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Post-Stroke Depression at Teaching Hospital Center of Libreville  [PDF]
I. A. Camara, C. M. Coulibaly, N. Diouf Mbourou, P. M. Gnigone, G. A. G. Mambila Matsalou, A. Nsounda Mandzela, L. Oura, J. Nyangui Mapaga, U. D. Kombila, M. M. Moubecka, P. N. Kouna
Open Access Library Journal (OALib Journal) , 2018, DOI: 10.4236/oalib.1105049
Abstract:
Introduction: Post-stroke depression occurs in a context of stroke characterized by sadness, loss of interest, feelings of guilt, loss of appetite, a feeling of tiredness, and a lack of concentration. Material and Methods: We conducted a descriptive cross-sectional study from January 1, 2013 to September 30, 2016. For the diagnosis of post-stroke depression, neuropsychological tests (DSM-IV and MADRS) were used. The collection approach was a maintenance survey followed by an examination. Results: From 153 stroke patients, 48.4% (n = 74) had post-stroke depression. Depressed mood was noted in 50.3% and 43.8% had a marked decrease in interest. 67.9% of these patients had a primary level of education. Widows had 4.2 times the risk of post-stroke depression, and married and retired patients were 3 times more likely than public servants. The occurrence of post-stroke depression was significantly related to the presence of motor deficit in our patients, p < 0.0001. Conclusion: These results suggest that the risk of developing depression after stroke increases with the motor deficit. The DSM-IV and MADRS scores remain neuropsychological examinations of choice for the diagnostic approach.
Slow Spinal Cord Compression Inducing by Malignant Peripheral Nerve Sheath Tumors in Cotonou  [PDF]
D. Gnonlonfoun, C. Adjien, J. Nyangui Mapaga, L. Hode, G. Goudjinou, A. Sowanou, R. Domingo, P. Gnigone, G. Mambila, D. Affanou, P. H. Kouna Ndouongo, D. Houinato
Neuroscience & Medicine (NM) , 2018, DOI: 10.4236/nm.2018.91004
Abstract: MPNST is a very uncommon malignant type of neoplasm. It is often associated with neurofibromatosis type 1 (von Recklinghausen disease). It involves large anatomical regions, and thus takes on varied clinical presentations. However, bone location of MPNST, particularly in the spinal canal has been poorly described in the literature. We hereby report the case of a 29-year old young man with MPNST in the spinal canal. He presented a slow spinal cord compression confirmed by spinal MRI. MPNST was revealed through histologic and immune histochemical features after tumor resection.
Dielectric Property Studies of Biologically Compatible Brushite Single Crystals Used as Bone Graft Substitute  [PDF]
M. P. Binitha, P. P. Pradyumnan
Journal of Biomaterials and Nanobiotechnology (JBNB) , 2013, DOI: 10.4236/jbnb.2013.42016
Abstract:

The electrical characterization of bone is essential for the better understanding of the role of electrical stimulation in bone remodeling. Calcium Hydrogen Phosphate Dihydrate or brushite (CaHPO4 2H2O) has been used in bone substitution owing to their fast resorption under physiological condition. Brushite is a suitable matrix for osteoconductive bone grafts. In this work, Calcium Hydrogen Phosphate single crystals have been grown by single diffusion gel growth technique. The powder XRD studies revealed the monoclinic structure of the grown crystals. The vibrational analysis of the crystals is done with FTIR spectroscopy and the major functional groups and their assigned vibrations are discussed. The frequency dependence of dielectric constant and ac conductivity at different temperatures have been studied in detail. This study shows decrease in the dielectric constant with the increase in frequency and temperature. The variation of ac conductivity is found to be increasing with frequency and decreasing with temperature.

Validation of PSIAC Model for Sediment Yields Estimation in Ungauged Catchments of Tanzania  [PDF]
P. M. Ndomba
International Journal of Geosciences (IJG) , 2013, DOI: 10.4236/ijg.2013.47104
Abstract:

The main objective of this paper is to report on preliminary validation results of the newly applied sediment yields estimation model in Tanzania, the Pacific Southwest Inter-Agency Committee (PSIAC). This is a follow-up research on the call to customize simple and/or multi-processes sediment yields estimation models such as PSIAC in the region. The PSIAC approach is based on a sediment yield classification scheme employing individual drainage basin characteristics: surface geology, soils, climate, runoff, topography, ground cover, land use, upland erosion, channel erosion, and sediment transport. In this study, PSIAC model is built from readily available environmental variables sourced from Government ministries/agencies and public domain global spatial data. The sediment classification exercise was verified with field observations. The set up model was then validated by 31 small dams’ siltation surveys and previous sedimentation study findings. PSIAC model performance for major part of central Tanzania was good during calibration (BIAS = 7.88%) and validation (BIAS = 18.12%). Another observation was that uncalibrated model performs fairly well, though performance improves with calibration. The extension of the uncalibrated PSIAC model to 3 selected large basins of Tanzania, with drainage areas size up to 223,000 km2, registered a satisfactory performance in one of them with fair performance in the rest. For large

Heat Flux Modulation in Domino Dynamo Model  [PDF]
M. Reshetnyak, P. Hejda
Open Journal of Geology (OJG) , 2013, DOI: 10.4236/ojg.2013.32B013
Abstract:

Using the domino dynamo model, we show how specific axisymmetric and equatorial symmetric forms of the heat flux variations at the core-mantle boundary change the frequency of the geomagnetic field reversals. In fact, we are able to demonstrate the effect known from the modern 3D planetary dynamo models using an ensemble of interacting spins, which obey equations of the Langevin type with a random force. We also consider applications to the giant planets and offer explanations of some specific episodes of the geomagnetic field in the past.

Numerical Procedures for Calculating the Probabilities of Recurrent Runs  [PDF]
M. P. Silverman
Open Journal of Statistics (OJS) , 2014, DOI: 10.4236/ojs.2014.42014
Abstract:

Run count statistics serve a central role in tests of non-randomness of stochastic processes of interest to a wide range of disciplines within the physical sciences, social sciences, business and finance, and other endeavors involving intrinsic uncertainty. To carry out such tests, it is often necessary to calculate two kinds of run count probabilities: 1) the probability that a certain number of trials results in a specified multiple occurrence of an event, or 2) the probability that a specified number of occurrences of an event take place within a fixed number of trials. The use of appropriate generating functions provides a systematic procedure for obtaining the distribution functions of these probabilities. This paper examines relationships among the generating functions applicable to recurrent runs and discusses methods, employing symbolic mathematical software, for implementing numerical extraction of probabilities. In addition, the asymptotic form of the cumulative distribution function is derived, which allows accurate runs statistics to be obtained for sequences of trials so large that computation times for extraction of this information from the generating functions could be impractically long.

Statistical Analysis of Subsurface Diffusion of Solar Energy with Implications for Urban Heat Stress  [PDF]
M. P. Silverman
Journal of Modern Physics (JMP) , 2014, DOI: 10.4236/jmp.2014.59085
Abstract:

Analysis of hourly underground temperature measurements at a medium-size (by population) US city as a function of depth and extending over 5+ years revealed a positive trend exceeding the rate of regional and global warming by an order of magnitude. Measurements at depths greater than ~2 m are unaffected by daily fluctuations and sense only seasonal variability. A comparable trend also emerged from the surface temperature record of the largest US city (New York). Power spectral analysis of deep and shallow subsurface temperature records showed respectively two kinds of power-law behavior: 1) a quasi-continuum of power amplitudes indicative of Brownian noise, superposed (in the shallow record) by 2) a discrete spectrum of diurnal harmonics attributable to the unequal heat flux between daylight and darkness. Spectral amplitudes of the deepest temperature time series (2.4 m) conformed to a log-hyperbolic distribution. Upon removal of seasonal variability from the temperature record, the resulting spectral amplitudes followed a log-exponential distribution. Dynamical analysis showed that relative amplitudes and phases of temperature records at different depths were in excellent accord with a 1-dimensional heat diffusion model.

Cheating or Coincidence? Statistical Method Employing the Principle of Maximum Entropy for Judging Whether a Student Has Committed Plagiarism  [PDF]
M. P. Silverman
Open Journal of Statistics (OJS) , 2015, DOI: 10.4236/ojs.2015.52018
Abstract: Elements of correspondence (“coincidences”) between a student’s solutions to an assigned set of quantitative problems and the solutions manual for the course textbook may suggest that the stu-dent copied the work from an illicit source. Plagiarism of this kind, which occurs primarily in fields such as the natural sciences, engineering, and mathematics, is often difficult to establish. This paper derives an expression for the probability that alleged coincidences in a student’s paper could be attributable to pure chance. The analysis employs the Principle of Maximum Entropy (PME), which, mathematically, is a variational procedure requiring maximization of the Shannon-Jaynes entropy function augmented by the completeness relation for probabilities and known information in the form of expectation values. The virtue of the PME as a general method of inferential reasoning is that it generates the most objective (i.e. least biased) probability distribution consistent with the given information. Numerical examination of test cases for a range of plausible conditions can yield outcomes that tend to exonerate a student who otherwise might be wrongfully judged guilty of cheating by adjudicators unfamiliar with the surprising properties of random processes.
Effects of a Periodic Decay Rate on the Statistics of Radioactive Decay: New Methods to Search for Violations of the Law of Radioactive Change  [PDF]
M. P. Silverman
Journal of Modern Physics (JMP) , 2015, DOI: 10.4236/jmp.2015.611157
Abstract: It is a long-held tenet of nuclear physics, from the early work of Rutherford and Soddy up to present times that the disintegration of each species of radioactive nuclide occurs randomly at a constant rate unaffected by interactions with the external environment. During the past 15 years or so, reports have been published of some 10 or more unstable nuclides with non-exponential, periodic decay rates claimed to be of geophysical, astrophysical, or cosmological origin. Deviations from standard exponential decay are weak, and the claims are controversial. This paper examines the effects of a periodic decay rate on the statistical distributions of 1) nuclear activity measurements and 2) nuclear lifetime measurements. It is demonstrated that the modifications to these distributions are approximately 100 times more sensitive to non-standard radioactive decay than measurements of the decay curve, power spectrum, or autocorrelation function for corresponding system parameters.
Motivating Students to Learn Science: A Physicist’s Perspective  [PDF]
M. P. Silverman
Creative Education (CE) , 2015, DOI: 10.4236/ce.2015.618203
Abstract: The objective of this article is to make explicit some concrete ways in which an accurate perspective of what science is contributes significantly to improving science teaching. Effective science teaching begins with the recognition that for both practising scientists and students the desire to find answers to personally meaningful questions about natural phenomena is the strongest incentive to study science. Instructional methods that nurture and draw upon the curiosity of students have the best chance to motivate students to learn science. Teaching in this way entails helping students 1) to see the conceptual relevance, utility, and aesthetic dimension of what they are studying; 2) to appreciate the need for, and power of, rational thinking in problem solving; 3) to undertake their own exploratory projects to investigate some aspect of the physical world that interests them. For science teachers to do this well, they must, themselves, a) be knowledgeable of the science they teach, b) keep abreast of advances in their areas of interest, and c) develop their own experimental and observational skills so they can teach with confidence based on personal experience.
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