An Innovative Word Encoding Method For Text Classification Using Convolutional Neural Network

Text classification plays a vital role today especially with the intensive use of social networking media. Recently, different architectures of convolutional neural networks have been used for text classification in which one-hot vector, and word embedding methods are commonly used. This paper presents a new language independent word encoding method for text classification. The proposed model converts raw text data to low-level feature dimension with minimal or no preprocessing steps by using a new approach called binary unique number of word "BUNOW". BUNOW allows each unique word to have an integer ID in a dictionary that is represented as a k-dimensional vector of its binary equivalent. The output vector of this encoding is fed into a convolutional neural network (CNN) model for classification. Moreover, the proposed model reduces the neural network parameters, allows faster computation with few network layers, where a word is atomic representation the document as in word level, and decrease memory consumption for character level representation. The provided CNN model is able to work with other languages or multi-lingual text without the need for any changes in the encoding method. The model outperforms the character level and very deep character level CNNs models in terms of accuracy, network parameters, and memory consumption; the results show total classification accuracy 91.99% and error 8.01% using AG's News dataset compared to the state of art methods that have total classification accuracy 91.45% and error 8.55%, in addition to the reduction in input feature vector and neural network parameters by 62% and 34%, respectively.Comment: Accepted @ 14th International Computer Engineering Conference (ICENCO2018), Faculty of Engineering , Cairo University, Egypt, Dec. 29-30, 201

Effect of Progesterone Therapy versus Diet Modification on Constipation during Pregnancy

Background: Pregnant women may experience constipation for the first time or their existing constipation symptoms increase in severity during pregnancy.Aim: To compare the effect of progesterone versus diet modification in the treatment of constipation during pregnancy.Subjects and Methods: Women aged ≥18 years with functional constipation according to the Rome III criteria from obstetrics outpatients’ clinic and midwife practices included in this study. Participants divided into two groups; control group managed with diet modifications and study group pregnant women with threatened miscarriage and advised to take vaginal progesterone ≥1 week. Participants completed a nonvalidated questionnaire created by the authors during the whole week before intake of progesterone or diet modifications and after treatment phase. Independent Student’s t‑test and Chi‑square (X2) test were used for statistical analysis to compare between two studied groups. Primary outcome measures; change in defecation frequency.Results: Sensation of anorectal obstruction and sensation of incomplete evacuation were significantly less in Group B (progesterone therapy) compared to Group A (diet modification) (54% [154/281] and 62.98% [177/281] vs. 89.76% [614/684] and 91.08% [623/684], respectively) (P = 0.04 and 0.03, respectively). Straining during defecation and manual maneuvers to facilitate evacuation were significantly less in Group B compared to Group A (63.7% [179/281] and 19.9% [56/281] vs. 94.59% [647/684] and 86.54% [592/684], respectively) (P < 0.01 and 0.02, respectively). Episodes of abdominal pain and presence of reflux episodes were also significantly less in Group B compared to Group A (18.5% [52/281] and 17.43% [49/281] vs. 84.11% [589/684] and 75% [513/684], respectively) (P = 0.01 and 0.03, respectively). Conclusions: Estrogen, rather than progesterone, may be a detrimental factor of constipation during pregnancy via decreased bowel movement. Progesterone therapy seems to be effective in the treatment of functional constipation during pregnancy. A randomized placebo controlled trial is required to confirm the data of this study.KEY WORDS: Constipation, diet modification, pregnancy, progesteron

Prospective study for commercial and low-cost hyperspectral imaging systems to evaluate thermal tissue effect on bovine liver samples

Thermal ablation modalities, for example radiofrequency ablation (RFA) and microwave ablation, are intended to prompt controlled tumour removal by raising tissue temperature. However, monitoring the size of the resulting tissue damage during the thermal removal procedures is a challenging task. The objective of this study was to evaluate the observation of RFA on an ex vivo liver sample with both a commercial and a low-cost system to distinguish between the normal and the ablated regions as well as the thermally affected regions. RFA trials were conducted on five different ex vivo normal bovine samples and monitored initially by a custom hyperspectral (HS) camera to measure the diffuse reflectance (Rd) utilising a polychromatic light source (tungsten halogen lamp) within the spectral range 348–950 nm. Next, the light source was replaced with monochromatic LEDs (415, 565 and 660 nm) and a commercial charge-coupled device (CCD) camera was used instead of the HS camera. The system algorithm comprises image enhancement (normalisation and moving average filter) and image segmentation with K-means clustering, combining spectral and spatial information to assess the variable responses to polychromatic light and monochromatic LEDs to highlight the differences in the Rd properties of thermally affected/normal tissue regions. The measured spectral signatures of the various regions, besides the calculation of the standard deviations (δ) between the generated six groups, guided us to select three optimal wavelengths (420, 540 and 660 nm) to discriminate between these various regions. Next, we selected six spectral images to apply the image processing to (at 450, 500, 550, 600, 650 and 700 nm). We noticed that the optimum image is the superimposed spectral images at 550, 600, 650 and 700 nm, which are capable of discriminating between the various regions. Later, we measured Rd with the CCD camera and commercially available monochromatic LED light sources at 415, 565 and 660 nm. Compared to the HS camera results, this system was more capable of identifying the ablated and the thermally affected regions of surface RFA than the side-penetration RFA of the investigated ex vivo liver samples. However, we succeeded in developing a low-cost system that provides satisfactory information to highlight the ablated and thermally affected region to improve the outcome of surgical tumour ablation with much shorter time for image capture and processing compared to the HS system

Titrated Misoprostol Versus Dinoprostone for Labor Induction

Background: Misoprostol is as effective as dinoprostone for labor induction with low cost and temperature stability.Aim: This study designed to compare titrated misoprostol regarding its safety and efficacy with dinoprostone for induction of labor.Subjects and Methods: Women with a single pregnancy, above 37 weeks’ gestation, cephalic presentation, modified Bishop’s score <8, and not in labor with reassuring fetal heart rate, admitted for labor induction enrolled in this randomized controlled study. Studied women were randomized into; Group I: received oral misoprostol titrated in sterile water (200 μg tablet was dissolved in 200 ml sterile water [1 μg/ml]), starting dose of 20 μg misoprostol required, given every 2 h, and stopped if adequate contractions obtained and Group II: received vaginal dinoprostone tablet maximum two doses followed by augmentation of labor by oxytocin ± amniotomy if there is no uterine contractions after two doses of dinoprostone. In Group I, if the contractions were inadequate after two doses of oral titrated misoprostol (20 μg [20 ml]), the starting dose increased to 40 μg (40 ml), escalating the dose from 5 to 10 ml (45–50 μg), and 20 ml (60 μg) maximum ± amniotomy. If the uterine contractions were adequate, the next dose of misoprostol or dinoprostone was omitted. Statistical analysis done using Student’s t‑test for quantitative data and Chi‑square test for qualitative data.Results: Induction‑to‑delivery time was significantly longer in misoprostol than dinoprostone group (975 vs. 670 min, respectively), (P = 0.01). About 20.2% (21/104) of women in misoprostol group did not deliver vaginally within 24 h compared to 7.4% (8/108) in dinoprostone group (significant difference, P = 0.01). Augmentation of labor was significantly high in dinoprostone (37.96% [41/108]) compared to misoprostol group (10.6% [11/104]) (P < 0.01).Conclusion: Titrated misoprostol for induction of labor seems to be associated with significantly longer induction‑to‑delivery time, low incidence of vaginal birth within 24 h, and less need for augmentation of labor compared to vaginal dinoprostone.KEY WORDS: Dinoprostone, labor induction, titrated misoprosto

Synthesis, molecular docking, and dynamic simulation targeting main protease (Mpro) of new, Thiazole clubbed pyridine scaffolds as potential COVID-19 inhibitors

Many biological activities of pyridine and thiazole derivatives have been reported, including antiviral activity and, more recently, as COVID-19 inhibitors. Thus, in this paper, we designed, synthesized, and characterized a novel series of N-aminothiazole-hydrazineethyl-pyridines, beginning with a N′-(1-(pyridine-3-yl)ethylidene)hydrazinecarbothiohydrazide derivative and various hydrazonoyl chlorides and phenacyl bromides. Their Schiff bases were prepared from the condensation of N-aminothiazole derivatives with 4-methoxybenzaldehyde. FTIR, MS, NMR, and elemental studies were used to identify new products. The binding energy for non-bonding interactions between the ligand (studied compounds) and receptor was determined using molecular docking against the SARS-CoV-2 main protease (PDB code: 6LU7). Finally, the best docked pose with highest binding energy (8a = −8.6 kcal/mol) was selected for further molecular dynamics (MD) simulation studies to verify the outcomes and comprehend the thermodynamic properties of the binding. Through additional in vitro and in vivo research on the newly synthesized chemicals, it is envisaged that the achieved results will represent a significant advancement in the fight against COVID-19

Relation between microRNAs and Apoptosis in Hepatocellular Carcinoma

AIM: To determine the relation between serum microRNAs and apoptotic markers as regards development of HCC to understand the underlying mechanism of HCV related hepatocarcinogenesis. PATIENTS AND METHODS: A total of 65 serum samples (25 samples from controls, 20 samples from hepatitis and 20 samples from HCC patients) were collected for miRNAs (mir 21, mir 199-a, and mir 155) detection. Human Programmed cell death protein-4 (PDCD-4) and Human Cytochrome-C (CYT-C) were determined. RESULTS: miRNAs 21 and 155 were over expressed in sera of patients with HCC compared to patients with chronic hepatitis (p < 0.0001). While serum means values of miR 199a was significantly decreased among HCC group patients when compared to patients with chronic hepatitis (p < 0.0001). The serum levels of PCDC4 and CYTC were increased in patients with HCC when compared to chronic hepatitis patients. They were also increased in patients with chronic hepatitis when compared to controls (p < 0.05, significant). There was direct correlations between apoptotic markers and oncomirs miRNAs 21 and 155 while apoptotic markers were inversely correlated with miRNA 199-a. CONCLUSION: Both microRNAs and apoptotic markers have roles in HCC pathogenesis. It seems that oncogenic microRNAs induce liver carcinogenesis in HCV patients irrespective of suppression of apoptosis.AIM: To determine the relation between serum microRNAs and apoptotic markers as regards development of HCC to understand the underlying mechanism of HCV related hepatocarcinogenesis. PATIENTS AND METHODS: A total of 65 serum samples (25 samples from controls, 20 samples from hepatitis and 20 samples from HCC patients) were collected for miRNAs (mir 21, mir 199-a, and mir 155) detection. Human Programmed cell death protein-4 (PDCD-4) and Human Cytochrome-C (CYT-C) were determined. RESULTS: miRNAs 21 and 155 were over expressed in sera of patients with HCC compared to patients with chronic hepatitis (p < 0.0001). While serum means values of miR 199a was significantly decreased among HCC group patients when compared to patients with chronic hepatitis (p < 0.0001). The serum levels of PCDC4 and CYTC were increased in patients with HCC when compared to chronic hepatitis patients. They were also increased in patients with chronic hepatitis when compared to controls (p < 0.05, significant). There was direct correlations between apoptotic markers and oncomirs miRNAs 21 and 155 while apoptotic markers were inversely correlated with miRNA 199-a. CONCLUSION: Both microRNAs and apoptotic markers have roles in HCC pathogenesis. It seems that oncogenic microRNAs induce liver carcinogenesis in HCV patients irrespective of suppression of apoptosis

A proposed protocol for GMP-BoK implementation gap analysis - case study at AASTMT

Purpose: Maritime Education and Training (MET) plays a crucial role in maintaining the safety and sustainability of the maritime industry. However, it remains behind the industry expectations to fulfill the gap regarding the required level of maritime capacities to safely control efficient new technology and keep them sustainable and effective during the industrial revolution era. The International Association of Maritime Universities (IAMU) developed the Global Maritime Professional Body of Knowledge (GMP-BoK) to address the current gap between the maritime industry expectations and the delivered Maritime Education and Training (MET) programs. Design/methodology/approach: This paper briefly introduces the GMP-BoK and proposes a protocol for a new analogous instrument to efficiently implement the GMP-BoK via a user-friendly method developed at the Arab Academy for Science, Technology and Maritime Transport (AASTMT). The developed analogous instrument helps maritime universities and institutes to digitalize and develop an integrated curriculum framework that is based on robust evaluation and data analysis to develop strategic plans to improve seafarer capabilities. Moreover, the paper suggests a protocol for mapping and analysis of maritime programs and courses, enabling educators to reliably perform gap analysis and identify repetitions within delivered courses and programs based on the GMP-BoK recommended practices. As a case study, the proposed protocol was validated utilizing the Maritime Engineering Technology Program (METP). Findings: The findings of this study revealed that the examined METP includes 30% repetition and focuses on the cognitive and psychomotor methods of education, with little focus on the affective technique