Mustafa Korkmaz, Hasan Özçelik,
... Bieb., G. bitlisensis Barkoudah, G. viscosa Murray, G. antari Post & Beauverd, G. muralis L., G. tubulosa (Jaub. & ... medium levels of nitrogen and organic matter. G. antari, which had the greatest lime content, had the ... number of leaves. For G. tubulosa and G. antari, potassium and organic matter concentrations were negatively related ...
Tópico(s): Lichen and fungal ecology
2013 - Scientific and Technological Research Council of Turkey (TUBITAK) | TURKISH JOURNAL OF BOTANY
Touhami Mokrani, Michael S. Scurrell,
... ACKNOWLEDGMENTS The authors would like to acknowledge Ahmed Antari (InSalah Gas, Algeria) for allowing us to use ... 2015, a Gas Producer's Viewpoint," authors Ahmed Antari, Abdelouahab Arioua, and Touhami Mokrani. T. Mokrani thanks ...
Tópico(s): Catalysis and Hydrodesulfurization Studies
2009 - Taylor & Francis | Catalysis Reviews
Jeffrey P. Kanne, Brent P. Little, Jonathan H. Chung, Brett M. Elicker, Loren H. Ketai,
... Prediction from Chest X-rayDanielAddo, Mugahed A.Al-Antari, ShijieZhou, KwabenaSarpong, PeterAtandoh, Edward MensahAcheampong, Gladys WavinyaMuoka, Radhwan ... X-Ray and CT ScansDanielAddo, Mugahed A.Al-antari, ShijieZhou, KwabenaSarpong, ErtanBütün, MuhammedTalo, HumamAbuAlkebash, Chiagoziem C.Ukwuoma2023Oct26Neural ...
Tópico(s): Ultrasound in Clinical Applications
2020 - Radiological Society of North America | Radiology
Cindy Angelia, Astia Sanjaya, Aida Aida, Ellen Tanudjaja, Hans Victor, Antari Daru Cahyani, Tjie Jan Tan, Reinhard Pinontoan,
... Astia Sanjaya , Aida Aida , Ellen Tanudjaja , Hans Victor , Antari Daru Cahyani , Tjie Jan Tan and Reinhard Pinontoan . ...
Tópico(s): Enzyme Production and Characterization
2019 - Springer Science+Business Media | Microbiology and Biotechnology Letters
B. Aganchich, Abderraouf El Antari, Said Wahbi, H. Tahi, R. Wakrim, Rachid Serraj,
Fruit and oil quality of mature olive trees under partial rootzone drying in field conditions.This study was conducted to evaluate the quantitative and qualitative effects of partial rootzone drying (PRD) irrigation on olive trees and their fruit and oil quality.Olive trees of the Moroccan Picholine variety were grown under arid conditions in Marrakech, and exposed to four irrigation treatments: Control (irrigated with 100 % of the crop evapotranspiration, on the two sides of the root system), PRD1 ( ...
Tópico(s): Plant Physiology and Cultivation Studies
2008 - Spanish National Research Council | Grasas y Aceites
Samira Chabaa, Abdelouhab Zeroual, Jilali Antari,
This paper presents the development of an artificial neural network (ANN) model based on the multi-layer perceptron (MLP) for analyzing internet traffic data over IP networks. We applied the ANN to analyze a time series of measured data for network response evaluation. For this reason, we used the input and output data of an internet traffic over IP networks to identify the ANN model, and we studied the performance of some training algorithms used to estimate the weights of the neuron. The comparison ...
Tópico(s): Network Traffic and Congestion Control
2010 - Scientific Research Publishing | Journal of Intelligent Learning Systems and Applications
Jilali Antari, Radouane Iqdour, Abdelouhab Zeroual,
This investigation has two main objectives. The first one is to propose a statistical method, based on the fourth order cumulants, to identify single-input single-output ‘SISO’, finite impulse response ‘FIR’ system using non gaussian input, zero mean and independent identically distributed signals. The second objective is to search, as an application, a model for forecasting the wind speed time series and to compare the obtained results with those obtained using the Takagi- Sugeno ‘TS’ fuzzy techniques. ...
Tópico(s): Wind Energy Research and Development
2006 - | Journal of Renewable Energies
Kamila Rahmani-Antari, Georges Lachkar,
Tópico(s): Protist diversity and phylogeny
2001 - Elsevier BV | Revue de Micropaléontologie
Saleha Sungkar, Anggi P. N. Pohan, Antari Ramadani, Nafisah Albar, Fitri Azizah, Antonius R. A. Nugraha, Aprilianto E. Wiria,
Intestinal parasitic infections (IPIs) are one of the major public health problems, especially in the rural area of developing countries with low socio-economic status and poor sanitation. The study was aimed to determine the prevalence of IPIs among the inhabitants of a rural area in South West Sumba, eastern part of Indonesia. A cross-sectional study was done in Kalena Rongo village, South West Sumba in April 2014. Stool samples were collected and examined for IPIs using direct smear method. Faecal ...
Tópico(s): Parasite Biology and Host Interactions
2015 - BioMed Central | BMC Public Health
S.U. Park, J.H. Park, Mohammed A. Al‐masni, Mugahed A. Al-antari, Md. Zia Uddin, T.-S. Kim,
Human activity recognition (HAR) has become an active research topic in the fields of health and social care, since this technology offers automatic monitoring and understanding of activities of patients or residents. Depth camera-based HAR recognizes human activities using features from depth human silhouettes via conventional classifiers such as Hidden Markov Model (HMM), Conditional Random Fields etc. In this paper, we propose a new HAR system via Recurrent Neural Network (RNN) which is one of deep ...
Tópico(s): Human Pose and Action Recognition
2016 - Elsevier BV | Procedia Computer Science
Aman P. Singh, Katie F. Maass, Alison Betts, K. Dane Wittrup, Chethana Kulkarni, Lindsay E. King, Antari Khot, Dhaval K. Shah,
A mathematical model capable of accurately characterizing intracellular disposition of ADCs is essential for a priori predicting unconjugated drug concentrations inside the tumor. Towards this goal, the objectives of this manuscript were to: (1) evolve previously published cellular disposition model of ADC with more intracellular details to characterize the disposition of T-DM1 in different HER2 expressing cell lines, (2) integrate the improved cellular model with the ADC tumor disposition model to ...
Tópico(s): CAR-T cell therapy research
2016 - Springer Science+Business Media | The AAPS Journal
Hamid Ajana, Abderraouf El Antari,
RESUMENEvolución de los ácidos grasos y de los esteróles durante la maduración de aceitunas de la
Tópico(s): Essential Oils and Antimicrobial Activity
1998 - Spanish National Research Council | Grasas y Aceites
Antari Khot, Jay Tibbitts, Dan A. Rock, Dhaval K. Shah,
Systems pharmacokinetic (PK) models that can characterize and predict whole body disposition of antibody-drug conjugates (ADCs) are needed to support (i) development of reliable exposure-response relationships for ADCs and (ii) selection of ADC targets with optimal tumor and tissue expression profiles. Towards this goal, we have developed a translational physiologically based PK (PBPK) model for ADCs, using T-DM1 as a tool compound. The preclinical PBPK model was developed using rat data. Biodistribution ...
Tópico(s): Estrogen and related hormone effects
2017 - Springer Science+Business Media | The AAPS Journal
Mugahed A. Al-antari, Mohammed A. Al‐masni, Sung-Un Park, JunHyeok Park, Mohamed K. Metwally, Yasser M. Kadah, Seung‐Moo Han, Tae-Seong Kim,
Tópico(s): Image Retrieval and Classification Techniques
2017 - Springer Science+Business Media | Journal of Medical and Biological Engineering
N. Hachem, M. Madani, A. Lafhal, A. El Antari, A. Alrajhi, M. El Bouziani,
Tópico(s): Physics of Superconductivity and Magnetism
2017 - Springer Science+Business Media | Journal of Superconductivity and Novel Magnetism
Mohammed A. Al‐masni, Mugahed A. Al-antari, Jeongmin Park, G. Gi, Tae‐Yeon Kim, Patricio Rivera, Edwin Valarezo Añazco, Mun‐Taek Choi, Seung‐Moo Han, Tae‐Seong Kim,
Automatic detection and classification of the masses in mammograms are still a big challenge and play a crucial role to assist radiologists for accurate diagnosis. In this paper, we propose a novel Computer-Aided Diagnosis (CAD) system based on one of the regional deep learning techniques, a ROI-based Convolutional Neural Network (CNN) which is called You Only Look Once (YOLO). Although most previous studies only deal with classification of masses, our proposed YOLO-based CAD system can handle detection ...
Tópico(s): COVID-19 diagnosis using AI
2018 - Elsevier BV | Computer Methods and Programs in Biomedicine
Mohammed A. Al‐masni, Mugahed A. Al-antari, Mun‐Taek Choi, Seung‐Moo Han, Tae‐Seong Kim,
Automatic segmentation of skin lesions in dermoscopy images is still a challenging task due to the large shape variations and indistinct boundaries of the lesions. Accurate segmentation of skin lesions is a key prerequisite step for any computer-aided diagnostic system to recognize skin melanoma.In this paper, we propose a novel segmentation methodology via full resolution convolutional networks (FrCN). The proposed FrCN method directly learns the full resolution features of each individual pixel ...
Tópico(s): Nonmelanoma Skin Cancer Studies
2018 - Elsevier BV | Computer Methods and Programs in Biomedicine
Johannes Schropp, Antari Khot, Dhaval K. Shah, Gilbert Koch,
Bispecific antibodies (BsAbs) bind to two different targets, and create two binary and one ternary complex ( TC ). These molecules have shown promise as immuno‐oncology drugs, and the TC is considered the pharmacologically active species that drives their pharmacodynamic effect. Here, we have presented a general target‐mediated drug disposition (TMDD) model for these BsAbs, which bind to two different targets on different cell membranes. The model includes four different binding events for BsAbs, turnover ...
Tópico(s): Toxin Mechanisms and Immunotoxins
2018 - Nature Portfolio | CPT Pharmacometrics & Systems Pharmacology
Mugahed A. Al-antari, Mohammed A. Al‐masni, Mun‐Taek Choi, Seung‐Moo Han, Tae‐Seong Kim,
A computer-aided diagnosis (CAD) system requires detection, segmentation, and classification in one framework to assist radiologists efficiently in an accurate diagnosis. In this paper, a completely integrated CAD system is proposed to screen digital X-ray mammograms involving detection, segmentation, and classification of breast masses via deep learning methodologies. In this work, to detect breast mass from entire mammograms, You-Only-Look-Once (YOLO), a regional deep learning approach, is used. ...
Tópico(s): COVID-19 diagnosis using AI
2018 - Elsevier BV | International Journal of Medical Informatics
A. El Antari, H. Zahir, A. Hasnaoui, N. Hachem, A. Alrajhi, M. Madani, M. El Bouziani,
Tópico(s): Quantum many-body systems
2018 - Springer Science+Business Media | International Journal of Theoretical Physics
Dildar Hussain, Mugahed A. Al-antari, Mohammed A. Al‐masni, Seung‐Moo Han, Tae-Seong Kim,
BACKGROUND:Accurate measurement of bone mineral density (BMD) in dual-energy X-ray absorptiometry (DXA) is essential for proper diagnosis of osteoporosis. Calculation of BMD requires precise bone segmentation and subtraction of soft tissue absorption. Femur segmentation remains a challenge as many existing methods fail to correctly distinguish femur from soft tissue. Reasons for this failure include low contrast and noise in DXA images, bone shape variability, and inconsistent X-ray beam penetration ...
Tópico(s): Bone health and osteoporosis research
2018 - IOS Press | Journal of X-Ray Science and Technology
Antari Khot, Satoko Matsueda, Veena A. Thomas, Richard C. Koya, Dhaval K. Shah,
Here we have investigated whole-body pharmacokinetics (PK) of exogenously administered T cells in a mouse model of melanoma and have developed a physiologically based pharmacokinetic (PBPK) model to quantitatively characterize the data. T cells were isolated from the spleen of tumor-bearing mice, activated, and labeled with chromium-51 to facilitate the quantification. Labeled T cells were injected in the tumor-bearing mice, and PK was measured in 19 different tissues. It was found that T cells disappear ...
Tópico(s): Biosimilars and Bioanalytical Methods
2019 - American Society for Pharmacology and Experimental Therapeutics | Journal of Pharmacology and Experimental Therapeutics
Soraya Mousavi, Raúl de la Rosa, Abdelmajid Moukhli, Milad El Riachy, Roberto Mariotti, Mariela Torres, Pierluigi Pierantozzi, Vitale Stanzione, Valerio Mastio, Hayat Zaher, Abderraouf El Antari, Salam Ayoub, Faten Dandachi, Hiyam Youssef, Nikolas Aggelou, Cibeles Contreras, Damián Maestri, Angjelina Belaj, Marina Bufacchi, Luciana Baldoni, Lorenzo León,
Olive is a long-living perennial species with a wide geographical distribution, showing a large genetic and phenotypic variation in its growing area. There is an urgent need to uncover how olive phenotypic traits and plasticity can change regardless of the genetic background. A two-year study was conducted, based on the analysis of fruit and oil traits of 113 cultivars from five germplasm collections established in Mediterranean Basin countries and Argentina. Fruit and oil traits plasticity, broad- ...
Tópico(s): Plant Physiology and Cultivation Studies
2019 - Nature Portfolio | Scientific Reports
S. El Qarnifa, Abderraouf El Antari, Abdellatif Hafidi,
This work aims at evidencing the quality and chemical composition of extra virgin olive oils according to stages of maturity and in relation to the geographical location of olives. Three different olive cultivars (Moroccan Picholine, Languedoc Picholine, and Frantoio), grown in two different locations in Morocco (Errachidia and Marrakech), were studied during the two crop years (2016 and 2017) at three stages of maturity (green, purple, and black). This work has been carried out by analyzing several ...
Tópico(s): Nuts composition and effects
2019 - Hindawi Publishing Corporation | Journal of Food Quality
Mugahed A. Al-antari, Cam-Hao Hua, Jaehun Bang, Sungyoung Lee,
Coronavirus disease 2019 (COVID-19) is a novel harmful respiratory disease that has rapidly spread worldwide. At the end of 2019, COVID-19 emerged as a previously unknown respiratory disease in Wuhan, Hubei Province, China. The world health organization (WHO) declared the coronavirus outbreak a pandemic in the second week of March 2020. Simultaneous deep learning detection and classification of COVID-19 based on the full resolution of digital X-ray images is the key to efficiently assisting patients ...
Tópico(s): Radiomics and Machine Learning in Medical Imaging
2020 - Springer Science+Business Media | Applied Intelligence
Agung Putra, Ika Rosdiana, Dewi Masyithah Darlan, Iffan Alif, Fitri Hayuningtyas, I Nyoman Wahyu Esa Wijaya, Rita Aryanti, Fadhli Rizal Makarim, Arini Dewi Antari,
Background: Mesenchymal stem cells (MSCs) migrate and transmigrate to acute liver failure (ALF) area due to vascular endothelial growth factor (VEGF) stimulation as an attractant molecule then actively giving the paracrine signaling and or differentiating into primary hepatocytes, however the best route of MSCs transplanted to liver injury area remains unclear. Aim: In this study we compare intravenous (IV) and intraperitoneal (IP) route of MSCs administration by analyzing serum glutamic pyruvic ...
Tópico(s): Liver physiology and pathology
2020 - De Gruyter Open | Folia Medica
Mugahed A. Al-antari, Seung‐Moo Han, Tae‐Seong Kim,
Deep learning detection and classification from medical imagery are key components for computer-aided diagnosis (CAD) systems to efficiently support physicians leading to an accurate diagnosis of breast lesions. In this study, an integrated CAD system of deep learning detection and classification is proposed aiming to improve the diagnostic performance of breast lesions. First, a deep learning YOLO detector is adopted and evaluated for breast lesion detection from entire mammograms. Then, three deep ...
Tópico(s): COVID-19 diagnosis using AI
2020 - Elsevier BV | Computer Methods and Programs in Biomedicine
Edwin Valarezo Añazco, Patricio Rivera, Nahyeon Park, Ji-Heon Oh, Gahyeon Ryu, Mugahed A. Al-antari, Tae‐Seong Kim,
Tópico(s): Soft Robotics and Applications
2020 - Springer Science+Business Media | Applied Intelligence
Agung Putra, Ika Rosdiana, Dewi Masyithah Darlan, Iffan Alif, Fitri Hayuningtyas, I Nyoman Wahyu Esa Wijaya, Rita Aryanti, Fadhli Rizal Makarim, Arini Dewi Antari,
Background: Mesenchymal stem cells (MSCs) migrate and transmigrate to acute liver failure (ALF) area due to vascular endothelial growth factor (VEGF) stimulation as an attractant molecule then actively giving the paracrine signaling and or differentiating into primary hepatocytes, however the best route of MSCs transplanted to liver injury area remains unclear. Aim: In this study we compare intravenous (IV) and intraperitoneal (IP) route of MSCs administration by analyzing serum glutamic pyruvic ...
Tópico(s): Liver physiology and pathology
2020 - De Gruyter Open | Folia Medica
Mugahed A. Al-antari, Mohammed A. Al‐masni, Tae‐Seong Kim,
For computer-aided diagnosis (CAD), detection, segmentation, and classification from medical imagery are three key components to efficiently assist physicians for accurate diagnosis. In this chapter, a completely integrated CAD system based on deep learning is presented to diagnose breast lesions from digital X-ray mammograms involving detection, segmentation, and classification. To automatically detect breast lesions from mammograms, a regional deep learning approach called You-Only-Look-Once (YOLO) ...
Tópico(s): COVID-19 diagnosis using AI
2020 - Springer Nature | Advances in experimental medicine and biology