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<b>Vascular Pain: A Narrative Review on Venous Leg Ulcers</b>
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Background: Venous leg ulcers (VLUs) affect 1-3% of the population and impose substantial pain-related morbidity, yet vascular pain remains underrecognized in clinical practice and research. Objectives: This narrative review synthesizes current evidence on the pathophysiology, clinical manifestations, and management strategies for VLU-associated pain. Methods: A comprehensive literature search was conducted across PubMed/MEDLINE, Scopus, Embase, and Web of Science (January 2015-July 2025) following SANRA guidelines. Search terms included "vascular pain", "venous leg ulcer", "chronic venous disease" and related terminology. Studies addressing pathophysiology, clinical characteristics, diagnostic approaches, and therapeutic interventions were included. Results: VLU pain demonstrates complex pathophysiology encompassing nociceptive, neuropathic, and nociplastic components driven by venous hypertension, chronic inflammation, and central sensitization. Pain prevalence ranges from 50-87% in VLU patients, significantly impacting quality of life and functional status. Evidence supports a five-strategy management framework: (1) treating underlying venous pathology through early ablation, (2) optimized compression therapy achieving ~40 mmHg ankle interface pressure, (3) procedure-specific local anesthesia using topical agents, (4) multimodal systemic analgesia targeting neuropathic features, and (5) adjunctive venoactive drugs. Patient-reported outcome measures reveal substantial psychosocial burden beyond wound-related symptoms. Conclusion: VLU pain represents a distinct clinical entity requiring mechanism-based, multidisciplinary approaches. Early venous intervention, evidence-based compression protocols, and targeted analgesic strategies show promise for improving outcomes. Critical research gaps include dedicated pain-focused clinical trials, standardized outcome measures, and personalized treatment algorithms. Enhanced recognition and systematic management of vascular pain could substantially improve patient-centered outcomes in chronic venous disease.

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Publication Date
Thu Feb 01 2018
Journal Name
Journal Of Engineering
Using a New Modification on Wind Turbine Ventilator for Improving Indoor Air Quality
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This paper describes a newly modified wind turbine ventilator that can achieve highly efficient ventilation. The new modification on the conventional wind turbine ventilator system may be achieved by adding a Savonius wind turbine above the conventional turbine to make it work more efficiently and help spinning faster. Three models of the Savonius wind turbine with 2, 3, and 4 blades' semicircular arcs are proposed to be placed above the conventional turbine of wind ventilator to build a hybrid ventilation turbine. A prototype of room model has been constructed and the hybrid turbine is placed on the head of the room roof. Performance's tests for the hybrid turbine with a different number of blades and different values o

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Publication Date
Wed Sep 26 2018
Journal Name
Communications In Computer And Information Science
A New RGB Image Encryption Based on DNA Encoding and Multi-chaotic Maps
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Publication Date
Wed Jun 10 2015
Journal Name
مجلة الاستاذ للعلوم الانسانية و الاجتماعية
TAXONOMY ARCHAIC TEMPORAL DEACTUALIZATION VOCABULARY (on the material of A. S. Pushkin's poems)
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The author’s taxonomy of the archaic temporally deactivated vocabulary, compiled on the poems by A.S. Pushkin, has been proposed in the article. The definitions of the concepts “obsolete lexicon”, “archaisms” in modern linguistics have been represented. The key approaches and criteria for the classification of archaic vocabulary, which occur at different levels of language: phonetic / phonological, morphological, lexical and syntactic have been outlined. An attempt has been made to classify the archaic vocabulary represented in the poems by A.S. Pushkin. The following thematic groups have been give: complete archaisms and partial archaisms, among which, in turn, can be traced: phonetic / phonological, graphic, word-building archai

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Publication Date
Sun Mar 06 2022
Journal Name
Al–bahith Al–a'alami
DEPENDENCE OF MEDIA OFFICES ON THE CABINET'S WEBSITE AS A SOURCE OF INFORMATION
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     The research aimed to identify the extent to which the media offices in the ministries depend on the website of the Iraqi Council of Ministers as a source of information. Such goal includes a set of sub-goals: Knowing the reasons for media offices' reliance on the information provided by the Cabinet's website; and revealing the benefit derived from relying on the Cabinet's website.

The researcher used the survey method to screen and comprehend the extent to which the media offices in the ministries depend on the website of the Iraqi Council of Ministers as a source of information.

The mechanism of comprehensive account of the limits of research wa

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Publication Date
Wed Feb 01 2023
Journal Name
Ecotoxicology And Environmental Safety
The role of environmental trace element toxicants on autism: A medical biogeochemistry perspective
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Publication Date
Mon Dec 01 2014
Journal Name
2014 Ieee Symposium On Differential Evolution (sde)
Comparative analysis of a modified differential evolution algorithm based on bacterial mutation scheme
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A new modified differential evolution algorithm DE-BEA, is proposed to improve the reliability of the standard DE/current-to-rand/1/bin by implementing a new mutation scheme inspired by the bacterial evolutionary algorithm (BEA). The crossover and the selection schemes of the DE method are also modified to fit the new DE-BEA mechanism. The new scheme diversifies the population by applying to all the individuals a segment based scheme that generates multiple copies (clones) from each individual one-by-one and applies the BEA segment-wise mechanism. These new steps are embedded in the DE/current-to-rand/bin scheme. The performance of the new algorithm has been compared with several DE variants over eighteen benchmark functions including sever

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Publication Date
Tue Sep 01 2026
Journal Name
Al-khwarizmi Engineering Journal
Conveyor Belt Speed Control Based on Object Classes Using a Convolutional Neural Network
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Conveyor belt systems facilitate the movement of goods and materials, making them an essential part of various fields. Deep learning control methods are therefore indispensable to assure their energy efficiency and optimal motor speed. Here, training is conducted via a convolutional neural network with transfer learning using VGG16 base net. Feature extraction layers are fixed, whilst fully connected layers are replaced. Thirty-three appropriate object classes are considered for classification, and images are acquired using an overhead camera. The obtained weight values are transmitted to Arduino that uses these data to control the stepper motor speed for optimal performance and minimum energy consumption, achieving approximate esti

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Publication Date
Wed Apr 24 2019
Journal Name
Aerosol Science And Technology
Effect of axial eccentricity on the performance of a cylindrical differential mobility classifier
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Publication Date
Wed Aug 28 2024
Journal Name
Mesopotamian Journal Of Cybersecurity
A Novel Anomaly Intrusion Detection Method based on RNA Encoding and ResNet50 Model
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Cybersecurity refers to the actions that are used by people and companies to protect themselves and their information from cyber threats. Different security methods have been proposed for detecting network abnormal behavior, but some effective attacks are still a major concern in the computer community. Many security gaps, like Denial of Service, spam, phishing, and other types of attacks, are reported daily, and the attack numbers are growing. Intrusion detection is a security protection method that is used to detect and report any abnormal traffic automatically that may affect network security, such as internal attacks, external attacks, and maloperations. This paper proposed an anomaly intrusion detection system method based on a

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Publication Date
Mon Dec 05 2022
Journal Name
Baghdad Science Journal
A Security and Privacy Aware Computing Approach on Data Sharing in Cloud Environment
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Today, the role of cloud computing in our day-to-day lives is very prominent. The cloud computing paradigm makes it possible to provide demand-based resources. Cloud computing has changed the way that organizations manage resources due to their robustness, low cost, and pervasive nature. Data security is usually realized using different methods such as encryption. However, the privacy of data is another important challenge that should be considered when transporting, storing, and analyzing data in the public cloud. In this paper, a new method is proposed to track malicious users who use their private key to decrypt data in a system, share it with others and cause system information leakage. Security policies are also considered to be int

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