Development of Handwriting Recognition System in Postal Service Sector

Handwriting recognition is a comparatively popular research due to its diverse applicable environment. It helps to solve complicated problems and at the same time, it reduces manpower consumption. This paper proposes a system for recognizing online handwritten characters by using KNearest Neighbor (KNN). General steps of an algorithm are: (1) capturing the postcode and name of district area by using external web camera, (2) performing image processing on the image, (3) creating input data for KNN by extracting vital feature from each character, (4) classifying the dataset using KNN algorithm and performing recognition during the test, and (5) providing result of the recognition. The experiment was carried out in the aspect of text font size, the density of text and light intensity of background text. Experiment results show that training sets, trained inputs and untrained inputs achieved reasonably good result with an accuracy rate of 100%, 87.54% and 75.35% respectively. For processing time, the training sets consumed the lowest processing time which is 195.32ms, followed by trained inputs with 201.30ms and untrained inputs with 204.98ms. Additionally, medium font size, high-density text and optimum intensity of the background text managed to achieve high accuracy rate and low processing time. In this way, the system is able to help the postal services sector to speed up the sorting process as well as reducing manpower consumption in the sorting unit at the same time. Overall, the system has fulfilled the objective of the project, which is to propose high accuracy and short processing time of the handwriting recognition system

Traditional medicines and alternative practice in the management of prostate diseases in southern Ghana

Objective: This study was aimed at identifying Ghanaian traditional medicines used for the management of prostate diseases and their constituents. Reviews of studies conducted on them are also presented.Methodology: This was a prospective study. Traditional Medicine samples from consecutive patients with either lower urinary symptoms (LUTS) presenting at the Urology Unit of the Korle Bu Teaching Hospital (KBTH) in Accra from January 2015 to June 2016 and had a prior treatment with traditional medicines, had the samples retrieved. Additionally, all the 58 licensed pharmaceutical shops in Okaishie, a whole sale and retail depot for medicines in themain business district of Accra, were visited and traditional medicines for the management of prostate diseases acquired. The products constituent as labeled were documented and entered once on a proforma. This study was part of a study on the management of benign prostate hyperplasia at the KBTH approved by the Medical Directorate. The findings were analyzed and presented using descriptive statistics and presented as a table.Results: Eleven products were identified with the main indigenous medicinal plant identified being the root extract of Croton membranaceus. This was the constituent in four products (Uro 500®, UR-Quick mixture®, Prostacure® and prostat®60). Although studies on the basic pharmacology and animal studies have confirmed its effect on the prostate, only one clinical study was identified.Conclusion: Croton membranaceus was the indigenous traditional medicine identified for relieving LUTS due to prostate disease. There is the need for empirical evidence on its efficacy in treating Prostate cancer.Funding: Not declaredKeywords: Benign prostate hyperplasia, Prostate cancer, traditional medicine, Croton membranaceu

Carrier thermal escape in families of InAs/InP self-assembled quantum dots

We investigate the thermal quenching of the multimodal photoluminescence from InAs/InP (001) self-assembled quantum dots. The temperature evolution of the photoluminescence spectra of two samples is followed from 10 K to 300 K. We develop a coupled rate-equation model that includes the effect of carrier thermal escape from a quantum dot to the wetting layer and to the InP matrix, followed by transport, recapture or non-radiative recombination. Our model reproduces the temperature dependence of the emission of each family of quantum dots with a single set of parameters. We find that the main escape mechanism of the carriers confined in the quantum dots is through thermal emission to the wetting layer. The activation energy for this process is found to be close to one-half the energy difference between that of a given family of quantum dots and that of the wetting layer as measured by photoluminescence excitation experiments. This indicates that electron and holes exit the InAs quantum dots as correlated pairs

Genistein Precipitated Hypothyroidism, Altered Leptin and C-Reactive Protein Synthesis in Pregnant Rats

Summary: Genistein is an isoflavone constituent of soya. This study examined the mechanism by which genistein produced adverse effects in pregnant laboratory rats. Pregnant rats were divided into control (Con) and genistein (Gen) force fed (2 mg/kg) groups. At terminal gestation day (GD) ranging from 0-20, the rats were sacrificed, and blood samples and amniotic fluids were collected. Thyroid hormone, C-reactive protein (CRP) and leptin assay was carried using the blood samples. Leptin was also assayed in the placenta and amniotic fluid supernatant. Oral exposure of pregnant rats to genistein significantly altered maternal T3, (GD18; Con 1.65 ± 0.01, Gen 1.03 ± 0.04 nmol/L), T4 (GD6; Con 29.60 ± 0.00, Gen 36.04 ± 1.29 nmol/L), Leptin (Placenta GD20; Con 0.08 ± 0.01, Gen 0.31 ± 0.02 ng/ml, amniotic fluid ;GD 20; Con 0.02 ± 0.00, Gen 0.35 ± 0.05 ng/ml) in genistein group. These changes were accompanied with loss of embryonic implants and a decrease in fetal and placental weights. The CRP level was significantly decreased and increased at the onset and toward late pregnancy respectively. Oral exposure of pregnant rats to genistein precipitated hypothyroidism, altered some metabolic hormones with a reduction in fetal and placental growth and increased resorption of embryonic implants.Keywords: Genistein, embryonic implants, pregnancy, thyroid hormone, leptin, C - reactive protein

Elucidation of Short Linear Motif-Based Interactions of the FERM Domains of Ezrin, Radixin, Moesin, and Merlin

The ERM (ezrin, radixin, and moesin) family of proteins and the related protein merlin participate in scaffolding and signaling events at the cell cortex. The proteins share an N-terminal FERM [band four-point-one (4.1) ERM] domain composed of three subdomains (F1, F2, and F3) with binding sites for short linear peptide motifs. By screening the FERM domains of the ERMs and merlin against a phage library that displays peptides representing the intrinsically disordered regions of the human proteome, we identified a large number of novel ligands. We determined the affinities for the ERM and merlin FERM domains interacting with 18 peptides and validated interactions with full-length proteins through pull-down experiments. The majority of the peptides contained an apparent Yx[FILV] motif; others show alternative motifs. We defined distinct binding sites for two types of similar but distinct binding motifs (YxV and FYDF) using a combination of Rosetta FlexPepDock computational peptide docking protocols and mutational analysis. We provide a detailed molecular understanding of how the two types of peptides with distinct motifs bind to different sites on the moesin FERM phosphotyrosine binding-like subdomain and uncover interdependencies between the different types of ligands. The study expands the motif-based interactomes of the ERMs and merlin and suggests that the FERM domain acts as a switchable interaction hub

Extreme hyperkalaemia secondary to malignant ureteric obstruction: Case Report

We report a case of a 42 year old patient who collapsed at an airport departure lounge. The patient was investigated and found to have advanced renal failure with serum potassium (K+) of 10.3 mmol/L, creatinine of 3581 µmol/L and urea of 59.9 mmol/L secondary to obstructive uropathy due to advanced bladder cancer. Although these biochemical changes were thought to be incompatible with life, he made a slow recovery following haemodialysis and insertion of bilateral percutaneous nephrostomy tubes. The East African Medical Journal Vol. 83 (11) 2006: pp. 637-64

A Probabilistic Data Fusion Modeling Approach for Extracting True Values from Uncertain and Conflicting Attributes

Real-world data obtained from integrating heterogeneous data sources are often multi-valued, uncertain, imprecise, error-prone, outdated, and have different degrees of accuracy and correctness. It is critical to resolve data uncertainty and conflicts to present quality data that reflect actual world values. This task is called data fusion. In this paper, we deal with the problem of data fusion based on probabilistic entity linkage and uncertainty management in conflict data. Data fusion has been widely explored in the research community. However, concerns such as explicit uncertainty management and on-demand data fusion, which can cope with dynamic data sources, have not been studied well. This paper proposes a new probabilistic data fusion modeling approach that attempts to find true data values under conditions of uncertain or conflicted multi-valued attributes. These attributes are generated from the probabilistic linkage and merging alternatives of multi-corresponding entities. Consequently, the paper identifies and formulates several data fusion cases and sample spaces that require further conditional computation using our computational fusion method. The identification is established to fit with a real-world data fusion problem. In the real world, there is always the possibility of heterogeneous data sources, the integration of probabilistic entities, single or multiple truth values for certain attributes, and different combinations of attribute values as alternatives for each generated entity. We validate our probabilistic data fusion approach through mathematical representation based on three data sources with different reliability scores. The validity of the approach was assessed via implementation into our probabilistic integration system to show how it can manage and resolve different cases of data conflicts and inconsistencies. The outcome showed improved accuracy in identifying true values due to the association of constructive evidence

Covariant Affine Integral Quantization(s)

Covariant affine integral quantization of the half-plane is studied and applied to the motion of a particle on the half-line. We examine the consequences of different quantizer operators built from weight functions on the half-plane. To illustrate the procedure, we examine two particular choices of the weight function, yielding thermal density operators and affine inversion respectively. The former gives rise to a temperature-dependent probability distribution on the half-plane whereas the later yields the usual canonical quantization and a quasi-probability distribution (affine Wigner function) which is real, marginal in both momentum p and position q.Comment: 36 pages, 10 figure