Academic Staff Perception on Effective Planning of Information and Communication Technology (ICT) in Distance Learning Programme

This study investigated the academic staff perception on effective planning of Information and Communication Technology (ICT) in distance learningprogramme. A research question and null hypothesis guided the conduct ofthe study. The survey design was adopted and a researcher - developedquestionnaire containing 18 items was used to collect data from 259academic staff in the tertiary institutions in Anambra State. Mean and t-test were used in answering the research question and null hypothesis.Prominent among the major findings of the study were the use of electronic mail (e-mail), electronic notice board, internet, video conferencing, facsimile machine (fax), disc player, satellite telecommunication, slide audio cassetteetc in distance learning programme. It was recommended that:Government/institutions should provide among other things, a website or beconnected to internet and procure up to date computers with genuine spareparts and competent computer operators. Again, government should liaisewith media houses, information and communication technology providersand other relevant bodies in enhancing distance learning

Effect of Some Phytohormones on Growth Characteristics of Chlorella sorokiniana IAM-C212 under Photoautotrophic Conditions

The effects of some phytohormones [indole acetic acid (IAA), indole butyric acid (IBA), gibelleric acid (GA3), and kinetin] on cell dry weight, cell number, cell size, protein and chlorophyll contents of Chlorella sorokiniana IAM-C212 were investigated under photoautotrophic conditions. Treatment with IAA (15 mg/l) and IBA (15 mg/l) resulted in significantly higher dry cell weight and cell number than the control (P < 0.05) but there were no significant effects of GA3 and kinetin on cell growth as expressed by dry cell concentration (g/l) and cell population (cells/ml). Treatment with IAA at a concentration of 10 or 15 mg/l gave the highest cell dry concentration of 4.68 g/l after eight days of cultivation, which is more than 9 times higher than the value obtained in the control culture (without phytohormone). The optimum concentration of each of the phytohormones for C. sorokiniana cell enlargement was 20 mg/l. At this concentration, the average cell sizes were 81.07, 78.67, 78.07, 66.90 and 68.1 μm for GA3, kinetin, IAA, IBA and control, respectively. Addition of 15 mg/l of IAA or GA3 to the culture resulted in significantly higher extractable chlorophyll contents than the control (P < 0.05) but the effects of IBA and kinetin were not significant (P > 0.05). The protein contents of the cells cultivated with 20 or 10 mg/l of GA3, 15 mg/l of kinetin, and 15 mg/l of IBA or IAA were 46.64, 45.83 and 45.81%, respectively. In the control experiment, the protein content was 43.38% after eight days of cultivation, showing that treatment with these phytohormones had no significant effect on the protein contents of the cells (P > 0.05). Combination of IBA and GA3 exhibited synergistic effect on growth and productivity of C. sorokiniana but there was no synergistic effect when IAA was combined with either GA3 or kinetin.Keywords: Phytohormones, Chlorella sorokiniana, Cell Growth, Cell Size, Protein Content, Chlorophyll Conten

Effective p-value computations using Finite Markov Chain Imbedding (FMCI): application to local score and to pattern statistics

The technique of Finite Markov Chain Imbedding (FMCI) is a classical approach to complex combinatorial problems related to sequences. In order to get efficient algorithms, it is known that such approaches need to be first rewritten using recursive relations. We propose here to give here a general recursive algorithms allowing to compute in a numerically stable manner exact Cumulative Distribution Function (CDF) or complementary CDF (CCDF). These algorithms are then applied in two particular cases: the local score of one sequence and pattern statistics. In both cases, asymptotic developments are derived. For the local score, our new approach allows for the very first time to compute exact p-values for a practical study (finding hydrophobic segments in a protein database) where only approximations were available before. In this study, the asymptotic approximations appear to be completely unreliable for 99.5% of the considered sequences. Concerning the pattern statistics, the new FMCI algorithms dramatically outperform the previous ones as they are more reliable, easier to implement, faster and with lower memory requirements

Corticospinal excitability modulation by pairing peripheral nerve stimulation with cortical states of movement initiation

KEY POINTS: We compare the effects on corticospinal excitability of repeatedly delivering peripheral nerve stimulation at three time points (-30 ms, 0 ms, +50 ms) relative to muscle onset in a cue-guided task. Plastic changes in excitability are only observed when stimuli are delivered immediately before the time when muscles activate, while stimuli delivered at muscle onset or shortly later (0, +50 ms) have no effect. Plastic effects are abolished if there is ongoing volitional EMG activity in the muscles prior to onset of the phasic contraction. The plastic effects induced by timing peripheral stimulation relative to electromyographic markers of muscle activation are as effective as those that occur if stimulation is timed relative to electroencephalographic markers of motor cortical activation. We provide a simple alternative protocol to induce plasticity in people in whom EEG recording is difficult. ABSTRACT: Plastic changes in corticospinal excitability (CSE) and motor function can be induced in a targeted and long-term manner if afferent volleys evoked by peripheral nerve stimulation are repeatedly associated with the peak of premovement brain activity assessed with electroencephalography (EEG). Here we ask whether other factors might also characterise this optimal brain state for plasticity induction. In healthy human volunteers (N = 24) we find that the same reliable changes in CSE can be induced by timing peripheral afferent stimulation relative to the electromyography (EMG) onset rather than using the EEG peak. Specifically, we observed an increase in CSE when peripheral stimulation activated the cortex just before movement initiation. By contrast, there was no effect on CSE if the afferent input reached the cortex at the same time or after EMG onset, consistent with the idea that the temporal order of synaptic activation from afferent input and voluntary movement is important for production of plasticity. Finally, in 14 volunteers we found that background voluntary muscle activity prior to movement also abolished the effect on CSE. One possible explanation is that the intervention strengthens synapses that are inactive at rest, but change their activity in anticipation of movement, and that the intervention fails when the synapses are tonically active during background EMG activity. Overall, we demonstrate that, in individuals with voluntary control of muscles targeted by our intervention, EMG signals are a suitable alternative to EEG to induce plasticity by coupling movement-related brain states with peripheral afferent input. This article is protected by copyright. All rights reserved

Exponential ergodicity of the jump-diffusion CIR process

In this paper we study the jump-diffusion CIR process (shorted as JCIR), which is an extension of the classical CIR model. The jumps of the JCIR are introduced with the help of a pure-jump L\'evy process $(J_t, t \ge 0)$. Under some suitable conditions on the L\'evy measure of $(J_t, t \ge 0)$, we derive a lower bound for the transition densities of the JCIR process. We also find some sufficient condition guaranteeing the existence of a Forster-Lyapunov function for the JCIR process, which allows us to prove its exponential ergodicity.Comment: 14 page

Biospectroscopy of Nanodiamond-Induced Alterations in Conformation of Intra- and Extracellular Proteins: A Nanoscale IR Study

The toxicity of nanomaterials raises major concerns because of the impact that nanomaterials may have on health, which remains poorly understood. We need to explore the fate of individual nanoparticles in cells at nano and molecular levels to establish their safety. Conformational changes in secondary protein structures are one of the main indicators of impaired biological function and hence, the ability to identify these changes at a nanoscale level offers unique insights into the nanotoxicity of materials. Here, we used nanoscale infrared spectroscopy and demonstrated for the first time that nanodiamonds induced alterations in both extra- and intracellular secondary protein structures, leading to the formation of antiparallel β-sheet, β-turns, intermolecular β- sheet and aggregation of proteins. These conformational changes of the protein structure may result in the loss of functionality of proteins and in turn lead to adverse effects

The Clinical Utility of SUDOSCAN in Chronic Kidney Disease in Chinese Patients with Type 2 Diabetes

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