Early surgical correction of buried penis

Introduction: Buried penis is a developmental condition characterized by normal size penis that appears smaller or hidden by suprapubic fat. Many complications are associated with buried penis, including poor cosmoses, poor hygiene, difficult accessibility, and recurrent balanitis. Urinary tract infection, negative feeling by parents and patients. Different surgical techniques have been described to correct the condition.Aim: The aim of this study was to present our result of early surgical correction of buried penis.Results: A total of 94 patients underwent correction of buried penis. 80 (85%) patients were less than 2 years of age. The mean follow-up was 8 months, ranging from 6 to 22 months. The most common types of anomaly were buried penis [65 (59.5%)], concealed penis [21 (22.3%)], and trapped penis [eight (8.5%)]. The early postoperative complications were edema [10 (10.6%)], bleeding [four (4.2%)], excess inner prepuce [three (3.1%)], redundant skin [two (2.1%)], and infection [one (1.06%)]. The late postoperative complications were partial recurrence in 6.3%. In 63.8% the skin was adequate and there was no need for additional skin flap; in 27.6% we created payers flap and in 8.5% we used the long inner prepuce.Conclusion: Early surgical correction of buried penis is safe and is associated with minimal complications.Keywords: buired penis, circumcision, trapped peni

Applied Internet of Things IoT: Car monitoring system for Modeling of Road Safety and Traffic System in the State of Qatar

One of the most interesting new approaches in the transportation research field is the Naturalistic Driver Behavior which is intended to provide insight into driver behavior during everyday trips by recording details about the driver, the vehicle and the surroundings through an unobtrusive data gathering equipment and without experimental control. In this paper, an Internet of Things solution that collects and analyzes data based on Naturalistic Driver Behavior approach is proposed. The analyzed and collected data will be used as a comprehensive review, and analysis of the existing Qatar traffic system, including traffic data infrastructure, safety planning, engineering practices and standards. Moreover, data analytics for crash prediction and the use of these predictions for the purpose of systemic and systematic network hotspot analysis, risk-based characterization of roadways, intersections, and roundabouts are developed. Finally, an integrated safety risk solution was proposed. This latter, enables decision makers and stakeholders (road users, state agencies, and law enforcement) to identify both high-risk locations and behaviors by measuring a set of dynamic variables including event-based data, roadway conditions, and driving maneuvers. More specifically, the solution consists of a driver behaviors detector system that uses mobile technologies. The system can detect and analyze several behaviors like drowsiness and yawning. Previous works are based on detecting and extracting facial landmarks from images. However, the new suggested system is based on a hybrid approach to detect driver behavior utilizing a deep learning technique using a multilayer perception classifier. In addition, this solution can also collect data about every day trips like start time, end time, average speed, maximum speed, distance and minimum speed. Furthermore, it detects for every fifteen seconds measurements like GPS position, distance, acceleration and rotational velocity along the Roll, Pitch and Yaw axes. The main advantage of the solution is to reduce safety risks on the roads while optimizing safety mitigation costs to a society. The proposed solution has three-layer architecture, namely, the perception, network, and application layers as detailed below. I. The perception layer is the physical layer, composed from several Internet of Thing devices that uses mainly use the smart phones equipped with cameras and sensors (Magnetometer, Accelerometers Gyroscope and Thermometer, GPS sensor and Orientation sensor) for sensing and gathering information about the driver behavior roads and environment as shown in Fig. 1. II. The network layer is responsible for establishing the connection with the servers. Its features are also used for transmitting and processing sensor data. In this solution, hybrid system that collect data and store them locally before sending them to the server is used. This technique proves its efficiency in case of Poor Internet coverage and unstable Internet connection. III. The application layer is responsible for delivering application specific services to end user. It consists in sending the data collected to web server in order to be treat and analyzed before displaying it to the final end user. The web service which part of the application layer is the component responsible for collecting data not only from devices but also from other sources such General Traffic Directorate at Minister of Interior to gather the crash details. This web service stocks all stored data in database server and analyses them. Then, the stored data and analysis will be available for end user via website that has direct access to the web services. Figure 1: Architecture of Car monitoring system Keywords: Driver Monitoring System, DrowsinessDetection, Deep Learning, Real-time Deep Neural Network, Fig. 1: Architecture of IoT solutionqscienc

Machine Learning Techniques for Credit Card Fraud Detection

The term “fraud”, it always concerned about credit card fraud in our minds. And after the significant increase in the transactions of credit card, the fraud of credit card increased extremely in last years. So the fraud detection should include surveillance of the spending attitude for the person/customer to the determination, avoidance, and detection of unwanted behavior. Because the credit card is the most payment predominant way for the online and regular purchasing, the credit card fraud raises highly. The Fraud detection is not only concerned with capturing of the fraudulent practices, but also, discover it as fast as they can, because the fraud costs millions of dollar business loss and it is rising over time, and that affects greatly the worldwide economy. . In this paper we introduce 14 different techniques of how data mining techniques can be successfully combined to obtain a high fraud coverage with a high or low false rate, the Advantage and The Disadvantages of every technique, and The Data Sets used in the researches by researcher

The impact of homocysteine level on methotrexate induced neurotoxicity in children treated with St. Jude total XV acute lymphoblastic leukemia protocol

Purpose: Methotrexate (MTX) is an antimetabolite that is routinely used in the treatment of hematological malignancies and during its metabolism leads to hyperhomocysteinemia that is associated with neurotoxicity. The purpose of this prospective study is to determine whether the increase in plasma homocysteine (Hcy) concentration is related to MTX-induced neurotoxicity.Methods: We investigated these changes for both newly diagnosed acute lymphoblastic leukemia (ALL) and lymphoblastic lymphoma (LL) pediatric patients treated at the National Cancer Institute, Egypt. They were treated according to St. Jude total XV protocol to receive 2.5 or 5 g/m2 MTX as a phase of consolidation and were selected between October 2009 and January 2010.Results: Twenty-nine patients were analyzed, M/F: 20/9, the mean age was 8 +/- 4.4 years. Hcy level above 15 µmol/L was considered positive. Hcy levels mean at diagnosis, pre 1st HD MTX, post 1st HDMTX, Pre 2nd HDMTX, Post 2nd HDMTX were 12.10 µmol/L ± 4.17, 6.90 µmol/L ± 3.02, 17.59 µmol/L ± 6.00, 7.21 µmol/L ± 2.73 and 13.74 µmol/L ± 4.75 respectively. Seventeen patients (58%) had features suggestive of neurotoxicity. Positive Hcy levels were associated with neurotoxicity p = 0.05, higher HDMTX 5 g/m2 P= 0.023. A highly significant relation was found between initial Hcy level at diagnosis and final Hcy level p = 0.001; the same as between Hcy level Post 1st HDMTX and that Post 2nd HDMTX with p = 0.006.Conclusion: plasma Hcy concentration was significantly elevated after HDMTX administration and this elevation is associated with the observed neurotoxicity. Whether the elevation in Hcy concentration can prove an informative biomarker for neurotoxicity requires additional testing with other MTX regimens

Ore Genesis of the Abu Ghalaga Ferro-Ilmenite Ore Associated with Neoproterozoic Massive-Type Gabbros, South-Eastern Desert of Egypt: Evidence from Texture and Mineral Chemistry

Massif-type mafic intrusions (gabbro and anorthosite) are known for their considerable resources of vanadium-bearing iron–titanium oxide ores. Massive-type gabbroic and anorthosite rocks are frequently associated with magmatic rocks that have significant quantities of iron, titanium, and vanadium. The most promising intrusions that host Fe-Ti oxide ores are the gabbroic rocks in the south-eastern desert. The ilmenite ore deposits are hosted in arc gabbroic and anorthosite rocks. They are classified into three types, namely black ore, red ore, and disseminated ore. The black ilmenite ore is located at the deeper level, while the oxidized red ore is mainly located at or near the surface. Petrographically, the gabbro and ilmenite ores indicate a crystallization sequence of plagioclase, titaniferous pyroxene, and ilmenite. This reveals that the ilmenite is a magmatic deposit formed by the liquid gravity concentration of ilmenite following the crystallization of feldspar and pyroxene. Meanwhile, quartz, tremolite, zoisite, and opaque minerals are accessory minerals. The Fe-Ti ores are composed of ilmenite hosting exsolved hematite lamellae of variable sizes and shapes, gangue silicate minerals, and some sulfides. The X-ray diffraction (XRD) data reveal the presence of two mineral phases: ilmenite and hematite formed by the unmixing of the ferroilmenite homogeneous phase upon cooling. As a result, the ore is mostly made up of hemo-ilmenite. Using an electron microscope (SEM), as well as by observing the textures seen by the ore microscope, ilmenite is the dominant Fe-Ti oxide and contains voluminous hematite exsolved crystals. Under the scanning electron microscope, ilmenite contained intergrowths of hematite as a thin sandwich and lens shape. The formation of hematite lamellae indicates an oxidation process. Mineral chemistry-based investigations reveal late/post-magmatic activity at high temperatures. The examined ilmenite plots on the ferro-ilmenite line were created by continuous solid solution over 800 °C, whereas the analyzed magnetite and Ti-magnetite plot near the magnetite line and were formed by continuous solid solution exceeding 600 °C

How circular design can contribute to social sustainability and legacy of the FIFA World Cup Qatar 2022™? The case of innovative shipping container stadium

The circular economy proposes a paradigm shift from the ‘take-make-waste’ type of economic system and aims to foster innovation, resource efficiency, and waste prevention. Mega sporting events can be considered great opportunities to promote sustainable cities and communities and leave a lasting positive legacy after the post-game stage. Qatar will organize the upcoming FIFA World Cup in 2022 and Ras Abu Aboud (RAA) is designed as a fully reusable and modular shipping container stadium, which will be dismantled, relocated, and reused after the tournament. This study aims to present the first comprehensive analysis on the social sustainability and legacy aspects of a circular and sharing economy application for the FIFA World Cup organization. The research analyzes the entire life cycle phases of the RAA stadium including the raw material production, construction, operations, and end-of-life. The Ecoinvent v.3.7.1 is used to quantify the midpoint environmental and endpoint human health impacts. For its operation phase assessment, two operation scenarios are comparatively analyzed: one-year temporary operation (Scenario 1) and 50 years of permanent operation (Scenario 2). Later, a simulation-based sensitivity analysis is conducted. Finally, we discussed how circular and modular design thinking can bring long-lasting legacy post-event, through reuse and recycling from a socio-economic perspective. An important finding shows that circular design under Scenario 1 can save up to 60% of human health impacts and significantly reduce the material footprint and dependence on imported construction materials. This research will enhance future awareness for sustainability benefits of circular and sharing economy application adopted by mega sporting events concerning the United Nations 2030 Agenda for Sustainable Development and FIFA's post-game legacy and sustainability strategies

A year of genomic surveillance reveals how the SARS-CoV-2 pandemic unfolded in Africa.

The progression of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic in Africa has so far been heterogeneous, and the full impact is not yet well understood. In this study, we describe the genomic epidemiology using a dataset of 8746 genomes from 33 African countries and two overseas territories. We show that the epidemics in most countries were initiated by importations predominantly from Europe, which diminished after the early introduction of international travel restrictions. As the pandemic progressed, ongoing transmission in many countries and increasing mobility led to the emergence and spread within the continent of many variants of concern and interest, such as B.1.351, B.1.525, A.23.1, and C.1.1. Although distorted by low sampling numbers and blind spots, the findings highlight that Africa must not be left behind in the global pandemic response, otherwise it could become a source for new variants

The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance.

Investment in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing in Africa over the past year has led to a major increase in the number of sequences that have been generated and used to track the pandemic on the continent, a number that now exceeds 100,000 genomes. Our results show an increase in the number of African countries that are able to sequence domestically and highlight that local sequencing enables faster turnaround times and more-regular routine surveillance. Despite limitations of low testing proportions, findings from this genomic surveillance study underscore the heterogeneous nature of the pandemic and illuminate the distinct dispersal dynamics of variants of concern-particularly Alpha, Beta, Delta, and Omicron-on the continent. Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve while the continent faces many emerging and reemerging infectious disease threats. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century

The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century