Coherent State Control of Non-Interacting Quantum Entanglement

We exploit a novel approximation scheme to obtain a new and compact formula for the parameters underlying coherent-state control of the evolution of a pair of entangled two-level systems. It is appropriate for long times and for relatively strong external quantum control via coherent state irradiation. We take account of both discrete-state and continuous-variable degrees of freedom. The formula predicts the relative heights of entanglement revivals and their timing and duration.Comment: Published in PRA, 10 pages, 7 figure

Final results of nu-e-bar electron scattering cross-section measurements and constraints on new physics

The nu-e-bar electron elastic scattering cross-section was measured with a CsI(Tl) scintillating crystal detector array with a total mass of 187 kg at the Kuo-Sheng Nuclear Power Station. The detectors were exposed to a reactor nu-e-bar flux of 6.4 X 10^{12} cm^{-2}s^{-1} originated from a core with 2.9 GW thermal power. Using 29882/7369 kg-days of Reactor ON/OFF data, the Standard Model (SM) of electroweak interaction was probed at the 4-momentum transfer range of Q^2 ~ 3 X 10^{-6} GeV^2. A cross-section ratio of R_{expt} = [1.08 +- 0.21(stat) +- 0.16(sys)] X R_{SM} was measured. Constraints on the electroweak parameters (g_V,g_A) were placed, corresponding to a weak mixing angle measurement of \s2tw = [0.251 +- 0.031(stat) +- 0.024(sys)]. Destructive interference in the SM nu-e-bar+e processes was verified. Bounds on neutrino anomalous electromagnetic properties (neutrino magnetic moment and neutrino charge radius), non-standard neutrino interactions, upparticle physics and non-commutative physics were placed. We summarize the experimental details and results, and discuss projected sensitivities with realistic and feasible hardware upgrades.Comment: 4 pages, 4 figures, 2 tables ; To appear in Proceedings of TAUP-2011 Conferenc

Reducing the Burden of Aerial Image Labelling Through Human-in-the-Loop Machine Learning Methods

This dissertation presents an introduction to human-in-the-loop deep learning methods for remote sensing applications. It is motivated by the need to decrease the time spent by volunteers on semantic segmentation of remote sensing imagery. We look at two human-in-the-loop approaches of speeding up the labelling of the remote sensing data: interactive segmentation and active learning. We develop these methods specifically in response to the needs of the disaster relief organisations who require accurately labelled maps of disaster-stricken regions quickly, in order to respond to the needs of the affected communities. To begin, we survey the current approaches used within the field. We analyse the shortcomings of these models which include outputs ill-suited for uploading to mapping databases, and an inability to label new regions well, when the new regions differ from the regions trained on. The methods developed then look at addressing these shortcomings. We first develop an interactive segmentation algorithm. Interactive segmentation aims to segment objects with a supervisory signal from a user to assist the model. Work within interactive segmentation has focused largely on segmenting one or few objects within an image. We make a few adaptions to allow an existing method to scale to remote sensing applications where there are tens of objects within a single image that needs to be segmented. We show a quantitative improvements of up to 18% in mean intersection over union, as well as qualitative improvements. The algorithm works well when labelling new regions, and the qualitative improvements show outputs more suitable for uploading to mapping databases. We then investigate active learning in the context of remote sensing. Active learning looks at reducing the number of labelled samples required by a model to achieve an acceptable performance level. Within the context of deep learning, the utility of the various active learning strategies developed is uncertain, with conflicting results within the literature. We evaluate and compare a variety of sample acquisition strategies on the semantic segmentation tasks in scenarios relevant to disaster relief mapping. Our results show that all active learning strategies evaluated provide minimal performance increases over a simple random sample acquisition strategy. However, we present analysis of the results illustrating how the various strategies work and intuition of when certain active learning strategies might be preferred. This analysis could be used to inform future research. We conclude by providing examples of the synergies of these two approaches, and indicate how this work, on reducing the burden of aerial image labelling for the disaster relief mapping community, can be further extended

ON SURFACES CONSTRUCTED BY EVOLUTION ACCORDING TO QUASI FRAME

The present paper presents evolutions of spherical indicatrix of a space curve according to the quasi-frame. Then, some geometric properties of these surfaces constructed by evolutions have been obtained. At the end, illustrative examples of the spherical images of a space curve have been presented. 

Impacts of Nigerian Television Authority (NTA) Reportage on Abeokuta Residents’ Opinion of Corruption in Buhari's Administrations (2015-2023)

This study examined the impacts of Nigerian Television Authority (NTA) reportage on Abeokuta residents' opinion of corruption in Buhari's administrations (2015-2023). The objectives were to find out the level of Abeokuta residents' awareness of NTA reportage on corruption in Buhari's administration; examine Abeokuta residents' opinion of NTA's objectivity in reporting corruption during Buhari's administration and ascertain Abeokuta residents' opinion on the impacts of NTA’s corruption reportage in Buhari's administration. The Agenda setting theory was the theoretical framework. Survey served as research design while questionnaire was the instrument for data collection. The researchers found that NTA's corruption reportage during Buhari's administration had both positive and negative impacts. The positive impacts include increased pressure on the government to curb corruption, strengthened anti-corruption agencies, and recovery of stolen funds. Based on the findings, it was recommended among other things that the media should give more attention to the issue of corruption to set the agenda for the public to focus on this important issue and that this can be achieved by increasing the frequency and depth of coverage of corruption-related issues

Sudden Death of Entanglement of Two Jaynes-Cummings Atoms

We investigate entanglement dynamics of two isolated atoms, each in its own Jaynes-Cummings cavity. We show analytically that initial entanglement has an interesting subsequent time evolution, including the so-called sudden death effect.Comment: 3 pages, 3 figure

Hepatoprotective Activity of Hemidesmus Indicus in Ethanol Induced Hepatotoxicity

In the present study, the Hemidesmus indicus was selected to evaluate its hepatoprotective effect in preclinical models. The Hemidesmus indicus was evaluated for hepatoprotective activity in Ethanol induced liver toxicity in experimentally induced hepatotoxic rats. Extraction and preliminary phytochemical studies of Hemidesmus indicus revealed the presence of, carbohydrates, steroids, flavonoids, saponins and tannins. Acute oral toxicity study was performed to find out the test dose according to OECD 425 guidelines and HASA was found to be safe at a dose of 2000 mg/kg, b.w. Hepatoprotective activity was studied against Ethanol induced hepatotoxicity, using silymarin (100 mg/kg) body wt as a standard reference. The physical parameters such as wet liver weight and wet liver volume, biochemical parameters (SGPT, SGOT, ALP, BILD, BILT and TP) levels, endogenous enzymes (GSH, SOD, CAT and LPO) level and histopathology of liver were also studied. The maximum effect was seen with 400 mg/kg dose of the extract than the 200 mg/kg in hepatoprotective study. The investigation undertaken was aimed to study hepatoprotective activity of Hemidesmus indicus demonstrated the usefulness and beneficial effects in the treatment of liver disorder induced by Ethanol. The findings of the present study concluded that Hemidesmus indicus witnessed a dose dependent significant hepatoprotective activity. The treatment with Hemidesmus indicus could able to restore the organ (liver) weight and volume at considerable range, which were elevated in hepatotoxic animals, hence proving organ protective activity.The hepatoprotective activity was found to be more significant in high dose (HI-400 mg/kg) compared to low dose (HI-200 mg/kg) in both the animal models. The hepatoprotective potential of Hemidesmus indicus in both the experimental model may be due to the presence of flavonoids, saponins and other polyphenolic compounds which are attributed for the antioxidant activity. The exact mechanism for the hepatoprotective activity of Hemidsmus indicus is still unknown and the protection level was found to be at considerable range. Hence further studies are needed to isolate, characterize the active principles and to find out the exact mechanism responsible for its hepatoprotective activity