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PATHOGENIC FUNGI IN PEAT MOSS AND SOIL AND THEIR IMPACTION ON COVERED FARM VEGETAB¬LE CROPS
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Identification of pathogens and locating their inocul¬um source (S) are the first strategies toward successful disease management program the pretransplating seedl¬ing damping - off problem on vegetable crops was found to be caused by Pythium aphanidermatum and Rhizocto¬nia solani. Both fungi were isolated from peat (moss) for the first time in Iraq. In addition, considerable num¬ber of pathogenic fungi was found as contaminants in soil samples from Alrashidiah vegetable covered farming station. Among the isolated fungi were: Pythium apha¬nidermatum, Rhizoctonia solani, Sclerotinia sclerotiorum, Fusarium oxysporum, Fusarium solani phialophora spp., Cephalisporium spp Rizopus stolonfier and Botrytis cine¬rea, in addition to several of other folair pathogens Econo¬mic important diseases such as vascular wilt, stem and root rots, blight and fruit rots were found to be caused by those fungi on tomato, cucumber, cucurbit, eggplant and pepper plants that were grown at Alrashidiah. The results suggest that chemical, physical and / or biological treatments should be urgently applied for profitable vegetable growing at this station.

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Publication Date
Fri Jan 01 2016
Journal Name
Journal Of The College Of Languages (jcl)
תאור השטטל ביצירות סופרים עבריים מאת עוזר לפרופ. עדנאן שביב ג'אסם Description of Shtetl in Works of Hebrew writers
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מחקר זה עוסק בנושא (העיירה היהודית) שטטל ביצירותיהם של שני סופרים עבריים שהתמקדו בביקורת בשטטל. וזה נחשב להגבלה או למכשול לפיתוחם של היהודים, אז זה התרחש ביצירותיהם והם נתנו תשומת לב רבה לזה –לפי דעתם- גם זה נחשב להיבט בהיסטוריה והחיים של היהודים באירופה.

 סופרים עבריים רבים התעסקו בנושא השטטל שנהיתה לחומר ביצירותיהם. גם כן נהיתה אצל כמה מהם לשאלה חשובה, כי אם  אנו מוצאים שיצירותיהם לא נטשו את האזכור

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Publication Date
Sat Jan 01 2022
Journal Name
Journal Of Pharmaceutical Negative Results
The diagnostic value of Paraoxonase (PON 1) enzyme activity in the diagnosis of knee joint osteoarthritis: case control study
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Publication Date
Sun Nov 01 2020
Journal Name
Iop Conference Series: Materials Science And Engineering
SnO<sub>2</sub> doped In<sub>2</sub>O<sub>3</sub> thin films as reducing gas sensors
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Summery<p>This research includes description of the x-ray diffraction, morphology and sensing measurements of SnO<sub>2</sub> doped In<sub>2</sub>O<sub>3</sub> thin films synthesized by pulsed laser deposition method on glass and silicon wafer substrates. In2O3:SnO2 powders were obtained by mixing In2O3 with SnO2 in the desired ratio, and calcination the at temperature 1273 K for 5 hours. SnO<sub>2</sub> doped In<sub>2</sub>O<sub>3</sub> thin films with different ratios (0, 0.01, 0.03, 0.05, 0.07, and 0.09% wt.) were prepared using pulsed laser deposition method. The structural investigation using X-ray diffraction revealed that the mai</p> ... Show More
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Publication Date
Sat Jan 01 2022
Journal Name
Journal Of Stomatology
The effectiveness of limited flap design in surgical removal of fully impacted lower third molars: a comparative clinical study
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Introduction: Surgical removal of impacted lower wisdom teeth is one of the most commonly performed proce- dures in oral and maxillofacial surgery. Objectives: This study aimed to compare the operative and post-operative outcomes of 2 flap designs (limited vs. extended 2-sided flap) in surgical extractions of lower third molars (M3) regarding fully impacted teeth. Material and methods: A prospective, randomized, controlled split-mouth trial was designed, and included 27 patients with bilateral (symmetrically positioned) impacted M3. Limited 2-sided flap was performed on one side (group 1) and extended 2-sided flap on the other side (group 2). The effect of flap design on intra-operative (visibility, accessibility, and duration of surgery) a

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Publication Date
Fri Mar 01 2024
Journal Name
Baghdad Science Journal
Deep Learning Techniques in the Cancer-Related Medical Domain: A Transfer Deep Learning Ensemble Model for Lung Cancer Prediction
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Problem: Cancer is regarded as one of the world's deadliest diseases. Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. Traditional ways of analyzing cancer data have their limits, and cancer data is growing quickly. This makes it possible for deep learning to move forward with its powerful abilities to analyze and process cancer data. Aims: In the current study, a deep-learning medical support system for the prediction of lung cancer is presented. Methods: The study uses three different deep learning models (EfficientNetB3, ResNet50 and ResNet101) with the transfer learning concept. The three models are trained using a

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Publication Date
Sun Oct 01 2023
Journal Name
Journal Of Education And Health Promotion
The net atrioventricular compliance in mild to moderate hypertensive patients during the early left ventricle filling: A case series
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BACKGROUND:

The compliance is considered one of the most important parameters which is defined as the change in volume with given change in pressure (dv/dp). It is varying inversely with both diastolic filling and modulus of chamber stiffness.

AIMS:

This study aimed to deduce the net atrioventricular compliance which is affected the trans mitral blood flow.

MATERIALS AND METHODS:

This study focuses on study group of 25 patients (15 males

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Publication Date
Sun Sep 15 2024
Journal Name
Journal Of Baghdad College Of Dentistry
The reliability of insertion torque as an indicator for primary stability in immediate dental implant: A prospective clinical study
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Background: The primary stability of the dental implant is a crucial factor determining the ability to initiate temporary implant-supported prosthesis and for subsequent successful osseointegration, especially in the maxillary non-molar sites. This study assessed the reliability of the insertion torque of dental implants by relating it to the implant stability quotient values measured by the Osstell device. Material and methods: This study included healthy, non-smoker patients with no history of diabetes or other metabolic, or debilitating diseases that may affect bone healing, having non-restorable fractured teeth and retained roots in the maxillary non-molar sites. Primary dental implant stability was evaluated using a torque ratc

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Publication Date
Mon Feb 13 2023
Journal Name
Bmc Oral Health
The reliability of using light therapy compared with LASER in pain reduction of temporomandibular disorders: a randomized controlled trial
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Abstract<sec> <title>Background

Temporomandibular Disorders (TMD) refer to a group of symptoms where pain is the most leading cause to demand a treatment by the patient. Light therapies are of great importance at current times due to its biosafety and non-invasive quality when used for the management of TMD symptoms. This study aimed to evaluate the efficacy of red LED light with low-level LASER in treating TMD patients.

Materials and methods

A double-blind randomized clinical study was conducted and included 60 patients along 3 groups (20 for e

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Publication Date
Mon Jun 30 2025
Journal Name
Acta Logistica
A business continuity-based framework for risk management in smart supply chains: a fuzzy multi-criteria decision-making approach
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The aim of this study is to develop a novel framework for managing risks in smart supply chains by enhancing business continuity and resilience against potential disruptions. This research addresses the growing uncertainty in supply chain environments, driven by both natural phenomena-such as pandemics and earthquakes—and human-induced events, including wars, political upheavals, and societal transformations. Recognizing that traditional risk management approaches are insufficient in such dynamic contexts, the study proposes an adaptive framework that integrates proactive and remedial measures for effective risk mitigation. A fuzzy risk matrix is employed to assess and analyze uncertainties, facilitating the identification of disr

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Publication Date
Sat Jul 01 2023
Journal Name
Iop Conference Series: Earth And Environmental Science
Evaluation the Effect of some Plant Extracts in Controlling the Oriental Hornet vespa orientalis Linnaeus, 1771 Near the Apiaries
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Abstract<p>A significant amount of apiaries is destroyed in most areas of Iraq by attacking of the hornet<italic>Vespa orientalis</italic>Linnaeus, 1771, as well as the deterioration of European honey bees’ Apis mellifera Linnaeus, 1758 productivity recently because the environmental changes and pollutions; this effect was evident in the economy and plant production, because the bees as the most popular species of pollinator of crops globally. There is no effective and environmentally safe method yet; Therefore, this study suggested to use essential oils of Mediterranean cypress<italic>Cupressus sempervirens</italic>L., 1753 (Pinales: Cupressaceae), and testing as a repellant substance. In</p> ... Show More
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