Miracle-dz/UniFAR-FTUs huggingface dataset:
Current Trends in Analytical and Bioanlaytical Chemistry

The copper mining generates high amounts of residues. Thus, these residues and mining sites need to be treated correctly to avoid environmental risks. The identification of intracellular proteins provides remarkable information on microbial physiology that may contribute to the understanding of bioremediation (copper) by microorganisms. Thus, the aim of this study was to evaluate the effect (bactericide and bacteriostatic) of copper on Pseudomonas aeruginosa growth (isolated from mining sites) and then identify changes in the microbial proteome under different stress conditions induced by copper. Samples were collected (after 32 h of fermentation), centrifuged, washed and digested by trypsin. The peptides were analyzed using nano LC-ESI-Q-TOF (PepMap-15 cm × 75 µm column under gradient mode from 2 to 98% (v/v) of acetonitrile 0.1% formic acid for 180 minutes). MS precursors and MS/MS products were acquired over a 50-3000 m/z range. The data were processed via Protein Scape and classified according to the Panther system. The minimum inhibitory concentration (copper) was between 4-4.5 mM, in which bacteriostatic effects between 4.5-6.5 mM and bactericidal above 7 mM were observed. Nano LC-ESI-Q-TOF system; Protein Scape (Bruker-Daltonics) and Panther classification system composed one the best tools for proteomic analysis (bioanalytical chemistry). The concentration of 3 mM of copper was chosen based on obtained MIC data. The number of protein classes expressed by Pseudomonas aeruginosa was inversely proportional to the concentration of copper: 13 and 7 protein classes to 0 and 3 mM of copper, respectively demonstrating the metabolic stress. These results are aligned to MIC and MBC data. In this sense, proteins related to energy metabolism-TCA cycle and Pyruvate-were (bio)synthesized in both experiments, which proved the cell viability (indispensable for bioremediation).
EUROPEAN ACADEMIC RESEARCH, VOL

The purpose of this study is to determine the relationship of defensive mechanism and identity styles in patients suffering gender identity disorder (GID). Method: for this purpose 100 individuals were selected through convenience sampling among patients suffering GID in the district health centers located in Sanandaj, Tabriz, Kermanshah and Tehran. They completed two questionnaires including defensive mechanism (DSQ-40), identity styles (isi-6G). The present study was of descriptive research and research design was correlated. The data was analyzed through SPSS software using Pierson correlation test, multivariate regression and radical correlation coefficient. Results: This study revealed a positive relationship between mature defensive mechanism and commitment, normative and 1 Corresponding author: behrooz_faridmarandi@yahoo.com Behrouz Faridmarandi, Samira Safdari, Mohamadreza Zarbakhsh, Mohamadebrahim MadahiRelationship Between Defense Mechanisms and Identity Styles in Patients with Gender Identity Disorder (GID) EUROPEAN ACADEMIC RESEARCH Vol. I, Issue 11 / February 2014 4137 informational identity styles, while there is negative correlation between immature defensive mechanism, informational and normative identity styles. It also shows a positive correlation between immature defensive mechanisms and confused-avoidant identity style and a positive correlation between neurotic defense mechanism and confusedavoidant identity style. In spite of this, there is no significant relationship among other variables. Conclusion: Due to results, predictor variable of mature defenses include meaningful coefficients for direct predication of informational, commitment and normative identity. Immature defenses contain meaningful coefficients to predict avoidant, informational and normative identity. In addition, predictor variables of immature defenses have meaningful coefficients for inverse prediction, normative and informational identities.
APE: An Acting and Planning Engine

A significant problem for integrating acting and planning is how to maintain consistency between the planner’s descriptive action models, which abstractly describe what the actions do, and the actor’s operational models, which tell how to perform the actions with rich control structures for closed-loop online decision-making. Operational models allow for dealing with a variety of contexts and for responding to unexpected outcomes and events in a dynamically changing environment. To circumvent the consistency problem, we use the actor’s operational models both for acting and for planning. Our acting-and-planning algorithm, APE, uses hierarchical operational models inspired from those in the well-known PRS system. But unlike the reactive PRS algorithm, APE chooses its course of action using a planner that does Monte Carlo sampling over simulated executions. Our experiments with this approach show substantial benefits in the success rates of the acting system, in particular for domains with dead ends.
Expression Analysis of C4 Photosynthetic Pathway Related Genes in Seven Rice Genotypes During Grain Filling Stage

Expression Analysis of C4 Photosynthetic Pathway Related Genes in Seven Rice Genotypes During Grain Filling Stage S K MUTHUSAMY1, S K SINGH2, I SINGH2, A K SINGH3, V CHINNUSAMY4 and K C BANSAL1,5* 1National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110 012, India 2Directorate of Maize Research, New Delhi 110 012, India 3Division of Genetics, Indian Agricultural Research Institute, New Delhi 110 012, India 4Division of Plant Physiology, Indian Agricultural Research Institute, New Delhi 110 012, India 5National Bureau of Plant Genetic Resources, New Delhi 110012, India
Toward Genuine Robot Teammates: Improving Human-Robot Team Performance Using Robot Shared Mental Models

Effective coordination is a critical requirement for human team-ing, and is increasingly needed in teams of humans and robots. Building on decades of work in the behavioral literature, we have implemented a computational framework for coordination based on Shared Mental Models (SMMs) in which robots use a distributed knowledge base to coordinate activity. We also built a novel system connecting the robotic architecture, DIARC, to the 3D simulation environment, Unity, to serve as an evaluation platform for the framework implementation, and also for more general explorations of teaming with autonomous robots. Using this platform, we ran a user study to evaluate the framework by comparing performance of teams in which the robots used SMMs with those that did not. We found that teams in which the robots used SMMs significantly outperformed those without SMMs. This represents the first empirical demonstration that SMMs can be successfully used by fully autonomous robots interacting in natural language to improve team performance, bringing robots a step closer to genuine teammates.
Adaptive Observer-Based Output Feedback Control for Two-Wheeled Self-Balancing Robot

In this paper, an output feedback control approach based on an adaptive observer is developed for the two-wheeled self-balancing robot subject to unknown parameters (with nonlinear parameterization). Firstly, a high gain control method with state feedback is proposed. Then, an adaptive observer is designed to estimate the unknown state and the unknown body mass of the robot which influences the height of the center of mass. Next, the adaptive observer is combined with the designed high gain controller: a Lyapunov-based stability analysis of the closed loop system is developed to establish the convergence of the tracking error as well as estimation and adaptation errors. Simulation results assert the performance of the developed tracking control scheme for the two-wheeled self-balancing robot subject to mass variation.
Interview of Frank Mittelbach A combined interview of the L A TEX Project director

F ree Software Magazine and the TEX Users Group (TUG (http://www.tug.org/ )) both like to publish interviews. Recently, Gianluca Pignalberi ofFree Software Magazineand Dave Walden of TUG both approached Frank Mittelbach about interviewing him. Rather than doing two separate interviews, Mittelbach, Pignalberi, and Walden decided on a combined interview in keeping with the mutual interests already shared by Free Software Magazine and TUG.
NEWEST VERTEX BISECTION OVER GENERAL TRIANGULATIONS

We give an accessible exposition and analysis to algorithmic mesh reﬁnement via newest vertex bisection for triangular meshes. We prove a purely combinatorial amortized complexity estimate whose constant depends only on the mesh topology but not on geometric quantities. Furthermore, we extend newest vertex bisection to two-dimensional triangulations of arbitrary topology. This includes but is not restricted to triangulations of two-dimensional embedded manifolds.
GEOLOGICALLY RECENT LANDSLIDES ON MARS

Introduction: There is a wide morphological diversity of landslides on Mars [1–3]. These landslides can mobilize from 10 to 10 m of material [4]. Landslides formed during the Amazonian (3.1 Gyr to present) are generally interpreted as forming without liquid water [e.g., 5,6]. This study focuses on four landslides not exceeding an estimated volume of 10 m, located in Nili Fossae region at 27°N latitude, 76°W longitude. We made morphological and rheological comparisons between these martian landslides and terrestrial analogues. We have identified notable rheological similarities between our martian landslides and terrestrial earthflows, which require liquid water to move. We then assess the potential role of volatiles in the formation of these landslides on Mars. Approach: To conduct the morphological analysis of the martian landslides, we used ConTeXt imager (CTX) at 6m/pix, Colour and Stereo Surface Imaging System (CaSSIS) images with a resolution of 5 m/pix and High Resolution Imaging Science Experiment (HiRISE) images with a resolution of 25-50 cm/pix. We used Digital Elevation Model (DEM) at 2m/pix from HiRISE stereo images produced using the Ames Stereo Pipeline [7] and SocetSet [8] to measure the slopes and topography (figure 1). To conduct the rheological comparison, we searched for terrestrial analogues with similar morphological features, and we find that the studied martian landslides are most similar to terrestrial mudflows, submarine landslides, earthflows, rock glaciers and andesite lava flows. We then compared the yield strength values of these different flow types in the literature with those obtained for our four landslides. By assuming a Bingham rheology, we calculated the yield strength (Y) of the materials making up the martian landslides using the morphology of the deposit [9–12]. We used the following two relations:
Geoengineering and Climate Change: Implications for Africa

In 2015, the Paris Agreement (PA) set a goal to keep global average temperature rise well below 2oC by the end of the century. The Agreement did not establish binding regulations to ensure the reduction of greenhouse gas (GHG) emissions. So, to avoid mitigation at the scale needed to comply with the PA goal, some governments in high emitting countries are considering geoengineering as a technological fix to lower temperatures or remove greenhouse gases from the atmosphere.
Journal für Neurologie, Neurochirurgie und Psychiatrie, Nummer 4/2019

Vitamin D and Parkinson – Guilt by Association? There is probably no illness that has not shown an association with low vitamin D levels. So, it is not a surprise that we find countless hits in PubMed regarding vitamin D and various neurologic diseases. Numerous authors have shown a correlation between low vitamin D levels and „Parkinson“. This does in no way prove causality (contrary to what some authors imply). These results just corroborate the fact that people with Parkinson’s disease have impaired mobility and as a consequence spend less time outdoors – a plausible explanation for low vitamin D levels. Randomized and placebo-controlled intervention trials with vitamin D supplementation are sparse, and have shown only negative results, i.e. vitamin D does not affect symptoms or disease progression. But, we have preliminary indications that „sunlight“ might protect against „Parkinson“. Is this a mechanism independent of vitamin D? Is vitamin D hype or hope? We will have to wait for further studies. J Neurol Neurochir Psychiatr 2019; 20 (4): 129–33.
The Volatility Measure Significance in Stock Valuation

Our central interest in this paper is to present the significance of volatility in a stock price valuation with a real case data and its prediction from ‘financial theory’ and ‘advanced mathematics’, as a general assumption that while modelling of the stock return are ‘normally’ distributed and the volatility is constant, we observed from the time series of stock returns, in reality it is easy to predict that both of these notions are not consistent with the real data. To measure volatility of future prices is very difficult, with advancing stochastic probabilistic models, stable distribution processes the volatility is predictable and simulated the data to verify the model behaviour in this paper. The final motto is when an investor aware how much volatility he is exposed to, so that he is wise enough to make decisions on his portfolio of investments.
MONEY DEMAND FUNCTION IN THE SOUTH AFRICAN ECONOMY: EVIDENCE FROM ARDL AND STRUCTURAL BREAKS ANALYSIS

Stability of money demand remains an important issue in monetary policy effectiveness. This is because a stable money demand function is an important monetary policy tool in achieving monetary objectives and stability. This paper investigated structural breaks in money demand and its determinants in the South African economy. The study made use of quarterly data obtained from the South African Reserve Bank, from 2003 to 2017, using the Bai-Perron Multiple Breakpoint Tests in conjunction with an ARDL model. The empirical results indicated that the money demand function in South Africa has not undergone regime shifts during the study period. This was further confirmed by means the CUSUM Test. The findings also ascertained that money demand is cointegrated with the interest rate, inflation rate, GDP, the exchange rate and credit to the private sector as a measure of financial development. The results proved that the interest rate and inflation rate have negative and significant effects on the money demand function in the long-run, while GDP is found to have a positive and significant impact. It is concluded that the money demand function in South Africa could be effectively employed in predicting and forecasting monetary policy outcomes.
Liquidity Management by Islamic Banks: An Issue or a Contrivance for Risk-Free Returns

Islamic banking and finance that can provide a framework for achieving the objective of sustainable socio-economic growth witnessed a rapid growth over the last two decades. Islamic finance industry spread over 110 countries, and 50 million customers grew from US$200 billion in 2003 to an estimated US$2 trillion of assets worldwide last year and are expected to surpass $3 trillion by 2020. Out of the total assets, the Islamic banks had US$1.451 trillion by the end of 2015 (T/R 2016/17). Responding to the failure of capitalist and socialist systems, Islamic Banking and Finance (IBF) was initiated with the hope of providing a financial base through which economic development could be achieved with human well-being and social justice (Asutay, 2007). Hence, the Islamic Banks and Financial Institutions (IBFIs) belong to the entities whose social goals are at least (if not more) as important as making a profit (Haniffa & Hudaib, 2007). Islamic finance promotes risk-sharing, connects the financial sector with the real economy, and emphasizes financial inclusion and social welfare. Even the 2030 agenda of the World Bank for sustainable development that seeks to eradicate poverty in all its forms emphasized Islamic finance to promote responsible and risk sharing-based finance. It is the recognition of the core principles of Islamic finance providing mechanisms for redistribution to address any imbalances that may occur during wealth production and distribution cycle (Soliman, 2017). Islamic finance, however, is losing its meaning and rationale, contends Mabid Al Jarhi, former Head of IRTI, IDB, Jeddah and currently Professor at the INCEIF. It has crossed the threshold of convergence to conventional finance, and Sharı̄‘ah compliance is increasingly becoming a misnomer as conventional finance is being practiced boldly in the name
Thromboprohylaxis& DVT in Surgical Practice: Role of Caprini Score

Background: Deep Vein Thrombosis (DVT) is a major source of morbidity and mortality among patients undergoing prolonged surgery. Most of post-operative DVT can be prevented by simple preoperative thromboprophylaxis after assessing the risk of patient. Caprini risk scoring is a simple preoperative risk assessment tool for predicting DVT in surgical patients. This study was undertaken to assess prediction of DVT in postoperative patient using Caprini score and effect of thromboprophylaxis in preventing postoperative DVT in high risk individuals. Materials and methods: A total of 150 patients admitted in various surgical specialties undergoing prolonged surgical procedures of more than two hours were included in the study. All patients were assessed using Caprini scoring and comparison between patients given preoperative thromboprophylaxis and those who did not receive prophylaxis has been done. Result: 21 out of 26 patients who developed DVT were in the age group 40-80 years. 92 patients (61.3%) had co morbidities, the most common being diabetes mellitus in 55 (36.7%) and coronary artery disease (CAD) had a significant correlation with DVT. Malignancies (17.3%) and PIVD (14%) were the most commonly encountered diagnosis. Swelling and pain in the lower limbs were the only symptoms in 61.5% of DVT patients. 12 patients (46%) had both breathlessness and swelling of legs which showed significant correlation to DVT (p<0.001). Thromboprophylaxis was significantly beneficial in preventing DVT post operatively in patients, with a significant p value of 0.006. Patients with Caprini score of more than 8 (mean 8.8) had high prelidiction to develop DVT than patients with score of less than 6 (mean 6.8). Thromboprophylaxis given to patients with Caprini score of more than 8 had a higher chance of preventing post op DVT. Caprini score of more than 5.5 has a sensitivity of 94.9% and specificity of 47.3% in predicting DVT. Conclusion: Patients having a Caprini score of more than 8 have a high risk of development of post-operative DVT. Preoperative thromboprophylaxis in high risk patients has shown to reduce incidence of DVT.
Extracting Urban Areas on Simulated Proba-V Data Using ANFIS

Urban sprawl is gaining interest because its intensity has been strong during the recent years as well as because it greatly affects natural ecosystems. This paper is focusing on developing a method to monitor urban sprawl using medium resolution optical data. The image source is simulated Proba-V data at a spatial resolution of 300 meters. Proba-V is designed as a continuity mission to the SPOT VEGETATION series, to be launched on 2012. The simulation involves a change in spatial as well as in radiometric resolution and will be based on MODIS data. Overall, the objective is to investigate whether it is possible to monitor urban sprawl using medium resolution data and an automated method (supervised classification) instead of having to rely upon CORINE that requires considerable more effort as it is a product of manual photo interpretation.
Understanding the Dynamics of Core Inflation of newly created Consumer Price Indices of India

The study examines the relationship between headline and core inflation for the Consumer Price Index (CPI) and evaluates the suitability of the measures of core inflation. By using exclusion based measure two core measures have been constructed for newly created CPIs: CPI (Rural): CPI Rural excluding Food Index, CPI Rural excluding Food and Fuel Index; CPI (Urban): CPI Urban excluding Food Index ,CPI Urban excluding Food and Fuel Index; CPI (Combined): CPI Combined excluding Food Index ,CPI Combined excluding Food and Fuel Index. Test of Predictability , Test of Volatility and Test of Causality have been performed to find the suitable core measure. The CPI-Urban Excluding Food and Fuel has been found as the best core measure because (a)For all the three time periods (1, 2, and 3 months) the headline CPI-Urban reverted back to the core measure CPI-Urban Excluding Food and Fuel; (b)It has been found to be the least volatile measure; (c) It has unidirectional causality at both lags 1 and 2.
Factors Influencing the Formation and Abundance of X-Ray Amorphous Materials Detected in Gale Crater Mudstones and Sandstones

MATERIALS DETECTED IN GALE CRATER MUDSTONES AND SANDSTONES. C. N. Achilles, E. B. Rampe, T. S. J. Gabriel, D. W. Ming, R. V. Morris, B. Sutter, S. J. Chipera, D. F. Blake, T. F. Bristow, R. T. Downs, A. C. McAdam, L. Thompson, D. T. Vaniman, A. S. Yen, NASA GSFC (cherie.n.achilles@nasa.gov), NASA JSC, Arizona State Univ., Jacobs Technology/NASA JSC, Chesapeake Energy, NASA Ames, Univ. of Arizona, Univ. of New Brunswick, , Planetary Science Institute, JPL/Caltech.
Combining Reward Information from Multiple Sources

Given two sources of evidence about a latent variable, one can combine the information from both by multiplying the likelihoods of each piece of evidence. However, when one or both of the observation models are misspecified, the distributions will conflict. We study this problem in the setting with two conflicting reward functions learned from different sources. In such a setting, we would like to retreat to a broader distribution over reward functions, in order to mitigate the effects of misspecification. We assume that an agent will maximize expected reward given this distribution over reward functions, and identify four desiderata for this setting. We propose a novel algorithm, Multitask Inverse Reward Design (MIRD), and compare it to a range of simple baselines. While all methods must trade off between conservatism and informativeness, through a combination of theory and empirical results on a toy environment, we find that MIRD and its variant MIRD-IF strike a good balance between the two.
Sleep Pattern and Academic Achievement: A Comparative Analysis of High and Low Academic Achievers

Sleep is an important activity which plays a vital role in the physiological and psychological health of the individuals. Lack of sleep is associated with different health problems such as hypersensitivity, diabetes, obesity, attention, concentration and memory problems. Majority students do not give importance to their sleep and mostly remain awake for whole night or late night. Present study was designed to explore the relationship of sleep with the academic achievement of students. The sample (n=120) of the study was consist of male and female college students. The age range of the participants was 16-18 years. Information about the sleep pattern of the participants was taken through a self-report sleep pattern inventory and their academic achievement was determined from their mark sheets. On the basis of the earned grades they were divided into two groups’ i.e. high academic achievers and low academic achievers and their scores on the sleep pattern inventory were analyzed. Measure of mean differences or t-tests were used to compare the sleep pattern of the high and low academic achievers. Results have shown significant differences in the sleep pattern of the high and low academic achiever participants. High achievers were found to have more adequate sleep pattern (sleep of 6-8 hours per night) as compared to low academic achievers who had sleep duration of less than 4 hours. Findings of the present study indicated that awareness must be given to students for maintaining an adequate sleep pattern through organized study schedule for better achievement.