Miracle-dz/UniFAR-FTUs huggingface dataset:
CALHIDRA 3 . 0 e New software application for river water quality prediction based on RWQM 1

This paper presents CalHidra 3.0, a new software package developed for dynamic simulation of water quality in rivers. CalHidra 3.0 combines a 1-D hydrodynamic model based on Saint Venant equations, a transport sub-model that incorporates the advectionedispersion terms, and a simplified version of the River Water Quality Model 1 (RWQM1) for the biochemical transformations. This advanced biochemical sub-model allows the dynamic simulation of the bacterial populations in rivers, making possible the simulation of the river acclimatisation to changes of pollutant load or environmental conditions. The software also includes new tools for a Monte Carlo based Bayesian calibration of the unknown model parameters. CalHidra 3.0 is implemented based on the Component Object Model (COM) programming paradigm and uses the Windows graphical environment. Three case studies illustrate the possibilities of the CalHidra 3.0 software. 2011 Elsevier Ltd. All rights reserved. Software availability Name of software: CalHidra 3.0 Developer: CEIT Environmental Engineering Department (http://www.ceit.es/) First available year: 2008 Software requirements: Windows 2000 or XP Programming language: C/Cþþ, Fortran and C# Program availability and cost: The software application CalHidra 3.0 is property of the engineering company EPTISA S.A. , Madrid, Spain. Contact person: Diego San Martín. E-mail: dsanmartin@eptisa.es
Modelling of Reservoir Induced Earthquake Using Relevance Vector Machine

In large reservoirs, the water column alters in-situ stress state along an existing fault or fracture. The load of the water column is often so intense that it can significantly change the stress state leading to induced seismicity. Various empirical and calculative techniques are in place to predict the probable occurrence and magnitude of such seismic variations. This paper utilizes the Relevance Vector Machine (RVM) approach for prediction of Magnitude (M) of reservoir induced earthquake. RVM is developed in probabilistic framework. It produces sparse solution. RVM uses two input parameters namely depth of the reservoir and the other being a comprehensive parameter representing reservoir geometry for prediction of M.
Application of BP neural network in water quality assessment for Miyun Reservoir recharged with reclaimed water

As the reclaimed water was treated as point source pollution,a pollutant concentration model was developed according to the 0-dimensional water quality model. Based on pollutant concentration,BP neural network was used in water quality assessment for Miyun Reservoir recharged with reclaimed water. The study and test samples for the BP neural network were created by randomizer to meet the requirements of the number of samples by a BP model. It is illustrated that it is safe and feasible to use the reclaimed water to supply Miyun Reservoir.
Selective and rapid separation of DEHP from aqueous solution by magnetic molecularly imprinted polymer

Magnetic molecularly imprinted polymer nanoparticles (MMIPs) for di(2ethylhexyl)phthalate (DEHP) were prepared by surface imprinting technology , and used for selective separation of DEHP from aqueous solution. The MIIPs were characterized using Fourier transform infrared spectroscopy, scanning electronic microscopy, thermogravimetric analysis and vibrating sample magnetometer. It was found that the MMIPs had an average diameter of around 33 nm and a saturation magnetization of 15 emu g. The adsorption property studies showed that the adsorption of DEHP onto the MMIPs was spontaneous and exothermic, the adsorption equilibrium was achieved within 1 h, the maximum adsorption capacity was 30.7 mg g, and the adsorption process could be described by Langmuir isotherm model and pseudo-second-order kinetic model. The MMIPs had good adsorption selectivity for DEHP, the imprinting factor of DEHP was 3.6, and the selectivity coefficient of DEHP with respect to structural analogues, di-n-octyl phthalate (DNOP) and dibutyl phthalate (DBP), were 5.2 and 4.8, respectively. The reusability of MMIPs was demonstrated for at least 8 repeated cycles without significant loss in adsorption capacity for DEHP.
3 Influences of swab types and storage temperatures on isolation and molecular detection of 4 Mycoplasma gallisepticum and Mycoplasma synoviae

23 Routine diagnosis of Mycoplasma gallisepticum (MG) and Mycoplasma synoviae (MS) is performed 24 by collecting oropharyngeal swabs, followed by isolation and/or detection by molecular methods. 25 The storage temperature, storage duration and the type of swabs could be critical factors for a 26 successful isolation or molecular detection. The aim of this study was to compare the influence of 27 different types of cotton tipped swabs stored at different temperatures, on detection of MG and 28 MS. To achieve this, a combined use of traditional culture analysis (both agar and broth), with 29 modern molecular detection methods was utilised. Performances of wooden and plastic shaft 30 swabs, both without transport medium, were compared. Successful culture of M. gallisepticum 31 was significantly more efficient from plastic swabs when compared to wooden, whereas no 32 difference was seen for re-isolation of M. synoviae . Storage at 4 oC compared to room 33 temperature also increased the efficiency of culture detection for both Mycoplasma species. 34 When stored at room temperature, PCR detection limits of both MG and MS were significantly 35 lower for wooden compared to plastic swabs. The qPCR data showed similar detection limits for 36 both swab types when stored at both temperatures. Results suggest that swabs with plastic shaft 37 should be preferred for MG and MS detection by both culture and PCR. While a lower storage 38 temperature (4°C) is optimal for culture recovery, it seems that both temperatures investigated 39 here are adequate for molecular detection and it is the swab type which carries a greater 40 influence.
Obliquely Incident Poincaré Waves on a Sloping Continental Shelf

Abstract An analytical theory of barotropic tides propagating onto a sloping continental shelf from the deep ocean is developed. The plane Poincare waves incident from the deep ocean are obliquely angled, and a full matching of shelf and ocean solutions is implemented. Allowance for a nonzero water depth at the coast requires an additional term, the Bessel function of second kind, in the solution. The full solution is examined for response characteristics for both frictionless tides and for tides affected by a linear bottom friction, and energy dissipation rates are evaluated. Results for narrow continental shelves indicate that a small but nonzero coastal wall depth, in conjunction with the angle of incidence, can play a significant role in modifying the response, while for wider continental shelves both of these features greatly modify the response at resonance.
Linköping University Post Print An In Vitro Model for Neuroscience : Differentiation of SH-SY 5 Y Cells into Cells with Morphological and Biochemical Characteristics of Mature Neurons

Neuroscience, including research on Alzheimer ́s disease, is hampered by the lack of suitable in vitro models to study the human nervous system. To counteract this, many attempts to differentiate cell lines into more neuron-like cells have been performed, resulting in partial expression of neuronal features. Furthermore, it has been reported that neuroblastoma cell lines lack mature isoforms of tau. Our aim was to develop an improved in vitro model, generating sustainable cells with morphology and biochemistry of human, mature neurons. To obtain cells with neuronal differentiation and function, we investigated the effect of combining three-dimensional culturing of SH-SY5Y cells in extra cellular matrix (ECM) gel with several factors reported to have neuro differentiating effects. This resulted in cells with apparent neuronal morphology with long, extensively branched neurites. Further investigation revealed expression of several neurospecific markers including synapse protein Sv2 and nuclear marker NeuN, as well as the presence of synapses and axonal vesicle transport. In addition, these cells expressed mature tau isoforms, and tau protein expression was significantly increased compared to undifferentiated cells, reaching levels found in adult human brain. In conclusion, we found that pre-treatment with retinoic acid followed by ECM gel culturing in combination with brain derived neurotrophic factor, neuregulin β1, nerve growth factor, and vitamin D3 treatment generated sustainable cells with unambiguous resemblance to adult neurons. These cells also expresses adult splicing forms of tau with neuronal localization, making this cellular in vitro model useful in many areas of neuroscience research, particularly the Alzheimer ́s field.
3D Migration using the Fourier finite difference method

Conventional post-stack 3-D migration is normally based on finite differences and is prone to errors both at steep dips and azimuths between the inline and crossline directions. Recent work on these problems has concentrated on elegant 3-D transformations of explicit 2-D w-x migration methods (e.g. Hale, 1991). Unfortunately, although these techniques are accurate for steep dips in all directions, they are relatively expensive. In this work we consider a new approach to 3-D migration based on the Fourier finite difference approach. We find this is an attractive alternative to both conventional finite difference and explicit w-x methods, especially when implemented using four-way splitting.
- 09-04 In Vivo Mature Immunological Synapses Forming SMACs Mediate Clearance of Virally Infected Astrocytes From the Brain

The microanatomy of immune clearance of infected brain cells remains poorly understood. Immunological synapses are essential anatomical structures that channel information exchanges between T cell–antigen-presenting cells (APC) during the priming and effector phases of T cells' function, and during natural killer–target cell interactions. The hallmark of immunological synapses established by T cells is the formation of the supramolecular activation clusters (SMACs), in which adhesion molecules such as leukocyte function-associated antigen 1 segregate to the peripheral domain of the immunological synapse (p-SMAC), which surrounds the T cell receptor–rich or central SMAC (c-SMAC). The inability so far to detect SMAC formation in vivo has cast doubts on its functional relevance. Herein, we demonstrate that the in vivo formation of SMAC at immunological synapses between effector CD8+ T cells and target cells precedes and mediates clearance of virally infected brain astrocytes. Barcia C et al. PubMed ID: 16923851
Automatic, cloud-independent, scalable Spark cluster deployment in cloud

This paper shows the results of the second step of a project targeting the creation of all the major Big Data and Machine Learning environments by the use of Occopus, a cloud orchestrator tool. In this second step we have created the Occopus descriptors of a Spark environment that is combined with Hadoop HDFS, scalable and deployable in major cloud systems like Amazon, OpenStack, OpenNebula, CloudSigma, etc. The deployment of such a Spark environment is automatic and hence facilitates the usage of Spark technology in clouds. The Spark environment was successfully used by the Institute for Political Science of the Hungarian Academy of Sciences to the classiﬁcation of newspaper articles.
Shamba Maisha : Pilot agricultural intervention for food security and HIV health outcomes in Kenya : design , methods , baseline results and process evaluation of a cluster-randomized controlled trial

Background: Despite advances in treatment of people living with HIV, morbidity and mortality remains unacceptably high in sub-Saharan Africa, largely due to parallel epidemics of poverty and food insecurity. Methods/Design: We conducted a pilot cluster randomized controlled trial (RCT) of a multisectoral agricultural and microfinance intervention (entitled Shamba Maisha) designed to improve food security, household wealth, HIV clinical outcomes and women’s empowerment. The intervention was carried out at two HIV clinics in Kenya, one randomized to the intervention arm and one to the control arm. HIV-infected patients >18 years, on antiretroviral therapy, with moderate/severe food insecurity and/or body mass index (BMI) <18.5, and access to land and surface water were eligible for enrollment. The intervention included: 1) a microfinance loan (~$150) to purchase the farming commodities, 2) a micro-irrigation pump, seeds, and fertilizer, and 3) trainings in sustainable agricultural practices and financial literacy. Enrollment of 140 participants took four months, and the screening-to-enrollment ratio was similar between arms. We followed participants for 12 months and conducted structured questionnaires. We also conducted a process evaluation with participants and stakeholders 3–5 months after study start and at study end. Discussion: Baseline results revealed that participants at the two sites were similar in age, gender and marital status. A greater proportion of participants at the intervention site had a low BMI in comparison to participants at the control site (18% vs. 7%, p = 0.054). While median CD4 count was similar between arms, a greater proportion of participants enrolled at the intervention arm had a detectable HIV viral load compared with control participants (49% vs. 28%, respectively, p < 0.010). Process evaluation findings suggested that Shamba Maisha had high acceptability in recruitment, delivered strong agricultural and financial training, and led to labor saving due to use of the water pump. Implementation challenges included participant concerns about repaying loans, agricultural challenges due to weather patterns, and a challenging partnership with the microfinance institution. We expect the results from this pilot study to provide useful data on the impacts of livelihood interventions and will help in the design of a definitive cluster RCT. Trial registration: This trial is registered at ClinicalTrials.gov, NCT01548599.
Assessing the Impact of Horizontal Error Correlations in Background Fields on Soil Moisture Estimation

Abstract The importance of horizontal error correlations in background (i.e., model forecast) fields for large-scale soil moisture estimation is assessed by comparing the performance of one- and three-dimensional ensemble Kalman filters (EnKF) in a twin experiment. Over a domain centered on the U. S. Great Plains, gauge-based precipitation data is used to force the “true” model solution, and reanalysis data for the prior (or background) fields. The difference between the two precipitation datasets is thought to be representative of errors that might be encountered in a global land assimilation system. To ensure realistic conditions the synthetic observations of surface soil moisture match the spatiotemporal pattern and expected errors of retrievals from the Scanning Multichannel Microwave Radiometer (SMMR) on the Nimbus-7 satellite. After filter calibration, average actual estimation errors in the (volumetric) root zone moisture content are 0.015 m3 m−3 for the 3D-EnKF, 0.019 m3 m−3 for the 1D-EnKF, and 0.
Antifungal , antibacterial and insecticidal potential of Chara schweinitzii ( A . Braun ) Kützing in Charsadda , Pakistan

Various organic solvents were experimented for the screening out of the natural activities of Chara schweinitzii and crude ethanolic extracts. In vitro potential like antifungal activities, antibacterial activities, insecticidal activities and some extracts (n-hexane, chloroform, ethyl acetate, methanol and ethanol) were tested into the experiment. The results of our study showed some major response and vital antifungal activity by the C. schweinitzii for the tested fungal species. Disc diffusion and agar well diffusion method was used to test the extract. The experiment was observed, where methanol extracts were inhibited the growth of the used bacteria. Completed tests of C. schweinitzii were carefully inspected against the resulted bacterial strains. The impregnated filter paper method process was used for investigation of the insecticidal potential of the algal extracts. The scope of our study is to understand the importance to natural resources (bioactive compounds) for pharmaceutical industry as well as our study is based on the premier findings in Nisatta region, district Charsadda.
Gender Differences in Realistic Interests with Social Cognitive Career Theory

The purpose of the present study was to examine the extent to which gender differences in Realistic interests are explained by gender-based personality variables, occupational perceptions of sex-type and income, learning experiences, and confidence using an archival data set. The Realistic theme is described as occupations or interests that are “hands on” and practical, such as carpentry. In 2009, 427 participants from a large, Midwestern university completed measures of masculinity, femininity, learning experiences, confidence, and interests. The results of the study suggest that men receive more Realistic learning experiences, which provides them with more confidence in Realistic tasks, while also increasing their expectations of finding more men in Realistic fields. These factors likely lead to higher levels of Realistic interest and a higher likelihood of men choosing Realistic occupations. However, the gender difference shown by the significant path from gender to Realistic interest was robust and was not accounted for by the other significant paths.
Dealing with daily emotions—supportive activities for the elderly in a municipal care setting

There are diverse descriptions of supportive activities in nursing to be found in the literature. What they have in common is their association with good care outcomes, but they may differ depending on the context in which the care is given. In a Swedish municipal elderly care setting, registered nurses (RN) work in a consultative way and they describe a part of their tasks as comprising supportive activities without specifying what kind of supportive activities they mean. The aim of the study was to explore the main concern of the support given by RN to a group of patients in an elderly home care setting. The study was conducted using Grounded Theory. Data were collected using nonparticipant observations regarding the supportive activities of 12 RN at the home of 36 patients between the ages of 80 and 102. Most of the home visit lasted about 40 min but some lasted for 90 min. The central category was about dealing with daily emotions. This was done by encouraging the situation and reducing the patient's limitations, but situations also occurred in which there was a gap of support. Support was about capturing the emotions that the patient expressed for a particular moment, but there were also situations in which RN chose not to give support. To develop a holistic eldercare, more knowledge is needed about the factors causing the RN to choose not to provide support on some occasions.
Domain-specific languages: an annotated bibliography

We survey the literature available on the topic of domain-specific languages as used for the construction and maintenance of software systems. We list a selection of 75 key publications in the area, and provide a summary for each of the papers. Moreover, we discuss terminology, risks and benefits, example domain-specific languages, design methodologies, and implementation techniques.
APPLICATION OF CENTER APPROACH GREY GM (1,1) MODEL TO PREDICTION OF LANDSLIDE DEFORMATION WITH A CASE STUDY

Huanglongxicun landslide is located in Tianshui city of Gansu province. It belongs to loess landslide with high potential energy. With the volume capacity of 3.9×105m3, its substratum is granodiorite. In order to improve the prediction accuracy of grey GM(1,1) model, center approach grey GM (1,1) model is used in the deformation prediction of Huanglongxicun landslide. It is indicated that the predicting values of center approach GM (1,1) model are well agreed with monitoring values for the landslide, and have much higher prediction accuracy than that of traditional grey GM(1,1) model because error sum of squares and error percent for center approach GM (1,1) model is lower than that of traditional grey GM(1,1) model. Moreover, the center approach GM (1,1) model can be improved by adjusting the value of the parameter m in the model. When m is equal to 6, prediction accuracy for center approach GM (1,1) model is over 5.34% than that of traditional grey GM(1,1) model.
COMPARISON OF BLACK CARBON CONCENTRATIONS RETRIEVED BY AERONET WITH SURFACE MEASUREMENTS

Column integrated black carbon (BC) concentrations have been retrieved at Lecce (40.4°N; 18.1°E), by u sing the Maxwell Garnet (MG) mixing rule in a mixture of BC and (NH4)2(SO4) embedded in water host. The volume fraction of each component was retrieved by matching the mixture refractive index with AERONETretrieved refractive index. AERONET size distributi ons were used to evaluate mass densities from volume fractions. We have found that BC mass densities var ied on average within 0.7-8 mg/m 2 during the 2007-2010 years. BC mass densities varying from 9 up to 20 mg/m were found from 23 August up 2 September, 2007, as a consequence of the advection of carbonaceous particles produced by the forest fires occurred over Greece. Sensitivity tests have been performed to evaluate the sensitivity of BC volume fractions to the selected refractive index values f or the mixture components.
MAXIMIZING INTRA-INDIVIDUAL CORRELATIONS FOR ILLUMINATION-INSENSITIVE FACE RECOGNITION

Illumination variation has been one of the most intractable problems in face recognition and many approaches have been proposed to handle illumination problem in the last decades of years. The key problem is how to get stable similarity measurements between two face images of the same individual but captured under dramatically different lighting conditions. We propose a framework to optimize the illumination normalization for a pair of gallery and probe face images by maximizing a correlation (MAC) between them. The illumination normalization in the proposed framework tends to maximize the intra-individual correlations instead of both the interand intra-individual correlations. Experiments on Extended YaleB and CMUPIE face databases show the effectiveness of our proposed approach in face recognition across varying lighting conditions.
How transformational leadership shapes team proactivity: The mediating role of positive affective tone and the moderating role of team task variety.

The authors examine how and when transformational leadership can contribute to team proactivity. Drawing on the affect-as-resources perspective, they propose that transformational leadership will contribute to team proactivity by cultivating positive group affective tone within teams. They further indicate that the function of positive group affective tone in shaping team proactivity will be stronger when team task variety is higher. These hypotheses were supported by results based on 76 teams in the same organization. The results reveal that the mediation effect of positive group affective tone on the association between transformational leadership and team proactivity is stronger when team task variety is high rather than low. This investigation contributes to the literature by suggesting how to promote proactivity at a team level.
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Please note that technical editing may introduce minor changes to the text and/or graphics, which may alter content. The journal’s standard Terms & Conditions and the Ethical guidelines still apply. In no event shall the Royal Society of Chemistry be held responsible for any errors or omissions in this Accepted Manuscript or any consequences arising from the use of any information it contains. Accepted Manuscript Analytical Methods