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Landfill site choice in an urban region is a perilous subject in the urban planning process because of enormous impact on the economy, ecology, and the environmental health of the region with the growth of the urbanization, larger amount of wastes are produced and unfortunately the problem gets bigger every day. A selection of appropriate waste discarding site is a function of many factors can be involved under the Environment, Planning & Social Functions. GIS based mapping and succeeding image analysis is projected to be done for each of the correlating criteria for each parameter. The fuzzy multi standards decision making (FMCDM) is used to rank diverse land fill sites based on decisions given by a group of experts. The selected site can be more confirmed through GIS request. This paper emphasizes the clarified approach.

The Western Ghats is one of the 34th Mega Biodiversity hot spots at the global level due to its high number of endemic plant and animal species. That plant species, especially the endemics, have been reported and published in Red Data Book. Heterostemma dalzellii Hook. belongs to the family Apocynaceae is a twining undershrubs species, it is endemic to Western Ghats of India. The present distribution of H. dalzellii is only in India and it is restricted to the Diu, Daman, Dadar- Nagarhaveli, Maharashtra, and Goa. Recently discovered in the southeast Gujarat region. IUCN provided the status of many plants which are present in the Western Ghats. But due to the unavailability of the data, these plant is not appearing in IUCN data. There is an urgent need to evaluate their status as per IUCN categories as well as to undertake conservation measures to protect the habitat of the species. The major goal of the species recovery programme will be to re-establish the populations within their historical range. Their taxonomy will be reinvestigated to confirm their taxonomic distinctness. Population parameters will be collected for each population. H. dalzellii is one of the species that need to evaluate as per the IUCN category because of lacking primary and secondary data. In the present study, I am generating primary and secondary data for the purpose of standing a species in the IUCN category.

In recent time, copper nanoparticles (Cu-NPs) are versatile nanomaterials that find wide array of utilizations in biomedicine, molecular biology, dentistry, dye degradation, catalysis, among others. The aim of this study is to assess the quality of Cu-NPs synthesized from copper tailings and reagent grade copper salt. Chemical reduction method was used to synthesize Cu NPs from copper tailings and reagent grade copper salt using sodium tetrahydroborate (NaBH4) as the reducing agent. The synthesized copper nanoparticles were characterized using different analytical techniques such as: quantitative X-ray Diffraction (XRD), scanning electron microscopy (SEM), X-Fluorescence spectroscopy (XRF), Brunauer-Emmett-Teller (BET), Fourier Transform Infrared Spectroscopy (FTIR) and Thermogravimetric analysis (TGA). The results of XRD identified three major mineral phases tenorite Syn, garnet and quartz in tailing (87.3%, 7.8%, and 4.9%) and reagent grade salt (90%, 6%, and 4%) respectively and confirmed the formation of face-centered cubic (FCC) metallic copper. SEM revealed irregular shape particle morphology with rough surface and particle of 31.3 nm for Cu tailings and 37.6 nm for Reagent Cu nanoparticles. XRF revealed high elemental composition of copper in both synthesized nanoparticles from tailings and reagent salt with 85.15% and 85.98% respectively, BET surface area are 342.11 m2/g and 464.95 m2/g for Cu tailings and reagent salts respectively, and FTIR revealed the specific functional groups O-H, C=O, C-O and Cu-O stretching for both tailings and reagent grade Cu-NPs. However, this type of study has not been reported in an accredited journal. Thermogravimetric analysis (TGA) confirms the thermal stability of these Cu-NPs up to 325 °C. In conclusion, synthesized TCu-NPs and and RCu-NPs were pure, highly crystalline, nano-sized and the quality of the nanoparticles from tailings was slightly lesser than the reagent grade salt due to the presence of impurities. KEYWORDS: Copper tailing, reagent grade copper salt, chemical reduction, copper nanoparticles, characterization

An experimental and numerical study of the operation of an adsorption solar refrigerator using the zeolite-water couple is presented. The experimental consists of measuring the solar radiation incident on the collector-absorber, the temperature of the collector-adsorber, of the condenser and the one of the evaporator. The numerical part concerns a modeling and a simulation of the functioning of this refrigeration system. Transfer equations are deduced from thermal and mass balances established at each component of the refrigerator. The Dubinin-Astakhov equation is adopted for the adsorption kinetics of the zeolite-water pair. The results are presented by the evolution over time of the temperatures of the components of the solar refrigerator (absorbent plate, condenser, evaporator, etc.), as well as the pressure adsorbed, adsorbate mass and SCOP.

The lack of devices to test the tiles is not a reason to ignore the problems related to their durability. This article presents the results of an analysis of the impact behaviour of three qualities of tiles. The strike force of a TFM is 70% lower than that of a TMV and 54% lower than that of a TAC tile. Deflection results (TFM = 1.24 mm; TMV = 0.56 mm and TAC = 0.68 mm), stresses and deformations show that TFM resists better because it deforms extensively before breaking.

This paper motivated by an interdisciplinary research work approach integrating multi-sensory cognitive learning theory with interesting issue of tutoring quality improvement. It is worthy to note that adopted approach has been inspired by analysis and evaluation of phonics methodology applied in teaching children "how to read?". Herein, quantitative evaluation of this issue performed by considering two computer aided learning (CAL) packages concerned with a specific mathematical topic namely long division process. Via realistic modeling of packages using Artificial Neural Networks (ANNs) based upon associative memory learning paradigm. In more details, at educational field practice ; both CAL packages have been applied for teaching children algorithmic steps performing long division processes. Moreover, learning performance evaluation of presented packages considers children outcomes' achievement after tutoring for suggested Mathematical Topic either with or without associated tutor's voice. Interestingly, statistical analysis of obtained educational case study results at children classrooms (for both applied packages) versus classical tutoring proved to be in well agreement with obtained after ANNs computer simulation results.

Forty two samples each of two fish species, Tillapia zilli and Chrysichthys nigrodigitatus were collected along the Kpando Torkor Lake in the Volta Region of Ghana. The samples were investigated for levels of organochlorine pesticide residues and their potential health risks to humans were also assessed. Composite sample of muscles and gills of each species were homogenized using a warring blender. The homogenized samples were Soxhlet extracted with hexane/dichloromethane mixture. The extracts were cleaned up on florisil adsorbent and analyzed for organochlorine pesticide residues using gas chromatography equipped with electron capture detector. In all, fifteen organochlorine pesticides (OCPs) were investigated of which thirteen organochlorines namely, ?-HCH, ?-HCH, p,p'-DDT, p,p'-DDD, p,p'-DDE, heptachlor, aldrin, dieldrin, ?-chordane, ?-endosulfan, ?-endosulfan, endosulfan sulfate and methoxychlor were identified. Heptachlor, ?-HCH, p,p'-DDD, ?-HCH, methoxychlor and endosulfan sulphate were the predominant OCP residues measured. The mean residue concentration in muscles and gills ranges from 0.10 to 17.35 ng/g wet weight and 0.56 to 37.75 ng/g wet weight respectively. A 100% incidence was recorded for ?-HCH, ?-HCH, p,p'-DDD, heptachlor, endosulfan sulfate in the muscle. In the case of the gills a 100% incidence was also recorded for ?-HCH, ?-HCH, p,p'-DDD, ?-chordane, endosulfan sulfate and methoxychlor. Risk assessment based on estimated daily intake (EDI) showed that values obtained for EDI for each organochlorine were far below the non-cancer and cancer benchmark concentrations. As a result the consumption of these fishes will have little or no significant adverse health effects on consumers. It is however, advisable to remove the gills from tilapia fish prior to preparation and consumption to reduce the cumulative and concomitant effect of OCPs in tilapia protein consumers in the long term.

Present study focused on pathological and genetic characterization of predominant post harvest fungal pathogens causing stem end rot, anthracnose and side rots of mango. Aggressiveness of these fungal isolates was tested through artificial inoculations under controlled conditions and all isolates were proved pathogenic with varying degree of aggressiveness in reference to control on both Sindhri and White Chounsa variety with exception of Colletotrichum gloeosporioides which showed no disease symptoms and characterized as non-aggressive isolates. All pathological results were proved highly significant at P<0.05 through ANOVA. DNA of fungal pathogens was successfully extracted and amplification was done through ITS1 and ITS4 primers and the amplified amplicons were productively digested with restriction enzymes (MboI, AluI, EcoRI, HaeIII, TaqI). Good genetic variability was obtained among the isolates of Lasiodiplodia theobromae, Aspergillus niger and Aspergillus flavus but Colletotrichum gloeosporioides did not show genetic variability.

The massive amounts of data collected today by software in fields varying from academia to business and many other fields, is increasingly becoming a huge problem due to storage technologies not advancing fast enough to provide the performance scalability needed. This is even truer for data which are highly organized and require analysis while being stored in databases and being accessed by various applications simultaneously. As database vendors struggle to gain more market share new technologies emerge attempting to overcome the disadvantages of previous designs while providing more features. Two popular database types, the Relational Database Management Systems and NoSQL databases are examined. The aim of this paper was to examine and compare two databases from these two database models and answer the question of whether one performs and scales better than the other.

Persistent left superior vena cava (PLSVC) is a rare and benign congenital malformation. It results when the left superior cardinal vein caudal to the innominate vein fails to regress. It is often asymptomatic and usually diagnosed incidentally while performing imaging. The notation of a dilated coronary sinus on echocardiography should raise the suspicion of PLSVC. We report a rare case of a 56 year-old lady in whom we discover this anomaly because of dyspnea.