-
Population Dynamics of Saddle Grunt Fish, Pomadasys maculatus (Bloch, 1793) from Pakistani Waters
Abdul Baset,
Qun Liu,
Baochao Liao,
Abdul Waris,
Imtiaz Ahmad,
Han Yanan,
Zhang Qingqing
Issue:
Volume 4, Issue 1, June 2020
Pages:
1-8
Received:
6 December 2019
Accepted:
2 January 2020
Published:
4 February 2020
Abstract: Length frequency data of Pomadasys maculatus (Bloch, 1793) was collected during 2012 and 2014 from Pakistan waters. Total 1387 fish individuals (pooled) were collected ranging from 7-22 cm (total length). Weight ranging 5-105 g. The data were analyzed for the estimation of population dynamics. The power coefficient of 2.532 in 2012 and 2.560 in 2014. The von Bertalanffy growth parameters of 23.10 cm (L∞), 0.480year-1 (K) for 2012 and 23.10 cm (L∞), 0.570year-1 (K) for 2014, were calculated by ELEFAN method. The Z was 2.06years-1 for 2012 and 2.07year-1 for 2014. The M) was1.16 year-1 for 2012 and 1.30 year-1 for 2014 calculated with Pauly’s equation. Therefore, the F was 0.9 years-1 in 2012 and 0.77years-1 in 2014. The exploitation ratio was estimated to be 0.43 and 0.32 respectively. The YPRA (yield-per-recruit analysis) indicated that the estimated Fmax was 1 for both years, when tc was 1. Fcurrent was 0.9 and 0.77 (for 2012 and 2014 respectively) which was less than Fmax. With Gulland method, the BRPs for the fishery (Fopt) was estimated at 1.16 years-1 and 1.30 years-1 respectively, higher than current fish mortality. Accordingly, the Pomadasys maculatus fishery is in managing the condition in Pakistani waters.
Abstract: Length frequency data of Pomadasys maculatus (Bloch, 1793) was collected during 2012 and 2014 from Pakistan waters. Total 1387 fish individuals (pooled) were collected ranging from 7-22 cm (total length). Weight ranging 5-105 g. The data were analyzed for the estimation of population dynamics. The power coefficient of 2.532 in 2012 and 2.560 in 201...
Show More
-
Delamination Phenomenon in Composite Laminated Plates and Beams
Osama Mohammed Elmardi Suleiman Khayal
Issue:
Volume 4, Issue 1, June 2020
Pages:
9-16
Received:
8 December 2019
Accepted:
13 January 2020
Published:
4 February 2020
Abstract: Failure analysis of laminated composite decks structures has attracted a great deal of interest in recent years due to the increased application of composite materials in a wide range of high-performance structures. Intensive experimental and theoretical studies of failure analysis and prediction are being reviewed. Delamination, the separation of two adjacent plies in composite laminates, represents one of the most critical failure modes in composite laminates. In fact, it is an essential issue in the evaluation of composite laminates for durability and damage tolerance. Thus, broken fibers, delaminated regions, cracks in the matrix material, as well as holes, foreign inclusions and small voids constitute material and structural imperfections that can exist in composite structures. Imperfections have always existed and their effect on the structural response of a system has been very significant in many cases. These imperfections can be classified into two broad categories: initial geometrical imperfections and material or constructional imperfections. Delamination is a critical failure mode in fiber-reinforced composite decks plates and beams. It may lead directly to through-thickness failure owing to interlaminar stresses caused by out of plane loading, curved or tapered geometry, or discontinuities owing to cracks, ply drops or free edges. Impact loading causes multiple delaminations, which can propagate in conjunction with sub laminate buckling, greatly reducing the residual compressive strength.
Abstract: Failure analysis of laminated composite decks structures has attracted a great deal of interest in recent years due to the increased application of composite materials in a wide range of high-performance structures. Intensive experimental and theoretical studies of failure analysis and prediction are being reviewed. Delamination, the separation of ...
Show More
-
Evaluation of Early Detection Methods for Alzheimer's Disease
Issue:
Volume 4, Issue 1, June 2020
Pages:
17-22
Received:
10 December 2019
Accepted:
13 January 2020
Published:
4 February 2020
Abstract: Amnesia, commonly referred to as Alzheimer’s, is a type of brain dysfunction that gradually dissipates the patient’s mental abilities. Memory disorder usually develops gradually and progresses. At first, memory impairment is limited to recent events and lessons, but old memories are gradually damaged. In this disease, the connection between nerve cells by the formation of neurofibrillary nodes disappeared. Currently, treatment for the disease mainly involves symptomatic treatments, treatment of behavioral disorders and medication use. Although there is no cure for Alzheimer's disease yet, medications can slow the progression of the disease and reduce the severity of memory impairment and behavioral problems. Today, whit the spread of definitive treatment for this disease, in this study, new techniques for the treatment of this disease can be explored by examining the early detection methods of the disease through brain signal processing with classifiers and medical imaging such as MRI and CT Scan. Signal processing has included EEG and ERP brain signals and the use of classifiers such as SVM, LDA and Neural network. In medical image processing, a combination of Neural network and Wavelet is used to expedite the time of diagnosis according to the above method. Given the process under consideration, combining brain signals and medical imaging can provide valuable help in early detection of Alzheimer disease.
Abstract: Amnesia, commonly referred to as Alzheimer’s, is a type of brain dysfunction that gradually dissipates the patient’s mental abilities. Memory disorder usually develops gradually and progresses. At first, memory impairment is limited to recent events and lessons, but old memories are gradually damaged. In this disease, the connection between nerve c...
Show More
-
Comparative Assessment of Some Physicochemical Properties of Different Sesame Varieties and Oil Yield, Ethiopia
Mulate Zerihun,
Hayelom Berhe
Issue:
Volume 4, Issue 1, June 2020
Pages:
23-28
Received:
13 January 2020
Accepted:
27 February 2020
Published:
29 May 2020
Abstract: The proximate composition and physico chemical properties of released and improved Ethiopian sesame oil seed crops were evaluated. The results of statistical analyses showed significant variations in proximate composition values and physico chemical characteristics of sesame oil seed crops. The analysis of variance indicated that moisture content was ranged between 4.4% to 4.8%, total ash (4.70% to 8.72%), crude protein content (14.44% to 21.51%), crude fat /oil (44.40% to 50.84%) and carbohydrate was ranged between (16.23% to 29.46%). Maturity stage and storage conditions are the major factors for moisture contents. The lower moisture values indicated that there is low vulnerable for oil spoilage the so-called rancidity. Total ash values are the indication of inorganic elements that are present in food as minerals. From the ash values, comparatively Tate has a better mineral value as compared with others. Serkamo sesame variety has a better protein value while the minimum (14.44%) was recorded at Adi. This may due to the reason that protein values have direct correlation with agronomic practices. The oil contents of seed crops were significantly different; this may be due to genetic difference. The carbohydrate values have significant difference among varieties. These variations may be bringing form the concept that oil crops mostly have a better oil values, thus subtractions of carbohydrate from the proximate values have a significant effect on the carbohydrate’s values. On the other hand, the oil characterization of seed crops indicated that the range of saponification value was between (184.47 to 199.60 mgKOH/g), specific gravity (0.85 to 0.90), thousand seed weight (2.72 to 3.63 g), free fatty acid value (7.63 to 16.67%), ester value (151.32 to 182.90) and acid value (15.18 to 33.15 KOH/g). The physico chemical parameters of sesame oil seed crops were significantly different among varieties. This variation mainly exists due to genetic variabilities among the seed crops. From these ten different sesame varieties, Abasena with its lowest saponification value and high free fatty acid value indicated that the oil from this variety is regarded non-edible oil. Lower acid value indicated the oil stability against peroxidation. Abasena with its higher acid value indicated that the oil is not suitable for cooking as compared with the remain sesame varieties.
Abstract: The proximate composition and physico chemical properties of released and improved Ethiopian sesame oil seed crops were evaluated. The results of statistical analyses showed significant variations in proximate composition values and physico chemical characteristics of sesame oil seed crops. The analysis of variance indicated that moisture content w...
Show More
-
The Use of a Shear Device to Monitor the Stability of a Single-Chain Variable Fragment (scFv) Fusion Protein MFECP1
Issue:
Volume 4, Issue 1, June 2020
Pages:
29-39
Received:
17 March 2020
Accepted:
22 April 2020
Published:
29 May 2020
Abstract: Antibody based drugs are increasingly being used to treat a vast array of diseases because of their unique affinity to target specific antigen proteins on the surfaces of target cancer cells. Fusions of antibodies and conjugated biopharmaceuticals are progressively being used as this gives the opportunity to target other cytotoxic molecules to unwanted cells. It is critical to ensure these types of drug products are not fragile or uneconomical to produce at a large scale. A very small amount of precious protein solution can be characterised in an Ultra scale-down (USD) shear device to uncover if fusion proteins are prone to shear stress. This article presents how the purified and deglycosylated form of the MFECP1 fusion protein was quantified with an ELISA from 700-50 ng/ml, with a +/- 10% deviation in the standard curve. It also describes how the same MFECP1 fusion protein was analysed to establish the optimum experimental control conditions that were required to observe changes due to hydrodynamic-associated degradation in a shear device. Lastly, it looks at how a first order kinetic relationship can be used to model the rate of MFECP1 fusion protein degradation and how this was used to quantify the rate of protein loss during different shear environments with and without air/liquid interfaces.
Abstract: Antibody based drugs are increasingly being used to treat a vast array of diseases because of their unique affinity to target specific antigen proteins on the surfaces of target cancer cells. Fusions of antibodies and conjugated biopharmaceuticals are progressively being used as this gives the opportunity to target other cytotoxic molecules to unwa...
Show More
