Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 55
items per page: 25 50 75
Sort by:
Download PDF Download RIS Download Bibtex

Abstract

The possibility of producing 3-aminobenzyl alcohol and 3-aminobenzaldehyde by oxidation of 3-aminotoluene with ozone in the solution of acetic anhydrite in the presence of manganese (II) acetate, potassium bromide and sulfuric acid has been shown. The catalytic systems for regulating selectivity and depth of substrate oxidation has been developed. The catalytic system Mn(OAc)₂ – Ac₂0 – H₂SO₄ promotes the formation of alcohol (65.5%) and 3- acetylaminobenzylidendiacetate (20.1%) with the system Mn(OAc)₂ – KBr – Ac₂O – H2SO₄ increases oxidation selectivity on the methyl group to 90.8% producing mainly aldehyde (80.8%) The optimum temperature of selective oxidation of 3– aminotoluene with the ozone – air mixture (30°C) which is much lower than that of oxidation by the known methods (120°-240°C) and the optimum rations of the reagents concentrations: for alcohol synthesis – [ArCH3] : [Mn(OAc)₂] : [H₂SO₄] =1 : 0.2 : 2.5; for aldehyde synthesis –[ ArCH3]: [Mn(OAc)₂] : [KBr] aldehyde synthesis – [ArCH3] : [Mn(OAc)₂] : [KBr] : [H₂SO₄] = 1:0.2:2.5 have been determined.
Go to article

Authors and Affiliations

A. Galstyan
G. Galstyan
L. Timoshyna
Download PDF Download RIS Download Bibtex

Abstract

Control failure of pests and selectivity of insecticides to beneficial arthropods are key data for the implementation of Integrated Pest Management (IPM) programs. Therefore, the aim of this study was to assess the control failure likelihood of Plutella xylostella and the physiological selectivity active ingredients to parasitoid Oomyzus sokolowskii (Hymenoptera: Eulophidae) and to predators Polybia scutellaris (Hymenoptera: Vespidae) and Lasiochilus sp. (Hemiptera: Anthocoridae). In bioassays, P. xylostella larvae and O. sokolowskii, P. scutellaris and Lasiochilus sp. adults were used. Concentration-mortality curves of six insecticides for P. xylostella were established. These curves were used to estimate the mortality of P. xylostella at the recommended concentration, in order to check a control failure of insecticides to this pest. Furthermore, the lethal concentration for 90% of populations (LC90) and the half of LC90 were used in bioassays with the natural enemies to determine the selectivity of these insects to insecticides. All tested insecticides showed control failure to P. xylostella, indicated by high LC90 and low estimated mortalities (less than 80%). The cartap insecticide was selective in half of LC90 to Lasiochilus sp. and moderately selective in LC90 and the half of LC90, to Lasiochilus sp. and P. scutellaris, respectively. Deltamethrin was moderately selective in the half of LC90 to predator Lasiochilus sp. Cartap, carbaryl, and deltamethrin reduced the mortality of Lasiochilus sp. in the half LC90. The results also showed that the insecticides methamidophos, carbaryl, parathion methyl and permethrin were not selective to any of the tested natural enemies. The role of insecticides in IPM systems of Brassica crops is discussed based on their control failures to P. xylostella and selectivity to their natural enemies.
Go to article

Authors and Affiliations

Leandro Bacci
Jander Fagundes Rosado
Marcelo Coutinho Picanço
Alfredo Henrique Rocha Gonring
Galdino Tarcísio Visintin da Silva
Julio Claudio Martins
Download PDF Download RIS Download Bibtex

Abstract

The “second generation” of glyphosate-tolerant soybean (GT2 soybean) was developed through a different technique of insertion of the glyphosate-insensitive EPSPs gene, in comparison with “first generation” of glyphosate-tolerant soybean. However, there is not enough information available about glyphosate selectivity in GT2 soybean and the effects on the quality of seeds produced. The aim of this study was to evaluate tolerance to glyphosate and seed quality of soybean cultivar NS 6700 IPRO (GT2) with cp4-EPSPs and cry1Ac genes, after application at post-emergence (V4). The experiment was conducted in a randomized block design with four replicates and seven treatments, or rates of glyphosate (0; 720; 1,440; 2,160; 2,880; 3,600; 4,320 g of acid equivalent − a.e. · ha−1). Assessments were performed for crop injury, SPAD index and variables related to agronomic performance and seed quality. A complementary trial with the same cultivar and treatments in a greenhouse was conducted in a completely randomized design with four replications. Data analysis indicated no significant effect of glyphosate on V4 on agronomic performance and physiological quality of seeds, for two growing seasons. The soybean cultivar NS 6700 IPRO (GT2), with cp4-EPSPs and cry1Ac genes, was tolerant to glyphosate up to the maximum rate applied (4,320 g a.e. · ha−1) at post-emergence (V4). The quality of soybean seeds was not affected by glyphosate up to the maximum rate applied (4,320 g a.e. · ha−1) at post-emergence (V4).

Go to article

Authors and Affiliations

André Felipe Moreira Silva
Alfredo Junior Paiola Albrecht
Leandro Paiola Albrecht
Victor Aparecido Pellicci
Bruno Flaibam Giovanelli
Giovani Apolari Ghirardello
Henrique Rodrigues Milagres Viana
Ricardo Victoria Filho
Download PDF Download RIS Download Bibtex

Abstract

When mineral processing separation results, for either constant or varying quality of the feed, can be approximated on the so-called Fuerstenau upgrading plots with the same one-fitting parameter a, then this parameter can be used as a selectivity indicator. If the equation has a form [...], where [...] stands for recovery of non-useful component in tailing while\ksi is the recovery of useful component in the concentrate, then at the same selectivity of upgrading (constant a) the increase of the useful component in the feed \alfa results in an increased amount of this component in both concentrate \beta and tailing [...] while the ratio of [...] to \beta is linearly dependent on \alfa when \epsilon is constant. Thus, at a constant selectivity a and constant \epsilon an increase in \alfa leads to a greater increase of the considered component in the tailing \theta than in the concentrate \beta.

Go to article

Authors and Affiliations

Magdalena Duchnowska
Jan Drzymała
Download PDF Download RIS Download Bibtex

Abstract

The present study was aimed to evaluate the growth performance and immune response of three genetic lines of Japanese quails. These lines i.e., selected for 4-week body-weight group (WBS), selected for egg number (EBS), and random-bred control (RBC), were selected for three consecutive generations from a base population of 1125 quails. In total, 2700 four-week-old quails from three selected groups were slaughtered in total of four generations (G0 to G3). Effects of selection and generations as well as their interactions were assessed for growth performance and immune response by applying a two-way analysis of variance. Significant means were compared with Duncan’s Multiple Range Test. The statistical analysis showed a significant effect of selection and generations on most of the growth and immune response parameters. WBS in G3 presented significantly higher values of body weight, weight gain, and FCR than RBC and EBS. FCR was better in WBS during G3 than those of EBS and RBC. However, Livability% was highest in RBC while the lowest was noted in G3 of WBS line. Thymus% and spleen% were higher in EBS as compared to RBC and WBS. RBC presented a better B/S ratio and ND titer than those of EBS and WBS. The decreasing trend of ND titer in both lines of WBS and EBS as compared to RBC suggested a decrease in New Castle disease resistance in progressive generations of selection. It was concluded that selection for body weight and egg number has a positive impact on respective traits but negatively affects the immunity in later generations.
Go to article

Bibliography


Ahmad S, Mehmood S, Javed K, Mahmud A, Usman M, Rehman A, Ishaq HM, Hussain J, Ghayas A (2018) Different selection strategies for the improvement of the growth performance and carcass traits of Japanese quails. Braz J Poult Sci 20: 497-506.

Akram M, Hussain J, Sahota AW, Iqbal A, Sultan A (2012) Genetic gain in 4-week body weight through mass selection in 4 close-bred stocks of Japanese quail. Book of Abstracts. 32nd Congress of Zoology, Lahore, Pakistan, pp 140.

Anthony NB, Nestor KE, Bacon WL (1986) Growth curves of Japanese quail as modified by divergent selection for 4 - week body weight. Poult Sci 65: 1825-1833.

Bayyari GR, Huff WE, Rath NC, Balog JM, Newberry LA, Villines JD, Skeeles JK, Anthony NB, Nestor KE (1997) Effect of the genetic selection of turkeys for increased body weight and egg production on immune and physiological responses. Poult Sci 76: 289-296.

Bhatti BM, Sahota AW (1994) Growth performance and carcass quality of different crosses of chickens. Pak Vet J 14: 250-253.

Caron N, Minvielle F, Desmarais M, Poste LM (1990) Mass Selection for 45-Day Body Weight in Japanese Quail: Selection Response, Carcass Composition, Cooking Properties, and Sensory Characteristics. Poult Sci 69: 1037-1045.

Cheema MA, Qureshi MA, Havenstein GB (2003) A comparison of the immune response of a 2001 commercial broiler with a 1957 random-bred broiler strain when fed representative 1957 and 2001 broiler diets. Poult Sci 82: 1519-1529.

Durmus I, Alkan S, Narinc D, Karabag K, Karslı T (2017) Effects of mass selection on egg production on some reproductive traits in Japanese quail. Eur Poult Sci 81: 1-9.

El-Bayomi KM, El-Tarabany MS, Nasr MA, Roushdy EM (2014) Effect of divergent selection for growth on carcass traits in Japanese quails. Zag Vet J 42: 51-56.

El-Nagar SH, Sharaf MM, Mahmoud S, Basha HA (2016) Effect of selection of Japanese quails for rapid growth on immune function. Alex J Vet Sci 49: 85-90.

Faisal BA, Abdel-Fattah SA, El-Hommosany YM, Abdel-Gawad NM, Ali MFM (2008) Immunocompetence, hepatic heat shock protein 70 and physiological responses to feed restriction and heat stress in two body weight lines of Japanese quail. Int J Poult Sci 7: 174-183.

Ghayas A, Hussain J, Mahmud A, Javed K, Rehman A, Ahmad S, Mehmood S, Usman M, Ishaq HM (2017) Productive performance, egg quality, and hatching traits of Japanese quail reared under different levels of glycerin. Poult Sci 96: 2226-2232.

Havenstein GB, Ferket PR, Scheideler SE, Larson BT (1994) Growth, livability, and feed conversion of 1957 vs 1991 broilers when fed “typical” 1957 and 1991 broiler diets. Poult Sci 73: 1785-1794.

Hussain J (2014) Response to Selection for three week body weight in Japanese quail for three generations. Ph.D. Thesis. Department of Poultry Production, University of Veterinary and Animal Sciences, Lahore, Pakistan pp 13.

Hussain J, Akram M, Sahota AW, Javed K, Ahmad HA, Mehmood S, Ahmad S, Sulaman R, Rabbani I, Jatoi AS (2013) Selection for higher three-week body weight in Japanese quail: 1. Effect on growth performance. J Anim Plant Sci 23: 1496-1500.

Hussain J, Akram M, Sahota AW, Javed K, Ahmad HA, Mehmood S, Jatoi AS, Ahmad S (2014) Selection for higher three weeks body weight in Japanese quail: 2. Estimation of genetic parameters. J Anim Plant Sci 24: 869-873.

Jatoi AS, Sahota AW, Akram M, Javed K, Jaspal MH, Hussain J, Mirani AH, Mehmood S (2013) Effect of different body weight categories on the productive performance of four closebred flocks of Japanese quails (Coturnix coturnix japonica). J Anim Plant Sci 23: 7-13.

Kankova Z, Drozdova A, Klobetzova Z, Lichovnikova M, Zeman M (2019) Development and reactivity of the immune system of Japanese quail lines divergently selected for the shape of the growth curve. Br Poult Sci 60: 700-707.

Kapczynski DR, Afonso CL, Miller PJ (2013) Immune responses of poultry to Newcastle disease virus. Dev Comp Immunol 41: 447-453.

Khaldari M, Pakdel A, Yegane M, Javaremi AN, Berg P (2010) Response to selection and genetic parameters of body and carcass weights in Japanese quail selected for 4- week body weight. Poult Sci 89: 1834-1841.

Koenen ME, Boonstra-Blom AG, Jeurissen SH (2002) Immunological differences between layer and broiler-type chickens. Vet Immun Im-munopathol 89: 47-56.

Li Z, Nestor KE, Saif YM, Anderson JW, Patterson RA (2001) Effect of selection for increased body weight in turkeys on lymphoid organ weights, phagocytosis, and antibody responses to fowl cholera and Newcastle disease-inactivated vaccines. Poult Sci 80: 689-694.

Mohammed MS, Gupta BR, Narasimha RG, Rajasekhar RA (2006) Genetic evaluation of the performance of Japanese quails. Indian J Poult Sci 41: 129-133.

Narinç D, Aksoy T (2012) Effects of mass selection based on phenotype and early feed restriction on the performance and carcass characteris-tics in Japanese quails. Kafkas Uni Vet Fak Derg 18: 425-430.

Nestor K, Bacon WL (1982) Divergent selection for body weight and yolk precursor in Cotournix cotournix Japonica. 3. Correlated responses in mortality, reproduction traits and adult body weight. Poult Sci 61: 2137-2142.

Parks JR (1971) Phenomenology of animal growth. NC State Univ, Raleigh.

Paxton H, Anthony NB, Corr SA, Hutchison JR (2010) The effects of selective breeding on the architectural properties of the pelvic limb in broiler chickens: a comparative study across modern and ancestral populations. J Anat 217: 153-166.

Paxton H, Daley MA, Corr SA, Hutchinson JR (2013) The gait dynamics of the modern broiler chicken: a cautionary tale of selective breed-ing. J Exp Biol 216: 3237-3248.

Pym RAE (1990) Nutritional genetics. In: Poultry breeding and genetics. Crawford RD, Elsevier Amsterdam, pp 209-237.

Rauw WM (2012) Immune response from a resource allocation perspective. Front Genet 3: 267.

Van der Most PJ, De Jong B, Parmentier HK, Verhulst S (2011) Trade-off between growth and immune function: a meta analysis of selection experiments. Funct Ecol 25: 74-80.
Go to article

Authors and Affiliations

A. Rehman
1
J. Hussain
1
A. Mahmud
2
K. Javed
3
A. Ghayas
1
S. Ahmad
1

  1. Department of Poultry Production, Faculty of Animal Production and Technology, University of Veterinary and Animal Sciences, Lahore, Pakistan, 54000
  2. Department of Poultry Production, Faculty of Animal Production and Technology,University of Veterinary and Animal Sciences, Lahore, Pakistan, 54000
  3. Department of Livestock Production, Faculty of Animal Production and Technology, University of Veterinary and Animal Sciences, Lahore, Pakistan, 54000
Download PDF Download RIS Download Bibtex

Abstract

The problem of query selectivity estimation for database queries is critical for efficientquery execution by database management systems. A query execution method strongly depends on earlyestimated size of a query result. This estimation determines a data access method used later during thequery execution. The selectivity parameter is a fraction of table rows that satisfy a single-table querycondition. For a selection condition of a range query where an attribute has a continuous domain, theselectivity is equivalent to a definite integral form probability density function (PDF) of attribute valuesdistribution. For a compound selection condition based on many attributes we need a multidimensionalspace-efficient non-parametric estimator of multivariate PDF of attribute values distribution. A knownapproach based on Discrete Cosine Transform (DCT) spectrum as an representation of multidimensionalPDF is considered. The energy compaction property of DCT lets omit a region of spectrum coefficientswith small absolute values without significant losing an accuracy of selectivity estimation. An area ofrelevant spectrum coefficients is called a sampling zone. Results of experiments from previous worksshows that applying the reciprocal shape of the sampling zone gives the least selectivity estimation errorsubject to a predetermined size of the zone. The main result of this work is a theoretical confirmation of onlyexperimental results from previous works. The paper presents the proof of the theorem that the reciprocalshape of the sampling zone is asymptotically error-optimal. The proof is based on calculus of variationsand the isoperimetric problem.

Go to article

Authors and Affiliations

Dariusz R. Augustyn
Download PDF Download RIS Download Bibtex

Abstract

Semiconductive - resistive sensors of toxic and explosive gases were fabricated from nanograins of SnO2 using thick-.lm technology. Sensitivity, selectivityand stabilityof sensors working in di.erent temperature depend on the way the tin dioxide and additives were prepared. A construction also plays an important role. The paper presents an attitude towards the evaluation of transport of electrical charges in semiconductive grain layer of SnO2, when dangerous gases appear in the surrounding atmosphere.

Go to article

Authors and Affiliations

B. Licznerski
Download PDF Download RIS Download Bibtex

Abstract

The efficient, stable and reliable operation of the blast furnace secures the proper quality of coke, which is one of the basic components of the blast furnace charge. In modern blast-furnace technology, when using substitute fuels, i.e. coal dust, the role of coke is extremely important. For this reason, the demands placed on its quality increase. Domestic coking plants have a limited base of Polish high quality coking coals at their disposal, therefore the full use of their coking properties is extremely important. The grain composition of the coal blend is one of the basic factors affecting the quality of the produced coke. This influence depends on the quantity and quality of coal components that make up the blend. In the conducted research, 21 coking coals, differing significantly in the degree of rank and origin (Polish and overseas coals), it was shown that the separated grain classes differ in properties, both coking properties and the degree of devolatalization during heating. In analyzing the obtained results, it was observed that the grain volume growth occurs essentially in the temperature range between the beginning and the maximum of fluidity. It has been shown that there is a linear correlation between the temperature corresponding to maximum fluidity and the temperature at which the maximum rate of evolution of volatiles enters. The presented phenomena accompany the emergence of coal expansion pressure during the coking process and they are its primary causes. The presented results can be an important guide for preparing the milling of coal for the coking process.

Go to article

Authors and Affiliations

Bartosz Mertas
Marek Ściążko
Download PDF Download RIS Download Bibtex

Abstract

Lateritic nickel ore is used for producing of ferronickel. Nickel grade in ferronickel ranged from 20–40%. Ferronickel is commonly used to manufacture stainless steel. A new method that can increase the levels of nickel grade is selective reduction, which is a process to reduce the metal oxide to the metallic phase with the addition of additives. In this work, the selective reduction of limonitic nickel ore was carried out by add the 5 wt%, 10 wt%, and 15 wt% of reductant and the 10 wt% of sulfur as additive. The process of selective reduction is performed at temperatures of 950, 1050, and 1150°C with the duration of processs of 60, 90, and 120 minutes, followed by magnetic separation to separate between the concentrate and tailings. The characterization used AAS, XRD, and SEM-EDS for grade and recovery; phases transformation; and the microstructure analysis. The optimum of the grade and recovery of nickel was obtained at a temperature of 1050°C with the duration of process of 60 minutes and 5 wt% of reductant and 10 wt% of additive, which obtain 3.72 wt% and 95.67%. The metal grade and recovery was increase with the increasing of temperature reduction. Nevertheless, too long of the duration of process and too many reductant addition resulted in negative effect on selective reduction of lateritic nickel ore. Highest recovery could get more nickel in the process. And sulfur has the important rules when the selective reduction has been done on the increasing nickel content, the forming of FeS, and decreasing the grain size of ferronickel according to the microstructure in the SEM images around ~30 μm.
Go to article

Bibliography

Cao et al. 2010 – Cao, Z.C., Sun, T.C., Yang, H.F., Wang, J.J. and Wu, X.D. 2010. Recovery of iron and nickel from nickel laterite ore by direct reduction roasting and magnetic separation. Chinese Journal of Engineering 32(6), pp. 708–712, DOI: 10.13374/j.issn1001-053x.2010.06.004.
Dalvi et al. 2004 – Dalvi, A.D., Bacon, W.G. and Osborne R.C. 2004. The Past and The Future of Nickel Laterites. PDAC 2004 International Conference Trade Show and Investors Exchange, Toronto, Canada.
Elliot et al. 2015 – Elliot, R., Rodrigues, F., Pickles, C.A. and Peace, J. 2015. A two-stage process for upgrading thermal nickeliferous limonitic laterite ores. Canadian Metallurgical Quarterly 54(4), pp. 235–252, DOI: 10.1179/1879139515Y.0000000009.
Elliot et al. 2017 – Elliot, R., Pickles, C.A. and Peace, J. 2017. Ferronickel particle formation during the carbothermic reduction of a limonitic laterite ore. Minerals Engineering 100, pp. 166–176, DOI: 10.1016/j.mineng.2016.10.020.
Foster et al. 2016 – Foster, J., Pickles, C.A. and Elliot, R. 2016. Microwave carbhotematic reduction roasting of low-grade ore nickeliferous silicate laterite. Minerals Engineering 88, pp. 18–27, DOI: 10.1016/j.mineng.2015.09.005.
Jiang et al. 2013 – Jiang, M., Sun, T., Liu, Z., Kou, J., Liu, N. and Zhang, S. 2013. Mechanism of sodium sulfate in promoting the selective reduction of nickel laterite ore during reduction roasting process. International Journal of Mineral Processing 123, pp. 32–38, DOI: 10.1016/j.minpro.2013.04.005.
Li et al. 2012 – Li, G., Shi, T., Rao, M., Jiang, T. and Zhang, Y. 2012. Beneficiation of nickeliferous laterite by reduction roasting in the presence of sodium sulfate. Minerals Engineering 32, pp. 19–26, DOI: 10.1016/J.MINENG.2012.03.012.
Prasetyo, A.B. and Puguh. 2011. Increased levels of nickel (Ni) and iron (Fe) from laterite ore saprolite type low levels for raw materials containing nickel pig iron (NCPII/NPI). Met. Mag. 26, pp. 123–130.
Prasetyo, A.B. and Firdiyono, F.E. 2014. Reduction process optimization laterite ore limonite as raw materials type NPI (Nickel Pig Iron). Majalah Metalurgi 29(1), pp. 9–16.
Valix and Cheung. 2002. Effect of sulfur on the mineral phases of laterite ores at a high-temperature reduction. Minerals Engineering 15, pp. 523–530.
Wang et al. 2017 – Wang, Chu, Z., Liu, M., Wang, H., Zhao, W. and Gao, L. 2017. Preparing ferronickel alloy from low-grade laterite nickel ore reduction based on metallized-magnetic separation. Metals 7(8), pp. 313, DOI: 10.3390/met7080313.
Go to article

Authors and Affiliations

Fathan Bahfie
1
ORCID: ORCID
Achmad Shofi
2
Ulin Herlina
1
Anton S. Handoko
1
Nanda A. Septiana
3
Syafriadi Syafriadi
3
Suharto Suharto
1
Sudibyo Sudibyo
1
Suhartono Suhartono
4
Fajar Nurjaman
1

  1. Research Unit for Mineral Technology, National Research and Innovation Agency of Indonesia, Jalan Ir. Sutami Km 15 South Lampung, Lampung, Indonesia
  2. Agency for Rembang Regional Planning and Development, Rembang Local Government, Indonesia
  3. Department of Physic-University of Lampung,Jl. Prof. Dr. Ir. Sumantri Brojonegoro No. 1, Gedong Meneng, Kec. Rajabasa, Kota Bandar Lampung, Indonesia
  4. Chemical Engineering Department, University of Jenderal Achmad Yani, Jalan Terusan Jend. Sudirman, Cibeber, Kec. Cimahi Sel., Kota Cimahi, Jawa Barat, Indonesia
Download PDF Download RIS Download Bibtex

Abstract

Similarly to many towns in Galicia, Rzeszów has gained street planting at the turn of the 19th and 20th centuries. In the period after World War II, little attention was paid to them. It is only from the beginning of the first decade of the 21st century, that we have seen a clear breakthrough. “Modernized” forms of planting are returning to historical places, and new communication arteries are planted with numerous specimens of tree, perennial and seasonal plants, well selected in terms of habitat requirements.

Go to article

Authors and Affiliations

Zbigniew W. Czerniakowski
Marta Gargała-Polar
Download PDF Download RIS Download Bibtex

Abstract

According to the literature, the importance of executive functions in everyday life, in the acquisition of motor skills, and in distinguishing cognitive performance of athletes and non-athletes is indisputable. Aim: The aim of this study was to investigate the effect of transcranial direct-current stimulation (tDCS) on inhibitory and interference control in athletes and non-athletes. Methods: Athletes and non-athletes were conveniently selected (N=48, age range: 18-30 years). Then, each group (athletes/non-athletes) was randomly divided into two groups: real and Sham stimulation. Real stimulation group was involved in sessions of stimulation with an intensity of 2 mA electric current applied for 20 minutes in three sessions. But Sham group was received stimulation only at the first 30 second in each session. The inhibition score in “Go/No Go” task and average response time in the Stroop's task were evaluated before and after three sessions of stimulation for real and Sham groups. Results: The results on inhibitory control variable showed that the difference between the two groups (real and Sham groups) was significant in the post-test (p ≤ .05). The results on interference control variable showed that real stimulation compared to other group had a better performance. Conclusion: The present findings showed that tDCS improves performance in inhibitory and interference control tasks in athletes compared with non-athletes.
Go to article

Authors and Affiliations

Asieh Shabahang
1
Rasool Abedanzadeh
1
ORCID: ORCID
Hesam Ramezanzadeh
2

  1. Shahid Chamran University of Ahvaz, Ahvaz, Iran
  2. Damghan University, Damghan, Iran
Download PDF Download RIS Download Bibtex

Abstract

The high sensitivity of beans to herbicides is one of the limiting factors regarding the management of dicot weeds in bean crops. Protoporphyrinogen oxidase (PPO) inhibition is an important mechanism of action that has unregistered molecules with potential use in bean crops. The objectives of this study were to investigate the tolerance of Brazilian bean cultivars to distinct PPO inhibitors and to determine the existence of cross-tolerance in cultivars to the different PPO inhibitor chemical groups. In the first and second experiments, the BRSMG Talismã, Jalo Precoce, BRS Esplendor, and IPR 81 cultivars were subjected to saflufenacil doses pre- (0, 9.6, 14.1, 20.5, 30.0, and 43.8 g a.i. ‧ ha–1) and post-emergence (0, 0.7, 1.0, 1.5, 2.1, and 3.1 g a.i. ‧ ha–1). In the third experiment, the tolerance of 28 bean genotypes to saflufenacil (20.5 g a.i. ‧ ha–1) in pre-emergence was determined. In the fourth, fifth, sixth and seventh experiments, we investigated the cross-tolerance of bean to the fomesafen, flumioxazin, sulfentrazone, and saflufenacil herbicides, respectively. Even very low saflufenacil doses in post-emergence caused plants of all cultivars to die rapidly; therefore, the tolerance was much lower at this application time than in pre-emergence. There was high tolerance variability to saflufenacil among the 28 cultivars. The bean tolerance to fomesafen, flumioxazin, sulfentrazone, and saflufenacil applied pre-emergence depended on the cultivar and dose. Fomesafen was highlighted owing to its higher selectivity in relation to the different cultivars. No cross-tolerance pattern to the PPO inhibitor chemical groups applied in pre-emergence was observed among the evaluated bean cultivars. The results of this study could be of significance to farmers and technical assistance personnel, as well as for future research on cultivar breeding and the elucidation of biochemical and genetic mechanisms involved in herbicide tolerance.
Go to article

Authors and Affiliations

Antonio Pedro Brusamarello
1
Michelangelo Muzell Trezzi
1
Fortunato de Bortoli Pagnoncelli Júnior
1
Paulo Henrique de Oliveira
1
Taciane Finatto
1
Marcos Vinícius Jaeger Barancelli
1
Bruno Alcides Hammes Schmalz
1
Patrícia Bortolanza Pereira
1

  1. Department of Agronomy, Federal Technological University of Paraná (UTFPR), Brazil
Download PDF Download RIS Download Bibtex

Abstract

The paper considers the problem of increasing the generalization ability of classification systems by creating an ensemble of classifiers based on the CNN architecture. Different structures of the ensemble will be considered and compared. Deep learning fulfills an important role in the developed system. The numerical descriptors created in the last locally connected convolution layer of CNN flattened to the form of a vector, are subjected to a few different selection mechanisms. Each of them chooses the independent set of features, selected according to the applied assessment techniques. Their results are combined with three classifiers: softmax, support vector machine, and random forest of the decision tree. All of them do simultaneously the same classification task. Their results are integrated into the final verdict of the ensemble. Different forms of arrangement of the ensemble are considered and tested on the recognition of facial images. Two different databases are used in experiments. One was composed of 68 classes of greyscale images and the second of 276 classes of color images. The results of experiments have shown high improvement of class recognition resulting from the application of the properly designed ensemble.
Go to article

Authors and Affiliations

Robert Szmurło
1
ORCID: ORCID
Stanislaw Osowski
2
ORCID: ORCID

  1. Faculty of Electrical Engineering, Warsaw University of Technology, Koszykowa 75, 00-662 Warszawa, Poland
  2. Faculty of Electronic Engineering, Military University of Technology, gen. S. Kaliskiego 2, 00-908 Warszawa, Poland
Download PDF Download RIS Download Bibtex

Abstract

The paper presents the fusion approach of different feature selection methods in pattern recognition problems. The following methods are examined: nearest component analysis, Fisher discriminant criterion, refiefF method, stepwise fit, Kolmogorov-Smirnov criteria, T2-test, Kruskall-Wallis test, feature correlation with class, and SVM recursive feature elimination. The sensitivity to the noisy data as well as the repeatability of the most important features are studied. Based on this study, the best selection methods are chosen and applied in the process of selection of the most important genes and gene sequences in a dataset of gene expression microarray in prostate and ovarian cancers. The results of their fusion are presented and discussed. The small selected set of such genes can be treated as biomarkers of cancer.
Go to article

Bibliography

  1.  I. Guyon and A. Elisseeff, “An introduction to variable and feature selection”, J. Mach. Learn. Res. 3, 1158–1182 (2003).
  2.  I. Guyon, A.J. Weston, S. Barnhill, and V. Vapnik, “Gene selection for cancer classification using SVM”, Mach. Learn. 46, 389‒422 (2003).
  3.  P.N. Tan, M. Steinbach, and V Kumar, Introduction to data mining, Boston, Pearson Education Inc., 2006.
  4.  H. Chen, Y. Zhang, and I. Gutman, “A kernel-based clustering method for gene selection with gene expression data”, J. Biomed. Inf orm. 62, 12‒20 (2016).
  5.  P. Das, A. Roychowdhury, S. Das, S. Roychoudhury, and S. Tripathy, “sigFeature: novel significant feature selection method for classification of gene expression data using support vector machine and t statistic”, Front. Genet. 11, 247 (2020), doi: 10.3389/fgene.2020.00247.
  6.  A. Wiliński and S. Osowski, “Ensemble of data mining methods for gene ranking”, Bull. Pol. Acad. Sci. Tech. Sci. 60, 461‒471 (2012).
  7.  H. Mitsubayashi, S. Aso, T. Nagashima, and Y. Okada, “Accurate and robust gene selection for disease classification using simple statistics, Biomed. Inf orm. 391, 68–71 (2008).
  8.  J. Xu, Y. Wang, K. Xu, and T. Zhang, “Feature genes selection using fuzzy rough uncertainty metric for tumour diagnosis”, Comput. Math. Method Med. 2019, 6705648 (2019), doi: 10.1155/2019/6705648.
  9.  B. Lyu and A. Haque, “Deep learning based tumour type classification using gene expression data”, bioRxiv, p. 364323 (2018), doi: 10.1101/364323.
  10.  F. Yang, “Robust feature selection for microarray data based on multi criterion fusion”, IEEE Trans. Comput. Biol. Bioinf . 8(4), 1080–1092 (2011).
  11.  M. Muszyński and S. Osowski, “Data mining methods for gene selection on the basis of gene expression arrays”, Int. J. .Appl. Math. Comput. Sci. 24(3), 657‒668 (2014).
  12.  T. Latkowski and S. Osowski, “Data mining for feature selection in gene expression autism data”, Expert Syst. Appl. 42(2), 864‒872 (2015).
  13.  Matlab user manual. Natick (USA): MathWorks: (2020).
  14.  P. Sprent, and N.C. Smeeton, Applied Nonparametric Statistical Methods. Boca Raton, Chapman & Hall/CRC, 2007.
  15.  R.O. Duda, P.E. Hart, and P. Stork, Pattern Classif ication and Scene Analysis, New York: Wiley, 2003.
  16.  Exxact. [Online]. https://blog.exxactcorp.com/scikitlearn-vs-mlr-for-machine-learning/
  17.  Tutorialspoint. [Online]. https://www.tutorialspoint.com/weka/weka_feature_selection.htm
  18.  R. Robnik-Sikonja, and I. Kononenko, “Theoretical and empirical analysis of Relief ”, Mach. Learn. 53, 23‒69 (2003).
  19.  W. Yang, K. Wang, and W. Zuo. “Neighborhood Component Feature Selection for High-Dimensional Data”, J. Comput. 7(1), 161‒168 (2012).
  20.  L. Breiman, “Random forests”, Mach. Learn. 45, 5–32 (2001).
  21.  NCBI database. [Online]. http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS4431, (2011).
  22. http://discover1.mc.vanderbilt.edu/discover/public/mcsvm/
  23. http://sdmc.lit.org.sg/GEDatasets/Datasets.html
  24.  F. Gil and S. Osowski, “Feature selection methods in gene recognition problem”, in Proc. on-line Conf erence Computatational Methods in Electrical Engineering, 2020, pp. 1‒4.
Go to article

Authors and Affiliations

Fabian Gil
1
Stanislaw Osowski
1 2
ORCID: ORCID

  1. Warsaw University of Technology, Pl. Politechniki 1, 00-661 Warsaw, Poland
  2. Military University of Technology, ul. gen. Sylwestra Kaliskiego 2, 00-908 Warsaw, Poland
Download PDF Download RIS Download Bibtex

Abstract

Materials play an important role in determining the quality and cost of a building, especially in the context of Vietnam’s rapid urbanization today. This study aims to analyze the status quo for supplier selection for construction projects in a developing country, Vietnam. Questionnaires are designed to conduct a survey among several contractors to assess the current situation of how Vietnamese construction enterprises select their material suppliers. Senior managers, project managers, site commanders, site engineers, foreman, office staff of contractors were interviewed. Based on result analysis of 117 valid responses, the most important criteria to consider when selecting material suppliers have been identified, with the most influential ones being price, delivery time, and material quality. However, the supply of materials still reveals some constraints that must be overcome. Vietnamese construction firms should pay more attention to supplier selection to optimize material delivery efficiency. This research contributes to the understanding of the status quo for supplier selection for construction projects in a developing country. This means contractors can adopt suitable measures to select material suppliers for construction projects.
Go to article

Authors and Affiliations

Nguyen Quoc Toan
1
ORCID: ORCID
Hanh Nguyen Thi My
1
ORCID: ORCID
Nguyen Van Tam
1
ORCID: ORCID
Pham Xuan Anh
1
ORCID: ORCID
Dinh Tuan Hai
2
ORCID: ORCID
Nguyen Thi Thuy
1
ORCID: ORCID

  1. Hanoi University of Civil Engineering, Faculty of Construction Economics and Management, No. 55 Giai Phong Street, Hai Ba Trung District, Hanoi, Vietnam
  2. Hanoi Architectural University, Faculty of Civil Engineering, Km 10, Nguyen Trai Street, Thanh Xuan District, Hanoi City, Vietnam
Download PDF Download RIS Download Bibtex

Abstract

The paper presents the experience of using the ŁPrP, ŁPKO, ŁPSp, ŁPSpA i ŁPSp3R types of flattened supports for longwall entries in the conditions of the JSW S.A. Knurów-Szczygłowice coal mine. The article concentrates on the support solutions applied in the conditions of the mine and the results in terms of stability and usefulness of the structures of the supports. An analysis of the load bearing capacity and technological conditions has been conducted for various flattened supports solutions, with special consideration given to the ŁPSp and ŁPrPJ support sets. Comparing these two, the ŁPSp exhibits a load bearing capacity that is 21% higher while using 31% less steel mass. The experiment results allowed to determine that the ŁPSpA and ŁPSp3R support types are an advantageous solutions in case of longwall set-up rooms.

Go to article

Authors and Affiliations

Piotr Głuch
Grzegorz Michalik
Tomasz Śledź
Piotr Kleibert
Adam Ratajczak
Jarosław Sobik
Download PDF Download RIS Download Bibtex

Abstract

A steady global decline in the grade of chromite ores is causing an increase in the mining of low grade and complex ores. The processing of such low grade and finely disseminated ores results in the increased production of primary and secondary slimes. Slimes have very poor recovery performance in most conventional technology and are usually disposed of into tailings storage facilities (TSF). The historic slimes in the TSFs and those arising from most chrome production processes constitute potential recoverable chrome resources. In this study, the selective flocculation of slimes from a chrome processing plant in the north west province of South Africa was conducted using raw corn starch and sodium oleate as flocculants and sodium silicate a dispersant was applied on. Limited work has been reported on the flocculation of non-synthetic chrome slimes. The results showed that a slime sample with a chrome (Cr2O3) head grade of 22.92% was upgraded to a maximum concentrate grade of 42.55% at a sodium oleate dosage of 88 g/tonslurry, a sodium silicate dosage of 44 g/tonslurry, 39.61% at a starch dosage of 106 g/tonslurry and sodium silicate dosage of 62 g/tonslurry. The corresponding recoveries using sodium oleate as a flocculent were between 80–89% and 73–79% for starch. Sodium oleate showed a better performance than starch in terms of both grade and recovery. Decantation washing tests showed that the chrome (Cr2O3) grade of the concentrate can be further increased to above 44%. These results are very encouraging as they indicate that selective flocculation can achieve satisfactory upgrade ratios and recovery when processing chrome ultrafine or slime material.
Go to article

Authors and Affiliations

Vusumuzi Sibanda
1
Lehana Makara
1
Lerato Sebose
1
Thulaganyo Setimo
1
Tirivaviri Auguatine Mamvura
2
ORCID: ORCID
Gwiranai Danha
2

  1. University of the Witwatersrand; South Africa
  2. Botswana International University of Science and Technology; Botswana
Download PDF Download RIS Download Bibtex

Abstract

Snoring is a typical and intuitive symptom of the obstructive sleep apnea hypopnea syndrome (OSAHS), which is a kind of sleep-related respiratory disorder having adverse effects on people’s lives. Detecting snoring sounds from the whole night recorded sounds is the first but the most important step for the snoring analysis of OSAHS. An automatic snoring detection system based on the wavelet packet transform (WPT) with an eXtreme Gradient Boosting (XGBoost) classifier is proposed in the paper, which recognizes snoring sounds from the enhanced episodes by the generalization subspace noise reduction algorithm. The feature selection technology based on correlation analysis is applied to select the most discriminative WPT features. The selected features yield a high sensitivity of 97.27% and a precision of 96.48% on the test set. The recognition performance demonstrates that WPT is effective in the analysis of snoring and non-snoring sounds, and the difference is exhibited much more comprehensively by sub-bands with smaller frequency ranges. The distribution of snoring sound is mainly on the middle and low frequency parts, there is also evident difference between snoring and non-snoring sounds on the high frequency part.
Go to article

Authors and Affiliations

Li Ding
1
Jianxin Peng
1
Xiaowen Zhang
2
Lijuan Song
2

  1. School of Physics and Optoelectronics, South China University of Technology, Guangzhou, China
  2. State Key Laboratory of Respiratory Disease, Department of Otolaryngology-Head and Neck Surgery Laboratory of ENT-HNS Disease, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
Download PDF Download RIS Download Bibtex

Abstract

Research in additive manufacturing of tungsten carbide-cobalt has intensified over the last few years due to the increasing need for products designed using topology optimisation and multiscale structures (lattice). These products result in complex shapes and contain inner structures that are challenging to produce through conventional techniques, thus involving high costs. The present work addresses this problem using a two-step approach to 3D print parts with complex shapes and internal structures by employing indirect selective laser sintering (SLS) and tungsten carbide-cobalt sintering. The paper takes further our research in this field [1] to improve the part density by using high bulk density tungsten carbide-cobalt powders. Mechanically mixing tungsten carbide-cobalt with the sacrificial binder, polyamide 12, results in a homogenous powder successfully used by the selective laser sintering process to produce green parts. By further processing, the green parts through a complete sintering cycle, an average final part density of 11.72 g/cm3 representing more than 80% of the theoretical density is achieved.
Go to article

Authors and Affiliations

R.V. Gădălean
1 2
ORCID: ORCID
O.-D. Jucan
3
ORCID: ORCID
H.F. Chicinaş
2 3
ORCID: ORCID
N. Bâlc
1
ORCID: ORCID
C.O. Popa
3
ORCID: ORCID

  1. Technical University of Cluj-Napoca, Department of Manufacturing Engineering, 103-105, Muncii Avenue, 400641 Cluj-Napoca, Romania
  2. Gühring Romania, 32 Constructorilor Street, 407035 Apahida, Romania
  3. Technical University of Cluj-Napoca, Materials Science and Engineering Department, 103-105, Muncii Avenue, 400641 Cluj-Napoca, Romania
Download PDF Download RIS Download Bibtex

Abstract

In this article, first, we analyse the opposition of two linguistic models in dubbing in Spanish language – Latin American Spanish vs. Castilian Spanish – and consider the issue of Spanish lexical variation related to audiovisual translation. Next, we carry out a comparative analysis of the lexical characteristics of the two dubbing versions in Spanish language of the film Beauty and the Beast (1992). The analysis focuses on lexical density, marked and standard lexicon and the differential lexicon of both versions.
Go to article

Authors and Affiliations

Antonio María López González
1
ORCID: ORCID

  1. Uniwersytet Łódzki
Download PDF Download RIS Download Bibtex

Abstract

Selective deposition was performed on a micrometer trench pattern using a microcontact printing (μCP) process. Alkanethiols required for selective deposition were analyzed according to the carbon chain by linear sweep voltammetry (LSV). According to the LSV analysis, the effect of inhibiting Cu deposition depending on the length of the carbon chain was observed. During the Cu electrodeposition, the trench could be filled without voids by additives (PEG, SPS, JGB) in the plating solution. A μCP process suppressing the deposition of the sample was used for selective Cu electrodeposition. However, there was oxidation and instability of the sample and 1-hexadecanethiol in air. To overcome these problems, the μCP method was performed in a glove box to achieve effective inhibition.
Go to article

Bibliography

[1] P.C. Andricacos, C. Uzoh, J.O. Dukovic, J. Horkans, H. Deligianni, Damascene copper electroplating for chip interconnections, IBM Journal of Research and Development 42 (1998) 567-574.
[2] S.-Y. Chang, C.-W. Lin, H.-H. Hsu, J.-H. Fang, S.-J. Lin, Integrated Electrochemical Deposition of Copper Metallization for Ultralarge-Scale Integrated Circuits, Journal of The Electrochemical Society 151, C81 (2004).
[3] M.J. Kim, Y. Seo, H.C. Kim, Y. Lee, S. Choe, Y.G. Kim, S.K. Cho, J.J. Kim, Galvanostatic bottom-up filling of TSV-like trenches: Choline-based leveler containing two quaternary ammoniums, Electrochimica Acta 163, 174-181 (2015).
[4] V .S. Rao, C.T. Chong, D. Ho, D.M. Zhi, C.S. Choong, L.P.S. Sharon, D. Ismael, Y.Y. Liang, Development of High Density Fan Out Wafer Level Package (HD FOWLP) with Multi-layer Fine Pitch RDL for Mobile Applications, in: 2016 IEEE 66th Electronic Components and Technology Conference (ECTC), 1522-1529 (2016).
[5] F.I. Lizama-Tzec, L. Canché-Canul, G. Oskam, Electrodeposition of copper into trenches from a citrate plating bath, Electrochimica Acta, 56, 9391-9396 (2011).
[6] T.P. Moffat, J.E. Bonevich, W.H. Huber, A. Stanishevsky, D.R. Kelly, G.R. Stafford, D. Josell, Superconformal Electrodeposition of Copper in 500–90 nm Features, Journal of The Electrochemical Society 147, 4524 (2000).
[7] F.Q. Liu, T. Du, A. Duboust, S. Tsai, W.-Y. Hsu, Cu Planarization in Electrochemical Mechanical Planarization, Journal of The Electrochemical Society 153, C377 (2006).
[8] S. Deshpande, S.C. Kuiry, M. Klimov, Y. Obeng, S. Seal, Chemical Mechanical Planarization of Copper: Role of Oxidants and Inhibitors, Journal of The Electrochemical Society 151, G788 (2004).
[9] F.B. Kaufman, D.B. Thompson, R.E. Broadie, M.A. Jaso, W.L. Guthrie, D.J. Pearson, M.B. Small, Chemical‐Mechanical Polishing for Fabricating Patterned W Metal Features as Chip Interconnects, Journal of The Electrochemical Society 13, 3460- 3465 (1991).
[10] N.B. Larsen, H. Biebuyck, E. Delamarche, B. Michel, Order in Microcontact Printed Self-Assembled Monolayers, Journal of the American Chemical Society 119, 3017-3026 (1997).
[11] S.H. Lee, W.-Y. Rho, S.J. Park, J. Kim, O.S. Kwon, B.-H. Jun, Multifunctional self-assembled monolayers via microcontact printing and degas-driven flow guided patterning, Scientific Reports 8, 16763 (2018).
[12] T.E. Balmer, H. Schmid, R. Stutz, E. Delamarche, B. Michel, N.D. Spencer, H. Wolf, Diffusion of alkanethiols in PDMS and its implications on microcontact printing (μCP), Langmuir 21, 622-632 (2005).
[13] M. Hasegawa, Y. Negishi, T. Nakanishi, T. Osaka, Effects of additives on copper electrodeposition in submicrometer trenches, Journal of The Electrochemical Society 152, C221 (2005)
[14] M.H. Schoenfisch, J.E. Pemberton, Air Stability of Alkanethiol Self-Assembled Monolayers on Silver and Gold Surfaces, Journal of the American Chemical Society 120, 4502-4513 (1998).
[15] N.T. Flynn, T.N.T. Tran, M.J. Cima, R. Langer, Long-term stability of self-assembled monolayers in biological media, Langmuir 19, 10909-10915 (2003).
Go to article

Authors and Affiliations

Jinyong Shim
1
ORCID: ORCID
Jinhyun Lee
1
ORCID: ORCID
Bongyoung Yoo
1
ORCID: ORCID

  1. Hanyang University, Department of Material Science & Chemical Engineering, Ansan, Korea
Download PDF Download RIS Download Bibtex

Abstract

The paper presents special forms of an ensemble of classifiers for analysis of medical images based on application of deep learning. The study analyzes different structures of convolutional neural networks applied in the recognition of two types of medical images: dermoscopic images for melanoma and mammograms for breast cancer. Two approaches to ensemble creation are proposed. In the first approach, the images are processed by a convolutional neural network and the flattened vector of image descriptors is subjected to feature selection by applying different selection methods. As a result, different sets of a limited number of diagnostic features are generated. In the next stage, these sets of features represent input attributes for the classical classifiers: support vector machine, a random forest of decision trees, and softmax. By combining different selection methods with these classifiers an ensemble classification system is created and integrated by majority voting. In the second approach, different structures of convolutional neural networks are directly applied as the members of the ensemble. The efficiency of the proposed classification systems is investigated and compared to medical data representing dermoscopic images of melanoma and breast cancer mammogram images. Thanks to fusion of the results of many classifiers forming an ensemble, accuracy and all other quality measures have been significantly increased for both types of medical images.
Go to article

Authors and Affiliations

Fabian Gil
1
Stanisław Osowski
1 2
Bartosz Świderski
3
Monika Słowińska
4

  1. Military University of Technology, Faculty of Electronics, Institute of Electronic Systems, ul. gen. Sylwestra Kaliskiego 2, 00-908 Warsaw, Poland
  2. Warsaw University of Technology, Faculty of Electrical Engineering, pl. Politechniki 1, 00-661 Warsaw, Poland
  3. University of Life Sciences, ul. Nowoursynowska 166, 02-787 Warsaw
  4. Central Clinical Hospital Ministry of Defense, Military Institute of Medicine – National Research Institute, ul. Szaserów 128, 04-141 Warsaw, Poland
Download PDF Download RIS Download Bibtex

Abstract

This paper presents the design of a wearable electroencephalography device and signal processing algorithm for early detection and forecasting of the epileptiform activity. The availability of the examination of functional brain activity for a prolonged period, outside of the hospital facilities, can provide new advantages in early diagnosis and intervention systems. In this study, the low-cost five-channel device is presented. The system consists of two main parts: the data acquisition and transmission units and processing algorithms. In order to create the robust epileptiform pattern recognition approach the application of statistical sampling and signal processing techniques are performed. The discrete wavelet and Hilbert- Huang transforms with principal component analysis are used in order to extract and select a low-dimension feature vector.
Go to article

Bibliography

[1] Stacey, William C. ”Seizure Prediction Is Possible–Now Let’s Make It Practical.”, EBioMedicine, No. 27,2018,pp. 3-4.
[2] Federico, P., Abbott, D. F., Briellmann, R. S., Harvey, A. S. ”Functional MRI of the pre-ictal state”, Brain vol. 128, 2005, pp. 1811 - 1817.
[3] Smith S. J. M. ”EEG in the diagnosis, classification, and management of patients with epilepsy”, Journal of Neurology, Neurosurgery & Psychiatry. no. 76, 2005, pp. 112 - 117.
[4] V. Mihajlovi´c, B. Grundlehner, R. Vullers and J. Penders ”Wearable, Wireless EEG Solutions in Daily Life Applications: What are we Missing?”, Journal of Biomedical and Health Informatics vol. 19, no. 1, 2015, pp. 6-21.
[5] Malmivuo, Plonsey, Jakko Malmivuo, Plonsey Robert, ”Bioelectromagnetism: principles and applications of bioelectric and biomagnetic fields”, Oxford University Press, USA, 1995.
[6] Sudakov O., Kriukova G.,Natarov R. et al., ”Distributed System for Sampling and Analysis of Electroencephalograms”, in Proc. 2017 IEEE 9th International conference IDAACS 2017, Bucharest, 21-23 September 2017, pp. 306-310
[7] Direito B. et al. ”A realistic seizure prediction study based on multiclass SVM.” International Journal of Neural Systems, vol. 27, no. 3 , 2017.
[8] Federico P., Abbott, D. F., Briellmann, R. S., Harvey, A. S. ”Functional MRI of the pre-ictal state”, Brain, vol. 128., 2005, pp. 1811-1817
[9] Obermaier B. et al. ”Hidden Markov models for online classification of single trial EEG data.”, Pattern recognition letters, No. 12, 2001, pp.1299-1309.
[10] Zaena J.V. ”Adaptive tracking of EEG oscilattiond”, Neuroscience Methods, 2010.
[11] Dilran S.W., Lakshitha P.W, Sudaraka M. ”Seizure prediction using Hilbert-Huang transform on field programmable gate array”, IEEE Global conference on signal and information processing, Orlando, 2015.
[12] Jin-De Zhu, Chin-Feng L. et al. ”Analysis of spike waves in epilepsy using Hilbert-Huang transform”, Journal of Medical Systems, 2015.
[13] Kshischang F. R.”The Hilbert transform”, University of Toronto, 2006.
[14] Herrmann C.S., Grigutsch M., Bush N.A. ”EEG oscillations and wavelet analysis”, Event-related potencial,2005.
[15] Shaiens J.”A tutorial on Principal Analysis”, arXiv preprint, Cornell University, 2014.

Go to article

Authors and Affiliations

Viktoriia Gaidar
1
Oleksandr Sudakov
1

  1. Taras Shevchenko National University of Kyiv, Ukraine
Download PDF Download RIS Download Bibtex

Abstract

Machine learning (ML) methods facilitate automated data mining. The authors compare the effectiveness of selected ML methods (RBF networks, Kohonen networks, and random forest) as modelling tools supporting the selection of materials in ecodesign. Applied in the design process, ML methods help benefit from the knowledge, experience and creativity of designers stored in historical data in databases. Implemented into a decision support system, the knowledge can be utilized – in the case under analysis – in the process of design of environmentally friendly products. The study was initiated with an analysis of input data for the selection of materials. The input data, specified in cooperation with designers, include both technological and environmental parameters which guarantee the desired compatibility of materials. Next, models were developed using selected ML methods. The models were assessed and implemented into an expert system. The authors show which models best fit their purpose and why. Models supporting the selection of materials, connections and disassembly methods help boost the recycling properties of designed products.

Go to article

Authors and Affiliations

I. Rojek
E. Dostatni

This page uses 'cookies'. Learn more