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Now showing items 12820-12839 of 23688

M = 1 instabilities in counter-rotating annuli in near Keplerian potentials - by Mher Vatche Kazandjian

Kazandjian, Mher Vatche (2008)

Counter-rotating annuli around a super massive black hole were evolved using a f ully self-consistent N-body code, Gadget 2.0 . A small fraction of counter-rotat ing mass is required to drive the annuli unstable. These ...
M&As and political uncertainty: Evidence from the 2016 US presidential election

Chahine, Salim; Dbouk, Wassim; El-Helaly, Moataz (Elsevier B.V., 2021)

This paper investigates whether the takeover market has been affected by heightened macroeconomic uncertainty, following President Trump's Election, both in the US and globally. We have based our analysis on a four-year ...
MAB21L1 loss of function causes a syndromic neurodevelopmental disorder with distinctive c erebellar, o cular, cranio f acial and g enital features (COFG syndrome)

Rad, Aboulfazl; Altunoğlu, Umut; Miller, Rebecca; Maroofian, Reza; James, Kiely N.; Ça Layan, Ahmet Okay; Najafi, Maryam; Stanley, Valentina; Boustany, Rose Mary Naaman; Ye Il, Gözde; Sahebzamani, Afsaneh; Ercan-Şençiçek, Adife Gülhan; Saeidi, Kolsoum; Wu, Kaman; Bauer, Peter; Bakey, Zeineb; Gleeson, Joseph G.; Hauser, Natalie S.; Günel, Murat; Kayserili, Hulya U.; Schmidts, Miriam (BMJ Publishing Group, 2019)

Background Putative nucleotidyltransferase MAB21L1 is a member of an evolutionarily well-conserved family of the male abnormal 21 (MAB21)-like proteins. Little is known about the biochemical function of the protein; however, ...
Machinations Ariel Sharon's attempt to liquidate the Palestinian question through invasion and the siege of Beirut - by Daniel Del Castillo

Del Castillo, Daniel (2003)

Israel 's 1982 war in Lebanon, dubbed Operation Peace for Galilee, was a significant milestone in Israeli domestic and foreign policy. The invasion was justified and publicly represented as a limited military endeavor ...
A MACHINE LEARNING APPROACH FOR KERATOCONUS DETECTION

Kaisania, Mhd Jawad (9/15/2021)

Keratoconus is a disorder of the eye that results in progressive thinning of the cornea. It usually occurs in the second decade of life and affects both genders and all ethnicities. The estimated prevalence in the general ...
Machine Learning Architecture to Improve Predictability of Borderline Cases in Health Applications

Hammoud, Bassel (8/26/2022)

The practice of medicine has evolved significantly during the past decade, with the emergence of new diagnostic and prognostic tools allowing for a better implementation of “precision medicine”. Among these tools is Machine ...
Machine Learning Based Models Coupled with Data Assimilation Techniques for Pavement Rutting Prediction

Haddad, Angela (9/23/2020)

Rutting is one of the critical distresses affecting the safety and serviceability of flexible pavements. Modeling the progression of rutting remains a challenge due to its numerous interacting factors. There exist many ...
Machine learning for buildings' characterization and power-law recovery of urban metrics

Krayem, Alaa; Yeretzian, Aram; Faour, Ghaleb; Najem, Sara A. (Public Library of Science, 2021)

In this paper we focus on a critical component of the city: its building stock, which holds much of its socio-economic activities. In our case, the lack of a comprehensive database about their features and its limitation ...
Machine learning for internet traffic classification

Salman, Ola Mohamad (2020)

Traffic classification acquired the interest of the Internet community early on. Different approaches have been proposed to classify Internet traffic to manage both security and Quality of Service (QoS). However, traditional ...
Machine learning for network resilience

Hussein, Ali Imad (2020)

Resilience is taking networks a step further beyond security. Security is one of the main concerns facing the improvement of new networking and communications systems. Another important challenge is verifying whether or ...
Machine Learning from Limited Time-series Data

Mahmoud, Reem (9/16/2022)

Time-series presents an important class of data in our everyday life and is becoming predominant with the abundance of sensors and IoT devices, which as a result has created opportunities for new machine learning (ML) ...
Machine Learning Models and Resources for Task-Oriented Chatbots in Arabic

El Droubi, Nour (9/6/2021)

Recent developments enabled chatbots to be an essential part of people’s daily lives from asking general questions about the weather to booking movie tickets. Chatbots can be classified into open-domain bots or task-oriented ...
Machine Learning Outperforms EEflux METRIC Model on Point Estimates

Hamdar, Yasmine (2/4/2021)

For a vast number of countries, especially in the Mediterranean area, water shortage is among the most important agricultural and environmental hazards. As water consumption rises, the situation worsens due to a deficient ...
Machine Learning-Aided Design of Dielectric-Filled Slotted Waveguide Antennas with Specified Sidelobe Levels

Naous, Tarek; Merie, Amen Al; Khatib, Salwa K.Al; al-Husseini, Mohammed; Shubair, Raed M.; El Misilmani, Hilal M. (Institute of Electrical and Electronics Engineers Inc., 2022)

This paper presents the use of machine learning (ML) to facilitate the design of dielectric-filled Slotted Waveguide Antennas (SWAs) with specified sidelobe level ratios (SLR). Conventional design methods for air-filled ...
Machine learning-based anti-jamming technique at the physical layer

Chehimi, Mahdi M.; Awad, Mohamad Khattar; al-Husseini, Mohammed; Chehab, Ali (John Wiley and Sons Ltd, 2023)

The reliance on wireless services to exchange critical data is associated with various threats and attacks, which must be mitigated to ensure integrity and security of those wireless services. Posing a serious challenge ...
Machine Learning-Based Unobtrusive Intake Gesture Detection via Wearable Inertial Sensors

AlJlailaty, Hussein

Eating is one of the most basic activities observed in sentient animals, a behavior so natural that humans often eating without giving the activity a second thought. Unfortunately, this often leads to consuming more calories ...
Machine Learning-Based Unobtrusive Intake Gesture Detection via Wearable Inertial Sensors

Al-Jlailaty, Hussein; Celik, Abdulkadir; Mansour, Mohammad M.; Eltawil, Ahmed M. (IEEE Computer Society, 2023)

Dietary patterns can be the primary reason for many chronic diseases such as diabetes and obesity. State-of-the-art wearable sensor technologies can play a critical role in assisting patients in managing their eating habits ...
Machine shop laboratory for the American University of Beirut - by Nazih Shaykh

Shaykh, Nazih Muhammad (1951)
Macro talent management theorizing: transnational perspectives of the political economy of talent formation in the Arab Middle East

Metcalfe, Beverly Dawn; Makarem, Yasmeen; Afiouni, Fida (Routledge, 2020)

Challenging dominant Global North trajectories, we critically explore the complex terrain of global talent debates. We contribute new theoretical insights to the Macro Talent Management (MTM) field by examining the complexity ...
Macroeconomic and exchange rate policies in Egypt - by Bachir Raymond Rahal

Rahal, Bachir Raymond (2004)

This project presents a general overview of the Egyptian economy during the 1990s, to understand the importance of the coordination between Monetary and Fis cal policies prior to the floatation of the Egyptian pound in ...

Now showing items 12820-12839 of 23688

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