Natural & Applied Sciences

Research Papers/Topics Natural & Applied Sciences

Some mew and generalized families of probability distributions with applications

Abstract: Some new generalized distributions called the new Gamma Lindley-Log-logistic (GLLLoG) distribution, new Weibull Generalised-G (NWG-G) family of distributions and the Exponentiated Half-Logistic Odd Lindley-G family of distributions are proposed and presented. These distributions contain several distributions such as Half-Logistic, Odd Lindley, Lindley, Log-Logistic, new-Rayleigh generalized-G, new exponential generalized-G, new Rayleigh-G and the new-Weibull-G family of distributio...

BA-LEACHC: biphase authentication based LEACH-C protocol for wireless sensor networks

Abstract: The intention in Wireless Sensor Networks (WSNs) is to group sensed raw facts from geographical area under monitoring. Yet, sensor nodes sometimes report tempered (falsified) information resulting from malicious nodes. Hence, various studies recommend pre-identification of malicious node as essential for reliable and healthy networks. Different techniques have been proposed to deal with bogus sensor nodes in WSNs, ranging from authentication to trust based approaches. In this ...

Dung beetles’ responses to changing environments; implications on ecosystem service delivery

Abstract: Dung beetles are coprophagous insects belonging to the families Scarabaeidae and Geotrupidae. They are a very important insects’ group, acting as significant ecosystem engineers through dung burial, decomposition, nutrient cycling, bioturbation and seed dispersal in natural and human managed systems. Despite these benefits, most essential ecosystem services are not economically quantified and as such, their roles as natural capital in natural and human managed systems have la...

Modelling substance abuse in Botswana in presence of multiple amelioration stages and outpatient rehabilitation, optimal control and fractional-order dynamics

Abstract: Substance abuse in Botswana is a growing problem with a variety of drugs being abused including cocaine, heroin, methamphetamine, marijuana and alcohol among others. At the front line of attempting to address the drug abuse problem is the Botswana Substance Abuse and Support Network (BoSASNet) which operates outpatient rehabilitation and support ser vices that constitute its clinical programme. Due to the criminalisation and stigma associated with drug use and dealing in drugs, the...

Metallo-Drugs as Promising Antibacterial Agents and Their Modes of Action,

Abstract: Antibiotic resistance has been a growing worldwide public health issue. The World Health Organization (WHO) has stated that the search for new antibiotics is slow, while antibiotic resistance is growing. WHO has also declared that antibiotic resistance is one of the top 10 global public health threats facing humanity in the 21st century. Therefore, this review discusses the potential of metal-based drugs as antibacterial agents from the period of the early 2000s to date. The review...

Efficient Active Learning Constrains for Improved Semi-Supervised Clustering Performance

Abstract: This paper presents a semi supervised clustering technique with incremental and decremented affinity propagation (ID-AP) that structures labeled exemplars into the AP algorithm and a new method for actively selecting informative constraints to make available of improved clustering performance. The clustering and active learning methods are both scalable to large data sets, and can hold very high dimensional data. In this paper, the active learning challenges are examined to choose ...

A predictive typological content retrieval method for real-time application using multilingual natural language processing

Abstract: Natural language processing (NLP) is widely used in multi-media real-time applications for understanding human interactions through computer aided-analysis. NLP is common in auto-filling, voice recognition, typo-checking applications, and so forth. Multilingual NLP requires vast data processing and interaction recognition features for leveraging content retrieval precision. To strengthen this concept, a predictive typological content retrieval method is introduced in this article. ...

Feature Selection Methods: a Survey for Effective Data Classification

Abstract: Data is growing every day. This daily growing data is called Big Data. The capturing and accessing and preserving of these data is different and difficult. If capturing and preserving of data became very difficult, then classifying data according to the need is also a difficult process. These modern days datasets are high dimensional that is with hundreds of features and keeps on increasing in future. But these hundreds of data are not required for an effective data classification....

Synthesis, characterization of nitro or amino substituted pyridyl ligands bridged by an ester or ether bond, and their antibacterial assessment against drug resistant bacteria.

Abstract: A series of ester and ether bridged compounds bearing the nitro and amino moieties were synthesized and characterized, in order to assess their ability to potentially serve as antibacterial agents against drug resistant bacteria. All the compounds were obtained at considerable yields while characterization techniques confirmed their successful synthesis. Furthermore, their antimicrobial assessments showed that all the compounds exhibited antibacterial activity against the Gram-nega...

Similarity-Based Gene Duplication Prediction in Protein-Protein Interaction Using Deep Artificial Ecosystem Network

Abstract: In the living organism, almost entire cell functions are performed by protein-protein interactions. As experimental and computing technology advances, yet more Protein-Protein Interaction (PPI) data becomes processed, and PPI networks become denser. The traditional methods utilize the network structure to examine the protein structure. Still, it consumes more time and cost and creates computing complexity when the system has gene duplications and a complementary interface. This res...

A review of deep learning models to detect malware in Android applications

Abstract: Android applications are indispensable resources that facilitate communication, health monitoring, planning, data sharing and synchronization, social interaction, business and financial transactions. However, the rapid increase in the smartphone penetration rate has consequently led to an increase in cyberattacks. Smartphone applications use permissions to allow users to utilize different functionalities, making them susceptible to malicious software (malware). Despite the rise in ...

A Novel Approach for Analysis and Prediction of Students Academic Performance Using Machine Learning Algorithms

Abstract: Educational data mining has become an efective tool for exploring the hidden relationships in educational data and predicting students’ academic performance. The prediction of student academic performance has drawn considerable attention in education. However, although the learning outcomes are believed to improve learning and teaching, prognosticating the attainment of student outcomes remains underexplored. To achieve qualitative education standard, several attempts have been m...

Ecotourism success story in Zimbabwe: The case of Tsholotsho CAMPFIRE project

Abstract: This study exposes the untold success story of Zimbabwe's ecotourism projects. Literature is awash with publications on the failure by Zimbabwe to come up with, and run sustainable ecotourism projects that significantly benefit the community with very little or no effort being put on telling the positive side of the ecotourism story. It is against this background that the researchers, using an exploratory design, investigated the story of the Ngamo CAMPFIRE project in Tsholots...

Four Pillars of the Green University Soft Infrastructure: Towards a Non-Linear Model of Innovation

Abstract: Universities are isomorphic not because of the effectiveness of their processes but because of the legitimacy assigned by institutional logic. However, sustainable development discourses invoke a novel mission for producing knowledge and innovation for sustainable development. Accordingly, this research collected data from five types of internal stakeholders’ intellections of the four pillars of green university infrastructure. The analysis of data collected from 89 universit...

Distribution Efficiency of E-services in the Health Insurance Sector : The Case of Botswana

Abstract: Nowadays customers have become empowered by information communication technologies. This state of customers has brought enormous pressure to bear on organizations, thus, organizations have to stay relevant, market-oriented and profitable. The insurance sector is one that is constantly challenged by its exposure to ICT and the associated need for e-services by myriad customers. With increasing competition in the health insurance environment, it is necessary for the sector to underst...


946 - 960 Of 8855 Results
@