Analysis of an Inner City Community College and Public School District: The City of Highland Park District Project

Highland Park, Michigan, is a city rich with twentieth century history, from the automobile revolution of Henry Ford to the historic landmarks that early immigrants created in wake of the elusive and lucrative American Dream. However, Highland Park is a city today that is characterized by extreme poverty, unemployment, and crime. The City of Highland Park District project is a sociological approach to the study of a selected inner city district in the United States, which was the City of Highland Park, Michigan. This research study is comprised of two sections of detailed analysis regarding the effects of inner city impoverished conditions and lack of adequate State of Michigan funding that have both undermined the continued effort to make the City of Highland Park District successful by State of Michigan educational standards. The first section is based on the Highland Park City School District while the second section is based on Highland Park Community College

Laparoscopic appendectomy in the pediatric age group: comparative study between LigaSure and monopolar diathermy

Background Various techniques such as endoloops, endoscopic linear cutting staplers, electrothermal vesselsealing system (LigaSure), Harmonic scalpel, clips, and bipolar coagulation have been used for the division of the mesoappendix during laparoscopic appendectomy. This study was conducted to evaluate the potential benefits and limitation of LigaSure and electrocautery in laparoscopic appendectomy (LA).Patients and methods Forty patients with clinical diagnosis of acute appendicitis admitted to the Pediatric Surgery Unit at the Alexandria University Children’s Hospital between September 2008 and September 2010 were included in this study. The patients were assigned to two groups according to the mesoappendix dissection device: LigaSure and monopolar diathermy (MD) groups. The primary outcome measures (operating time, conversion rate, length of hospital stay, bleeding during dissection, port site infection, and readmissions) were compared.Results LA was performed in 40 patients with acute appendicitis. Twenty cases were in the LigaSure group and 20 cases were in the MD group. The mean operative times were 33.05 min and 43.80 min in the LigaSure and MD groups, respectively. Bleeding during appendicular dissection as roughly estimated by the mean number of needed irrigations were 1.60 and 1.95 for the LigaSure and MD groups, respectively. No statistically significant differences regarding hospital stay, rate of infection, readmissions, or conversion to open appendectomy were found, whereas significant differences were observed in operative time and bleeding.Conclusion The use of LigaSure for dissection of the mesoappendix shortens the operative time, and significantly decreases bleeding during LA. We believe that LigaSure is a safe and useful tool for mesoappendix dissection during LAKeywords: children, laparoscopic appendectomy, LigaSure, monopolar diatherm

Stock market random forest-text mining system mining critical indicators of stock market movements

Stock Market (SM) is believed to be a significant sector of a free market economy as it plays a crucial role in the growth of commerce and industry of a country. The increasing importance of SMs and their direct influence on economy were the main reasons for analysing SM movements. The need to determine early warning indicators for SM crisis has been the focus of study by many economists and politicians. Whilst most research into the identification of these critical indicators applied data mining to uncover hidden knowledge, very few attempted to adopt a text mining approach. This paper demonstrates how text mining combined with Random Forest algorithm can offer a novel approach to the extraction of critical indicators, and classification of related news articles. The findings of this study extend the current classification of critical indicators from three to eight classes; it also show that Random Forest can outperform other classifiers and produce high accuracy

Stock Market Random Forest-Text Mining (SMRF-TM) Approach to Analyse Critical Indicators of Stock Market Movements

The Stock Market is a significant sector of a country’s economy and has a crucial role in the growth of commerce and industry. Hence, discovering efficient ways to analyse and visualise stock market data is considered a significant issue in modern finance. The use of data mining techniques to predict stock market movements has been extensively studied using historical market prices but such approaches are constrained to make assessments within the scope of existing information, and thus they are not able to model any random behaviour of the stock market or identify the causes behind events. One area of limited success in stock market prediction comes from textual data, which is a rich source of information. Analysing textual data related to the Stock Market may provide better understanding of random behaviours of the market. Text Mining combined with the Random Forest algorithm offers a novel approach to the study of critical indicators, which contribute to the prediction of stock market abnormal movements. In this thesis, a Stock Market Random Forest-Text Mining system (SMRF-TM) is developed and is used to mine the critical indicators related to the 2009 Dubai stock market debt standstill. Random forest and expectation maximisation are applied to classify the extracted features into a set of meaningful and semantic classes, thus extending current approaches from three to eight classes: critical down, down, neutral, up, critical up, economic, social and political. The study demonstrates that Random Forest has outperformed other classifiers and has achieved the best accuracy in classifying the bigram features extracted from the corpus

Islamic architecture as an entrance to enrich the surfaces of metalwork

Summary:Islamic architecture is one of the most important achievements in which the decorated architecture has built its expertise and design skills. The architecture of mosques is an important resource that I can use to inspire elements of art and technical methods. Accordingly, the idea of research is based on new approaches to the field of metalworking, which deal with the art of Islamic Mosque architecture, the methods of its implementation and the possibility of taking advantage of its external form as a whole and its main elements and decorations. The educational process in the field of art education in general and metalworking seeks to develop the creativity of the student by addressing and benefiting from heritage as an important educational and educational source and by realizing the relationship with the past and present. The field of metalworking requires many visions, sources, and inspirational ideas appropriate to the various environments of society. The researcher taught a metalworking course to students in the third division of the faculty, with the aim of producing metal hangers inspired by the external form of Islamic architecture. (Mosques). Applications have been refuted by specialized professors in the field of specialization to determine the validity of imposition and to produce research results, including the importance of Islamic heritage, particularly Islamic architecture, and how to preserve it by using its vocabulary and construction elements as a source of inspiration for metal preoccupations of contemporary origin, and the development of creative thinking by students in design and technology

Evaluation of corneal backward light scattering in type 2 diabetes mellitus

AIM: To compare the corneal backward light scattering values in type 2 diabetes mellitus (DM) patients with those of age and sex-matched healthy controls. METHODS: The study included 30 patients (30 eyes) with type 2 DM and 30 control subjects (30 eyes). Duration of diabetes, most recent hemoglobin A1c levels, along with the status of diabetic retinopathy, and existing medical treatment of all subjects were recorded. All subjects underwent a complete ophthalmologic examination. In addition, backward light scattering (densitometry) was measured to assess changes in corneal transparency using tomography (Pentacam HR). RESULTS: The type 2 DM patients included 12 males and 18 females and control subjects included 16 males and 14 females. The age was 50.40±7.80y (range: 40-68y) of the diabetic group and 49.30±9.50y (rang: 40-73y) of control group. The diabetic group demonstrated significantly higher mean densitometry values of the anterior (6-10 mm) zone (P=0.047), the total anterior layer (P=0.036) and the total cornea (P=0.043) than control group. The corneal densitometry of the diabetic eyes demonstrated no significant correlation with hemoglobin A1c levels and DM duration. CONCLUSION: Diabetic group has higher densitometry in anterior corneal (6-10 mm) zone, total anterior cornea, and total cornea and with no correlation with hemoglobin A1c levels and DM duration

HACR-MDL: HANDWRITTEN ARABIC CHARACTER RECOGNITION MODEL USING DEEP LEARNING

Despite the enormous effort and prior research, Arabic handwritten character recognition still has a deep, wide-ranging, and untapped scope for study owing to the enormous challenges faced in this research area. The reason for such challenges is that the Arabic script comprises 28 alphabets, each of which can be written in two to four different forms depending on where it appears in a word—beginning, middle, end, or isolated. The Convolutional Neural Network (CNN or ConvNet) is a subtype of neural network that is commonly used in image classification, speech recognition, video processing, object detection, and segmentation because its built-in convolutional layer reduces the high dimensionality of images without losing significant information. Hence, the scope of this study is to examine the classification performance of various deep CNN models on offline handwritten Arabic character recognition. Based on the experimental comparative studies, this research proposes a Handwritten Arabic Character Recognition Model using Deep Learning (HACR-MDL), a modified CNN model. The proposed model is trained and tested using the AHCD dataset achieving an accuracy of 98.54%. The results achieved showed that HACR outperformed the recent research offline handwritten Arabic character recognition in terms of model complexity, speed, model parameters, and performance metrics

Efficacy of a Modulated Viscosity-dependent Temperature/nanoparticles Concentration Parameter on a ‎Nonlinear Radiative Electromagneto-nanofluid Flow along an Elongated Stretching Sheet

The purpose of the present communication is to investigate the flow of a radiative electromagnetic-Casson nanofluid past a stretching sheet under the impacts of a chemical reaction and nonlinear thermal radiation. To enrich the blood flow, a modulated viscosity/thermal conductivity dependent temperature/nanoparticles concentration parameter is included in the governing equations. The system of PDEs is transformed to ODEs by invoking similarity transformations and then solved numerically by the well- known fourth-order Runge-Kutta integration scheme based on shooting approach. The main factors affecting the Casson fluid’s temperature profiles are revealed

Effects of industrial processing methods on camel skimmed milk properties

Effects of pasteurisation (high-temperature-short-time; HTST), ultra-high-temperature (UHT), and high-pressure (HP) treatments on some physical and chemical properties of camel milk (CM), including whey protein denaturation, colour change, casein micelle size, and rennet coagulation time (RCT), was investigated. UHT treatment caused the biggest colour change and highest whey protein denaturation in CM; in contrast, the effects of HP treatments on these properties were considerably less. Casein micelle size decreased after all treatments. The RCT of CM was significantly delayed and coagulum strength (G′) decreased after HTST. HP treatment at 200 and 400 MPa increased the RCT of CM and the G′ value was the highest after treatment at 200 MPa. Processing at 600 and 800 MPa inhibited coagulation of CM. The effects of both thermal and non-thermal treatments on many constituents and properties of CM were different from those on constituents and properties of bovine milk