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Emerging Science Journal

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Published by Ital Publication

ISSN : 26109182 EISSN : - DOI : -

Core Subject : Social,

Environmental Science

Emerging Science Journal is not limited to a specific aspect of science and engineering but is instead devoted to a wide range of subfields in the engineering and sciences. While it encourages a broad spectrum of contribution in the engineering and sciences. Articles of interdisciplinary nature are particularly welcome.

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Articles 874 Documents

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Phenology of Sclerocarya birrea (A. Rich.) Hochst. Provenances V. J. Msukwa; C. R. Y. Munthali; B. I. Nyoka; E. Missanjo
Emerging Science Journal Vol 3, No 1 (2019): February
Publisher : Ital Publication

Phenology study was conducted to assess 22 genotypes of Sclerocarya birrea (A. Rich.) Hochst, collected from West, Eastern and Southern Africa. Assessments were done on time for bud onset, flower opening, leaf flush, fruit set, fruit maturity period and fruit production. Highly significant (P< 0.001) variations between provenances were obtained in all the phenological traits assessed including variations between sexes in time from flower bud set to anthesis. There was flowering overlaps and synchrony between provenances and sexes with males flowering earlier than females. So far two subpopulations have emerged within the trial referred to as early and late flowering genotypes. The early flowering included provenances from Mozambique, and Swaziland while the late flowering encompassed provenances from Malawi, Zimbabwe, Namibia, Tanzania and Zambia. Fruit maturity period ranged from 76±2 to 192±15days. The early flowering genotypes flowered, fruited and matured between August and January while the late genotypes flowered and fruited from September to May. There were highly significant (P≤0.001) variations in fruit yield of S. birrea provenances between 2016/2017 and 2017/2018 seasons with the former being more productive than the later confirming that S. birrea fruit yield is not constant across seasons due to seed mating effects. There were very strong positive relationship ranging r=0.81 to r=0.78 between leaf flush, bud set, flower opening and fruit set significant at (P<0.001). Some trees classified as females in the first year as based on flowers were found have male flowers which calls for more detailed investigations into this sex change behaviour.

Deep Learning Research: Scientometric Assessment of Global Publications Output during 2004 -17 B. M. Gupta; S. M. Dhawan
Emerging Science Journal Vol 3, No 1 (2019): February
Publisher : Ital Publication

The paper provides a quantitative and qualitative description of deep learning research using bibliometric indicators covering global research publications published during 14-year period 2004-17. Global deep learning research registered 106.76% high growth per annum, and averaged 7.99 citations per paper. Top 10 countries world- over dominate the research field with their 99.74% global publications share and more than 100% global citations share. China ranks the top with the highest (29.25%) global publications share, followed by USA (26.46%), U.K. (6.40%), etc. during the period. Canada tops in relative citation index (5.30). International collaboration has been a major driver of research in the subject with 14.96% to 53.76% of national-level share of top 10 countries output appeared as international collaborative publications. Computer Science is one of the most popular areas of research in deep learning research (76.85% share). The study identifies top 50 most productive organizations and 50 most productive authors and top 20 most productive journals reporting deep learning research and 118 highly cited papers with 100+ citations per paper.

Preliminary Studies on the Use of Sawdust and Peanut Shell Powder as Adsorbents for Phosphorus Removal from Water Marian Asantewah Nkansah; Moses Donkoh; Osei Akoto; James Hawkins Ephraim
Emerging Science Journal Vol 3, No 1 (2019): February
Publisher : Ital Publication

Phosphorus is one of the key nutrients that contribute to eutrophication and excess algal growth in rivers, lakes, and other surface water bodies. Such algal blooms affect the lives of aquatic organisms, especially fish, and block sunlight from reaching bottom dwelling plants, thus inhibiting photosynthesis and stunting growth. In this study, sawdust and peanut shell powder were explored as adsorbents for the removal of phosphorus from aqueous solutions. A series of batch experiments were conducted to determine the effects of adsorbent dosage, initial phosphorus concentration, and contact time on the rate of phosphorus removal. The results showed that 78% and 39% of phosphorus were removed by sawdust and peanut shell powder, respectively, at adsorbate concentrations of 10 mg/l (total P) for a period of 180 min at an adsorbent dosage of 0.4 g. It was also found that the highest phosphorus removal occurred at an adsorbent mass of 0.4 g of sawdust and 0.6 g of peanut shell powder. Adsorption data was fitted to the linearised forms of the Freundlich and Langmuir isotherm models to determine the water-adsorbent partitioning coefficient. Sawdust proved to be a better adsorbent than peanut shell powder.

Recent Trends and Future Directions on Value Addition of Irish Potato (Solanum Tuberosum L.) among Smallholder Farmers Jacinta Mlaviwa; Edward Missanjo
Emerging Science Journal Vol 3, No 1 (2019): February
Publisher : Ital Publication

Irish potato (Solanum tuberosum L.) value addition has the potential to enhance food security, household income and nutrition. This cross-sectional study was, therefore, conducted to examine value addition of Irish potato among smallholder farmers in Ntcheu, central Malawi. Data was collected using a standard structured questionnaire administered through face-to-face interviews. The results revealed that there were significant differences (X2=103.3; p<0.001) on value addition techniques practiced by farmers. The following value addition techniques were identified: chips (65%), packaging (27.5%), crisps (25%), grading (12.5%), salad (5%), baking (5%), soup (2.5%) and grounding into flour (2.5%). It was noted that factors influencing Irish potato value addition among farmers significantly (X2=8.020; p=0.046) differed. The majority (70%) of the farmers were influenced by knowledge of value addition, followed by ready markets for products (57.5%), while a few were influenced by capital (45.5%) and availability of value addition equipment (40.0%). The study further revealed that education level and group participation significantly (P<0.05) influenced Irish potato value addition technique practices. Farmers with secondary education level or above and those in Irish potato group production are involved in diverse value addition techniques. Encouraging farmer group formation, access to loans to buy value addition equipment, linking farmers with supermarkets, and farmer’s exposure to field days and workshops are the strategies identified to promote effective Irish potato value addition among smallholder farmers.

2D-QSPR Study of Olfactive Thresholds for Pyrazine Derivatives Using DFT and Statistical Methods Assia Belhassan; Samir Chtita; Tahar Lakhlifi; Mohammed Bouachrine
Emerging Science Journal Vol 3, No 3 (2019): June
Publisher : Ital Publication

In this study, we have established two-dimensional quantitative structure propriety relationships (2D-QSPR) model, for a group of 78 molecules based on pyrazine, these molecules were subjected to a 2D-QSPR analyze for their odors thresholds propriety using stepwise Multiple Linear Regression (MLR). The 35 parameters are calculated for the 78 studied compounds using the Gaussian 09W, ChemOffice and ChemSketch softwares. Quantum chemical calculations are used to calculate electronic and quantum chemical descriptors, using the density functional theory (B3LYP/6-31G (d) DFT) methods.The model was used to predict the odors thresholds propriety of the test and training set compounds, and the statistical results exhibited high internal and external consistency as demonstrated by the validation methods.

Investigation of Carmine Dye Removal by Green Chitin Nanowhiskers Adsorbent Seyyed Salar Meshkat; Mojtaba Nasiri Nezhad; Mohammad Reza Bazmi
Emerging Science Journal Vol 3, No 3 (2019): June
Publisher : Ital Publication

A green adsorbent was evaluated to remove the carmine dye. Chitin nanowhiskers were synthesized via acid hydrolyzed method. The diameter of the synthesized chitin whiskers was about 20 nm and had 200 to 400 nm length. The morphology and chemical structure of the synthesized adsorbent were investigated by Field Emission Scanning Electron Microscopy (FESEM), Transmission Electron Microscopy (TEM), Fourier Transform Infrared (FT-IR), X- Ray Diffraction (XRD). The adsorption process parameters of the carmine dye removal were optimized as follow: adsorption time (3 h), initial carmine dye solution concentration (100 ppm), mass loaded of the chitin whiskers suspension 1% weight of chitin nanowhiskers, as an adsorbent (1.4 g). The removal efficiency of the carmine dye adsorption was about 85% which is modified 15% better than the previous researches. The results indicated that carmine dye molecules were absorbed by hydrogen bonding mechanism due to the N-H bond in the chitin nanowhiskers structure.

Efficiencies of Horizontal and Vertical Baffle Mixers Jude Iloabuchi Obianyo; J. C. Agunwamba
Emerging Science Journal Vol 3, No 3 (2019): June
Publisher : Ital Publication

Efficiencies of sedimentation tanks with horizontal and vertical baffle mixers were studied, compared, and also to determine the optima values of factors of clarification in the sedimentation tanks. These are the discharge, basin baffle spacing and dosing factors, thereby comprises three factors at five levels for a 5k factorial design model. 2.0 mg/l of clay solution was introduced into the basin at discharge rates of 48.75 ml/s, 55.07 ml/s, 60.34 ml/s, 62.45 ml/s and 63.27 ml/s respectively. Alum solution was introduced as coagulant at the inlet of the basin, samples were collected both from the basin and the outlet and concentrations of flocs were measured. Plots of variation of total outlet and average outlet floc with dosing rates for horizontal and vertical mixers show that vertical mixers are better only at discharge of 48.75 ml/s, but horizontal mixers are better at 55.05 ml/s, 60.34 ml/s, 62.45 ml/s and 63.27 ml/s. Variation of grand total floc with dosing rates is also in favour of horizontal mixers. Plots of outlet floc against dosing rates at 48.75 ml/s discharge show that horizontal mixer spaced at 100 mm is better with maximum sediment/floc of 333 10-4 g at a dosing rate of 0.55 ml/s, at 55.07 ml/s discharge vertical mixer is better with 250 mm spacing giving maximum sediment of 985 10-4 g at a dosing rate of 0.95 ml/s. For 60.34 ml/s discharge, horizontal mixer is better at 250 mm spacing with maximum sediment of 307 10-4 g at 0.75 ml/s dosing rate. In the case of 62.45 ml/s discharge, horizontal mixer at a spacing of 300 mm is better with a maximum deposit of 335 10-4 g at a dosing rate of 0.95 ml/s, and for discharge of 63.27 ml/s, horizontal mixer is better at 150 mm spacing having a maximum sediment of 715 10-4 g for a dosing rate of 0.35 ml/s. Response surface methodology (RSM) presented by Montgomery, 2008 was further used for the analysis of data in this study for more reliable inference because it optimized the responses of these three variables. It was observed that for the vertically placed baffles, the stationary points of response surface for discharge rate, baffle spacing and dosing rate are 80.56762847 ml/s, 100.00000 mm and 0.04965779 ml/s, while for horizontally placed baffles, it was 70.636018 ml/s, 332.864704 mm and 1.402526 ml/s, however, these results indicate that horizontally placed baffle mixers are better than vertically placed baffle mixers.

Zebrafish as a Model Organism to Study Nanomaterial Toxicity Jaison Jeevanandam; Yen San Chan; Michael Kobina Danquah
Emerging Science Journal Vol 3, No 3 (2019): June
Publisher : Ital Publication

Recent developments in nanotechnology has increased the market value of nanoproducts in various industries. This has increased concerns associated with potential toxicity of nanoproducts to humans and the environments. Even though, green and biosynthesized nanoparticles are considered to be less toxic than chemically synthesized nanoparticles, they still possess some level of toxicity. Conventional toxicity assessments via human cells, live animals such as rat, frog or rabbit have several drawbacks including ethical issue and challenges involving the maintenance and development of cell cultures. Zebrafish (Danio rerio) is a transparent vertebrate fish that can reproduce rapidly. Its larvae develop in 5 days up to 3-5 cm long. It also possesses about 69% similar genetic profile, molecular mechanism, cell development and organ physiology as humans. Hence, it has the potential to be utilized as an alternative to humans or live animal models for initial drug screening and toxicity tests. European Union, USFDA and ICH have approved the use of zebrafish for toxicological evaluation of pharmaceutical products including nanomedicines. The article presents for the potential of zebrafish in preclinical evaluation of the toxicity of nanomaterials. It also discusses other potential applications, including medical imaging and environmental toxicity.

Position Control of a Flexible Joint via Explicit Model Predictive Control: An Experimental Implementation Massoud Hemmasian Ettefagh; Mahyar Naraghi; Farzad Towhidkhah
Emerging Science Journal Vol 3, No 3 (2019): June
Publisher : Ital Publication

This paper experimentally controls a flexible joint via explicit model predictive control (Explicit MPC) method. The scheme divides the state space into different partitions, then solves the associated multi parametric optimization in off-line computations. The result stores in a look-up table to be used in on-line algorithm. First, the state space equations of the flexible joint are derived and linearized around the working point. Then, in order to meet the plant’s specifications, desired performance and the limitation of processor/memory, the constraints, weights, sampling time and prediction horizon are determined for the system. Finally, the algorithm is applied on the experimental plant. Numerous simulations, the result of the experiment and comparison with other methods confirmed that the method was able to control the vibrations of the constrained flexible joint.

Developing an Integrated Genomic Profile for Cancer Patients with the Use of NGS Data Kosvyra, Alexandra; Maramis, C.; Chouvarda, I.
Emerging Science Journal Vol 3, No 3 (2019): June
Publisher : Ital Publication

Next Generation Sequencing (NGS) technologies has revolutionized genomics data research by facilitating high-throughput sequencing of genetic material that comes from different sources, such as Whole Exome Sequencing (WES) and RNA Sequencing (RNAseq). The exploitation and integration of this wealth of heterogeneous sequencing data remains a major challenge. There is a clear need for approaches that attempt to process and combine the aforementioned sources in order to create an integrated profile of a patient that will allow us to build the complete picture of a disease. This work introduces such an integrated profile using Chronic Lymphocytic Leukemia (CLL) as the exemplary cancer type. The approach described in this paper links the various NGS sources with the patientsâ€™ clinical data. The resulting profile efficiently summarizes the large-scale datasets, links the results with the clinical profile of the patient and correlates indicators arising from different data types. With the use of state-of-the-art machine learning techniques and the association of the clinical information with these indicators, which served as the feature pool for the classification, it has been possible to build efficient predictive models. To ensure reproducibility of the results, open data were exclusively used in the classification assessment. The final goal is to design a complete genomic profile of a cancer patient. The profile includes summarization and visualization of the results of WES and RNAseq analysis (specific variants and significantly expressed genes, respectively) and the clinical profile, integration/comparison of these results and a prediction regarding the disease trajectory. Concluding, this work has managed to produce a comprehensive clinico-genetic profile of a patient by successfully integrating heterogeneous data sources. The proposed profile can contribute to the medical research providing new possibilities in personalized medicine and prognostic views.

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