IOSR-JESTFT   Volume-15 ~ Issue-5 ~ May 2021

Abstract: Background: Rapid industrial development, large quantities of industrial waste are discharged continuously into the water without proper treatment causing contamination of the marine biota. Most aquatic animals accumulate large quantities of xenobiotic matter and the accumulation of these depends on the intake and elimination of these from their system. One of such animals is the periwinkle which is a common source of protein and iodine for the people. Heavy metals accumulation has been reported in some seafoods hence the need for this study. Materials and Methods:The levels of.....

Keywords: Periwinkles, Heavy Metals, Bioaccumulation, Bioindicator, Health risks, Carcinogenicity, True metal intake (TMI)..

[1]. Malik N, Biswas AK, Qureshi TA, Borana K, Virha R, (2010). Bioaccumulation of heavy metal in fish tissues of a fresh water lake of Bhopel. Environmental monitoring assessment 160:267-272.
[2]. He ML, Mir PS, Beauchemin KA, Ivan M, Mir Z, (2005). Effects of dietary sunflower seeds on lactation performance and conjugated linoleic acid of milk, Canada. Journal of animal science 85(1); 75-83.
[3]. Portman JE. (2010). Toxicity Testing with Particular Reference to Oil Removing Materials and Heavy Metals In: Marine Pollution and sea life. Jafe R (Ed). Fishing News Book Ltd. England pp. 217 – 222.
[4]. Chindah AC, Braide SA, Amakiri J, Chikwendu S. (2009). Heavy metal concentrations in sediment and periwinkle – Tympanotonusfuscastus in the different ecological zones of Bonny River System. Niger Delta, Nigeria. Environ. Pollut. And Toxicol J.; 1:93-106.
[5]. De Groot AJ, Salmons W, Aiiersma E. (2007). Processes affecting Heavy Metals in Estuarine Sediments. Estuarine Chemistry. Briton JR and Liss PS Eds. Academic Press pp. 131- 151.

Abstract: In recent years, the effects of climate change have been a major global environmental issue. Extreme climatic phenomena are on the rise and anthropogenic actions are being blamed for the changing climate. Awareness of the environmental impact has reshaped the operation and priorities of the business, investments, and public sector that is considered the pillar of each country's strategy. In the present paper, the issue of adaptation of forest ecosystems to climate change and how environmental technologies can contribute positively to it is studied and the impact on business management. Initially, a historical review is made of the emergence of the term "climate change......

Keywords: climate change; sustainable management; forest ecosystems; adaptation; green technologies.

[1]. Stasinos, G. Climate Change and Forest Ecosystems in Europe. (University of Thessaly, 2013).
[2]. Andreopoulou, Z. Green Informatics: ICT for Green and Sustainability. J. Agric. Informatics 3, 8 (2013).
[3]. Panitsidis, K., Andreopoulou, Z., Kokkinakis, A. & Gitas, I. Information System Development using Open-Source tools for the spread of fresh water fish fauna in inland water ecosystem of Greece. J. Environ. Prot. Ecol. 19, (2018).
[4]. Matthopoulos, D. P. & Tsekos, C. A. Principles of environmental sciences. (University Studio Press, 2011).
[5]. Tsekos, C. A. & Matthopoulos, D. P. Ethics, science and environment: The need for a new environmental worldview. Int. J. Environ. Stud. (2009)..

Abstract: Organic wastes are biodegradable and can serve as good biomass source to produce biogas for useful energy generation. This is achieved via anaerobic fermentation process, under the action of microorganisms which converts the organic matter mainly into methane and carbon dioxide, with small traces of impurity gasses. Biogas production rate and methane concentration can be improved by co-digestion of two or more substrates in a digester. This research work focuses on production of biogas from agricultural and domestic wastes, including cow dong, sugarcane.....

Keywords; Biogas, biomass, co-digestion, anaerobic digestion

[1]. Abdel-Shafy, H. I.Mansour, M. S. M. (2014). Biogas production as affected by heavy metals in the anaerobic digestion of sludge. Egyptian Journal of Petroleum, 23(4), 409-417.
[2]. Achinas, S.Euverink, G. J. W. (2016). Theoretical analysis of biogas potential prediction from agricultural waste. Resource-Efficient Technologies, 2(3), 143-147.
[3]. Agostini, A., Battini, F., Padella, M., Giuntoli, J., Baxter, D., Marelli, L., and Amaducci, S. (2016). Economics of GHG emissions mitigation via biogas production from Sorghum, maize and dairy farm manure digestion in the Po valley. Biomass and Bioenergy, 89, 58-66.
[4]. Boysan, F., Özer, Ç., Bakkaloğlu, K., and Börekçi, M. T. (2015). Biogas Production from Animal Manure. Procedia Earth and Planetary Science, 15, 908-911.
[5]. Deublein, D.Steinhauser, A. (2011). Biogas from waste and renewable resources: an introduction: John Wiley & Sons.

Abstract: Snake venom metalloproteinases possessing fibrinogenolytic activity have been generating interest due to their clinical potential for the treatment of occlusive vascular diseases. In this study, a fibrinogenase from the venom of Najanigricollis was purified by chromatography on sephadex G-75 and DEAE-cellulose. Najanigricollisvenom crude preparation was separated into three peaks on sephadex G-75 and a single peak on DEAE-cellulose. The purified enzyme designatedNaja fibrinogenase, was homogenous by the criterion of SDS-PAGE, and consisted of a single chain with a molecular weight of 63 KDa. Purified metalloproteases had approximately 231 folds more proteinase activity than the crude venom. Preliminary information obtained on the purification profile of the enzyme would pave the way for characterization of the enzyme which would hopefully contribute to the wealth of information on these enzymes.

Keywords: Isolation, purification, fibrinogenase, Najanigricollis venom

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[4]. Pandya, B. V., Budzynski, A, Z. (1984).Anticoagulant proteases from the western diamond rattlesnake (Crotalus atrox) venom. Biochemistry, 23: 460-70.
[5]. Ouyang, C., Teng, C. M. (1976). Fibrinogenolytic enzymes of Trimeresurus venom. BiochimBiophys Acta.420: 298-308. Pp 1-7

Abstract: Given the high exposure rate of humans to Aluminum (Al) and it toxic effects, this study examined changes in haematological parameters of aluminium-exposed rats treated with natural bee honey. Thirty Wistar rats weighing 150±5.50g were used for this study. They were randomly divided into 6 groups, (n=5): Group 1 (control), Group 2: Al(NO3)3 only; group 3, 4, 5 and 6 were also given Al(NO3)3 and then treated with 10 %, 25 %, 50 % and 100 % bee honey daily respectively. Al(NO3)3 was administered, intraperitoneally at a dose of 6.5 mg/kg. The treatment lasted for 14 days. Al-induced anemia was manifested via significant reduction in heamoglobin (Hb), Red Blood Cell (RBC) and Packed Cell Volume (PCV). Conversely, exposure to Al caused significant increase in White.....

Keywords: Haematology, oxidative stress, Natural Bee Honey, Aluminium nitrate

[1]. Nair A & Nair BJ, Comparative analysis of the oxidative stress and antioxidant status in type II diabetics and nondiabetics: A biochemical study. J Oral Maxillofac Pathol, 21 (2017) 394.
[2]. Sadhana S, S-Allyl-Cysteines Reduce Amelioration of Aluminum Induced Toxicity in Rats. Am J Biochem Biotech, 7 (2011) 74-83
[3]. Al-Hashem FH, Camel's milk protects against aluminum chloride-induced toxicity in the liver and kidney of white albino rats. Am J Biochem Biotechnol, 5 (2009) 98-108. DOI:10.3844/ajbbsp.2009.98.108
[4]. Newairy AS, Salama AF, Hussien HM & Yousef MI, Propolis alleviates aluminum-induced lipid peroxidation and biochemical parameters in male rats. Food Chem Toxicol, 47 (2009) 1093-1098. PMID: 19425229
[5]. Yousef MI & Salama AF, Propolis protection from reproductive toxicity caused by aluminium chloride in male rats. Food Chem Toxicol, 47 (2009) 1168-1175. PMID: 19425234.

Abstract: In addition to the traditional time-series forecasting methods, researchers over the past few years have suggested various methods based on artificial intelligence for the prediction of meteorological conditions. We have proposed an architecture based on deep learning named CoLSTM (Convolution Stacked Long Short-Term Memory), which convolutes the raw data before feeding into the LSTM layer capable of learning complex features. Additionally, we have compared the performance of CoLSTM with other deep learning models like FNN (Feedforward Neural Network) and SANN (Seasonal Artificial Neural Network) along with the traditional time-series forecasting model ARIMA (Auto-Regressive Integrated Moving Average). We have used the above-mentioned models on monthly data of Minimum Temperature, Maximum Temperature and Vapour Pressure from the region of Meghalaya in India.

Keywords: deep learning, neural network, time-series, temperature, vapour pressure

[1]. Matiu M, Ankerst DP, Menzel A (2017) Interactions between temperature and drought in global and regional crop yield variability during 1961-2014. PLOS ONE 12(5): e0178339.
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[3]. Choudhury, Burhan & Das, Anup & Ngachan, S.V. & Slong, A. & Bordoloi, L.J. & Chowdhury, Pulakabha. (2012). Trend analysis of long-term weather variables in mid-altitude Meghalaya. J. Agric. Phys.. 12. 12-22.
[4]. H. Mislan, S. Hardwinarto, and M. A. Sumaryono, ''Rainfall monthly prediction based on artificial neural network: A case study in Tenggarong Station, East Kalimantan-Indonesia,'' Procedia Comput. Sci., vol. 59, pp. 142–151, Jan. 2015.

Abstract: Background: The study investigated the effects of Water hyacinth methanol extract (WHME) and Cashew nut shell extract (CNSE) on in-vitro activities of selected enzymes in Acanthoscelides obtectus and Zonocerus variegatus .Materials and Methods: Water hyacinth leaves and cashew nut shells were macerated and subjected to Soxhlet extraction to obtain WHME and CNSE, respectively.Acanthoscelides obtectus and Zonocerus variegatus were divided into two portions each. One portion was homogenized with phosphate buffer (pH 7.4), while the other portion was homogenized with Tris-HCl buffer (pH 7.8), and then centrifuged. Total proteinand activities of superoxide dismutase (SOD), catalase, glutathione-S-transferase (GST), acetylcholinesterase (AChE) and carboxylesterases (CES)ofthe homogenates.....

Keywords: Water hyacinth; cashew nut shell;Acanthoscelides obtectus; Zonocerus variegatus; biopesticides

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Abstract: The present work is to evaluate the degree of heavy metal contamination and pollution such as: Pb, Zn, Ni, Cd, Mn, Cr, Fe, Co, Hg and As in Ouagadougou (Paspanga and Goudrin) and Loumbila agricultural soil. This study concerned top soils (0-5cm). The soil samples were analyzed using the VARIAN AA 240FS flame atomic absorption spectrometry (FAAS).
The results of average concentrations of the heavy metals for the four study areas showed that the concentrations of iron and manganese were high compare to the other metals. But the heavy metals average concentrations in soils were less......

Key-words: Heavy metals, concentration, index of geo-accumulation, pollution load index, agricultural soils and accumulation

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