Automatic outlier detection in automated water quality measurement stations

Des stations de mesure de la qualité de l’eau sont utilisées pour mesurer la qualité de l'eau à haute fréquence. Pour une gestion efficace de ces mesures, la qualité des données doit être vérifiée. Dans une méthode univariée précédemment développée, des points aberrants et des fautes étaient détectés dans les données mesurées par ces stations en employant des modèles à lissage exponentiel pour prédire les données au moment suivant avec l’intervalle de confiance. Dans la présente étude, ne considérant que le cas univarié, la détection de points aberrants est améliorée par l’identification d’un modèle autorégressif à moyenne mobile sur une fenêtre mobile de données pour prédire la donnée au moment suivant. Les données de turbidité mesurées à l'entrée d'une station d'épuration municipale au Danemark sont utilisées comme étude de cas pour comparer la performance de l’utilisation des deux modèles. Les résultats montrent que le nouveau modèle permet de prédire la donnée au moment suivant avec plus de précision. De plus, l’inclusion du nouveau modèle dans la méthode univariée présente une performance satisfaisante pour la détection de points aberrants et des fautes dans les données de l'étude de cas.Water quality monitoring stations are used to measure water quality at high frequency. For effective data management, the quality of the data must be evaluated. In a previously developed univariate method both outliers and faults were detected in the data measured by these stations by using exponential smoothing models that give one-step ahead forecasts and their confidence intervals. In the present study, the outlier detection step of the univariate method is improved by identifying an auto-regressive moving average model for a moving window of data and forecasting one-step ahead. The turbidity data measured at the inlet of a municipal treatment plant in Denmark is used as case study to compare the performance of the use of the two models. The results show that the forecasts made by the new model are more accurate. Also, inclusion of the new forecasting model in the univariate method shows satisfactory performance for detecting outliers and faults in the case study data

The Isaac Newton Telescope monitoring survey of Local Group dwarf galaxies--V. The star formation history of Sagittarius dwarf irregular galaxy derived from long period variable stars

We conducted an optical monitoring survey of the Sagittarius dwarf irregular galaxy (SagDIG) during the period of June 2016 -- October 2017, using the 2.5-m Isaac Newton Telescope (INT) at La Palama. Our goal was to identify Long Period Variable stars (LPVs), namely asymptotic giant branch stars (AGBs) and red supergiant stars (RSGs), to obtain the Star Formation History (SFH) of isolated, metal-poor SagDIG. For our purpose, we used a method that relies on evaluating the relation between luminosity and the birth mass of these most evolved stars. We found $27$ LPV candidates within two half-light radii of SagDIG. $10$ LPV candidates were in common with previous studies, including one very dusty AGB (x-AGB). By adopting the metallicity $Z = 0.0002$ for older population and $Z=0.0004$ for younger ages, we estimated that the star formation rate changes from $0.0005\pm0.0002$ M$_{\odot}$yr$^{-1}$kpc$^{-2}$ ($13$ Gyr ago) to $0.0021 \pm 0.0010$ M$_{\odot}$yr$^{-1}$kpc$^{-2}$ ($0.06$ Gyr ago). Like many dwarf irregular galaxies, SagDIG has had continuous star formation activity across its lifetime, though with different rates, and experiences an enhancement of star formation since $z \simeq 1$. We also evaluated the total stellar mass within two half-light radii of SagDIG for three choices of metallicities. For metallicity $Z = 0.0002$ and $Z=0.0004$ we estimated the stellar mass M$_*$ = ($5.4 \pm 2.3$) $\times$ $10^ 6$ and ($3.0 \pm 1.3$) $\times$ $10^ 6$ M$_{\odot}$, respectively. Additionally, we determined a distance modulus $\mu$ = $25.27\pm0.05$ mag, using the tip of the red giant branch (TRGB).Comment: 16 pages, Accepted for publication in Ap

The Isaac Newton Telescope Monitoring Survey of Local Group Dwarf Galaxies. VI. The Star Formation History and Dust Production in Andromeda IX

We present a photometric study of the resolved stellar populations in Andromeda IX (And IX), the closest satellite to M31, a metal-poor and low-mass dwarf spheroidal galaxy. We estimate a distance modulus of $24.56^{+0.05}_{-0.15}$ mag based on the tip of the red giant branch. By probing the variability of asymptotic giant branch stars, we study the star formation history of And IX. We identified 50 long-period variables (LPVs) in And IX using the Isaac Newton Telescope in two filters, the Sloan $i'$ and Harris $V$. In this study, we selected LPVs within two half-light radii with amplitudes in the range of 0.2–2.20 mag. It is found that the peak of star formation reaches ${\sim}8.2 {\pm} 3.1 {\times} 10{^-4}M_{\odot} yr^{-1}$ at ≈6 Gyr ago. Our findings suggest an outside-in galaxy formation scenario for And IX with a quenching occurring $3.65^{+1.52}_{-0.13}$ Gyr ago with a star formation rate (SFR) in the order of $2.0 {\times} 10^{-4}M_{\odot} yr^{-1}$ at redshift <0.5. We calculate the total stellar mass by integrating the SFR within two half-light radii ${\sim}3.0 {\times} 10^{5}M_{\odot}$. By employing spectral energy distribution fitting for the observed LPVs in And IX, we evaluate a mass-loss rate in the range of $10^{-7} ≤ M ≤ 10^{-5} M_{\odot} yr^{-1}$. Finally, we show that the total mass deposition to the interstellar medium (ISM) is ${\sim}2.4 {\times} 10^{-4} M_{\odot} yr^{-1}$ from the C- and O-rich types of dust-enshrouded LPVs. The ratio of the total mass returned to the ISM by LPVs to the total stellar mass is ${\sim}8.0 {\times} 10^{-10} yr^{-1}$, and so at this rate it would take ∼1 Gyr to reproduce this galaxy

Optimal Oil Production Path in the Production Sharing Contract and Compare it with the Contractor's Production Specified in the Buy Back contract

The choice of contract type in oil fields has always been one of the main and problematic challenges in Iran and elying in making decisions in this regard leads to a dely or non-investment. On the other hand, one of the ways to recognize the components of bargaining power is to recognize and evaluate various types of international contracts. Therefore, in thiss study, while introducing the fiscal model of the contractual agreement concluded in Iran, as well as a combination of contracts for participation in traditional production in Azerbaijan with Joint venture, has been applied to financial simulation in Duroud oil field. After explaining the optimization problem using the generalized reduction gradient method, the optimal production path from the perspective of the parties to the contract is estimated andcompared with the production path specified in the buy back contract. The results show that the use of share-based indicators of project revenues and the net present value of a project for evaluate of oil contracts can be misleading. The oil production path agreed in the Buy back contract is higher than the optimal production path from the perspective of both sides of the combined contract. Tthis is due to the desire of the International Oil Company to rapidly capture capex and remuneration fee in the shortest possible time. Increase in recoverable reserves due to gas injection (presented in MDP), which was approved in buy back contract is less than its optimal amount from the viewpoint of Joint venture in a hybrid contract. This indicates that the proposed hybrid contract is closer to the Maximum Effective Rate and Maximum Final Recovery from Oilfields than the conventional buy back agreement in Iran

Preparation of nanoliposomes containing HER2/neu (P5+435) peptide and evaluation of their immune responses and anti-tumoral effects as a prophylactic vaccine against breast cancer.

HER2/neu is an immunogenic protein inducing both humoral and cell-mediated immune responses. The antigen-specific cytotoxic T lymphocytes (CTLs) are the main effector immune cells in the anti-tumor immunity. To induce an effective CTL specific response against P5+435 single peptide derived from rat HER2/neu oncogene, we used a liposome delivery vehicle. In vivo enhancement of liposome stability and intracytoplasmic delivery of peptides are the main strategies which elevate the liposome-mediated drug delivery. Liposomes containing high transition temperature phospholipids, such as DSPC, are stable with prolonged in vivo circulation and more accessibility to the immune system. Incorporation of DOPE phospholipid results in the effective delivery of peptide into the cytoplasm via the endocytotic pathway. To this end, the P5+435 peptide was linked to Maleimide-PEG2000-DSPE and coupled on the surface of nanoliposomes containing DSPC: DSPG: Cholesterol with/without DOPE. We observed that mice vaccinated with Lip-DOPE-P5+435 formulation had the highest number of IFN-γ- producing CTLs with the highest cytotoxic activity that consequently led to significantly smallest tumor size and prolonged survival rate in the TUBO mice model. In conclusion, our study indicated that the liposomal form of P5+435 peptide containing DOPE can be regarded as a promising prophylactic anti-cancer vaccine to generate potent antigen-specific immunity

Anxiety, Depression, and Their Related Factors in Patients Admitted to Intensive Care Units

Background: Anxiety and depression are among the most common psychological symptoms in patients with life-threatening illnesses, and have a close relationship with hospitalization in specialized care units. Objectives: This study aimed at evaluating anxiety and depression and their related factors in patients admitted to Intensive Care Units (ICUs). Materials & Methods: This is an analytical cross-sectional study conducted on 135 patients hospitalized in ICUs (neuro ICU and general ICU) of Poursina Medical Education Center in Rasht City, Iran. The patients were selected by convenience sampling method. The study data were collected using a checklist surveying demographic, clinical and psychosocial characteristics of the patients, and Hospital Anxiety and Depression Scale (HADS). Then, the obtained data were analyzed by Mann-Whitney U and Kruskal-Wallis tests in SPSS V. 18. Results: The Mean±SD anxiety and depression scores of the study patients were 6.12±9.3 and 7.10±2.3, respectively. There was a significant relationship between short-term hospitalization and anxiety (P=0.03), and a high score of depression was observed in those with middle-school education (P=0.03) and non-invasive ventilation (P=0.01). Moreover, administration of sedatives (P=0.001) and tracheostomy ventilation (P=0.04), showed a significant correlation with depression. Conclusion: Anxiety and depression (symptoms of mood disorders) among ICU patients were relatively high and the duration of hospitalization was significantly associated with anxiety. Moreover, the administration of sedative drugs had significant correlation with depression. In addition, the type of received mechanical ventilation was associated with both disorders. Routine screening of anxiety and depression by nurses in ICUs is useful for early treatment, and can prevent long-term complications of these disorders