Miracle-dz/UniFAR-FTUs huggingface dataset:
Se p 20 12 HIGH-PERFORMANCE SOLVERS FOR DENSE HERMITIAN EIGENPROBLEMS

We introduce a new collection of solvers – subsequently called EleMRRR – for large-scale dense Hermitian eigenproblems. EleMRRR solves various types of problems: generalized, standard, and tridiagonal eigenproblems. Among these, the last is of particular importance as it is a solver on its own right, as well as the computational kernel for the first two; we present a fast and scalable tridiagonal solver based on the algorithm of Multiple Relatively Robust Representations – referred to as PMRRR. Like the other EleMRRR solvers, PMRRR is part of the freely available Elemental library, and is designed to fully support both message-passing (MPI) and multithreading parallelism (SMP). As a result, the solvers are equally effective in message-passing environments with and without SMP parallelism. We conducted a thorough performance study of EleMRRR and ScaLAPACK’s solvers on two supercomputers. Such a study, performed with up to 8,192 cores, provides precise guidelines to assemble the fastest solver within the ScaLAPACK framework; it also indicates that EleMRRR outperforms even the fastest solvers built from ScaLAPACK’s components.
When binaries keep track of recent nucleosynthesis-The Zr–Nb pair in extrinsic stars as an s-process diagnostic

Context. Barium stars are s-process enriched giants. They owe their chemical peculiarities to a past mass transfer phase. During this phase they were polluted by their binary companion, which at the time was an asymptotic giant branch (AGB) star, but is now an extinct white dwarf. Barium stars are thus ideal targets for understanding and constraining the s-process in lowand intermediate-mass AGB stars. Aims. We derive the abundances of a large number of heavy elements in order to shed light on the conditions of operation of the neutron source responsible for the production of s-elements in the former companions of the barium stars. Methods. Adopting a recently used methodology, we analyse a sample of eighteen highly enriched barium stars observed with the high-resolution HERMES spectrograph mounted on the Mercator telescope (La Palma). We determine the stellar parameters and abundances using MARCS model atmospheres. In particular, we derive the Nb–Zr ratio which was previously shown to be a sensitive thermometer for the s-process nucleosynthesis. Indeed, in barium stars, 93Zr has fully decayed into mono-isotopic 93Nb, so Nb/Zr is a measure of the temperature-sensitive 93Zr/Zr isotopic ratio. Results. HD 28159, previously classified as K5III and initially selected to serve as a reference cool K star for our abundance analysis, turns out to be enriched in s-process elements, and as such is a new barium star. Four stars are characterised by high nitrogen abundances, and among those three have high [Nb/Zr] and [hs/ls] ratios. The derived Zr and Nb abundances provide more accurate constraints on the s-process neutron source, identified to be 13C(α, n)16O for barium stars. The comparison with stellar evolution and nucleosynthesis models shows that the investigated barium stars were polluted by a low-mass (M ∼ 2−3 M ) AGB star. HD 100503 is potentially identified as a high metallicity analogue of carbon-enhanced metal-poor star enriched in both rand s-process elements (CEMP-rs).
High-resolution, 3D radiative transfer modelling

The star formation rate and the mass of interstellar medium (ISM) have a high predictive power for the future evolution of a galaxy. Nevertheless, deriving such properties is not straightforward. Dust emission, an important diagnostic of star formation and ISM mass throughout the Universe, can be powered by sources unrelated to ongoing star formation. In the framework of the DustPedia project we set out to disentangle the radiation of the ongoing star formation from that of the older stellar populations. This is done through detailed 3D radiative transfer simulations of face-on spiral galaxies. We take special care in modelling the morphological features present for each source of radiation. In this particular study, we focus on NGC 1068, which in addition contains an active galactic nucleus (AGN). The effect of diffuse dust heating by an AGN (beyond the torus) has so far only been investigated for quasars. This additional dust heating source further contaminates the broadband fluxes that are used by classic galaxy modelling tools to derive physical properties. We aim to fit a realistic model to the observations of NGC 1068 and quantify the contribution of the several dust-heating sources. Our model is able to reproduce the global spectral energy distribution of the galaxy. It matches the resolved optical and infrared images fairly well, but deviates in the UV and the submillimetre (submm). This is partly due to beam smearing effects, but also because the input dust distribution is not sufficiently peaked in the centre. We find that AGN contamination of the broadband fluxes has a strong dependency on wavelength. It peaks in the mid-infrared, drops in the far-infrared, and then rises again at submm wavelengths. We quantify the contribution of the dust-heating sources in each 3D dust cell and find a median value of 83% for the star formation component. The AGN contribution is measurable at the percentage level in the disc, but quickly increases in the inner few hundred parsecs, peaking above 90%. This is the first time the phenomenon of an AGN heating the diffuse dust beyond its torus is quantified in a nearby star-forming galaxy. NGC 1068 only contains a weak AGN, meaning this effect could be stronger in galaxies with a more luminous AGN. This could significantly impact the derived star formation rates and ISM masses for such systems.
Molecular docking and pharmacokinetic prediction of phytochemicals from Syzygium cumini in interaction with penicillin-binding protein 2a and erythromycin ribosomal methylase of Staphylococcus aureus

Background MRSA and MLSB resistant S. aureus are known as important pathogens, which are responsible for many cases of both hospital and community-acquired infections worldwide. Studying drug discovery from plant sources is regarded as an important prevention strategy regarding these types of infections. Material and methods Agar well diffusion method was performed for antimicrobial evaluation, LCMS technique used for identification of different compounds, molecular docking performed by application of i GEMDOCK for PBP2a and ERM to plant compounds, and its pharmacokinetic evaluation of ADMET through use of AdmetSAR. Results Water extract was the most effective against resistant strains of Staphylococcus aureus. Twenty compounds belonging to phenols, flavonoids, organic acids, terpenoids groups were reported. Eighteen plant compounds passed in Lipinski's rule of five. i GEMDOCK revealed diferulic acid has the least binding energy –102.37 kcal/mole to penicillin-binding protein 2a and taxifolin has the least binding energy of –103.12 kcal/mole to erythromycin ribosomal methylase in comparison to control linezolid. These compounds raise the potential for developing potent inhibitors of penicillin-binding protein 2a and erythromycin ribosomal methylase for drug development. ADMET properties revealed that eighteen studied compounds were found in category III and IV with non-toxic properties except two butin and taxifolin found in category II with toxic properties. Conclusions It can be concluded that diferulic acid and taxifolin compounds provide the best inhibitor effect to PBP2a and ERM protein for inhibition of MRSA and MLSB resistant strains of S. aureus through the application of molecular docking, leading to a lead drug candidate for the treatment of diseases.
An Investigation of the Toxicity of Compound Insecticide (Acetamiprid with Thiamethioxam) on the Development of Broiler Chicken Ross 308

Insecticides are chemical compounds that are extensively used for pest management in agriculture, urban and household environments as well as in the medicine to control different diseases such as typhus and malaria amongst others. The purpose of the current study was to investigate the toxicity effects of the compound insecticide (Acetamiprid with Thiamethioxam) on the development of Broiler chicken embryo Ross 308. Two hundred and fifty fertile eggs were divided into six groups as follows: control groups one was injected with distilled water and the other four groups were injected into the yolk sac with 100μl/egg from Acetamiprid with Thiamethioxam at concentrations (360, 540, 900 and 1800ppm). The morphological features were studied on the days 10 and 21 of incubation. The results showed that the four concentrations caused reduction in the weight of treated embryos and significant increase in the mortality. In addition, there were clear abnormalities in both ages (10 and 21) including over growth in the brain, twisted cleft beak, wry neck, eye deformation, ectopia visceral, delayed retraction of yolk sac, abnormal limbs, and broken legs. Microscopically, the liver tissue showed different changes at both incubation periods (10th day and 21st day) including necrosis and degenerative changes of hepatocytes with congestion of central vein and sinusoids with mononuclated inflammatory cells infiltration. To conclude, the current study revealed that Acetamiprid with Thiamethioxam caused significant morphological and histological changes in chicken Ross 308.
Study on Desktop Partner Based on Python and Machine Learning

-Emotion detection plays a vital role in recent days. Through this paper, we tend to gift a approach for building this desktop application using facial expressions. Our application will acknowledge the mood of a user through camera. For an instance, if a user is unhappy, then system will mechanically show some message along with user’s mood on the screen. For this whole system, we tend to square measure victimisation technologies like Machine Learning, Python , Data Mining etc . The testing dataset is being compared to coaching dataset and so motion is expected. the target of this paper is to develop a system which may analyze the image and predict the expression of an individual. Its some major Keywords: Image process, Python, Machine Learning.
Prospective Comparative Study of Prevalence of Vitamin D3 Deficiency in First Trimester Pregnancy in Urban and Rural Areas

Introduction: Vitamin D3 deficiency during pregnancy may have a negative effect on both mother and child. The aim of the present study is to do a comparative study of prevalence of vitamin D3 deficiency during first trimester of pregnancy in Indian women in urban and rural areas and to decide if vitamin D3 supplementation is needed in pregnancy. Materials and methods: Prospective comparative study of prevalence of vitamin D3 deficiency in first trimester pregnancy in urban and rural areas was carried out at B. J medical college from January 2016 to January 2017. Blood samples of urban women from Ahmedabad civil hospital were collected routinely for screening for serum Vitamin D3 during first trimester of pregnancy and blood samples of rural women were collected from Kavitha village of Ahmedabad district. The serum concentrations of vitamin D3 were analysed by the High Performance Liquid Chromatography. Results: In 84% of the study population (N=50), vitamin D3 concentrations were below 30ng/ml, which is attributed to an insufficient status. 6% of population had vitamin D3 concentrations below 10ng/ml. Among total population, the mean vitamin D3 level was 21.21 ng/ml. In 100% of the urban study population (N=25), vitamin D3 concentrations were below 30ng/ml. 8% of urban study population vitamin D3 concentrations were below 10ng/ml which is attributed to a deficient status. Among urban population, the mean vitamin D3 level was 18.48ng/ml.In 68 % of the rural population (N=25), vitamin D3 concentrations were below 30ng/ml and 8% of rural study population had vitamin D3 concentrations below 10ng/ml. Among total rural population, the mean vitamin D3 level was 23ng /ml. This shows that in rural population vitamin D3 level was higher as compared to urban population. Conclusion: A high prevalence of vitamin D deficiency was observed in early pregnancy in urban population which was related to education, occupation, diet, dressing habit, parity, use of multi-vitamins and season at sampling. However the study is limited considering only prevalence of vitamin D deficiency and a longer and detailed follow up is required to assess the effect on maternal and neonatal outcome. Clinical Relevance: This shows significant deficiency of vitamin D3 in pregnancy, especially in urban women. The women should receive nutritional and general pregnancy counselling and more attention should be given for vitamin D supplementation.
EFFECTIVENESS OF MOBILE LEARNING TECHNOLOGY ON COLLABORATIVE SKILLS OF IX STANDARD STUDENTS

: The study sought to investigate the effectiveness of mobile learning technology on Students’ Collaborative Skills. The IX standard students from a private school of Bengaluru Metro City considered as population. A sample of IX standard students has been utilized as subjects to teach biological concepts by using traditional method of teaching as well as Mobile Learning Technology as a method of teaching. Randomized matching Control group Pre-test Post-Test group design was used. Totally 56 subjects were selected and they are divided into two groups, namely experimental (Teaching with Mobile Learning Technology) and controlled (traditional method of teaching) groups to give treatment after administering pre test to them. Simple random sampling technique was used for the study. Collaborative Skills Scale (CSS) was a 48 item scale in six dimensions that has been developed to measure the students’ collaborative skills. Items were rated on a Likert-type scale ranging from 1 (strongly disagree) to 5 (strongly agree). The reliability was assessed through Cronbach’s alpha and it was found reliable. The obtained data was analyzed descriptively and inferentially by calculating by independent ‘t’ test. The results concluded that teaching with mobile learning was more effective than conventional method of teaching in developing collaborative skills of IX standard students. Teachers and parents can offer new opportunities for children to collaborate inside and beyond the traditional instructor-oriented educational paradigm for development of collaborative skills
Experimental studies on rectangular jets with trapezoidal tabs

Abstract An experimental investigation was carried out to study the flow development of a jet issuing from a 2:1 rectangular nozzle with mixing tabs using two-component hotwire anemometry. A pair of tabs of trapezoidal configuration (with 2% total blockage area) is placed on the minor-axis side of the rectangular nozzle and tested for two tab inclination angles of 135° and 45°, with respect to the flow direction. Tests were conducted for a nominal jet exit velocity of 20m/sec corresponding to a Reynolds number based on nozzle equivalent diameter of 5·013 × 104. Relative to the plain jet, the jet with tabs show significant reduction in jet-core length (by 67%) followed by a faster decay in jet centreline velocity (U/Ue ). This is also accompanied by a significant upstream shift in peak centreline turbulence intensity (u’/Ue ). The presence of tabs is observed to inhibit the jet growth along the minor-axis plane thereby introducing large distortion in the jet cross-sectional development that ultimately leads to jet-core bifurcation along its major-axis. While a mushroom-like flow structure develops behind the tab with 135° inclination, the flow structure behind a 45° inclined tab rather takes the shape of the tab itself. The former flow development is seen to enhance the jet growth more along the minor-axis while the latter improves the jet growth more along the major-axis plane. From application point of view, since both tab inclinations result in more or less similar jet characteristics, a 135° inclined tab would be preferable over a 45° inclined tab from the view of improved jet mixing.
Surface Properties of Plasma-Activated Chitosan Foils

Thin films of chitosan are often deposited on various surfaces to provide them with antiseptic properties. In the presented research, chitosan foils were obtained using two methods and treated with nitrogen plasma. The obtained materials were characterized by measuring the wettability of the test liquids, and the apparent surface free energy was calculated using the Tadmor equilibrium contact angles. The surface topography was characterized using optical profilometry and SEM. On the other hand, the effect of plasma on surface groups was investigated using the FTIR-ATR technique. Plasma activation of the surface increases the polarity of the surface. This is observed in the changed surface roughness and the share of functional groups on the surface.
Antisocial Personality Disorder; Anger; Childhood Behavioral Problems; the State-Trait Anger Scale ORGINAL ÖZGÜN MAKALE

We aimed to evaluate the relation between the crimes committed, and the childhood behavioral problems, current clinical characteristics and anger levels of patients with antisocial personality disorder (ASPD). One hundred and fifty-three patients with ASPD were enrolled. The diagnosis was made according to the Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV criteria. DSM-IV conduct disorder criteria and life history inventory was used to assess childhood characteristics. The State-Trait Anger Scale (STAS) was used to assess experience, expression, and control of anger. The main differences between crime groups were as follows: A head trauma history was more frequent in ASPD patients who had a crime history of physical assault. Loss of a parent in childhood was more frequent in individuals who committed burglary. Divorce or separation of the parents in childhood was more frequent in those who committed murder. The usage of weapons in fight during childhood was significantly higher in those who committed murder and aggravated assault. According to STAS scores, the anger control scores were significantly lower in those who committed murder. Childhood and behavioral characteristics of ASPD patients is not homogenous. There is a need for further studies to demonstrate these differences and make a new classification for ASPD. (Journal of Cognitive Behavioral Psychotherapy and Research 2016; 13-21)
The Validity of the Energy Expenditure Criteria Based on Open Source Code through two Inertial Sensors

Through this study, we developed and validated a system for energy expenditure calculation, which only requires low-cost inertial sensors and open source R software. Five healthy subjects ran at ten different speeds while their kinematic variables were recorded on the thigh and wrist. Two ActiGraph wireless inertial sensors and a low-cost Bluetooth-based inertial sensor (Lis2DH12), assembled by SensorID, were used. Ten energy expenditure equations were automatically calculated in a developed open source R software (our own creation). A correlation analysis was used to compare the results of the energy expenditure equations. A high interclass correlation coefficient of estimated energy expenditure on the thigh and wrist was observed with an Actigraph and Sensor ID accelerometer; the corrected Freedson equation showed the highest values, and the Santos-Lozano vector magnitude equation and Sasaki equation demonstrated the lowest one. Energy expenditure was compared between the wrist and thigh and showed low correlation values. Despite the positive results obtained, it was necessary to design specific equations for the estimation of energy expenditure measured with inertial sensors on the thigh. The use of the same formula equation in two different placements did not report a positive interclass correlation coefficient.
Sampling Strategy for the Genetic Analysis of Human Remains from Tepe Hissar

Genetic testing has become a critical tool for the examination of ancient human remains. Earlier methods relied exclusively on observations and measurements. DNA analysis can date skeletal remains using radiocarbon dating, identify the sex of the individual, and determine the mtDNA and Y-chromosome haplogroups. Mitochondrial DNA and Y-chromosome haplogroups can be further used to understand kinship, burial practices, and other information about the civilization. For this study, I created a sampling strategy for the genetic analysis of a collection of 397 skeletons excavated during the 1930’s from an Iranian Bronze Age site called Tepe Hissar. DNA analysis can be cost prohibitive and requires samples be extracted and destroyed. A successful sampling strategy mitigates these costs, balancing efficiency and effectiveness to create the smallest sample that remains representative for the entire population. Overall, preservation, location within the site and layers, and their status as an outlier should be considered as major determinants for the representative sample. Preservation is the most important factor followed closely by the status of skeletons as outliers in their respective research studies and the skeletons’ relative geographic location. Although I ranked these factors, all three will be taken into account when determining the final representative sample.
THE ANALYSIS OF CHANGE REGION IN BUSINESS PROCESS BASED ON THE DEGREE OF BEHAVIOR SIMILARITY

In the business process modeling, it is an important task to ﬁnd the behavior similarity of the process models. The existing methods to search for similarity are mainly from the behavior relations or semantic equivalence of the adjacent transitions and never considering it from the angle of non-adjacent transitions. In order to study the similarity degree of two business process models, the degree of behavior similarity is proposed on the basis of existing theory. In view of behavioral proﬁles and simulated behavioral proﬁles, the transitions which have direct behavior relationship and indirect behavior relationship are considered. According to a certain algorithm, the degree of behavior similarity of two business process models is calculated. Then the theories about the change region of the target model are found. Finally, the eﬀectiveness of this method is veriﬁed through speciﬁc procurement process instance.
Two Times In-stent Restenosis in a Diabetic Female Patient Treated using a Paclitaxel Eluting Balloon

Instent restenosis (ISR) remains a significant clinical problem especially in patients with multiple risk factors . With the introduction of drug-eluting stents (DESs), there has been a considerable reduction in the in-stent restenosis rates and target lesion revascularization. Nevertheless patients with multiple risk factors continue to show increased rates of restenosis and late lumen loss. We report a case of a 58 year-old woman who presented with an in-stent restenosis and benefited from a successful PCI using a Drug coated
Fast Orbital-Free Full-Potential Calculations for Large Nano Objects: C, Al and Ti

In the context of a full-potential orbital-free approach for the modeling of multi-atomic systems we investigated the dependence of the cohesive energies and bulk elastic modules of the large nanosystems Cn (n is up to 4096 atoms), Aln (n is up to 23,328 atoms) and tin (n is up to 2160 atoms). It was shown that the cohesive energies and elastic modules tend towards bulk crystal values at n ≈ 3000 for Cn systems, at n ≈ 1500 for Tin and at n ≈ 20,000 for Aln. The execution time for one energy iteration for Ti23328 was only 23 min.