir desquelles a émergé le besoin de disposer d’un outil numérique de gestion des activités réalisées par les élèves. Nous nous basons sur le dispositif d’inspiration socioconstructiviste des arbres de connaissances pour proposer une plateforme logicielle dont trois des caractéristiques principales assurent, respectivement, une autonomie augmentée des élèves, des interactions à caractère collaboratif gérées automatiquement, et le stockage de traces précises des activités réalisées pour l’enseignant.
Region-Based Graph Learning towards Large Scale Image Annotation

Graph-based learning provides a useful approach for modeling data in image annotation problems. In this chapter, the authors introduce how to construct a region-based graph to annotate large scale multilabel images. It has been well recognized that analysis in semantic region level may greatly improve image annotation performance compared to that in whole image level. However, the region level approach increases the data scale to several orders of magnitude and lays down new challenges to most existing algorithms. To this end, each image is firstly encoded as a Bag-of-Regions based on multiple image segmentations. And then, all image regions are constructed into a large k-nearest-neighbor graph with efficient Locality Sensitive Hashing (LSH) method. At last, a sparse and region-aware image-based graph is fed into the multi-label extension of the Entropic graph regularized semi-supervised learning algorithm (Subramanya & Bilmes, 2009). In combination they naturally yield the capability in handling large-scale dataset. Extensive experiments on NUS-WIDE (260k images) and COREL-5k datasets well validate the effectiveness and efficiency of the framework for region-aware and scalable multi-label propagation. DOI: 10.4018/978-1-4666-1891-6.ch013
Using tevatron magnets for HE-LHC or new ring in LHC tunnel

Two injector accelerator options for HE-LHC of p+ - p+ collisions at 33 TeV cms energy are briefly outlined. One option is based on the Super-SPS (S-SPS) [1] accelerator in the SPS tunnel, and the other one is based on the LER (Low-Energy-Ring) [2] accelerator in the LHC tunnel. Expectations of performance of the main arc accelerator magnets considered for the construction of the S-SPS and of the LER accelerators are used to tentatively devise some selected properties of these accelerators as potential injectors to HE-LHC.
The micro-politics of micro-leadership: exploring the role of programme leader in English universities

This study is based on interviews with 25 programme leaders at two universities in England. Programme leadership is ubiquitous and essential to effective university operations, yet there is surprisingly little research on the role. It is an ambiguous and complex form of leadership, existing as it does in the space between standard academic and manager profiles. Existing literature on other leadership roles highlights such ambiguity as a major source of stress and cause of inefficiency. Drawing from the perspectives of current programme leaders, four main areas of difficulty are identified: role confusion, the management of others, the status and demands of leadership, and bureaucratic burdens. The paper suggests that the role of programme leader should be taken more seriously at both a research and institutional level, and that sufficient support should be implemented in relation to the four challenges mentioned above. Any real engagement with leadership at programme level, however, should also take into account the micro-politics of institutional management, a politics that combines issues of values, status and identity with more prosaic concerns over role definition, workload and student support.
Population Genetics of the Red Rock Lobster, 
Jasus edwardsii

Understanding patterns of gene flow across a species range is a vital component of an effective fisheries management strategy. The advent of highly polymorphic microsatellite markers has facilitated the detection of fine-scale patterns of genetic differentiation at levels below the resolving power of earlier techniques. This has triggered the wide-spread re-examination of population structure for a number of commercially targeted species. The aims of thesis were to re-investigate patterns of gene flow of the red rock lobster Jasus edwardsii throughout New Zealand and across the Tasman Sea using novel microsatellite markers. Jasus edwardsii is a keystone species of subtidal rocky reef system and supports lucrative export markets in both Australia and New Zealand. Eight highly polymorphic microsatellite markers were developed from 454 sequence data and screened across a Wellington south coast population to obtain basic diversity indices. All loci were polymorphic with the number of alleles per locus ranging from 6-39. Observed and expected heterozygosity ranged from 0.563-0.937 and 0.583-0.961, respectively. There were no significant deviations from Hardy-Weinberg equilibrium following standard Bonferroni corrections. The loci were used in a population analysis of J. edwardsii that spanned 10 degrees of latitude and stretched 3,500 km across the South Pacific. The analysis rejected the null-hypothesis of panmixia based on earlier mDNA analysis and revealed significant population structure (FST=0.011, RST=0.028) at a wide range of scales. Stewart Island was determined to have the highest levels of genetic differentiation of all populations sampled suggesting a high degree of reproductive isolation and self-recruitment. This study also identified high levels of asymmetric gene flow from Australia to New Zealand indicating a historical source-sink relationship between the two countries. Results from the genetic analysis were consistent with results from oceanographic dispersal models and it is likely that the genetic results reflect historical and contemporary patterns of Jasus edwardsii dispersal and recruitment throughout its range.
A Complete Review Article on ABC of Blood Groups

ABO and Rh blood group systems are the most important blood grouping systems from clinical aspect. Determination of blood group is important for blood transfusion therapy, medico-legal purposes, organ transplantation, settlement of paternity disputes etc. Nearly 25 types of blood groups are present. ABO incompatibility between mother and fetus may produce infertility or hemolytic disease of the new born, and persons of certain blood groups have an increased susceptibility to peptic ulcer or gastric cancer. The purpose of this review is to summarize the concepts and origin of ABO and other blood groups systems and Chemistry of Blood group specificity (Glycoproteins found in body fluids).
Plants Growth on Different Fertilized Agricultural Land and Metal Bioavailability

The study compares the amounts of Zea mays, grains, cobs and stalks, harvested on fertilized / unfertilized variant with different fertilizers: M-control, V 1 -fertilized with sewage sludge 50 t/ha + indigenous volcanic tuff, 5 t/ha, V 2 -fertilized with sewage sludge 50 t/ha, V 3 -fertilized with cattle manure, 50 t/ha. The amount of grains and cobs harvested from variant fertilized with cattle manure or sewage sludge mixed with indigenous volcanic tuff were similar. The amount of cobs and grains harvests from variant fertilized with sewage sludge mixed with indigenous volcanic tuff were higher between 15.1-17.5%, respectively 15.4-19.1% than those harvested from variant fertilized with sewage sludge. The indigenous volcanic tuff used as addition at sewage sludge was an important factor for the reduction of bioavailability of metals in the aerial tissues of the plant. The amount of toxic metals, Cd, Cr, Ni, Pb and Zn from the tissues of Zea mays plants was below the maximum limits allowed by the UE rules.
Deep learning for coronary artery segmentation in CTA images

The mortality of cardiovascular diseases (CVD) calls for more knowledge of disease mechanisms and prevention strategies. The SCAPIS study, which is a collaboration between Swedish university hospitals and universities, aims to acquire this knowledge and is the worlds largest study focusing on CVD to date. Among other biomarkers, the SCAPIS study is interested in studying atherosclerotic plaque in coronary arteries which is a major risk factor of CVD. Atherosclerotic plaques can be studied from computed tomography angiography (CTA) images. The first step of the analysis is segmentation of the coronary artery tree, which is tedious and time consuming to do manually. Automatic segmentation techniques can speed up this procedure, but unfortunately, current automatic methods lack the accuracy required and have to be manually corrected. Thus, improving the performance of automatic software could be highly valuable to a large scale study such as SCAPIS. This thesis investigates the viability of a deep learning based automatic segmentation approach and compares its performance to the commercial software Medis QAngioCT Re and to the interobserver variability in manual segmentations from two medical professionals. A version of the state-of-the-art network architecture for vessel wall boundary segmentation, I2I-3D, is implemented in PyTorch and applied to the task. I2I-3D is a fully convolutional network allowing for a variable input size and full volume-to-volume segmentations. It has an encoder-decoder architecture with multiple levels of deep supervision integrated into the decoder. Evaluation on manually corrected segmentations on three CTA images shows that the implemented method outperforms the commercial software for two different segmentation similarity indices; Dice index and modified Hausdorff Distance. However, visual inspection still implies some shortcomings. Although very precise in the segmentation border placement, the network segmentations include broken vessels and unconnected islands of labellings. In contrast, the Medis software’s downfall is its inclusion of small, clinically irrelevant vessels. When comparing to the interobserver variability, both automatic approaches perform unfavourably. Nevertheless, I2I-3D shows promising performance despite the relatively limited data set of 25 manually corrected segmentations. The results encourage further development with clear room for improvement. Most importantly, in order to reach full potential the method requires a significantly larger data set. In conclusion, this thesis confirms the viability of using deep learning to segment coronary arteries in cardiac CTA and should be interpreted as a proof-of-concept, rather than the presentation of a finished product.
Application of spin echo technique to Bose-Einstein condensates: time evolution of the spins by simulating and computing the Gross-Pitaevskii equation

Los fundamentos de la Resonancia Magnetica Nuclear (RMN, o NMR por sus siglas en ingles) se basan en las propiedades magneticas de los nucleos atomicos, como el espn y el momento angular orbital, permitiendo un control preciso en la dinamica del sistema nuclear mediante pulsos de radio frecuencia (RF). La RMN ha revolucionado el campo de la imagen medica, siendo una de las pocas tecnicas que no implica radiaciones ionizantes, junto a la ecografa. Sin embargo, no solamente el campo de la medicina se benecia de las increibles aplicaciones de este fenomeno fsico. Tambien la informacion estructural y qumica de diversas especies atomicas pueden investigarse utilizando RMN. Ademas, en el innovador y puntero campo de la investigacion en computacion cuantica, la resonancia magnetica se presenta como una de las posibles alternativas para crear el primer ordenador cuantico. Por otra parte, la aplicacion de la resonancia magnetica en estados de la materia unicos que aparecen a temperaturas enormemente bajas, explora el comportamiento de los espines en diferentes elementos, revelando propiedades fsicas de importancia inigualable. En esta tesis se estudia la aplicacion de una precisa secuencia de pulsos, llamada eco de espn, a un especco condensado de Bose-Einstein, un espinor de espn-1. El interes de este trabajo se centra en el analisis de la evolucion de los espines con el tiempo, considerando solo las interacciones de corto alcance. Las simulaciones se han generado aplicando algoritmos numericos, utilizando una herramienta en MATLAB R llamada GPELab, desarrollada para representar ecuaciones de Schrodinger no lineales, denominadas ecuaciones de Gross-Pitaevskii. Las tecnicas empleadas se han descrito en detalle, analizando el tipo de algoritmo escogido para estudiar la dinamica del sistema. Estos estudios pueden implementarse en numerosas posibilidades experimentales, ofreciendo una nueva alternativa al uso de RMN en el estudios de sistemas a muy bajas temperaturas.
Dimensional analysis of employer branding perceptions of current employees

Employer branding is an interesting topic among entrepreneurs and researchers, as it is considered a new instrument for helping companies gain strategic advantage over their competitors. Therefore, determining the main components of positive employer branding perception in order to adequately manage it has become a real challenge. This study aims to investigate employer branding components of current employees. The data for the study has been gathered through a survey of 200 white-collar employees of a well-known information technology (IT) firm in Turkey. The results show that employer branding perceptions of current employees mostly develop around symbolic attributions of the firm rather than typical human resources practices such as wages or job safety. This result supports related research, but it is unexpected given the high unemployment rate in Turkey.
Dispersion of strongly confined channel plasmon polariton modes

We report on experimental (by use of scanning near-field optical microscopy) and theoretical investigations of strongly confined (∼λ/5) channel plasmon polariton (CPP) modes propagating at telecom wavelengths (1425–1630 nm) along V-grooves cut in a gold film. The main CPP characteristics (mode index, width, and propagation length) are determined directly from the experimental near-field images and compared to theoretical results obtained using an analytic description of CPP modes supported by (infinitely deep) V-grooves and finite-element simulations implemented in COMSOL.
Influence of information on behavioral effects in decision processes

Rational models in decision processes are marked out by many anomalies, caused by behavioral issues. We point out the importance of information in causing inconsistent preferences in a decision process. In a single or multi agent decision process each mental model is influenced by the presence, the absence or false information about the problem or about other members of the decision making group. The difficulty in modeling these effects increases because behavioral biases influence also the modeler. Behavioral Operational Research (BOR) studies these influences to create efficient models to define choices in similar decision processes.
Framework of a Regional Impacts Assessment Model and Its Application on Arid/Semi-Arid Region

Regional impacts assessment model is an indispensable tool for the study on environmental and economical change and the impacts on ecosystems. In this paper a regional impact assessment model AVIMia, which is an extended version of AVIM is designed. AVIMia is consists of two components: original AVIM (AtmosphereVegetation Interaction Model) and an impact assessment model. Over past 50 year the arid/semi-arid grassland of North China degraded severely due to the change in Climate and social economy. AVIMia is applied to assess the impacts of climatic changes and human activities on grassland in North China, based on historical data, and the different climatic and social scenarios for this region. For the assessment of grassland, specially, the following impact facts are taken into consideration: grazing, cultivation on grassland communities and soil attributes from plot to regional scale. The model is validated by observed data of Inner Mongolia semi-arid grassland. Both the data analysis and model assessment show that: Total aboveground NPP of Inner Mongolia grassland is 771.7*10 kg /yr. Edible aboveground biomass is 498.1*10 kg /yr. Typical steppe and meadow steppe dominate the production of this region. Total estimated livestock holding capacity is 45.51million sheep unit. The grassland is overgrazed more than 100% in Inner Mongolia. Overgrazing is one of the most important reasons inducing the widespread degradation and desertification.
Distribution of seagrasses, and their fish and penaeid prawn communities, in Cairns Harbour, a tropical estuary, northern Queensland, Australia

From aerial photography (July 1987) and diving surveys (February 1988), 876 ha of seagrasses (eight species) were mapped in Cairns Harbour, tropical north-eastern Queensland. Zostera capricorni was the most common seagrass species and had the greatest biomass at 79 g m-2 dry weight of stems and leaves and 180 g m-2 dry weight of roots and rhizomes. The maximum shoot density found was 4798 shoots m-2 of Halodule pinifolia, the second most common species. Seagrasses were found only between 0.5 and 5.0 m below mean sea level. Zostera capricorni was found at the shallowest depths, Halodule pinifolia at the deepest depths. Twenty species of penaeid prawns, nine of which are marketed commercially, were sampled from the seagrass beds. Abundances of prawns of commercial species were significantly greater on seagrass-covered substrata than on nonvegetated substrata. Overall, 5614 mostly small or juvenile fish, representing 134 taxa, were sampled from seagrasses in Cairns Harbour. The most numerous fish species were a goby, Yongeichthys criniger, and a pony fish, Leiognathus splendens. Only 15 species were highly valued as recreational fish, and only 11 species were highly valued as commercial fish. Of the fish species, five (4%) were highly valued species of both groups. The density of fish on the seagrass beds was estimated to be 8809 fish ha-1.
Generalized Asset Value Credit Risk Models and Risk Minimality of the Classical Approach

We place the asset value credit portfolio model in the larger context of generalized correlation models where the normal distribution assumption of asset returns is replaced by an abstract elliptical distribution. Based on closed-form solutions for homogenous portfolios, we show in particular that the classical asset value model is not robust against misspecifications of the assumed asset return distribution, that it further systematically underestimates portfolio risk, if the asset return distribution is non-normal, and that it may also induce insufficient supply of economic capital to cover credit portfolio risk in the world's financial institutions.
Influences of Traffic Emissions and Meteorological Conditions on Ambient PM 10 and PM

The PM10 and PM2.5 levels at a highway toll station were monitored from October to December 2008. Experimental results show that hourly average PM10 and PM2.5 levels at the highway toll station were 10.6–208.4 μg/m and 6.6–187.9μg/m, respectively. Additionally, the PM2.5-to-PM10 ratio at the highway toll station was 0.73, indicating that emissions from traffic sources are dominant in PM2.5 fraction. At the highway toll station, the time variations of the PM10 and PM2.5 levels were not strongly correlated with traffic volumes; however, traffic on the highway markedly elevated ambient PM10 and PM2.5 levels. The PM10 and PM2.5 levels at the highway toll station are higher than those at monitoring stations in the vicinity to the toll station by factors of 1.3–1.4 and 1.4–1.8 times, respectively. The low wind speeds and low mixing-layer heights lead to relatively high PM10 and PM2.5 levels. Moreover, high wind speed also could have resulted in high PM10 and PM2.5 levels due to the re-suspension of particulate matter under well dispersed conditions. Measurements indicate that both traffic emissions and meteorological conditions drive PM10 and PM2.5 levels at the highway toll station.