Ac’s research while affiliated with University of Plymouth and other places

Among other things, postcolonialism claims to react against western epistemology. Although postcolonial approaches react to the traditional tendency in colonialism to silence the Other by political, social and economic structures and ideologies, non-western identity is often categorised in a way in which identity formation is argued to be based on a naturalistic process of social construction and myth-making. The way in which identity is perceived in western epistemology, including the in-Christ identity, is largely influenced by a naturalistic stance, which is a prominent tendency in western epistemology. In contrast, non-western epistemologies often perceive spiritual beings and powers to be real, which are considered to intervene in human affairs. The irony within most postcolonial approaches is thus that they critique western power structures but continue to utilise western, naturalistic epistemologies to deconstruct religious experience. In this contribution, this discrepancy is explored and evaluated against the often-misunderstood flesh-Spirit dichotomy in the Pauline corpus.

With the proliferation of underground excavations for tunnels, tunnel boring machines, known as TBM extent in industry. The machine according to different geological structure, atmosphere, etc., can affect the boring progression different. In modern mathematical studies on them three methods linear regression, neural networks and genetic algorithms to predict drilling speed and the results do indicate that the neural network with 67% accuracy is best. Genetic algorithms with 58% and regression 46% accuracy can be used for predict.

Increasing evidence documents domestic violence and abuse (DVA) and domestic homicide of adults killed by a relative in non-intimate partner relationships. Most literature focuses on intimate partner violence and homicide, yet non-intimate partner homicides form a substantial but neglected minority of domestic homicides. This article addresses this gap by presenting an analysis from 66 domestic homicide reviews (DHRs) in England and Wales where the victim and perpetrator were related, such as parent and adult child. Intimate partner homicides are excluded. These 66 DHRs were a sub-sample drawn from a larger study examining 317 DHRs in England and Wales.The article contributes towards greater understanding of the prevalence, context and characteristics of adult family homicide (AFH). Analysis revealed five interlinked precursors to AFH: mental health and substance/alcohol misuse, criminal history, childhood trauma, economic factors and care dynamics. Findings indicate that, given their contact with both victims and perpetrators, criminal justice agencies, adult social care and health agencies, particularly mental health services, are ideally placed to identify important risk and contextual factors. Understanding of DVA needs to extend to include adult family violence. Risk assessments need to be cognisant of the complex dynamics of AFH and must consider social-structural and relational-contextual factors. Key messages Understanding of domestic violence and abuse needs to include adult family violence. Risks and dynamics of adult family homicide are complex and must consider social-structural and relational-contextual factors. Criminal justice agencies, social care, substance misuse and mental health services provide opportunities for prevention. </ol

This research was designed to evaluate the growth performance of Ross broilers given diet that included hydrolyzed feather meal. Two hundred and twenty-five day-old Ross 308 broiler strains of chicken was used for the study period of eight weeks, the chicks were randomly distributed to five experimental diets namely D1 (control), D2 (Inclusion of HCL precipitated hydrolysed feather meal), D3 (Inclusion of HNO 3 precipitated hydrolysed feather meal), D4 (Inclusion of H 2 SO 4 precipitated hydrolysed feather meal) and D5 (Inclusion of H 3 PO 4 precipitated hydrolysed feather meal). Each experimental diet consisted of 45 broilers replicated thrice with 15 birds per replicate in a complete randomized design. The data obtained was caused to undergo statistical analysis. The result of proximate composition of the test ingredients of different acid-treated feather meal showed that hydrolysed feathers precipitated with HNO 3 had highest level of protein content (83.63%) compared with other acid-treated feather meal, followed by feather meal treated with HCL (82.40%), while hydrolysed feathers precipitated with H 2 SO 4 and HNO 3 had similar level of protein content. Notable differences (P<0.05) were observed across the diets for feed intake, daily weight gain, feed conversion ratio and final weight. Conclusively, the HCL hydrolysed feather meal diet performed similar to the control diet.

Nowadays data is one of the most important assets that can be obtained, as many applications rely on data to generate useful services. However, a very few number of companies control, in a centralized manner, a large portion of data. That, combined with inefficiencies in centralized storage and recent data leak scandals, highlights the need for new ways in which data is shared and consumed, in which privacy and access control is guaranteed by design. Based on that, in this paper we present an implementation of a blockchain-based data marketplace utilizing the Go Ethereum (Geth) library. The implementation consists of an IoT node powered by a raspberry pi zero W, which is utilized to collect data from the environment and store it in an InterPlanetary File System (IPFS) external server, a web page that displays the marketplace, and a private blockchain that records transactions. Regarding the private blockchain, three smart contracts are developed in order to: 1) record information about the data in the marketplace; 2) record transactions that occur between users; 3) allow sellers to white/blacklist buyers' access to the data. This implementation shows that a decentralized blockchain-based marketplace is feasible and scalable, and we hope it can serve as an early model for future frameworks.

Although several pharmacological agents are under investigation to be repurposed as therapeutic against COVID-19, not much success has been achieved yet. So, the search for an effective and active option for the treatment of COVID-19 is still a big challenge. The Spike protein (S), RNA-dependent RNA polymerase (RdRp), and Main protease (Mpro) are considered to be the primary therapeutic drug target for COVID-19. In this study we have screened the drugbank compound library against the Main Protease. But our search was not limited to just Mpro. Like other viruses, SARS-CoV-2, have also acquired unique mutations. These mutations within the active site of these target proteins may be an important factor hindering effective drug candidate development. In the present study we identified important active site mutations within the SARS-CoV-2 Mpro (Y54C, N142S, T190I and A191V). Further the drugbank database was computationally screened against Mpro and the selected mutants. Finally, we came up with the common molecules effective against the wild type (WT) and all the selected Mpro. The study found Imiglitazar, was found to be the most active compound against the wild type of Mpro. While PF-03715455 (Y54C), Salvianolic acid A (N142S and T190I), and Montelukast (A191V) were found to be most active against the other selected mutants. It was also found that some other compounds such as Acteoside, 4-Amino-N- {4-[2-(2,6-Dimethyl-Phenoxy)-Acetylamino]-3-Hydroxy-1-Isobutyl-5-Phenyl-Pentyl}-Benzamide, PF-00610355, 4-Amino-N-4-[2-(2,6-Dimethyl-Phenoxy)-Acetylamino]-3-Hydroxy-1-Isobutyl-5-Phenyl-Pentyl}-Benzamide and Atorvastatin were showing high efficacy against the WT as well as other selected mutants. We believe that these molecules will provide a better and effective option for the treatment of COVID-19 clinical manifestations.

This paper considers repeated games in which one player has a different objective than others. In particular, we investigate repeated two-player zero-sum games where the column player not only aims to minimize her regret but also stabilize the actions. Suppose that while repeatedly playing this game, the row player chooses her strategy at each round by using a no-regret algorithm to minimize her regret. We develop a no-dynamic regret algorithm for the column player to exhibit last round convergence to a minimax equilibrium. We show that our algorithm is efficient against a large set of popular no-regret algorithms the row player can use, including the multiplicative weights update algorithm, general follow-the-regularized-leader and any no-regret algorithms satisfy a property so called "stability".