Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of ecotoxicity of carbon nanomaterials with polyoxometalates

Recent research has shown the potential of nanomaterials in the environmental field, because their high specific surface area provides improved efficiency to several processes. Although their application in soil remediation and water treatment seems promising, information about their possible toxic effects in the aquatic ecosystems is still sparse. The toxicity of three polyoxometalates ([PMo12O40](PMo12), [PMo11VO40] (PMo11V),[PMo10V2O40](PMo10V2)), graphene flakes (GF) and the three polyoxometalates immobilized on GF (PMo12@GF, PMo11V@GF, PMo10V2@GF), which were developed to be used as catalysts on photo-oxidation processes, was evaluated towards the alga Pseudokirchnerielasubcapittata, a recommended species for ecotoxicity tests. The experimental evaluation was carried out according to the inhibition test for algae (EC Regulation 440/2008, which was based on the OCDE Guideline 201). This is based on determining the effect in growth inhibitionof the algae culture (P. subcapitata) exposed to the nanomaterial according to the exposure concentration of material, compared with a control culture. Determination of in vivo chlorophyll content by fluorescence, which is a fast and sensitive method, was used to estimate cell density. The most toxic material was the one with higher content of vanadium (PMo10V2@GF), for which 6.5 mg/L is the effective concentration that causes inhibition to 50% of the alga population.
Applying Deep Learning to Improve Maritime Situational Awareness

We describe a system called ExPATSS (Extensible Platform for Automated Tactical Sensor Screening) that we are developing for the Navy to automatically detect and classify ships from onboard an aircraft carrier. ExPATSS simultaneously processes several video streams for ship detection and classification, in order to reduce the attention and concentration currently required of human sensor operators, who presently have to manually monitor all the video streams at once. ExPATSS leverages recent developments in deep learning, specifically Convolutional Neural Networks (CNN), to accurately detect and classify ships. ExPATSS has been developed and tested using real-world data and this paper discusses the effectiveness of using CNN within the system.
QED Heat Transfer

Classical heat transfer at the macroscale proceeds by three modes: conduction, radiation, and convection. However, at the nanoscale, heat transfer is not governed by classical physics, but rather by QM and a simplified form of QED. QM stands for quantum mechanics and QED for quantum electrodynamics. QED heat transfer is based on QM by the Planck law that requires the heat capacity of the atom to vanish under high EM confinement caused by the high surface-to-volume ratios of nanostructures thereby precluding the conservation of heat by the usual increase in temperature. EM stands for electromagnetic. Treating the nanostructure as a QM box with absorbed heat under high EM confinement, conservation proceeds by QED creating standing EM radiation that charges the nanostructure or is emitted to the surroundings. Diverse applications of QED heat transfer are described.
Stochastic Random Forests with Invariance for RANS Turbulence Modelling

A novel machine learning algorithm is presented, serving as a data-driven turbulence modeling tool for Reynolds Averaged Navier-Stokes (RANS) simulations. This machine learning algorithm, called the Tensor Basis Random Forest (TBRF), is used to predict the Reynolds-stress anisotropy tensor, while guaranteeing Galilean invariance by making use of a tensor basis. By modifying a random forest algorithm to accept such a tensor basis, a robust, easy to implement, and easy to train algorithm is created. The individual decision trees within the random forest are based on randomized partitions of the training data, and are used as a robust outlier filter to prevent over-fitting, and to provide uncertainty estimates on the predictions. The algorithm is trained on several flow cases using DNS/LES data, and used to predict the Reynolds stress anisotropy tensor for new, unseen flows. The resulting predictions of turbulence anisotropy are used as a turbulence model within a custom RANS solver. Stabilization of this solver is necessary, and is achieved by a continuation method and a modified k-equation. Galilean invariance, the outlier filter and the stabilized propagation, are all seen to be essential components for obtaining improved mean-field predictions. Results are compared to a generic random forest, and the neural network of Ling et al. [J. Fluid Mech, 807(2016):155-166, (2016)].
Post-growth annealing induced change of conductivity in As-doped ZnO grown by radio frequency magnetron sputtering

conductivity was consistent with the AsZn(VZn)2 shallow acceptor model. Further increasing the annealing temperature would decrease the hole concentration of the samples finally converted the sample back to n-type. With evidence, it was suggested that the removal of the p-type conductivity was due to the dissociation of the AsZn(VZn)2 acceptor and the creation of the deep level defect giving rise to the green luminescence. V C 2011 American Institute of Physics.
Optimal Operation of the Multireservoir System in the Seine River Basin Using Deterministic and Ensemble Forecasts

AbstractThis article investigates the improvement of the operation of a four-reservoir system in the Seine River basin, France, by use of deterministic and ensemble weather forecasts and real-time control. In the current management, each reservoir is operated independently from the others and following prescribed rule-curves, designed to reduce floods and sustain low flows under the historical hydrological conditions. However, this management system is inefficient when inflows are significantly different from their seasonal average and may become even more inadequate to cope with the predicted increase in extreme events induced by climate change. In this work, a centralized real-time control system is developed to improve reservoirs operation by exploiting numerical weather forecasts that are becoming increasingly available. The proposed management system implements a well-established optimization technique, model predictive control (MPC), and its recently modified version that can incorporate uncertainti.
MINIATURIZED SIZE BRANCH LINE COUPLER USING OPEN STUBS WITH HIGH-LOW IMPEDANCES

In this paper, a miniaturized branch-line coupler is proposed. The topology of the circuit is designed using novel design of T-model approach with open stubs with high-low impedances, which provides necessary bandwidth for WLAN band at 2.45 GHz. The miniaturized branch-line coupler is designed and fabricated with a low-cost FR4 substrate as a platform in producing significantly reduction by more than 64.21% compared to the conventional coupler on inexpensive board. Furthermore, the coupler can equally divide the input signal with 90° phase of difference while maintaining the initial power from the source.
Magnetic Reconnection and Intermittent Turbulence in the Solar Wind

A statistical relationship between magnetic reconnection, current sheets, and intermittent turbulence in the solar wind is reported for the first time using in situ measurements from the Wind spacecraft at 1 AU. We identify intermittency as non-Gaussian fluctuations in increments of the magnetic field vector B that are spatially and temporally nonuniform. The reconnection events and current sheets are found to be concentrated in intervals of intermittent turbulence, identified using the partial variance of increments method: within the most non-Gaussian 1% of fluctuations in B, we find 87%–92% of reconnection exhausts and ∼9% of current sheets. Also, the likelihood that an identified current sheet will also correspond to a reconnection exhaust increases dramatically as the least intermittent fluctuations are removed from the data set. Hence, the turbulent solar wind contains a hierarchy of intermittent magnetic field structures that are increasingly linked to current sheets, which in turn are progressively more likely to correspond to sites of magnetic reconnection. These results could have far reaching implications for laboratory and astrophysical plasmas where turbulence and magnetic reconnection are ubiquitous.
Correlation between Affect and Internet Addiction in Undergraduate Medical

Background: In the postmodern era, the online environment has become a significant arena for everyday living. Internet itself is a harmless tool but incorrect usage of net might consequently result in disruptions in mental health and social relationships. Objective: The present study aims to assess the correlation between affect and internet addiction in undergraduate medical students using the Young’s Internet Addiction Test and affects scores, using the PANAS scale. Methods: This cross-sectional study involved 90 subjects (18-20 years of age) selected by random sampling from the first year undergraduate medical student population.Correlation between the internet addiction test scores and the positive/negative affect scores was calculated using the Pearson’s correlation coefficient. Results: A significantly positive correlation was found between the internet addiction test scores and the negative affect scores. A positive correlation was also found between the daily duration of internet use and negative affect scores. Conclusion: Our study demonstrated a strong correlation between negative affect and internet addiction, highlighting the role of affect in behavioral addictions. This correlation can be made as a useful tool in screening adolescents for internet addiction.
AFLP reveals no sex-specific markers in Persian sturgeon (Acipenser persicus) or beluga sturgeon (Huso huso) from the southern Caspian Sea, Iran

The late sexual maturity in sturgeon and the absence of morphological differences between males and females makes sex discrimination difficult. Identification of sex at an early life stage is of high interest in caviar production because it allows efficient selection of females. In this study, the genome of 10 mature male and 10 mature female specimens of Persian sturgeon (Acipenser persicus) and beluga sturgeon (Huso huso) were screened using AFLP and 100 primer combinations. Results showed a total of 3771 and 3779 scoreable bands in A. persicus and H. huso, respectively. Approximately 30% of markers in A. persicus and 29.6% H. huso were polymorphic. No sex specific makers were identified. The results of the present study suggest that the sex chromosomes are not extensively differentiated in sturgeon species, or possibly the methods utilized were not sufficiently sensitive to recognize them. © 2011 Progress in Biological Sciences, Vol 1, No.1, 55-60.
Phenol Removal Using Granular Dead Anaerobic Sludge Permeable Reactive Barrier in a Simulated Groundwater Pilot Plant

This study investigates the performance of granular dead anaerobic sludge (GDAS) bio-sorbent as permeable reactive barrier in removing phenol from a simulated contaminated shallow groundwater. Batch tests have been performed to characterize the equilibrium sorption properties of the GDAS and sandy soil in phenol-containing aqueous solutions. The results of GDAS tests proved that the best values of operating parameters, which achieve the maximum removal efficiency of phenol (=85%), at equilibrium contact time (=3 hr), initial pH of the solution (=5), initial phenol concentration (=50 mg/l), GDAS dosage (=0.5 g/100 ml), and agitation speed (=250 rpm). Fourier transform infrared (FTIR) analysis proved that the carboxylic acid, aromatic, alkane, alcohol, and alkyl halides groups are responsible for the bio-sorption of phenol onto GDAS.A 2D advection-dispersion, solved numerically by computer solutions (COMSOL) Multiphysics 3.5a software which is based on the finite element method, has been used to simulate the equilibrium transport of phenol within groundwater. This model is taking into account the pollutant sorption onto the GDAS and sandy soil which is represented by Langmuir equation. Numerical and experimental results proved that the barrier plays a potential role in the restriction of the contaminant plume migration. Also, the barrier starts to saturate with contaminant as a function of the travel time. A good agreement between the predicted and experimental results was recognized with root mean squared error not exceeded the 0.055.
MECSE-28-2006 Object Detection by Global Contour Shape

We present a method for object detection based on global shape. A distance measure for elastic shape matching is derived, which is invariant to scale and rotation, and robust against nonparametric deformations. Starting from an over-segmentation of the image, the space of potential object boundaries is explored to find boundaries, which have high similarity with the shape template of the object class to be detected. An extensive experimental evaluation is presented. The approach achieves a remarkable detection rate of 91% at 0.2 false positives per image on a challenging data set.
A survey on video classification using action recognition

The growth in multimedia technology have resulted in producing a variety of videos every day. These videos should be classified in order to help people identify the correct video which they search for when needed. The video classification problem can be said as a probabilistic data classification problem which falls as a subcategory of the machine learning technique. Classification helps in indexing, analyzing, searching etc. A survey has been made on the present technologies that are used for video classification. Various techniques used for video classification such as Multiple Instance Learning (MIL), Conditional Random Field (CRFs) and classifying based on the action and gesture are studied.
VARIABLES REALTED TO CAREER SUCCESS: KOREAN-AMERICAN WOMEN OF DISTINCTION TELL THEIR STORIES

The goal of this research was to uncover the reasons for the unusual success of a small group of Korean-Americans in the American work arena. All had spent their childhood and formative years in Korea under the sole influence of Korean culture, attending the best high schools and colleges. Korean culture tends not to nurture some of the significant personal qualities which make for success in the American context. Furthermore, the American workplace itself holds for Korean females serious obstacles to success, particularly because of racial and gender discrimination. The study was designed to answer specific questions: (1) Are distinguished Korean-American women similar to American women and men who have distinguished themselves? (2) To what factors do they attribute their success? and (3) What career barriers did they encounter and how did they overcome them? The reasons given by the subjects on how they overcame barriers were hard work, being knowledgeable, and directing their energy towards achieving their goals rather than focusing on discrimination. They refused to submit themselves to debilitating negative emotions and attitudes. Having a positive attitude played a critical role in overcoming the barriers they faced. Some important implications reported in this paper are that the development and enhancement of masculine traits are important to the occupational success of women. Parental support and encouragement are important factors in the success of their daughters. It concludes that Korean-American women and women in general should anticipate certain barriers they will encounter, and need to prepare strategies to deal with them. This investigation attempted to promote a general understanding of the factors associated with women's career success. (Contains 14 references.) (JDM) Reproductions supplied by EDRS are the best that can be made from the original document. VARIABLES REALTED TO CAREER SUCCESS: KOREAN-AMERICAN WOMEN OF DISTINCTION TELL THEIR STORIES Susan Byungsook Rhee, Ed.D. Dr. Rhee is a professor and a counselor at College of DuPage, Glen Ellyn, Illinois. She was a Counseling Psychology Graduate program faculty member and a counselor at George Williams college for 11 years prior to college of DuPage. She has 26 years of Counseling and teaching experiences. She conducted many workshops and presented programs on working with Asians and women both State and National level. She served as a President of Illinois Multicultural Counseling and Development Association and served many committees of State and national professional associations.
EXPERIMENTAL COMPARISON BETWEEN MAHONEY AND COMPLEMENTARY SENSOR FUSION ALGORITHM FOR ATTITUDE DETERMINATION BY RAW SENSOR DATA OF XSENS IMU ON BUOY

Abstract. The accurate measurement of platform orientation plays a critical role in a range of applications including marine, aerospace, robotics, navigation, human motion analysis, and machine interaction. We used Mahoney filter, Complementary filter and Xsens Kalman filter for achieving Euler angle of a dynamic platform by integration of gyroscope, accelerometer, and magnetometer measurements. The field test has been performed in Kish Island using an IMU sensor (Xsens MTi-G-700) that installed onboard a buoy so as to provide raw data of gyroscopes, accelerometers, magnetometer measurements about 25 minutes. These raw data were used to calculate the Euler angles by Mahoney filter and Complementary filter, while the Euler angles collected by XSense IMU sensor become the reference of the Euler angle estimations. We then compared Euler angles which calculated by Mahoney Filter and Complementary Filter with reference to the Euler angles recorded by the XSense IMU sensor. The standard deviations of the differences between the Mahoney Filter, Complementary Filter Euler angles and XSense IMU sensor Euler angles were about 0.5644, 0.3872, 0.4990 degrees and 0.6349, 0.2621, 2.3778 degrees for roll, pitch, and heading, respectively, so the numerical result assert that Mahoney filter is precise for roll and heading angles determination and Complementary filter is precise only for pitch determination, it should be noted that heading angle determination by Complementary filter has more error than Mahoney filter.
Study of Complex Coacervation of Gelatin A and Sodium Alginate for Microencapsulation of Olive Oil

Complex coacervation of gelatin A and sodium alginate was carried out to obtain the maximum coacervate yield. Turbidity and coacervate yield (%) measurements were carried out to support the ratio of the two polymers and pH that produced maximum coacervation. The optimum ratio between gelatin A-sodium alginate and pH to form the maximum coacervate complex was found to be 3.5:1 and 3.5–3.8, respectively. Olive oil microencapsulation was carried out at the optimized ratio and pH. Microcapsules were crosslinked by using glutaraldehyde. Scanning electron microscopy studies confirmed the formation of free flowing spherical microcapsules of different sizes. The size of microcapsules increased with the increase in the concentration of the polymer. The encapsulation efficiency and the release rates of olive oil were dependent on the amount of crosslinker, oil loading and polymer concentration. Thermogravimetric study revealed improvement of thermal stability with crosslinking. Fourier Transform Infrared Spectroscopy study showed that there was no significant interaction between olive oil and gelatin-alginate complex.
Perspectivesin CancerResearch Acid pH in Tumors and Its Potential for Therapeutic Exploitation 1

The development of effective therapy for malignant disease has been hindered by the lack of consistent differences between tumor and normal tissue. Thus, unlike antibiotic treatment of bacteria, it has been difficult to develop therapeutic strategies which have major toxic effects against tumors, without causing damage to normal cells. One major difference between many solid tumors and surrounding normal tissue is the nutritional and metabolic environment. The functional vasculature of tu mors is often inadequate to supply the nutritional needs of the expanding population of tumor cells, leading to deficiency of oxygen and many other nutrients. The production of lactic acid under anaerobic conditions and the hydrolysis of ATP in an energy-deficient environment contribute to the acidic microenvironment which has been found in many types of tumor. Deficiency of nutrients and acid conditions may contribute to cell death and necrosis within solid tumors. Many cells, however, are known to survive under marginal conditions, and these cells may be an important cause for failure of conventional therapies. Thus cells remote from blood vessels may be resistant to radiation because of hypoxia and they may also be resistant to anticancer drugs because of limited drug access or because they have a low proliferative rate. Hypoxia and acidity represent two factors that might be exploited therapeutically to destroy such cells. In the present article we review the evidence for development of acid pH within tumors. Regulation of pi I, ' in the face of an
Molecular Evidence for Microbially-Mediated Sulfur Cycling in the Deep Subsurface of the Witwatersrand Basin, South Africa

The continental deep subsurface harbors a heterogeneous community of microorganisms that have yet to be well understood. The gold mines of the Witwatersrand Basin in South Africa provide economically feasible access to this environment. Molecular evidence for biologically-mediated sulfur cycling has been detected in fissure water in the Merriespruit mine and in groundwater from a dolomite aquifer in the Driefontein mine. PCR amplification, cloning, and sequencing of adenosine-5’-phosphosulfate reductase (APS) and 16S rRNA genes were used to assess the composition and diversity of sulfurmetabolizing microbial populations. Both APS reductase and 16S bacterial gene libraries from the Driefontein mine sample were dominated by sequences with high identity to Desulfomicrobium baculatum. The 16S archaeal library from Driefontein had a high percentage of sequences closely related to Methanomicrobium mazei and the ANME group of anaerobic methanotrophs. The 16S bacterial library from the Merriespruit mine sample was dominated by Thiobacillus-related species known to oxidize sulfur. The archaeal library showed a strong affiliation with Methanobacterium curvum. Most APS sequences from Merriespruit were from an undefined lineage but showed close association with clones from the mouse gastrointestinal tract; others were closely related to the sulfur-oxidizing bacterium Allochromatium vinosum. This study reports the first sulfate-reducing d-Proteobacterial sequences from the South African gold mines and greatly increases the known diversity of subsurface sulfur-metabolizing organisms. Geochemical data are consistent with molecular evidence for deep-subsurface sulfur cycling.
Genetic and phenotypic parameter on fertility traits of Red Chittagong Cattle in Bangladesh

The fertility of Red Chittagong Cattle (RCC) of Bangladesh was studied using data from 122 animals from four herds. The least squares means of female fertility traits were 1.4 ± 0.1, 72.6 ± 3.6% and 85.0 ± 2.0%, respectively, for number of services per pregnancy, first service pregnancy rate and overall pregnancy rate. The least squares mean of non-return rate to first service of bull was 58.7 ± 5.1%. The factor having a significant effect on female fertility was herd, while parity had no effect. Herd and parity of dam, season of service and sire had no effect on non-return rate to first service of bull. The heritability of fertility traits were very low: values were 0.07 ± 0.04, 0.03 ± 0.04, 0.05 ± 0.04 and 0, respectively, for number of services per pregnancy, first service pregnancy rate, overall pregnancy rate and non-return rate to first service of bull. The corresponding repeatability values were 0.18 ± 0.08, 0.08 ± 0.07, 0.13 ± 0.08 and -0.07 ± 0.02, respectively. This study reveals the fertility to be good. However, better reproductive management may enhance the overall herd fertility of RCC. DOI: http://dx.doi. org/10.3329/bvet.v29i2. 14347 Bangl. vet . 2012. Vol. 29, No. 2, 78-89