The effects of fuel-wood utilization on spatial and temporal concentration of air pollutants were assessed in 12 purposively selected rural communities in Odeda Local Government Area of Ogun state. Carbon (II) oxide (CO), Carbon (IV) oxide (CO2), Sulphur (IV) oxide (SO2), Nitrogen (IV) oxide (NO2), Methane (CH4) and Particulate Matter of 2.5 (PM2.5) and 10 (PM10)were monitored at 0, 2 and 5 m away from the cooking points using active air samplers in dry and wet seasons. Data collected were subjected to descriptive, ANOVA and Correlation statistics at 0.05 significant level.

Root crops in general and taro in particular are the main food crop, the only and livelihood dependant highly productive and multifunctional crop that used for as livestock feed supplement and human food item in southern Ethiopia, but its role in food and nutritional security had not been studied and well documented, consequently less attention was given in development agenda of the country. Hence, the study was aimed to undertake investigation in livelihood role Improved taro variety that helps in generation information on role of improved taro for farming communities in the district. The study was undertaken in Kindo koisha Woreda and Duguna Fango Woreda of Wolaita zone Administrative. The study revealed that the contribution of taro on the overall livelihoods of the beneficiaries is significantly high. The impact of Boloso-1-Taro ranges from saving life to reduction of migration and school dropout rates. It has also diversified income for the beneficiary farmers in general and able to generate income from selling taro production that empowered women and changed the family’s living status.

In the period of 2011-2015, a field experiment was conducted in the foothill region of the Central Balkan Mountain. The behaviour of some meadow grasses of local origin was studied, which had not been used before, under artificial sowing conditions. It has been found that there is an opportunity to cultivate French rye grass and white bentgrass under conditions of highly gleyed pseuodopodzolic soils. Under the experimental conditions, the most productive species were red and tall fescue. The average green matter yield of red fescue was 21.70 t.xa-1, and dry matter – 7.032 t.xa-1. In comparison, tall fescue surpassed it insignificantly according to average green matter yield (5.07%), but it was also insignificantly inferior according to dry matter (5,73%). Perennial ryegrass and big quaking grass were the most low-yielding grasses in the current study. Their average green mass, for the period of study, was 16.30 t.xa-1 and 16.10 t.xa-1, and dry matter was 4.159 t.xa-1and 4.878 t.xa-1.

As nature has selected amphibian skin defensive peptides for inter-species delivery through the oral route in the recipient, structural stabilisation modifications may have occurred to facilitate this and such information would be most useful and could potentially provide new insights to the design of orally-active and selectively-targeted peptide therapeutics. The purposes of this study were to study catabolic pathways in saliva for selected but commonly occurring bioactive peptide types belonging to the protease inhibitor (PI) and bradykinin-related peptide (BRP) families, namely pLR (LVRGCWTKS-YPPKPCFVR), HV-BBI (SVIGCWTKSIPPRPCFVK) and I-11-R (IRRPPGFSPLR), and to extend this study by determining catabolic pathways with kallikrein – the major salivary protease. These data will aid in the establishment of a database of peptide stabilities that may be useful in the design of future orally-delivered peptide therapeutics.

Gene therapy is a therapeutic strategy based on using genes as pharmaceuticals. Gene therapy holds promise for treating a wide range of diseases, including cancer, cystic fibrosis, heart disease, diabetes, hemophilia and AIDS. Various types of genetic material are used in gene therapy; double-strained DNA (dsDNA), single strained DNA (ssDNA), plasmid DNA and antisense oligodeoxynucleotides (ASON), adenoviruses, retroviruses, undeveloped/ plasmid DNA and bacteria. The use of bacteria in cancer therapy can be advantageous for various reasons compared to classic chemotherapy or other microorganisms. Bacteria can adhere and invade tumor cells, and they are capable of proliferation and of establishing extracellular colonies. Other than that, their genome length enables them to be recipient to a quantum of exogenous therapeutic genes (for example, enzymes activating precursors and cytokines). The most important thing from the clinical safety view is they can be killed by antibiotics (such as metronidazole) if complications in further treatment arise. For comparison, the capacity of viral vectors is limited and in case of side effects viruses cannot be eliminated by antibiotics.

Ecosystems provide society with a wide range of services—from reliable flows of clean water to productive soil, carbon sequestration and biodiversity conservation among many others. However, private landowners typically lack the incentive to manage their land to provide ecosystem services because many of these benefits accrue to third parties. As a result, land management effects on ecosystem services are often not incorporated into private decision-making, perpetuating suboptimal outcomes that may even harm both human well-being and the environment. To tackle this inefficiency, the use of market instruments and other forms of incentive programs that target resource conservation and provision of ecosystem services in private lands have become increasingly prevalent in environmental policy.

Objective: Concerning the nature of mining, miners a re more likely to suffer from different damages including burnout, which may damage the organization, besides its p hysical and mental damages to individuals. Social support a nd job satisfaction, on the other hand, can decrease burnout in the workplace. The present paper aims to identify the level of social support, job satisfaction and burnout among miners. Methods: This investigation was a descriptive and analytical, cross-sectional study. 250 out of 700 miners working at Bafq’sIron OreMine were selected randomly to participate in t his study. To collect data, Maslach Burnout Inventory (MBI) and Adolescent Family Caring Scale (AFCS), besides some items on demographic characteristics and job satisfaction were used. The collected data were analyzed using SPSS Software, version 16, operating descriptive analysis and p earson Correlation Test, T-test, and Regression analysis. Findings: The mean age of miners was 34.73±6.83. 90% of them were married and native residents. More than 70% of the subjects had mild emotional exhaustion and depersonalization, however, reduced sense of personal a ccomplishment was severe among more than 70% of workers. There was a significant correlation between burnout level and social support and its three dimensions P<0.05.

Text mining is a very exciting research area as it tries to discover knowledge from unstructured texts. These texts can be found on a computer desktop, intranets and the internet. The aim of this paper is to give an overview of text mining in the contexts of its techniques, application domains and the most challenging issue. The Learned Information Extraction (LIE) is about locating specific items in natural-language documents. This paper presents a framework for text mining, called DTEX (Discovery Text Extraction), using a learned information extraction system to transform text into more structured data which is then mined for interesting relationships. The initial version of DTEX integrates an LIE module acquired by an LIE learning system, and a standard rule induction module. In addition, rules mined from a database extracted from a corpus of texts are used to predict additional information to extract from future documents, thereby improving the recall of the underlying extraction system.Applying these techniques best results are presented to a corpus of computer job announcement postings from an Internet newsgroup.

Data basesare quintessential part of most modern web and mobile applications. In most part, relational databases dominate the database market but the evolution of object-oriented databases has provided users and developers with an alternative option. Object-oriented databases provide a number of advantages over relational databases like ease of extensibility, custom data models, provision for modelling complex data structures and faster access time. But they do lack in certain areas and have no strict standards and implementation mostly depends upon the vendor. Nevertheless, object-oriented databases are slowly finding their way into database market, especially in the area of large-scale databases. But the long history of relational databases keeps them alive as tough competitor and the future seems to be going towards object-relational databases.

Cryptography is the background of protecting the flowed information between various communicated parties. Quantum cryptography gives the extreme trust to transferred information by creating a unique secret key that is based upon the law of physics. This paper will discuss a novel algorithm that is presented through quantum key distribution (QKD) protocol. This QKD protocol depends on parallel quantum communications between participants within EPR and quantum channels. The proposed protocol utilizes the EPR channel to prove the authentication while the quantum channel to transfer the shared key. Moreover, the proposed protocol initiates the verification of the participant’s identity between the communicators by the EPR channel. After that the transferred data into quantum channel will create the secret key that contains a string of qubits as well as no need to communicate into classical channel.