5,029 research outputs found
Virulence spectra and geographical distribution of Mal Secco disease of citrus caused by Phoma tracheiphila in the Mediterranean countries: Tunisia and Italy
No full textThis work aimed to find out patterns of virulence
variability of a Phoma tracheiphila population of
51 isolates, to determine geographic distribution of Mal
Secco disease in citrus orchards of six Mediterranean
countries and also to establish correlation between geographic
distribution and pathotypic distance of P. tr
population structure over our sampling spatial scale.
Based on unweighted pair-group method with arithmetic
averaging clustering and mean disease rating scores,
three distinct virulence groups were identified. The 51
isolates were classified into 20 pathotypes. Extensive
virulence variability was detected in 51 isolates of P. tr
causing MSD of citrus in the Mediterranean basin.
Regression plot between pairwise virulence and geographical
distance showed that virulence is independent
of the geographical origin and that isolates collected
from the same country have different degrees of virulence.
The lack of significant correlation between virulence
and geographic structure confirmed the absence of
isolation-by-distance pattern, suggesting non-regular and non-gradual dispersal of the pathogen over this
spatial scale
Sulodexide for Diabetic-Induced Disabilities: A Systematic Review and Meta-Analysis
No full textIntroduction Micro- and macrovascular complications of diabetes are leading morbidities in the world population. They are responsible not only for increased mortality but also severe disabilities, which jeopardize quality of life (e.g., blindness, walking limitations, and renal failure requiring dialysis). The new antidiabetic agents (e.g., glucagon-like peptide 1 receptor agonists and sodium-glucose cotransporter inhibitors) are increasingly recognized as breakthrough agents in the treatment of diabetes and prevention of diabetic complications. However, drugs effective in preventing and treating diabetic disabilities are still needed and sulodexide could be one of those able to address the unmet clinical needs of the new antidiabetic agents. Methods We searched MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials, and the World Health Organization (WHO) International Clinical Trials Registry Platform Search Portal. We also manually searched potentially relevant journals, conference proceedings, and journal supplements. Any study monitoring any effect of sulodexide in subjects with diabetes, in relation to renal, vascular, and ocular complication, was considered. Treatment effects were estimated using standardized mean differences (SMDs), mean differences (MDs), and risk ratios (RRs), as appropriate. We calculated 95% confidence interval (CIs) and heterogeneity (Q, tau, and I-2). Results The search found 45 studies with 2817 participants (mean age 57 years; 63% male). The 26 randomized controlled studies included 2074 participants (mean age 58.8 years; 66% male). Sulodexide reduced the impact of diabetic retinopathy; increased the pain-free and maximal walking distance in peripheral arterial disease; accelerated the healing of diabetes-associated trophic ulcers; and decreased the rate of albumin excretion in subjects with nephropathy. The risk of adverse events (AEs) was not different between sulodexide and controls. Conclusion Sulodexide has a beneficial effect on the ocular, peripheral arterial disease, trophic ulcers, and renal complications of diabetes without increasing the risk of AEs
First person – Ahmed Elbediwy
No full textFirst Person is a series of interviews with the first authors of a selection of papers published in Journal of Cell Science, helping early-career researchers promote themselves alongside their papers. Ahmed Elbediwy is the first author on ‘Enigma proteins regulate YAP mechanotransduction’, published in Journal of Cell Science. Ahmed is a postdoctoral fellow in the lab of Barry Thompson at The Francis Crick Institute, London, UK, investigating the cytoskeleton, RhoGTPases and the regulation of YAP/TAZ oncoproteins
Current and emerging treatment options for myopic choroidal neovascularization
No full textLeila El Matri, Ahmed Chebil, Fedra Kort Department B of Ophthalmology, Hedi Rais Institute of Ophthalmology, Faculty of Medicine of Tunis, University of El Manar, Tunis, Tunisia Abstract: Choroidal neovascularization (CNV) is the main cause of visual impairment in highly myopic patients younger than 50 years of age. There are different treatments for myopic CNV (mCNV), with 5- to 10-year outcomes currently. Chorioretinal atrophy is still the most important determinant factor for visual outcome. The purpose of this study is to provide an overview of the current treatments for mCNV, including laser, surgical management, verteporfin photodynamic therapy, and mainly anti-vascular endothelial growth factor therapy. Emerging treatment options are also discussed. Keywords: myopia, choroidal neovascularization, current treatment, emerging treatmen
Author Checklist - Full - Ahmed Essa_ 135540.pdf
No full textAttached is a required author checklist for animal research </p
Abul Mansur Ahmed Research Essay 2023
No full textThis is a research essay submitted to the 'Abul Mansur Ahmed Smriti Parishad' in 2023 for primary selection for publication, however, in the end, it was decided by the author not to publish it in the local publisher's policy. Thus the author holds the sole copyright of this article and possesses intellectual property of the work and wishes to publish it in future in reputable platforms.An Intellectual Work on Abul Mansur Ahmed produced by Naywaz Shari
The three blind men and the elephant. In search of a holistic view of Somalia. A comment to Ahmed I. Samatar
No full textIn this article, the author comments on Ahmed I. Samatar contribution on main perspectives gleaned from books and articles by Somali scholars published in the recent years.Qoraagu wuxuu maqaalkaan kaga faalloonayaa shirweynihi Axmed I. Samatar, oo la xiriiray waxyaabaha ugu doorka roon ee laga filayo in ay ka soo baxaan qoraalladii ay soo saareen aqoonyahannada Soomaaliyeed sannadaahan dambe.In questo articolo, l'autore commenta l'intervento al congresso di Ahmed I. Samatar relativo alle principali prospettive che emergono dai lavori pubblicati negli ultimi anni da studiosi somali.M.S. Lilius (ed.
Interview with Ahmed al-Dajani
No full textفي هذه المقابلة، يتحدث الدكتور أحمد الدجاني، المفكر الفلسطيني، عن الفصائل الفلسطينية. أجرت المقابلة إيمان رافع.In this interview, Ahmed al-Dajani, a Palestinian author, speaks about Palestinian factions. The interview was conducted by Iman Rafi
Simultaneous Twin Kernel Learning Using Polynomial Transformations for Structured Prediction
No full textMany learning problems in computer vision can be posed as structured prediction problems, where the input and output instances are structured objects such as trees, graphs or strings rather than, single labels {+1, −1} or scalars. Kernel methods such as Structured Support Vector Machines , Twin Gaussian Processes (TGP), Structured Gaussian Processes, and vector-valued Reproducing Kernel Hilbert Spaces (RKHS), offer powerful ways to perform learning and inference over these domains. Positive definite kernel functions allow us to quantitatively capture similarity between a pair of instances over these arbitrary domains. A poor choice of the kernel function, which decides the RKHS feature space, often results in poor performance. Automatic kernel selection methods have been developed, but have focused only on kernels on the input domain (i.e.’one-way’). In this work, we propose a novel and efficient algorithm for learning kernel functions simultaneously, on both input and output domains. We introduce the idea of learning polynomial kernel transformations, and call this method Simultaneous Twin Kernel Learning (STKL). STKL can learn arbitrary, but continuous kernel functions, including ’one-way’ kernel learning as a special case. We formulate this problem for learning covariances kernels of Twin Gaussian Processes. Our experimental evaluation using learned kernels on synthetic and several real-world datasets demonstrate consistent improvement in performance of TGP’s.Peer reviewe
Interview with Nemat Ahmed Fouad
No full textمقابلة مع الكاتبة المصرية نعمت أحمد فؤاد عن تطورها المهني والذي تراوح بين موقعها القيادي في المجلس الأعلى للفنون وأعمالها وترجماتها العديدة. كما تتحدث عن عملها وأفكارها في حركة الكتابة النسائية المصرية وتحدثت عن تأثير مرشديها ولا سيما الدكتور احمد حسن الزيات. قامت بالمقابلة أمال سعيد.An interview with Egyptian author Nemat Ahmed Fouad about her professional progression, her leadership position in the Supreme Council of Arts, her works in and thoughts on the Egyptian women's writing movement, and the influence of her mentors, notably Dr. Ahmed Hassan Al-Zayat. The interview was conducted by Amal Saeed
- …
