Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 36
items per page: 25 50 75
Sort by:
Download PDF Download RIS Download Bibtex

Abstract

The article is dedicated to the problems of the functioning of people with disabilities in the Polish penitentiary system. It present theoretical considerations, regarding the nature of imprisonment, adaptation problems, types of adaptation strategies, therapeutic system and its limitations, as well as premises for the implementation of own research.

Go to article

Authors and Affiliations

Ilona Fajfer-Kruczek
Download PDF Download RIS Download Bibtex

Abstract

Water is the main source of daily life for everyone and everywhere in the world. Sufficient water distribution depends on the place and design of water tank in certain areas. Water storage tanks are relatively flexible structures and they can tolerate greater settlements than other engineering structures. Deformation of tanks may cause severe damages to tank or even loss of life and injury to people, so monitoring the structural deformation and dynamic response of water tank and its supporting system to the large variety of external loadings has a great importance for maintaining tank safety and economical design of manmade structures. This paper presents an accurate geodetic observations technique to investigate the inclination of an elevated circular water tank and the deformation of its supporting structural system (supporting columns and circular horizontal beams) using reflector-less total station. The studied water tank was designed to deliver water to around 55000 person and has a storage capacity about 750 m3. Due to the studied water tank age, a non-uniform settlement of tank foundation and movement of pumps and electric machines under tank’s body will cause stress and strain for tanks membrane and settlement of sediments. So the studied water tank can tend to experience movement vertically, horizontally or both. Three epochs of observations were done (July 2014, September 2014 and December 2014). The results of the practical measurements, calculations and analysis of the interesting deformation of the studied elevated tanks and its supporting system using least squares theory and computer programs are presented. As a results of monitoring the water storage tank, circular reinforced concrete beams and columns at three monitoring epochs. The body of water storage tank has an inclination to the east direction and the value of inclination is increased with the time.

Go to article

Authors and Affiliations

Zaki Zeidan
Ashraf A.A. Beshr
Sara Sameh
Download PDF Download RIS Download Bibtex

Abstract

Resistance genes in response to root-knot nematode (Meloidogyne javanica) infection suppress one or more of several critical steps in nematode parasitism and their reproduction rate. The reaction of seven commercial tomato genotypes to M. javanica infection was investigated under greenhouse conditions. Current results classified these genotypes as: three resistant (Jampakt, Malika and Nema Guard), one moderately resistant (Fayrouz), and three susceptible (Castle Rock, Super Marmande and Super Strain B). Except Nema Guard, nematode infection significantly reduced plant height, fresh and dry weights of shoots of the other tomato genotypes. Leaf area was significantly reduced for all examined tomato genotypes except Malika and Nema Guard. Total chlorophyll was reduced in all tested tomato genotypes except Jampakt. Infection parameters of M. javanica and their population were significantly reduced on all nematode-resistant tomato genotypes compared to the susceptible genotypes. Also, the maturation rate of M. javanica was suppressed in the resistant genotypes compared to the susceptible genotypes. These results were confirmed by histological study that illustrated a delay in nematode development and their maturation. Total phenolic content significantly increased in nematode infected roots of both resistant and susceptible genotypes except Malika. Among non-infected roots, Malika showed the highest level of total phenols while after M. javanica infection, Nema Guard revealed the highest level of total phenols. Among infected roots, the highest level of total phenols was recorded in Castle Rock. These results suggested that using nematode-resistant tomato genotypes could provide an efficient and nonpolluting method to control root-knot nematodes.

Go to article

Authors and Affiliations

Mohamed Youssef Banora
Omar Abd Alhakim Almaghrabi
Download PDF Download RIS Download Bibtex

Abstract

Patients with coronary chronic total occlusions have usually anginal symptoms, reversible ischemia on stress testing and viable myocardium subtended by the occluded artery. Notwithstanding the optimal clinical characteristics for revascularization by means of percutaneous coronary intervention, the majority of subjects with chronic total occlusions are treated medically or referred for coronary artery bypass grafting. This review highlights the evolution and latest advancements in percutaneous techniques and technologies for revascularization of CTO.

Go to article

Authors and Affiliations

Maksymilian P. Opolski
Witold Rużyłło
Download PDF Download RIS Download Bibtex

Abstract

Biological treatment in wastewater treatment plants appears to be one of the most crucial factors in water quality management and planning. Though, measuring this important factor is challenging, and obtaining reliable results requires signifi can`t effort. However, the use of artificial neural network (ANN) modeling can help to more reliably and cost-effectively monitor the pollutant characteristics of wastewater treatment plants and regulate the processing of these pollutants. To create an artificial neural network model, a study of the Samsun Eastern Advanced Biological WWTP was carried out. It provides a laboratory simulation and prediction option for flexible treatment process simulations. The models were created to forecast influent features that would affect effluent quality metrics. For ANN models, the correlation coefficients RTRAINING and RALL are more than 0.8080. The MSE, RMSE, and MAPE were less than 0.8704. The model’s results showed compliance with the permitted wastewater quality standards set forth in the Turkish water pollution control law for the environment where the treated wastewater is discharged. This is a useful tool for plant management to enhance the quality of the treatment while enhancing the facility’s dependability and efficiency.
Go to article

Bibliography

  • Adeogun, A. I., Bhagawati, P. B. & Shivayogimath, C. B. (2021). Pollutants removals and energy consumption in electrochemical cell for pulping processes wastewater treatment: Artificial neural network, response surface methodology and kinetic studies. Journal of Environmental Management, 281(December 2020), 111897. DOI:10.1016/j.jenvman.2020.111897.
  • Agatonovic-Kustrin, S. & Beresford, R. (2000). Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research. Journal of Pharmaceutical and Biomedical Analysis, 22,5,pp. 717–727. DOI:10.1016/S0731-7085(99)00272-1.
  • Alnajjar, H. Y. H. & Üçüncü, O. (2023). Removal efficiency prediction model based on the artificial neural network for pollution prevention in wastewater treatment plants. Arab Gulf Journal of Scientific Research, ahead-of-p(ahead-of-print), DOI:10.1108/AGJSR-07-2022-0129.
  • Bagheri, M., Mirbagheri, S. A., Bagheri, Z. & Kamarkhani, A. M. (2015). Modeling and optimization of activated sludge bulking for a real wastewater treatment plant using hybrid artificial neural networks-genetic algorithm approach. Process Safety and Environmental Protection, 95, pp.12–25. DOI:10.1016/j.psep.2015.02.008.
  • Bekkari, N. & Zeddouri, A. (2019). Using artificial neural network for predicting and controlling the effluent chemical oxygen demand in wastewater treatment plant. Management of Environmental Quality: An International Journal, 30,3, pp. 593–608, DOI:10.1108/MEQ-04-2018-0084.
  • Borgulat, A., Zgórska, A. & Głodniok, M. (2022). Comparison of different municipal sewage sludge products for potential ecotoxicity. Archives of Environmental Protection, 48, 1, pp. 92–99. DOI:10.24425/aep.2022.140548.
  • Chang, N. Bin, Chen, W. C. & Shieh, W. K. (2001). Optimal control of wastewater treatment plants via integrated neural network and genetic algorithms. Civil Engineering and Environmental Systems, 18, 1, pp. 1–17. DOI:10.1080/02630250108970290.
  • Gangi Setti, S. & Rao, R. N. (2014). Artificial neural network approach for prediction of stress-strain curve of near β titanium alloy. Rare Metals, 33, 3, pp. 249–257. DOI:10.1007/s12598-013-0182-2..
  • Golzar, F., Nilsson, D. & Martin, V. (2020). Forecasting wastewater temperature based on artificial neural network (ANN) technique and Monte Carlo sensitivity analysis. Sustainability (Switzerland), 12, 16. DOI:10.3390/SU12166386.
  • Golzar, K., Modarress, H. & Amjad-Iranagh, S. (2016). Evaluation of density, viscosity, surface tension and CO2 solubility for single, binary and ternary aqueous solutions of MDEA, PZ and 12 common ILs by using artificial neural network (ANN) technique. International Journal of Greenhouse Gas Control, 53, pp. 187–197. DOI:10.1016/j.ijggc.2016.08.008.
  • Guo, H., Jeong, K., Lim, J., Jo, J., Kim, Y. M., Park, J. pyo, Kim, J. H. & Cho, K. H. (2015). Prediction of effluent concentration in a wastewater treatment plant using machine learning models. Journal of Environmental Sciences (China), 32, pp. 90–101. DOI:10.1016/j.jes.2015.01.007.
  • Hamada, M., Zaqoot, H. A. & Jreiban, A. A. (2018). Application of artificial neural networks for the prediction of Gaza wastewater treatment plant performance-Gaza strip. Journal of Applied Research in Water and Wastewater, 9, 1, pp. 399–406.
  • Hanbay, D., Turkoglu, I. & Demir, Y. (2008). Prediction of wastewater treatment plant performance based on wavelet packet decomposition and neural networks. Expert Systems with Applications, 34, 2, pp. 1038–1043. DOI:10.1016/j.eswa.2006.10.030.
  • Haykin, S. U. (2009). Neural Networks and Learning Machines. In 3 (Ed.), Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics (Vols. 1–3). Library of Congress Cataloging. DOI:10.1016/B978-0-12-809633-8.20339-7.
  • Hong, Y.-S. T., Rosen, M. R. & Bhamidimarri, R. (2003). Analysis of a municipal wastewater treatment plant using a neural network-based pattern analysis. Water Research, 37, 7, pp. 1608–1618. DOI:10.1016/S0043-1354(02)00494-3.
  • Iratni, A. & Chang, N.-B. (2019). Advances in control technologies for wastewater treatment processes: status, challenges, and perspectives. IEEE/CAA Journal of Automatica Sinica, 6, 2, pp. 337–363, DOI:10.1109/JAS.2019.1911372.
  • Jana, D. K., Bhunia, P., Das Adhikary, S. & Bej, B. (2022). Optimization of Effluents Using Artificial Neural Network and Support Vector Regression in Detergent Industrial Wastewater Treatment. Cleaner Chemical Engineering, 3(June), pp. 100039. DOI:10.1016/j.clce.2022.100039
  • Jawad, J., Hawari, A. H. & Javaid Zaidi, S. (2021). Artificial neural network modeling of wastewater treatment and desalination using membrane processes: A review. Chemical Engineering Journal, 419(March), pp. 129540. DOI:10.1016/j.cej.2021.129540
  • Khatri, N., Khatri, K. K. & Sharma, A. (2020). Artificial neural network modelling of faecal coliform removal in an intermittent cycle extended aeration system-sequential batch reactor based wastewater treatment plant. Journal of Water Process Engineering, 37, pp. 101477. DOI:10.1016/j.jwpe.2020.101477.
  • Matheri, A. N., Ntuli, F., Ngila, J. C., Seodigeng, T. & Zvinowanda, C. (2021). Performance prediction of trace metals and cod in wastewater treatment using artificial neural network. Computers and Chemical Engineering, 149, pp. 107308. DOI:10.1016/j.compchemeng.2021.107308
  • MATLAB. (2022). The MathWorks Inc version R2022b (version R2021b). The MathWorks Inc. https://matlab.mathworks.com.
  • Negnevitsky, M. (2005). Artificial Intelligence A Guide to Intelligent Systems. In British Library Cataloguing (2nd ed., Vol. 123). DOI:10.1016/j.poly.2016.11.012.
  • Oliveira-Esquerre, K. P., Mori, M. & Bruns, R. E. (2002). Simulation of an industrial wastewater treatment plant using artificial neural networks and principal components analysis. Brazilian Journal of Chemical Engineering, 19, 4, pp. 365–370. DOI:10.1590/S0104-66322002000400002.
  • Pai, T.-Y. (2008). Gray and Neural Network Prediction of Effluent from the Wastewater Treatment Plant of Industrial Park Using Influent Quality. Environmental Engineering Science, 25, 5, pp. 757–766. DOI:10.1089/ees.2007.0136.
  • Paquin, F., Rivnay, J., Salleo, A., Stingelin, N. & Silva, C. (2015). Multi-phase semicrystalline microstructures drive exciton dissociation in neat plastic semiconductors. J. Mater. Chem. C, 3, 4 , pp. 10715–10722.DOI:10.1039/b000000x.
  • Sakiewicz, P., Piotrowski, K., Ober, J. & Karwot, J. (2020). Innovative artificial neural network approach for integrated biogas – wastewater treatment system modelling: Effect of plant operating parameters on process intensification. Renewable and Sustainable Energy Reviews, 124. DOI:10.1016/j.rser.2020.109784
  • Sharghi, E., Nourani, V., Aliashrafi, A. & Gökçekuş, H. (2019). Monitoring effluent quality of wastewater treatment plant by clustering baseartificial neural network method. Desalination and Water Treatment, 164, pp. 86–97. DOI:10.5004/dwt.2019.24385
  • Tumer, A. E. & Edebali, S. (2015). Prediction of wastewater treatment plant performance using multilinear regression and artificial neural networks. INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings, DOI:10.1109/INISTA.2015.7276742
  • Wang, G., Qiao, J., Bi, J., Li, W. & Zhou, M. (2019). TL-GDBN: Growing Deep Belief Network with Transfer Learning. IEEE Transactions on Automation Science and Engineering, 16, 2, pp. 874–885DOI:10.1109/TASE.2018.2865663
  • Yang, Y., Kim, K. R., Kou, R., Li, Y., Fu, J., Zhao, L. & Liu, H. (2022). Prediction of effluent quality in a wastewater treatment plant by dynamic neural network modeling. Process Safety and Environmental Protection, 158, pp. 515–524. DOI:10.1016/j.psep.2021.12.034
  • Zeinolabedini, M. & Najafzadeh, M. (2019). Comparative study of different wavelet-based neural network models to predict sewage sludge quantity in wastewater treatment plant. Environmental Monitoring and Assessment, 191, 3. DOI:10.1007/s10661-019-7196-7
  • Zhao, Ying, Guo, L., Liang, J. & Zhang, M. (2016). Seasonal artificial neural network model for water quality prediction via a clustering analysis method in a wastewater treatment plant of China. Desalination and Water Treatment, 57, 8, pp. 3452–3465, DOI:10.1080/19443994.2014.986202.
  • Zhao, Yuchao, Xie, Z. & Lou, I. (2015). Using Extreme Learning Machine for Filamentous Bulking Prediction in Wastewater Treatment Plants. [In] J. Cao, K. Mao, E. Cambria, Z. Man, & K.-A. Toh (Eds.), Proceedings of ELM-2014 Volume 2 , pp. 1–9, Springer International Publishing.
Go to article

Authors and Affiliations

Hussein Y.H. Alnajjar
1
ORCID: ORCID
Osman Üçüncü
1

  1. Karadeniz Technical University Civil Engineering Faculty Hydraulic Department, Trabzon, Turkey
Download PDF Download RIS Download Bibtex

Abstract

This study aimed to analyse the effect of anthropogenic activities on the spatial distribution of total nitrogen (TN) and total phosphate (TP) in Lake Maninjau, Indonesia, during the dry season. Sampling was carried out at ten observation locations representative for various activities around the lake. Cluster analysis and ANOVA were used to classify pollutant sources and observe differences between TN and TP at each site. Concentrations of TN and TP are categorised as oligotrophic-eutrophic. The ANOVA showed spatially that some sampling locations, such as the Tanjung Sani River, floating net cages, and hydropower areas have different TN concentrations. At the same time, TP levels were consistently significantly different across sampling sites. ANOVA and cluster analysis confirmed that floating net cages were the first cluster and the primary contributor to TN and TP. The second and third clusters come from anthropogenic activities around the lake, such as agriculture, settlement, and livestock. The fourth cluster with the lowest TN and TP is the river that receives the anthropogenic activity load but has a high flow velocity. The cluster change analysis needs to be conducted when there are future changes in the composition of floating net cages, agriculture, and settlements.
Go to article

Authors and Affiliations

Puti S. Komala
1
ORCID: ORCID
Zulkarnaini Zulkarnaini
1
Roselyn I. Kurniati
2
Mhd Fauzi
3
ORCID: ORCID

  1. Universitas Andalas, Department of Environmental Engineering, 25163, Padang, Indonesia
  2. Universitas Universal, Department of Environmental Engineering, 29432, Batam, Indonesia
  3. Doctoral Student of Environmental Engineering, Institut Teknologi Bandung, 40132, Bandung, Indonesia
Download PDF Download RIS Download Bibtex

Abstract

In the presented paper we discuss pure versions of pushdown automata that have no extra non-input symbols. More specifically, we study pure multi-pushdown automata, which have several pushdown lists. We restrict these automata by the total orders defined over their pushdowns or alphabets and determine the accepting power of the automata restricted in this way. Moreover, we explain the significance of the achieved results and relate them to some other results in the automata theory.

Go to article

Authors and Affiliations

Alexander Meduna
Ondřej Soukup
Petr Zemek
Download PDF Download RIS Download Bibtex

Abstract

Sixteen samples were designed for analysis (hard coal, aggregate – barren rock, hard coal sludge). The total mercury content and the amount of mercury leaching were determined. The percentage of leachable form in the total content was calculated. The studies were carried out under various pH medium. The leachability under conditions close to neutral was determined in accordance with the PN EN 12457/1-4 standard. The leachability under acidic medium (pH of the solution – approx. 3) was determined in accordance with principles of the TCLP method. The mercury content was determined by means of the AAS method. For hard coal the total mercury content was 0.0384–0.1049 mg/kg. The level of leaching on mean was 2.6%. At the acidic medium the amount of leaching increases to an mean 4.1%. The extractive waste of aggregate type features a higher total mercury content in the finest fraction < 6 mm (up to 0.4564 mg/kg) and a lower content in the fraction 80–120 mm (up to 0.1006 mg/kg). The aggregate shows the percentage of the leachable form on mean from 1.4 to 2.2%. With pH decreasing to approx. 3, the amount of leaching grows up to mean values of 1.7–3.2%. Coal sludge features the total mercury content of 0.1368–0.2178 mg/kg. The percentage of mercury leachable form is approx. 1.8%. With pH decreasing the value increases to mean value of 3.0%. In general, the leachability of mercury from hard coals and extractive waste is low, and the leachability in an acidic medium grows approx. twice. Such factors as the type and origin of samples, their grain composition, and the pH conditions, have basic importance for the process. The time of waste seasoning and its weathering processes have the greatest impact on increasing the leaching of mercury from the extractive waste.
Go to article

Authors and Affiliations

Beata Klojzy-Karczmarczyk
1
ORCID: ORCID
Janusz Mazurek
1
ORCID: ORCID

  1. Mineral and Energy Economy Research Institute of the Polish Academy of Sciences, Kraków, Poland
Download PDF Download RIS Download Bibtex

Abstract

Nitrated polycyclic aromatic hydrocarbons (nitro-PAHs) may be formed during combustion of Diesel and gasoline rud and may be produced in gas-phase reactions of polycyclic aromatic hydrocarbons (PAHs) with oxides of nitrogen. These compounds can form a significant fraction olthc mainly direct-acting mutagenie compounds present in extracts of ambient air particles. Using own analytical method of nitro-PAHs determination, concentrations or total PAHs, nitro- and dinitro-PAHs in urban and non-urban area of three cites of Upper Silesia in Poland were measured. The dependence between concentration of PAHs and nitro-pAHs in urban and non-urban area as well as their distribution depending on roadway distance were searched. The study showed a significant influence of road transport on the levels ofnitro-PAHs concentration.
Go to article

Authors and Affiliations

Marzena Zaciera
Wojciech Mniszek
Jolanta Kurek
Download PDF Download RIS Download Bibtex

Abstract

This paper presents the results of a sanitary and bacteriological study of Lake Hańcza and its influents and an outflow. The study was conducted from April to October in the years 1998-2000, at 9 sites situated on the lake (pelagic zone, near-shore waters, ecotonal zone), 4 sites situated on the influents (the Czarna Hańcza and Stara Hańcza Rivers, the Spod Przełomki stream and the stream flowing from Lake Boczniel) and one situated on the Czarna Hańcza River, which flows out of Lake Hańcza. Total Viable Count at 20°C (TYC 20°C) and Total Viable Count at 37°C (TYC 37°C) were used as indicators of pollution, while Total Coli (TC), Faecal (therrnotolerant) Coli (FC) and Faecal Streptococcus - Enterococcus (FS) - as indicators of the sanitary state. The indicator bacteria number in the waters of Lake Hańcza and in the outflowing waters were usually typical of clean surface waters (purity class I). The bacteria number in the water inflowing to Lake Hańcza was much higher than that measured in the water of the lake and was usually similar to the values typical of slightly polluted (purity class II) and heavily polluted waters (purity class III). Throughout the study period, higher indicator bacteria numbers were measured in summer months; in other periods a higher number was found only sporadically. Its increase in subsequent years of study in the water at the established sites may be an indication of the increasing effect of allochtonie factors on the waters of Lake Hańcza.
Go to article

Authors and Affiliations

Anna Gotkowska-Plachta
Ewa Korzeniewska
Stanisław Niewolak
Download PDF Download RIS Download Bibtex

Abstract

The use of biostimulants and cultivar selection play an important role in modern potato farming because they influence tuber yield and quality. The nutritional value and processing suitability of potato tubers are affected by their content of total protein, reducing sugars and sucrose. The aim of this study was to determine the effect of biostimulants on the content of total protein, glucose, fructose and sucrose in potato tubers (skin, flesh and whole tubers with skin), at harvest and after 5 months of storage. The experimental materials included tubers of five edible potato cultivars: Irga, Satina, Valfi, Blaue St. Galler and HB Red. During the growing season, potato plants were treated with the following biostimulants: Asahi SL, Bio-Algeen S-90, Kelpak SL and Trifender WP. Control plants were not treated with biostimulants. The total protein content of tubers was determined by the Kjeldahl method. Simple sugars and sucrose were determined by high-performance liquid chromatography. At harvest, total protein concentration was significantly higher in purple- and red-fleshed cultivars than in cream- and yellow-fleshed cultivars. An analysis of tuber parts revealed that flesh had the highest protein content. The total protein content of tubers increased during storage. Biostimulants had no significant effect on total protein concentration in tubers at harvest or after storage. The content of simple sugars and sucrose was higher in the skin, flesh and whole tubers of purple- and red-fleshed cultivars, than in cream- and yellow-fleshed cultivars. Potato tubers with colored flesh accumulated the highest amounts of total sugars. Biostimulants, in particular Bio-Algeen S-90 and Kelpak SL, contributed to the accumulation of monosaccharides and the disaccharide in potato tubers, and, in consequence, total sugars. Their concentrations in potato tubers increased during storage.
Go to article

Authors and Affiliations

Małgorzata Głosek-Sobieraj
1
Jadwiga Wierzbowska
2
ORCID: ORCID
Bożena Cwalina-Ambroziak
1
ORCID: ORCID
Agnieszka Waśkiewicz
3
ORCID: ORCID

  1. Department of Entomology, Phytopathology and Molecular Diagnostics, University of Warmia and Mazury, Olsztyn, Poland
  2. Department of Agricultural and Environmental Chemistry, University of Warmia and Mazury, Olsztyn, Poland
  3. Department of Chemistry, Poznań University of Life Sciences, Poznań, Poland
Keywords Pine N total N-NH4 N-NO3
Download PDF Download RIS Download Bibtex

Abstract

This paper discusses the results of a study on the impact of nitrogen stress on the accumulation of various N forms in young pines and in needles of mature pine trees. With the increase in N content in the growth environment (fertilization), a several fold increase in total N in plants was found while N-NH4 increased tens of times as compared to the treatment without fertilization. At a decreased biomass yield by ca. 50 % the proportion of N-NH4 in the total N pool fluctuated from IO to 15 %, or even more. The share of N-NO3 in the total N amount was several fold lower than that of N-NH4. In needles of trees growing under the impact of N deposition, the observed share of N-NH4 in the total N pool was at a level of ca. 3 %. but the total amount of soluble non-protein N compounds constituted ca. 26 %. In needles of trees under low N deposition only trace amounts of mineral N were detected. Thus it can be suggested that the ratio of total N to soluble non-protein N compounds as well as the total N to mineral N ratio may be used as indices of N stress for pine.
Go to article

Authors and Affiliations

Apolonia Ostrowska
Grażyna Porębska
Download PDF Download RIS Download Bibtex

Abstract

The degradation of photovoltaic modules and their subsequent loss of performance has a serious impact on the total energy generation potential. The lack of real-time information on the output power leads to additional losses since the panels may not be operating at their optimal point. To understand the behaviour, numerically simulate the characteristics and identify the optimal operating point of a photovoltaic cell, the parameters of an equivalent electrical circuit must first be identified. The aim of this work is to develop a total least-squares based algorithm which can identify those parameters from the output voltage and current measurements, taking into consideration the uncertainties on both measured quantities. This work presents a comparative study of the Ordinary Least Squares (OLS) and Total Least Squares (TLS) approaches to the estimation of the parameters of a photovoltaic cell.
Go to article

Bibliography

[1] Blaabjerg, F., & Ionel, D. M. (2015). Renewable Energy Devices and Systems – State-of-the-Art Technology, Research and Development, Challenges and Future Trends. Electric Power Components and Systems, 43(12), 1319–1328. https://doi.org/10.1080/15325008.2015.1062819
[2] Höök, M., & Tang, X. (2013). Depletion of fossil fuels and anthropogenic climate change – A review. Energy Policy, 52, 797–809. https://doi.org/10.1016/j.enpol.2012.10.046
[3] Gangopadhyay, U., Jana, S., & Das, S. (2013). State of Art of Solar Photovoltaic Technology. Conference Papers in Energy, 2013, 1–9. https://doi.org/10.1155/2013/764132
[4] Mao, M., Cui, L., Zhang, Q., Guo, K., Zhou, L.,&Huang, H. (2020). Classification and summarization of solar photovoltaic MPPT techniques: A review based on traditional and intelligent control strategies. Energy Reports, 6, 1312–1327.
[5] Ahmed, M. T., Rashel, M. R., Faisal, F.,&Tlemçani, M. (2020). Non-iterative MPPT Method:AComparative Study. International Journal of Renewable Energy Research (IJRER), 10(2), 549–557.
[6] Azmi, F. F. A., Sahraoui, B., & Muzakir, S. K. (2019). Study of ZnO nanospheres fabricated via thermal evaporation for solar cell application. Makara Journal of Technology, 23(1), 11–15.
[7] Boyd, M. T., Klein, S. A., Reindl, D. T., & Dougherty, B. P. (2011). Evaluation and validation of equivalent circuit photovoltaic solar cell performance models. Journal of Solar Energy Engineering, 133(2). https://doi.org/10.1115/1.4003584
[8] Bader, S., Ma, X., & Oelmann, B. (2020). A Comparison of One- and Two-Diode Model Parameters at Indoor Illumination Levels. IEEE Access, 8, 172057–172064. https://doi.org/10.1016/10.1109/ACCESS.2020.3025146
[9] Ciani, L., Catelani, M., Carnevale, E. A., Donati, L., & Bruzzi, M. (2015). Evaluation of the Aging Process of Dye-Sensitized Solar Cells Under Different Stress Conditions. IEEE Transactions on Instrumentation and Measurement, 64(5), 1179–1187. https://doi.org/10.1109/TIM.2014.2381352
[10] Ndiaye, A., Charki, A., Kobi, A., Kébé, C. M. F., Ndiaye, P. A., & Sambou, V. (2013). Degradations of silicon photovoltaic modules: A literature review. Solar Energy, 96, 140–151. https://doi.org/10.1016/10.1016/j.solener.2013.07.005
[11] Lay-Ekuakille, A., Ciaccioli, A., Griffo, G., Visconti, P., & Andria, G. (2018). Effects of dust on photovoltaic measurements: A comparative study. Measurement, 113, 181–188. http://dx.doi.org/10.1016/10.1016/j.measurement.2017.06.025
[12] Cristaldi, L., Faifer, M., Rossi, M., Toscani, S., Catelani, M., Ciani, L., & Lazzaroni, M. (2014). Simplified method for evaluating the effects of dust and aging on photovoltaic panels. Measurement, 54, 207–214. https://doi.org/10.1016/j.measurement.2014.03.001
[13] Carullo, A., Ferraris, F., Vallan, A., Spertino, F., & Attivissimo, F. (2014). Uncertainty analysis of degradation parameters estimated in long-term monitoring of photovoltaic plants. Measurement, 55, 641–649. https://doi.org/10.1016/j.measurement.2014.06.003
[14] Cubas, J., Pindado, S., & Victoria, M. (2014). On the analytical approach for modeling photovoltaic systems behavior. Journal of Power Sources, 247, 467–474. https://doi.org/10.1016/j.jpowsour.2013.09.008
[15] Batzelis, E. I., & Papathanassiou, S. A. (2016). A Method for the Analytical Extraction of the Single-Diode PV Model Parameters. IEEE Transactions on Sustainable Energy, 7(2), 504–512. https://doi.org/10.1109/TSTE.2015.2503435
[16] Hassan Ali, M., Rabhi, A., Haddad, S., & El Hajjaji, A. (2017). Real-Time Determination of Solar Cell Parameters. Journal of Electronic Materials, 46(11), 6535–6543. https://doi.org/10.1016/10.1007/s11664-017-5697-0
[17] Subudhi, B., & Pradhan, R. (2018). Bacterial Foraging Optimization Approach to Parameter Extraction of a Photovoltaic Module. IEEE Transactions on Sustainable Energy, 9(1), 381–389. https://doi.org/10.1109/TSTE.2017.2736060
[18] Long, W., Cai, S., Jiao, J., Xu, M., & Wu, T. (2020). A new hybrid algorithm based on grey wolf optimizer and cuckoo search for parameter extraction of solar photovoltaic models. Energy Conversion and Management, 203, 112243. https://doi.org/10.1016/j.enconman.2019.112243
[19] Liao, Z., Chen, Z., & Li, S. (2020). Parameters Extraction of Photovoltaic Models Using Triple- Phase Teaching-Learning-Based Optimization. IEEE Access, 8, 69937–69952. https://doi.org/10.1016/10.1109/ACCESS.2020.2984728
[20] Ibrahim, I. A., Hossain, M. J., Duck, B. C., & Fell, C. J. (2020). An AdaptiveWind-Driven Optimization Algorithm for Extracting the Parameters of a Single-Diode PV Cell Model. IEEE Transactions on Sustainable Energy, 11(2), 1054–1066. https://doi.org/10.1109/TSTE.2019.2917513
[21] Gomes, R. C. M., Vitorino, M. A., Corrêa, M. B. de R., Fernandes, D. A.,&Wang, R. (2017). Shuffled Complex Evolution on Photovoltaic Parameter Extraction:AComparative Analysis. IEEE Transactions on Sustainable Energy, 8(2), 805–815. https://doi.org/10.1109/TSTE.2016.2620941
[22] Dkhichi, F., Oukarfi, B., Fakkar, A., & Belbounaguia, N. (2014). Parameter identification of solar cell model using Levenberg–Marquardt algorithm combined with simulated annealing. Solar Energy, 110, 781–788. https://doi.org/10.1016/j.solener.2014.09.033
[23] Alam, D. F., Yousri, D. A., & Eteiba, M. B. (2015). Flower Pollination Algorithm based solar PV parameter estimation. Energy Conversion and Management, 101, 410–422. https://doi.org/10.1016/j.enconman.2015.05.074
[24] Diab, A. A. Z., Sultan, H. M., Do, T. D., Kamel, O. M., & Mossa, M. A. (2020). Coyote Optimization Algorithm for Parameters Estimation of Various Models of Solar Cells and PV Modules. IEEE Access, 8, 111102–111140. https://doi.org/10.1109/ACCESS.2020.3000770
[25] Mesbahi, O., Tlemçani, M., Janeiro, F. M., Hajjaji, A., & Kandoussi, K. (2020). A Modified Nelder– Mead Algorithm for Photovoltaic Parameters Identification. International Journal of Smart Grid – IJSmartGrid, 4(1), 28–37.
[26] Mesbahi, O., Tlemçani, M., Janeiro, F. M., Abdeloawahed, H., & Khalid, K. (2019). Estimation of Photovoltaic Panel Parameters by a Numerical Heuristic Searching Algorithm. In 2019 8th International Conference on Renewable Energy Research and Applications (ICRERA) (pp. 401-406). IEEE. https://doi.org/10.1109/ICRERA47325.2019.8996779
[27] Hutcheson, G. D. (2011). Ordinary least-squares regression. L. Moutinho and G.D. Hutcheson, The SAGE Dictionary of Quantitative Management Research, 224–228.
[28] Hadjdida, A., Bourahla, M., Ertan, H. B., & Bekhti, M. (2018). Analytical Modelling, Simulation and Comparative Study of Multi-Junction Solar Cells Efficiency. International Journal of Renewable Energy Research, 8(4), 1824–1832.
[29] Salmi, T., Bouzguenda, M., Gastli, A.,&Masmoudi, A. (2012).MATLAB / Simulink Based Modelling of Solar Photovoltaic Cell. International Journal of Renewable Energy Research (IJRER), 2(2), 213– 218.
[30] Dimova-Malinovska, D. (2010). The state-of-the-art and future development of the photovoltaic technologies – The route from crystalline to nanostructured and new emerging materials. Journal of Physics: Conference Series, 253(1). https://doi.org/10.1088/1742-6596/253/1/012007
[31] Mahmoud, Y., Xiao, W., & Zeineldin, H. H. (2012). A Simple Approach to Modeling and Simulation of Photovoltaic Modules. IEEE Transactions on Sustainable Energy, 3(1), 185–186. https://doi.org/10.1109/TSTE.2011.2170776
[32] Ishaque, K., Salam, Z., & Taheri, H. (2011). Simple, fast and accurate two-diode model for photovoltaic modules. Solar Energy Materials and Solar Cells, 95(2), 586–594. https://doi.org/10.1016/j.solmat.2010.09.023
[33] Babu, B. C., & Gurjar, S. (2014). A Novel Simplified Two-Diode Model of Photovoltaic (PV) Module. IEEE Journal of Photovoltaics, 4(4), 1156–1161. https://doi.org/10.1109/JPHOTOV.2014.2316371
[34] Nelder, J. A.,&Mead, R. (1965).Asimplex method for function minimization. The Computer Journal, 7(4), 308–313. https://doi.org/10.1093/comjnl/7.4.308
[35] Rashel, M. R., Rifat, J., Gonçalves, T., Tlemcani, M., & Melicio, R. (2017). Sensitivity Analysis Through Error Function of Crystalline-Si Photovoltaic Cell Model Integrated in a Smart Grid. International Journal of Renewable Energy Research, 7(4).
Go to article

Authors and Affiliations

Oumaima Mesbahi
1 2
Mouhaydine Tlemçani
1 2
Fernando M. Janeiro
1 2 3
Abdeloawahed Hajjaji
4
Khalid Kandoussi
4

  1. University of Évora, Department of Mechatronics, R. Romão Ramalho 59, 7000-671 Évora, Portugal
  2. Instrumentation and Control Laboratory, Institute of Earth Sciences, Évora, Portugal
  3. Instituto de Telecomunicações, Lisbon, Portugal
  4. University of Chouaib Doukkali, Energy Engineering Laboratory, National School of Applied Sciences, El Jadida, Morocco
Download PDF Download RIS Download Bibtex

Abstract

The aim of this study was to evaluate the antioxidative/oxidative status of spermatozoa and prostatic fluid in dogs with benign prostatic hyperplasia (BPH) by the determination of total antioxidant capacity and protein peroxidation markers. Study was conducted on 40 intact dogs of various breeds. The dogs were assigned to two groups: BPH group (n=20) and non-affected group (n=20). The second and third fractions of the ejaculate were collected separately by digital manipulation. Total antioxidant capacity (TAC) and the concentrations of SH-groups in sperm and prostatic fluid were determined spectrophotometrically, the concentrations of bityrosine and formylkynurenine were determined using spectrofluorimetric methods. The mean values of TAC in spermatozoa and prostatic fluid were significantly lower (p<0.05), whereas the mean contents of biotyrosine and formylkinurenine were significantly higher (p<0.05) in BPH dogs compared to control dogs. There was no statistically significant difference in the content of SH group between dogs with BPH and control dogs (p>0.05). In conclusion, the results indicate that BPH in dogs is associated with reduced total antioxidant capacity and increased protein oxidation in the prostatic fluid and spermatozoa, and suggest the importance of oxidative stress in the pathogenesis of this condition. The potential role of antioxidants in the prevention and therapy of canine BPH requires further studies.
Go to article

Bibliography

1. Al Smadi MA, Hammadeh ME, Batiha O, Al Sharu E, Altalib MM, Jahmani MY, Mahdy A, Amor H (2021) Elevated seminal protein carbonyl concentration is correlated with asthenozoospermia and affects adversely the laboratory intracytoplasmic sperm injection (ICSI) outcomes. Andrologia 53: e14232.
2. Angrimani DS, Brito MM, Rui BR, Nichi M, Vannucchi CI (2020) Reproductive and endocrinological effects of Benign Prostatic Hy-perplasia and finasteride therapy in dogs. Sci Rep 10: 14834.
3. Aquino-Cortez A, Pinheiro BQ, Lima DB, Silva HV, Mota-Filho AC, Martins JA, Rodriguez-Villamil P, Moura AA, Silva LD (2017) Proteomic characterization of canine seminal plasma. Theriogenology 95: 178-186.
4. Aydin A, Arsova-Sarafinovska Z, Sayal A, Eken A, Erdem O, Erten K, Ozgok Y, Dimovski A (2006) Oxidative stress and antioxidant status in non-metastatic prostate cancer and benign prostatic hyperplasia. Clin Biochem 39: 176-179.
5. Barsanti JA, Finco DR (1986) Canine prostatic diseases. Vet Clin North Am Small Anim Pract 16: 587-599.
6. Benzie IF, Strain JJ (1996) The ferric reducing ability of plasma (FRAP) as a measure of „antioxidant power”: The FRAP assay. Anal Biochem 239: 70-76.
7. Bergsma AT, Li HT, Eliveld J, Bulthuis ML, Hoek A, van Goor H, Bourgonje AR, Cantineau AE (2022) Local and systemic oxidative stress biomarkers for male infertility: The ORION study. Antioxidants (Basel) 11: 1045.
8. Berry SJ, Strandberg JD, Saunders WJ, Coffey DS (1986) Development of canine benign prostatic hyperplasia with age. Prostate 9: 363-373.
9. Castleton PE, Deluao JC, Sharkey DJ, McPherson NO (2022) Measuring reactive oxygen species in semen for male preconception care: A scientist perspective. Antioxidants (Basel) 11: 264.
10. Cunto M, Ballotta G, Zambelli D (2022) Benign prostatic hyperplasia in the dog. Anim Reprod Sci 247: 107096.
11. Da Rocha AA, da Cunha ICN, Ederli BB, Albernaz AP, Quirino CR (2009) Effect of daily food supplementation with essential fatty ac-ids on canine semen quality. Reprod Dom Anim 44, (Suppl 2): 313-315.
12. Dearakhshandeh N, Mogheiseh A, Nazifi S, Ahrari Khafi MS, Abbaszadeh Hasiri M, Golchin-Rad K (2019) Changes in the oxidative stress factors and inflammatory proteins following the treatment of BPH-induced dogs with an anti-proliferative agent called tadalafil. J Vet Pharmacol Ther 42: 665-672.
13. De Souza FF, Barreto CS, Lopes MD (2007) Characteristics of seminal plasma proteins and their correlation with canine semen analysis. Theriogenology 68: 100-106.
14. Domosławska A, Zdunczyk S (2020) Clinical and spermatological findings in male dogs with acquired infertility: A retrospective analy-sis. Andrologia 52: e13802.
15. Domoslawska A, Zdunczyk S, Franczyk M, Kankofer M, Janowski T (2018) Selenium and vitamin E supplementation enhances the an-tioxidant status of spermatozoa and improves semen quality in male dogs with lowered fertility. Andrologia 50: e13023
16. Domosławska A, Zdunczyk S, Franczyk M, Kankofer M, Janowski T (2019) Total antioxidant capacity and protein peroxidation inten-sity in seminal plasma of infertile and fertile dogs. Reprod Domest Anim 54: 252-257.
17. Domosławska A, Zduńczyk S, Kankofer M, Bielecka A (2022) Oxidative stress biomarkers in dogs with benign prostatic hyperplasia. Ir Vet J 75: 21.
18. Ferré-Dolcet L, Frigotto L, Contiero B, Bedin S, Romagnoli S (2022) Prostatic fluid composition and semen quality in dogs with benign prostatic hyperplasia undergoing treatment with osaterone acetate. Reprod Domest Anim 57: 72-79.
19. Fontbonne A (2011) Infertility in male dogs: recent advances. Rev Bras Reprod Anim 35: 266-273.
20. Gandaglia G, Briganti A, Gontero P, Mondaini N, Novara G, Salonia A, Sciarra A, Montorsi F (2013) The role of chronic prostatic in-flammation in the pathogenesis and progression of benign prostatic hyperplasia (BPH). BJU Int 112: 432-441.
21. Ghiselli A, Serafini M, Natella F, Scaccini C (2000) Total antioxidant capacity as a tool to assess redox status: critical view and experi-mental data. Free Radic Biol Med 29: 1106-1114.
22. Gobello C, Corrada Y (2002) Noninfectious prostatic diseases in dogs. Compend Contin Educ Pract Vet 24: 99-107.
23. Halliwell B, Whiteman M (2004) Measuring reactive species and oxidative damage in vivo and in cell culture: how should you do it and what do the results mean? Br J Pharmacol 142: 231-255.
24. Kankofer M (2001) Protein peroxidation processes in bovine retained and not-retained placenta. J Vet Med A Physiol Pathol Clin Med 48: 207-2212.
25. Kawakami E, Kobayashi M, Hori T, Kaneda T (2015) Therapeutic effects of vitamin E in 4 dogs with poor semen quality and low su-peroxide dismutase activity in seminal plasma. J Vet Med Sci 77: 1711-1714.
26. Lévy X, Niżański W, von Heimendahl A, Mimouni P (2014) Diagnosis of common prostatic conditions in dogs: an update. Reprod Domest Anim 49 (Suppl 2): 50-57.
27. Linde-Forsberg C (1991) Achieving canine pregnancy by using frozen or chilled extended semen. Vet Clin North Am Small Anim Pract 21: 467-485.
28. Meikle AW, Collier ES, Stringham JD, Fang SM, Taylor GN (1981) Elevated intranuclear dihydrotestosterone in prostatic hyperplasia of aging dogs. J Steroid Biochem 14: 331-335.
29. Memon MA (2007) Common causes of male dog infertility. Theriogenology 68: 322-328.
30. Minciullo PL, Inferrera A, Navarra M, Calapai G, Magno C, Gangemi S (2015) Oxidative stress in benign prostatic hyperplasia: a sys-tematic review. Urol Int 94: 249-254.
31. Mitsunari K, Miyata Y, Matsuo T, Mukae Y, Otsubo A, Harada J, Kondo T, Matsuda T, Ohba K, Sakai H (2021) Pharmacological Ef-fects and Potential Clinical Usefulness of Polyphenols in Benign Prostatic Hyperplasia. Molecules 26: 450.
32. Morielli T, O’Flaherty C (2015) Oxidative stress impairs function and increases redox protein modifications in human spermatozoa. Re-production 149: 113-23.
33. Nowicka-Bauer K, Lepczynski A, Ozgo M, Kamieniczna M, Fraczek M, Stanski L, Olszewska M, Malcher A, Skrzypczak W, Kurpisz MK (2018) Sperm mitochondrial dysfunction and oxidative stress as possible reasons for isolated asthenozoospermia. J Physiol Phar-macol 69.
34. Pace G, Di Massimo C, De Amicis D, Corbacelli C, Di Renzo L, Vicentini C, Miano L, Tozzi Ciancarelli MG (2010) Oxidative stress in benign prostatic hyperplasia and prostate cancer. Urol Int 85: 328-333.
35. Rice- Evans CA, Diplock AT, Symons MCR (1991) Techniques in Free Radical Research, 1st ed., Elsevier, Amsterdam.
36. Roumeguère T, Sfeir J, El Rassy E, Albisinni S, Van Antwerpen P, Boudjeltia KZ, Farès N, Kattan J, Aoun F (2017) Oxidative stress and prostatic diseases. Mol Clin Oncol 7: 723-728.
37. Schäfer-Somi S (2023) Diseases of the Canine Prostate Gland. IntechOpen. Doi: 10.5772/intechopen.105835.
38. Smith J (2008) Canine prostatic disease: a review of anatomy, pathology, diagnosis, and treatment. Theriogenology 70: 375-383.
39. Srivastava DS, Mittal RD (2005) Free radical injury and antioxidant status in patients with benign prostate hyperplasia and prostate can-cer. Indian J Clin Biochem 20: 162-165.
40. Stadtman ER, Levine RL (2000) Protein oxidation. Ann N Y Acad Sci 899: 191-208.
41. Stewart KL, Lephart ED (2023) Overview of BPH: Symptom Relief with Dietary Polyphenols, Vitamins and Phytochemicals by Nutraceutical Supplements with Implications to the Prostate Microbiome. Int J Mol Sci 24: 5486.
42. Strzeżek R, Koziorowska-Gilun M, Kowalówka M, Strzeżek J (2009) Characteristics of antioxidant system in dog semen. Pol J Vet Sci 12: 55-60.
43. Tong Y, Zhou RY (2020) Review of the roles and interaction of androgen and inflammation in benign prostatic hyperplasia. Mediators Inflamm 2020: 7958316.
44. Tunn S, Hochstrate H, Habenicht UF, Krieg M (1988) 5 alpha-reductase activity in epithelium and stroma of prostates from intact and castrated dogs treated with androstenedione, the aromatase inhibitor 1-methyl-1,4androstadiene-3,17-dione, and cyproterone acetate. Prostate 12: 243-253.
45. Vital P, Castro P, Ittmann M (2016) Oxidative stress promotes benign prostatic hyperplasia. Prostate 76: 58-67.
46. Worobiej E, Klepacka M (2003) Degradation changes induced by hydroxyl radicals in bean (Phaseolus vulgaris) and pea (Pisum sa-tivum) proteins. Pol J Food Nutr Sci 53: 13-17.
Go to article

Authors and Affiliations

A. Domosławska
1
S. Zduńczyk
1
A. Bielecka
2
M. Kankofer
2

  1. Department of Animal Reproduction with Clinic, University of Warmia and Mazury, 10-719 Olsztyn, Oczapowskiego 14, Poland
  2. Department of Biochemistry, Faculty of Veterinary Medicine, University of Life Sciences, 20-033 Lublin, Akademicka 12, Lublin, Poland
Download PDF Download RIS Download Bibtex

Abstract

The electrical grid integration takes great attention because of the increasing population in the nonlinear load connected to the power distribution system. This manuscript deals with the power quality issues and mitigations associated with the electrical grid. The proposed single comprehensive artificial neural network (SCANN) controller with unified power quality conditioner (UPQC) is modelled in MATLAB Simulink environment. It provides series and shunt compensation that helps mitigate voltage and current distortion at the end of the distribution system. Initially, four proportional integral (PI) controllers are used to control the UPQC. Later the trained SCANN controller replaces four PI Controllers for better control action. PI and SCANN controllers’ simulation results are compared to find the optimal solutions. A prototype model of SCANN controller is constructed and tested. The test results show that the SCANN based UPQC maintains grid voltage and current magnitude within permissible limits under fluctuating conditions.
Go to article

Authors and Affiliations

Varadharajan Balaji
1
Subramanian Chitra
2

  1. Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore, Tamilnadu – 641049, India and Research Scholar (Electrical), Anna University, Chennai, Tamilnadu, India
  2. Department of Electrical and Electronics Engineering, Government College of Technology, Coimbatore, Tamilnadu – 641049, India
Download PDF Download RIS Download Bibtex

Abstract

The variability of the mean annual air temperature and precipitation totals in three periods: 1848–2010, 1951–2010 and 1981–2010 was investigated in the large Warta River basin, being the area with lowest rainfall in Poland. For the purposes of research, nine meteorological stations with the longest measurement series were selected. Air temperature increase in this river basin was similar than in neighbouring countries. In the last 30 years this trend kept increasing. The precipitation in the whole studied period was slightly increasing in the northern part of the Warta River basin, but decreasing in the southern part. The mean annual precipitation totals in the catchment area did not change visible. In the period 1981–2010, the precipitation totals show a small increase in the winter and spring and a decrease in summer. A negative influence of this climate change was not visible in the Warta River discharge. The main objectives of this study were the collection long-term records of air temperature and precipitation in the Warta River basin, and the statistical analysis of climate variability.

Go to article

Authors and Affiliations

Piotr Ilnicki
Ryszard Farat
Krzysztof Górecki
ORCID: ORCID
Piotr Lewandowski
Download PDF Download RIS Download Bibtex

Abstract

This study investigates (1) the effect of quality information on quality performance through process control and (2) the moderating role of shop floor leadership on the relationship between quality information and quality performance in the context of manufacturing plants on a global basis. The moderated mediation analysis with a bootstrapping approach was employed to analyse data for hypotheses testing. The data is from the fourth-round dataset of the High- Performance Manufacturing Project, collected from manufacturing plants worldwide. The results indicate that (1) quality information is positively associated with quality performance through process control, and (2) shop floor leadership (i.e., supervisory interaction facilitation) positively moderates the indirect effect of quality information on quality performance; that is, the shop floor leadership practice strengthens the effect of quality information on quality performance through process control. This study also has a practical implication for top managers who should consider the vital role of leadership practices adopted by shop floor supervisors in implementing total quality management practices and should raise awareness that leadership practices are not only for the ‘C-suite’ but also for shop floor supervisors.
Go to article

Authors and Affiliations

Ngoc Anh Nguyen
Chi Phan Anh
Thi Xuan Thoa Pham
Matsui Yoshiki
Download PDF Download RIS Download Bibtex

Abstract

The aim of the study is to determine the mercury content in hard coal, randomly taken from the USCB and in by-products of hard coal mining (fresh mining waste), i.e. aggregates (gangue) and hard coal sludge and mining waste from the Siersza dump (weathered waste). The 34 samples were intended for analysis. The total mercury content and the amount of mercury leaching from solid samples was determined. The percentage of the leaching form in the total element content, i.e. the level of mercury release from the material (leaching level), was also calculated. The amount of mercury leaching was determined by a static method using a batch test 1:10. The highest possibility of leaching mercury is characterized by weathered waste from the Siersza dump and slightly lower analyzed hard coal from the U pper Silesian Coal Basin (USCB). For hard coal samples, the total mercury content is between 0.0275–0.1236 mg/kg. However, the amount of mercury leaching from coal samples is 0.0008–0.0077 mg/kg. The aggregate is characterized by a higher total mercury content in the finest fraction 0–6 mm, within 0.1377–0.6107 mg/kg and much lower in the 80-120 mm fraction, within 0.0508–0.1274 mg/kg. The amount of elution is comparable in both fractions and amounts to 0.0008–0.0057 mg/kg. Coal sludge has a total mercury content of 0.0937–0.2047 mg/kg. L ow leaching values of 0.0014–0.0074 mg/ kg are also observed. Weathered mining waste has a total mercury content of 0.0622–0.2987 mg/kg. However, leaching values from weathered waste are much higher than from fresh mining waste. This value is 0.0058–0.0165 mg/kg. In the hard coal extracted from U SCB, the leaching level is 4.7% on average. Mining waste is characterized by a large variation in the proportion of mercury leaching form and the differences result from the seasoning time of the samples. Waste or by-products of hard coal production, such as aggregates and coal sludge, show a mercury washout form at an average level of 1.7%. The proportion of leachable form in weathered waste increased strongly to 7.3%. Elution characteristics vary for different groups of materials tested. Factors such as the type and origin of samples, their granulometric composition and the seasoning time of the material are of fundamental importance and demonstrated in the work.

Go to article

Authors and Affiliations

Beata Klojzy-Karczmarczyk
Janusz Mazurek
Download PDF Download RIS Download Bibtex

Abstract

Hassi Messaoud oil field is one of the most important fields in Algeria and the world, because it covers an important quantity of total Crude Oil Production in Algeria. Furthermore, two-thirds of this oil field is underexplored or not explored. Therefore, the drilling process of petroleum wells in this field is a continuous process that results in significant drilling waste. This implies that enormous noxious quantities of drilling waste are produced daily that require treatment via solidification/stabilization (S/S) process before being landfilled. These types of wastes have pollution concentration that significantly exceeds the safety standards. In this study, we focus on the factors affecting the solidification/stabilization treatment of the drill cuttings obtained from Hassi Messaoud oil field and the process optimization. The solidification/stabilization is performed using the cement as binder, and sand, silicate, organophilic clay and activated carbon as additives.The study has been divided into two steps: (i) Determining the optimum ratio of each element used in the S/S process for the organic element (hydrocarbon) elimination, (ii) Combining the optimum ratios found in the previous step to determine the optimal mixture. The obtained results in the first step showed that the optimum ratio for the cement-to-drill cuttings mass ratio is 0.09:1. For the additives-to-drill cuttings mass ratios are 0.04:1, 0.006:1, 0.013:1 and 0.013:1 for the sand, sodium silicate, organophilic clay and activated carbon, respectively. An optimum formula is found whose main finding shows that the hydrocarbon content of our sample is dropped from 9.40 to 1.999%. Many tests’ results such as matrix permeability, resistance to free compression and heavy metals rate before and after S/S process were investigated before landfilling. Besides that, in the light of outcomes achieved by this assessment, these harmful cuttings can be converted into a useful product that helps in reducing the environmental foot prints.
Go to article

Bibliography

  1. Abbas, A.H. (2011). Les bourbiers de forages pétroliers et des unités de production:Impact sur l’environnement et technique de traitement. Kasdi Merbeh Ouargla.
  2. Arafat, H.A., Hebatpuria, V.M., Rho, H.S., Pinto, N.G., Bishop, P.L. & Buchanan, R.C. (1999). Immobilization of phenol in cement-based solidified/stabilized hazardous wastes using regenerated activated carbon: Role of carbon. J. Hazard. Mater. 70, 139–156. DOI:10.1016/S0304-3894(99)00127-2
  3. Belferra, A., Kriker, A., Abboudi, S. & Bi, S.T. (2016). Effect of granulometric correction of dune sand and pneumatic waste metal fibers on shrinkage of concrete in arid climates. J. Clean. Prod. 112, 3048–3056. DOI : 10.1016/j.jclepro.2015.11.007
  4. Bodzek, M. (2022). Nanoparticles for water disinfection by photocatalysis: A review. Archives of Environmental Protection, 48, 1, pp. 3–17, DOI:10.24425/aep.2022.140541.
  5. Boutammine, H., Salem, Z. & Khodja, M. (2020). Petroleum drill cuttings treatment using stabilization/solidification and biological process combination. Soil Sediment Contam. 29, 369–383. DOI:10.1080/15320383.2020.1722982
  6. Clark, A.I. & Perry, R. (1985). Cement-Based Stabilization/Solidification Processes for the disposal of toxic wastes. Proceedings from a Workshop on Environmental Technology Assessment. Beaurmont, PWR, Jain, RK and Engelbrecht, RS, Eds. pp. 1 – 44.
  7. Coz, A., Andrés, A., Soriano, S., Viguri, J.R., Ruiz, M.C. & Irabien, J.A. (2009). Influence of commercial and residual sorbents and silicates as additives on the stabilisation/solidification of organic and inorganic industrial waste. J. Hazard. Mater. 164, 755–761. DOI:10.1016/j.jhazmat.2008.08.079
  8. Guide to disposal of chemically stabilized and solidified wastes, 1982. . U.S EPA SW872. DOI:10.1016/0016-2361(79)90171-6
  9. Kherfi, A. & Ganoune, L. (2018). Etude de l ’ efficacité des méthodes de traitement de boue de forage appliquée. Memoire de licence, Universite Kasdi Merbeh Ouargla.
  10. Khodja, M. (2008). Les Fluides De Forage : Etude Des Performances Et Considerations Environnementa 198.
  11. Krauthammer, T., Elfahal, M.M., Lim, J., Ohno, T., Beppu, M. & Markeset, G. (2003). Size effect for high-strength concrete cylinders subjected to axial impact. Int. J. Impact Eng. 28, 1001–1016. DOI:10.1016/S0734-743X(02)00166-5
  12. Lake, C.B. & Menzies, T. (2007). Assessment of two thermally treated drill mud wastes for landfill containment applications. Waste Management & Research: The Journal for a Sustainable Circular Economy 394–401. DOI:10.1177/0734242X07073652
  13. Larbi, A., Daaou, M. & Faraoun, A. (2015). Investigation of structural parameters and self-aggregation of Algerian asphaltenes in organic solvents. Pet. Sci. 12, 509–517. DOI:10.1007/s12182-015-0041-x
  14. Laroche, O., Wood, S.A., Tremblay, L.A., Ellis, J.I., Pawlowski, J., Lear, G., Atalah, J. & Pochon, X. (2016). First evaluation of foraminiferal metabarcoding for monitoring environmental impact from an offshore oil drilling site. Mar. Environ. Res. 120, 225–235. DOI:10.1016/j.mrenvres.2016.08.009
  15. Leonard, S.A., Roy, A.D. & Stegemann, J.A. (2010). Stabilization/solidification of petroleum drill cuttings: Thermal and microstructural studies of binder hydration products. Environ. Eng. Sci. 27, 889–903. DOI:10.1089/ees.2010.0147
  16. Leonard, S.A. & Stegemann, J.A. (2010). Stabilization/solidification of petroleum drill cuttings: Leaching studies. J. Hazard. Mater. 174, 484–491. DOI:10.1016/j.jhazmat.2009.09.078
  17. Liu, J., Nie, X., Zeng, X. & Su, Z. (2012). Cement-based solidification/stabilization of contaminated soils by nitrobenzene. Front. Environ. Sci. Eng. China 6, 437–443. DOI:10.1007/s11783-012-0406-y
  18. Malviya, R. & Chaudhary, R. (2006). Factors affecting hazardous waste solidification/stabilization: A review. J. Hazard. Mater. 137, 267–276. DOI:10.1016/j.jhazmat.2006.01.065
  19. Malviya, R. & Chaudhary, R. (2004). Study of the treatment effectiveness of a solidification/stabilization process for waste bearing heavy metals. J. Mater. Cycles Waste Manag. 6, 147–152. DOI:10.1007/s10163-004-0113-2
  20. Masrullita, Perry Burhan, R.Y. & Trihadiningrum, Y. (2018). Stabilization/solidification of waste containing heavy metals and hydrocarbons using OPC and land trass cement. J. Ecol. Eng. 19, 88–96. DOI:10.12911/22998993/92926
  21. Montgomery, D.M., Sollars, C.J., Perry, R., Tarling, S.E., Barnes, P. & Henderson, E. (1991). Treatment of Organic-Contaminated Industrial Wastes Using Cement-Based Stabilization/Solidification— Ii. Microstructural Analysis of the Organophilic Clay as a Pre-Solidification Adsorbent. Waste Manag. Res. 9, 113–125. DOI:10.1177/0734242X9100900116
  22. Ogechi Opete, S. E., Ibifuro, A.M. & Elijah, T.I. (2010). Stabilization/solidification of synthetic Nigerian drill cuttings. African J. Environ. Sci. Technol. 4, 149–153. DOI:10.5897/ajest09.012
  23. Paria, S. & Yuet, P.K. (2006). Solidification-stabilization of organic and inorganic contaminants using portland cement: A literature review. Environ. Rev. 14, 217–255. DOI:10.1139/A06-004
  24. Poon, C.S., Peters, C.J. & Perry, R. (1985). Mechanisms of Metal Stabilization by Cement Based Fixation Processes. Sci. Total Environ. Elsevier Holland pp. 55 – 71.
  25. Rho, H., Arafat, H.A., Kountz, B., Buchanan, R.C., Pinto, N.G. & Bishop, P.L. (2001). Decomposition of hazardous organic materials in the solidification/stabilization process using catalytic-activated carbon. Waste Manag. 21, 343–356. DOI:10.1016/S0956-053X(00)00080-5
  26. Rosener, M. (2008). Etude pétrophysique et modélisation des effets des transferts thermiques entre roche et fluide dans le contexte géothermique de Soultz-sous-Forêts . To cite this version : HAL Id : tel-00202959 Etude pétrophysique et modélisation des effets des transferts.
  27. Rusin, M., Gospodarek, J. & Nadgórska-Socha, A. (2021). Time-delayed effect of petroleum-derived products in soil and their bioremediation on plant – herbivore interaction. Archives of Environmental Protection, 47, 3,pp. 71-81, DOI:10.24425/aep.2021.138465.
  28. Tanikawa, W. & Shimamoto, T. (2006). Klinkenberg effect for gas permeability and its comparison to water permeability for porous sedimentary rocks. Hydrol. Earth Syst. Sci. Discuss. 3, 1315–1338. DOI:10.5194/hessd-3-1315-2006
  29. Vaccari, M. & Castro, F.D. (2019). Non-conventional stabilisation/solidification treatment of industrial wastes with residual powdered paints. Waste Manag. Res. 37, 1012–1024. DOI:10.1177/0734242X19860178
  30. Vehlow, J. (2012). Reduction of dioxin emissions from thermal waste treatment plants: A brief survey. Rev. Environ. Sci. Biotechnol. 11, 393–405. DOI:10.1007/s11157-012-9296-5
  31. Wang, Z., Sun, Y., Zhang, S. & Wang, Y. (2019). Effect of sodium silicate on Portland cement/calcium aluminate cement/gypsum rich-water system: Strength and microstructure. RSC Adv. 9, 9993–10003. DOI:10.1039/c8ra09901d
  32. Yoon, S., Bhatt, S.D., Lee, W., Lee, H.Y., Jeong, S.Y., Baeg, J.O. & Lee, C.W. (2009). Separation and characterization of bitumen from Athabasca oil sand. Korean J. Chem. Eng. 26, 64–71. DOI:10.1007/s11814-009-0011-3
  33. Young, J.F. (1992). Dense High Strength, Low Permeability Cement Based Materials for Containment. Proc. 1st Intl Symposium, Cement Industry Sol. to Waste Mgt, Canadian Portland Cement Assoc. Toronto pp. 13-22.
  34. Zhang, J. & Bishop, P.L. (2002). Stabilization/solidification (S/S) of mercury-containing wastes using reactivated carbon and Portland cement. J. Hazard. Mater. 92, 199–212. DOI:10.1016/S0304-3894(02)00019-5
  35. Zhao, T. Zhu, J. & Chi, P. (1999). Modification of Pore Chemicals in evaluation of High-Performance Concrete Permeability. ACI Mater. J. 96: 84 – 89.
Go to article

Authors and Affiliations

Abbas Hadj Abbas
1 2
Abidi Saad Aissa
3
Mohamed Khodja
4
Farad Sagala
5 6
Messaoud Hacini
3

  1. Laboratoire de géologie du Sahara, Université Kasdi Merbah Ouargla, Route de Ghardaia BP 511 Ouargla Algérie.
  2. Department of Chemical and Petroleum Engineering, University of Calgary,
  3. Laboratoire de géologie du Sahara, Université Kasdi Merbah Ouargla, Route de Ghardaia BP 511 Ouargla Algérie
  4. SONATRACH/Institut Algérien du Pétrole, Avenue 1 Novembre 35000 Boumerdès, Algeria
  5. Department of Chemical and Petroleum Engineering, University of Calgary
  6. Department of Energy, Minerals and Petroleum Engineering, Faculty of Applied Sciences and Technology, Mbarara, University of Science and Technology (MUST), Kihumuro Campus, Mbarara, Uganda
Download PDF Download RIS Download Bibtex

Abstract

In this work, the authors investigated the influence of proton-irradiation on the dark current of XBp longwave infrared InAs/GaSb type-II superlattice barrier detectors, showing a cut-off wavelength from 11 µm to 13 µm at 80 K. The proton irradiations were performed with 63 MeV protons and fluences up to 8∙1011 H+/cm² on a type-II superlattice detector kept at cryogenic (100 K) or room temperature (300 K). The irradiation temperature of the detector is a key parameter influencing the effects of proton irradiation. The dark current density increases due to displacement damage dose effects and this increase is more important when the detector is proton-irradiated at room temperature rather than at cryogenic temperature.
Go to article

Authors and Affiliations

Clara Bataillon
1
Jean-Phillipe Perez
1
Rodolphe Alchaar
1
Alain Michez
1
Olivier Gilard
2
Olivier Saint-Pé
3
Philippe Christol
1

  1. University of Montpellier, 163 Auguste Broussonnet St., 34090 Montpellier, France
  2. CNES, 18 Edouard Belin Ave., 31400 Toulouse, France
  3. Airbus Defense & Space, 31 des Cosmonautes St., 31400 Toulouse, France
Download PDF Download RIS Download Bibtex

Abstract

This work describes the behaviour of organic pollutants along the wadi Mouillah watercourse and its main tributaries and their impacts on the Hammam Boughrara dam, located in the NW of Algeria, in the Wilaya of Tlemcen. The use of a database relating to physico-chemical, biotic and hydrological variables, covering the period from January 2006 to December 2009, contributed to the understanding of the spatiotemporal evolution of each variable. The application of a mathematical model of the diffusion by convection-dispersion with a reaction on two characteristic parameters of organic pollution, the biochemical oxygen demand (BOD 5) which records values above the norm, with peaks that can reach 614%, and total phosphorus (P tot), which the concentration is always higher with maxima reaching 53 mg∙dm –3 favouring eutrophication; this made it possible with precision to synthesise the propagation of pollutants in the liquid mass. The results obtained on the waters of Wadi Mouillah are therefore of poor quality; there is a need to set up a rigorous water quality monitoring system, with water treatment and decontamination devices to preserve the water resources. This will allow to contribute to better management of water quality in terms of combating the spread of pollution. Therefore, they can be used to support decisions in the context of sustainable development.
Go to article

Authors and Affiliations

Lotfi Benadda
1
ORCID: ORCID
Belkheir Djelita
2
ORCID: ORCID
Abdelghani Chiboub-Fellah
1
ORCID: ORCID

  1. University of Tlemcen, Research Laboratory No. 60: Valorization of Water Resources, PO Box 230, 13000 Tlemcen, Algeria
  2. Ziane Achour University of Djelfa, Department of Hydraulic, Djelfa, Algeria
Download PDF Download RIS Download Bibtex

Abstract

The intensive agricultural use of the land affects both quantity and quality of river water in the catchment area. Such impact is visible also in the Szreniawa River catchment in the Małopolskie Voivodeship. The combination of intensive plowing and soil susceptibility to water erosion are the main causes of soil and nutrients depletion during the heavy rainfall. The aim of the study is to determine changes in the water quality in the Szreniawa River catchment compared to the agri-culture use and precipitation level.

The quality of surface water has been analysed in the river catchment area in three sampling points. The concentration of the total suspended soils in the samples collected after heavy rainfall in August 2017 reached a value of 837 mg·dm–3. The average concentrations of N-NO3 in the years of 2016–2019 ranged from 0.16 to 13.46 mg·dm–3, with the highest val-ues in the summer (up to 13.46 mg·dm–3). The concentration of N-NH4 and P-PO4 in the Szreniawa water was affected by precipitation. The highest value of average concentration of N-NH4 3.00 mg·dm–3 was recorded in the autumn of 2019 in the middle section of the river. The highest value of P-PO4 0.90 mg·dm–3 was recorded in the autumn of 2019 mostly due to water erosion of the loess areas. Erosion has been caused by the short-term heavy rainfall. As a result, suspended solids, soluble and insoluble phosphorus compounds leaked to the river.

Go to article

Authors and Affiliations

Agnieszka W. Kowalczyk
ORCID: ORCID
Marek Kopacz
ORCID: ORCID
Download PDF Download RIS Download Bibtex

Abstract

The paper discusses political philosophy of Bogusław Wolniewicz. The leading idea of his general philosophy was rationalism of a specific type that he called ‘tychistic’ (meaning ‘based on fate’), or ‘transcendental’ (meaning ‘transgressing the limits of nature by reliance on human reason’). This self-description presents Wolniewicz as an author respecting his Christian background, though personally he did not espouse the complete body of precepts postulated by the Church. As a nonconfessional catholic he spoke in favor of Christian civilization which he identified with Western culture. This led him to the reject of liberalism, libertarianism and leftist ideologies. He wanted to be perceived as a democrat who supported civil and republican democracy based on the virtue of patriotism. He emphasized the essentiality of the possession of its own political state by each independent nation, and the most important circle of loyalty was for him a national community. Thus he undertook to defend a conception of cautious xenophobia that was expurgated of hate but dedicated to the defense of a national territory.

Go to article

Authors and Affiliations

Jacek Bartyzel

This page uses 'cookies'. Learn more