Title: Attitude Of Kuwait Mediation From Gulf Crisis

Abstract:Attitude mediation is among the top means of international disputes resolution, where the mediator calls on disputing members states to roundtable negotiations to bring about a resolution and reconciliation. In the context of the GCC, the recent crisis between Qatar and Saudi Arabia, the UAE, Bahrain and Egypt, the mediating country is Kuwait, who attempted to mitigate the escalation of the crisis that otherwise would have led to a military confrontation against Doha to bring about a regime change. This type of resolution effort is at risk of prolonging the crisis that could escalate and prevent the parties to the dispute in reaching reconciliation. In this case, Kuwait, as the mediating nation is faced with the challenge of preventing the damage that could have been wrought to the existence of the GCC in case it failed it its mediating efforts. The matter was compounded by the fact that the dispute went beyond borders with Egypt also boycotting the Turkish troop’s presence in Qatar and thus, such a dispute led to a political rift among the GCC counties and their leaders, causing concern to the regimes. This situation posed a threat to the fundamental principles of the states, with the inclusion of those countries that held their neutrality in the dispute.

Title: Correlation between Heat Load and Design Alternatives for Compact Cabins

Abstract:Accommodation spaces onboard ships are normally of small dimensions, which reduces \nthe possibility of proper mixing between fresh and existing air. For ships with large crews, some \ncabins are occupied by four crew members, which increases heat loads in such spaces. For proper \nuse of these cabins bunk beds are usually used, with the air trapped between lower and upper beds \nalmost stagnant. On the other hand, the upper beds are usually very close to the ceiling which makes \nthe situation even worse. Field measurements of air parameters inside a real ship crew cabin were \nconsidered and simulated using a well-known CFD software to study the relationship between \nnumber of occupants and main design parameters. Results showed that thermal comfort can be \nreached through an optimal combination of main design parameters. Correlation between heat load \nand main design parameters would be taken into consideration for future feasibility study.


Abstract:Background: integrality in prenatal dental care is a relevant point in maternal and child care and a challenge for public health in Brazil. Objective: to know the meanings attributed to dental care during prenatal care by primary health care workers. Methody: an exploratory descriptive study with a qualitative approach, with data collected in 2018, through semi-structured interviews with doctors, nurses, dentists and local managers of primary health care in Fortaleza, Ceará, Brazil. The interviews were organized based on thematic analysis and interpretation based on hermeneutics-dialectics. Results: the narratives showed that the dental monitoring in prenatal care is included in the list of activities of the health team and that it has a relevant meaning for those involved, however, there are still challenges that need to be overcome, such as greater professional integrity. Final considerations: There is a need to expand workers' knowledge about the subject, as well as to improve processes in prenatal care and to optimize interprofessional collaboration. Descriptors: Oral health. Prenatal care. Interprofessional relationships. Interdisciplinary practices

Title: A case of hypokalemic rhabdomyolysis in a patient with alcoholism

Abstract:This study included a 51-year-old male patient with alcoholism. He was admitted to our hospital because of muscle weakness in four extremities and diet intake-related problems due to diarrhea and vomiting. The serological findings indicated hypokalemia (potassium: 1.7 mEq/L) and elevated muscle enzymes (creatine kinase: 7,935 U/L). He was then diagnosed with hypokalemic rhabdomyolysis due to gastrointestinal loss and low potassium intake underlying alcoholic liver dysfunction. After fluid replacement, his symptoms and laboratory abnormalities were resolved. Furthermore, the patient remained symptom-free and without recurrent episodes of rhabdomyolysis at a one-year follow-up.

Title: Endoscopic characteristics of the gastric mucosa and Helicobacter pylori Infection in patients with Dyspeptic Symptoms in Low-Resource Setting

Abstract:Introduction. This study aimed to identify the endoscopic characteristics of the gastric mucosa associated with H. pylori infection in patients presenting with dyspeptic symptoms in low-resource setting, in North-eastern Brazil. Methods. Cross-sectional study of 751 patients treated at a public endoscopy service. The association between endoscopic characteristics and H. pylori infection was verified by Pearson\'s correlation tests, and their effect was measured by odds ratio in univariate and multivariate analyses. Results. Male patients were more likely to have gastritis, peptic ulcer, and active peptic ulcer. Patients with healed peptic ulcer were older than 45 years. In multivariate analysis, endoscopic characteristics that included enanthema of the gastric antrum (p <0.0001; OR = 0.47; 95% CI = 0.32-0.68) and mild pangastritis (p = 0.001; OR = 0.44; 95% CI = 0.27-0.71) were negatively associated with H. pylori infection. The endoscopic characteristic of moderate erosion of the antrum (p = 0.01; OR = 2.94; 95% CI = 1.28-6.74) was associated with H. pylori infection. Conclusion. The data from the present study suggest that, the presence of the endoscopic feature of moderate erosion of the antrum associated with H. pylori infection in patients presenting with dyspeptic symptoms.

Title: Combination and Formulation of Epoxidized Palm Oil with Oxidizing Ring-opening Compounds to Produce Biopolyols as Raw Materials for Flexible Polyurethane Foams

Abstract:Different ring-opening compounds will produce biopolyols with varying numbers of hydroxyl. The hydroxyl value is an important parameter to determine the type of application of biopolyol as a polyurethane raw material. Polyurethane flexible foam can be synthesized using biopolyol with a hydroxyl value of 100 mg KOH/g. The purpose of this study was to examine the combination of oxirane ring-opening compounds and the ratio of epoxidized palm oil to oxirane ring-opening compounds to produce polyols with hydroxyl values less than 100 mg KOH/g. The materials used are epoxidized palm oil and oxirane ring-opening compounds, including propylene glycol, aquades, and ethylene glycol. In the ring-opening reaction, epoxidized palm oil and ring-opening compounds were used in the ratio (1:3, 2:3, 3:3) at a temperature of 50°C for 1 hour and assisted by an H2SO4 catalyst. The results showed that the proportion of epoxidized palm oil with ethylene glycol of 1:3 resulted in a biopolyol with suitable characteristics as a raw material for flexible polyurethane foam. The parameters of the biopolyol were hydroxyl value 99.37 mg KOH/g, viscosity 30°C at 46.10 cP, density at 30°C at 0.906 g/mL, acid number 1.19 mg KOH/g, clear yellow color, and test results. FTIR showed that the polyol had an OH group at a wavenumber of 3332.05 cm-1. The primary OH group on ethylene glycol is expected to increase the reactivity of palm oil polyols in the synthesis reaction of flexible polyurethane foam. Therefore, palm oil polyols are expected to partially or completely replace petroleum polyols as raw materials for flexible polyurethane foam.

Title: Classification of fashion images using convolutional neural networks and Transfer Learning

Abstract:Fashion image categorization is an influential research area during the last decade. Several techniques have been proposed to solve this problem, beginning with traditional Machine Learning (ML) to Deep Learning (DL) methods like Convolutional Neural Networks (CNNs). Handcrafted classification features are required by traditional ML methods. On the other hand, CNNs perform the classification by extracting the raw image characteristics and tuning the convolutional and pooling layer parameters. This paper presents a comparison between three commonly conventional architecture used (visual geometry group (VGGNet-16), Dense Convolutional Network (DenseNet-169), and Residual Network (ResNet-152)) and the new optimized one (EfficientNet) and discusses the impact on Fashion Imaging Classification of the various Hyper-Parameter Optimization (HPO) technologies. The results showed that the EfficientNet- B5 and EfficientNet- B7 architectures achieved the highest values on this new F-MNIST benchmarking dataset with 95 % and 95.31 % accuracy outperforming VGGNet -16, Dense Net-169, and ResNet-152 by 94%, 93% and 93% a respectively.

Title: Multi-factors spatial modeling and geophysical data for comparison between main wadies for groundwater prospectivity mapping: south west Sinai, Egypt

Abstract:Despite the availability of many surface factors for water recharging in arid and varied landforms areas, it is difficult to explore groundwater accumulation locations in these areas. Consequently, it requires a comprehensive investigation not only of surface factors, but their complementarily and validation by studying the subsurface ones as well. This is what was studied in east Abu Zenima area (EAZ), south west Sinai, Egypt because the highly water demand for various uses. The study area was dissected by two main wadies: Baba and Sidri basins. Eight multi-contributing factors including geological, geomorphological, rainfall, drainage network, lineaments, slope, curvature and land use/ land cover (LULC) were computed and mapped. The resultant thematic maps were classified and analyzed by Geographic Information System (GIS) spatial analyst tools for delineating groundwater favorable zones in the investigated area. The final groundwater target zones map revealed five potential zones; very low, low, moderate, good and very good. The very good potential zones revealed the priority of wadi Sidri basin for surface water infiltration and groundwater exploration. The prospecting zones map was verified and confirmed using one dimensional electrical resistivity data. Twelve vertical electrical soundings (VESes) were measured, interpreted and collected in four resistivity cross-sections to give a picture of the subsurface geological distribution, water bearing formations and for signifying the locations of drilling wells. The integration of surface remote sensing and geological data with subsurface geophysical data is an effective approach for groundwater exploration in similar arid areas.


Abstract:Educational management and leadership are the major key elements in any school and leadership and management styles are key propellers for schools to do better in all its departments. This article is focused on the concepts of educational leadership and management, their primary roles, differences in approaches and their significance within the educational set-up. The key concepts are broadly discussed and argued on the basis of previous research studies on this topic and we can therefore safely say for both leadership and management to operate effectively and achieve their objectives, both approaches need to be given prominence for schools and colleges to produce great outcomes.

Title: Comparative Analysis of Deep Convolutional Neural Network Architectures for Product Based Classification of Bulk Food Grains

Abstract:The classification of agricultural products images is necessity for the development of modern agriculture. There have been many ways to classify images, and recently deep learning has outperformed other methods. The aim of this study is to compare the use of deep transfer learning on more than one model, and the features of two models have been concatenated to get the best results. The goal of this research is to compare between the performance of the traditional machine learning classification algorithm using Bag of Visual Words (BoVW) method and off-the-shelf deep features extracted by VGG-19, and Inception-V3 models and trained SVMs using the extracted features. By comparing the AUC, sensitivity, and specificity of three classifiers, namely, KNN, SV, and Logistic regression with VGG19 and Inception-V3, we can conclude that off-the-shelf deep features has an important impact on food grains image classification.