The Influence of No-Core Fiber Length on the Sensitivity in Fiber Optic Strain Sensor

mohammad muzahim hasan; Hanan J. Taher

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Publication Date

Fri Aug 20 2021

Journal Name

Iraqi Journal Of Laser

Volume

20

Issue Number

1

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The Influence of No-Core Fiber Length on the Sensitivity in Fiber Optic Strain Sensor

optical sensor

strain

Mach-Zehnder

mohammad muzahim hasan

Hanan J. Taher

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The influence of sensing element length of no-core fiber strain sensor has been studied and experimentally demonstrated, four different lengths of 125 μm diameter no-core fiber is fused between two standard single-mode fibers and bi-directionally strained, the highest obtained sensitivity was around 16.37 pm με -1 which was exhibited in the shortest no-core fiber segment, to the best of our knowledge this is the first study of the influence of no-core fiber strain sensors length on sensor sensitivity. The proposed sensor can be used in many opto-mechanical applications such as, structural health monitoring, aerospace vehicles and airplane components monitoring.

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Publication Date

Wed Feb 20 2019

Journal Name

Political Sciences Journal

Policies governing the mechanisms of referees

أ.م.د.فرح ضياء

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The importance of research stems from the prominent role of leaders in the political, administrative, economic and societal spheres in general, which requires highlighting this angle. Research Hypothesis Modern policies work with mechanisms that limit the clear role of governors and transform the ruler into an executive man. It can be assumed that the type of public policy of the state is the only criterion that transfers the ruler from a ruler to an executive.

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Publication Date

Mon Feb 14 2022

Journal Name

Proceedings Of The National Academy Of Sciences

Pharmaceutical pollution of the world’s rivers

John L.

Alistair B.A.

Dana W.

Kenneth M. Y.

Racliffe W. S.

Cristóbal

Aiko D.

Julie

Marc

Robert A.

Alejandra

Aida

Anja

Pedro

Macarena

Chris

Magdalena

Monique

Thais

Vahagn

Yekaterina

Clare S.

Christopher J.

Thilo

Tapos

Volga

Jessica

Jean L.

Francisco

Maria T. P.

Victorien

Gildas

Oumar

Jules M.

Linda E.

Michelle

Donald

Romaric

Jaime

Guang-Guo

Chang-Er

Martha

Jina

Jean-Paul

John

Suspense A.

Penelope

Silvia

Nikolina

Milena

Despo

Lida

Vladimíra

Jan

María

Bayable A.

Jeanne

Arnaud

Peter

Ilia

Sven

Gerasimos

Halldór P.

Molly

Thatikonda

Manisha

Anindrya

Adee

Nima

Ali

Omar

Salem S.

Francesco

Benny

Tom

Koffi Marcellin

Bakhyt

Raikhan

Lydia

Jemimah K.

Peter

Victor

Nathaniel T.

Sheck

Ahmad Zaharin

Ley Juen

Mahamoudane

Seydou T.

Rik

Olatayo

Muhammad

Ziad

Aaron

Jorge Manuel

María

Heidi

Ian

Fabio

Alhaji Brima

Bashiru M.

Vesna

Mitja

Melusi

Kyungho

Habyeong

John L. Celestino

Andreu

Priyanie

Anna

Gisela

Armin K.

Alex C.

Jheng-Jie

Rebecca

Madaka

Ulas

Turgut T.

Julius B.

Yuliya

Yuriy

Horacio

Andrés

Douglas B.

Maritza

David

Charles

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Environmental exposure to active pharmaceutical ingredients (APIs) can have negative effects on the health of ecosystems and humans. While numerous studies have monitored APIs in rivers, these employ different analytical methods, measure different APIs, and have ignored many of the countries of the world. This makes it difficult to quantify the scale of the problem from a global perspective. Furthermore, comparison of the existing data, generated for different studies/regions/continents, is challenging due to the vast differences between the analytical methodologies employed. Here, we present a global-scale study of API pollution in 258 of the world’s rivers, representing the environmental influence of 471.4 million people across

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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

Breast cancer

Cancer prediction

Deep learning

Ensemble learning

Lung cancer

Machine learning

Medical engineering.

Omar Abdullatif

Mohammed Jawad

Zenah Hadi Saied

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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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(4)

Publication Date

Thu Jun 30 2022

Journal Name

Journal Of Accounting And Financial Studies ( Jafs )

Adopting opportunity cost as a tool to increase tax revenue: Applied research in the General Tax Authority - Companies Division

opportunity cost

tax revenue

Talal Abbas Azeez

Faiza Ibrahim Mahmood AL-Ghabban

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This research seeks to try to address one of the important issues in society that prevents the state from achieving its social, economic, political and financial goals, represented by the low tax proceeds, through which it can achieve those goals. What is reflected on the tax proceeds, knowing that the General Tax Authority does not take into account the issue of analyzing the opportunity cost of corporate capital as one of the profit indicators when setting the annual controls, which leads to a decrease in the tax proceeds, and therefore the research objective will be to shed light on the importance of adopting the concept of analysis The opportunity cost by the General Tax Authority to achieve a tax proceeds commensurate with t

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Publication Date

Sun Mar 01 2015

Journal Name

Baghdad Science Journal

Study the effect of Aqueous cold water and Alcoholic extracts of Ziziphus spina christi against bacteria isolated from Conjunctivitis In vitro and In vivo

Hala I.

Talib A.

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This study aimed to study the effect of Ziziphus spina christi Aqueous cold and Alcoholic leaves and fruits extracts on the growth and activities of the following types of bacteria :( Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus and Streptococcus pyogenes ). The results appeared outweigh the alcoholic extract of leaves and fruits of Sidr that prepared by saxholate extractor by addition of ethanol 95% significant superiority as compared with aqueous extract that prepared by using distilled water as was its influence inhibitor to the growth and effectiveness of bacteria , about the treatment of in-vivo to cause injury to these types of bacteria diagnosed laboratory mice and treated with alcoholic extract of the leaves o

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Publication Date

Sat Jan 01 2022

Journal Name

Journal Of Pharmaceutical Negative Results

The Effect of Ferric Citrate in Controlling Iron Deficiency Anemia and its Tolerability in a Sample of Iraqi Hemodialysis Patients: Randomized Controlled Clinical Trial

Reyadh

Fadya

Haydar

Liqaa

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Background: The iron deficiency anemia along with hyperphosphatemia are the main complications of dialysis patients. Traditional iron supplement has been failed to correct iron deficiency anemia, therefore, the current study aimed to investigate the efficacy and tolerability of new phosphate binder, ferric citrate, in a sample of Iraqi patients with end stage renal disease on maintenance hemodialysis. Method: Prospective, randomized, open label, active controlled trial was conducted in one center for dialysis in Babylon governance. Patients were randomized to receive ferric citrate with dose of 6 g/d and calcium carbonate with dose of 3 g/d for eight weeks. Hemoglobin concentration, mean corpuscular hemoglobin concentration and count o

Publication Date

Fri May 01 2020

Journal Name

International Journal Of Psychosocial Rehabilitation

Relationship of some fitness elements with the performance of lifting the iron ball (weight) by gliding method

Ahlam Shaghati

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AS Muhsen, International Journal of Psychosocial Rehabilitation (1475-7192), 2020 - Cited by 1

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Publication Date

Sat Jun 01 2024

Journal Name

Materials And Structures

Exploring the efficacy of sawdust ash as a mineral filler substitute for the production of asphalt mixtures

Sawdust ash

Asphalt concrete

Moisture damage

Resilient modulus. Permanent deformation

Mayank

Aliaa F.

Hussein K.

Amjad

Yu

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Many waste materials can be repurposed effectively within asphalt concrete to enhance the performance and sustainability of pavement. One of these waste materials is sawdust ash (SDA). This study explores the beneficial use of SDA as a substitute for limestone dust (LD) mineral filler in asphalt concrete. The replacement rate was 0%, 15%, 30%, 45%, and 60% by weight of total mineral filler. Scanning electron microscopy (SEM) was employed to assess the surface morphology of Sawdust (SD), SDA, and LD. In addition, a series of tests, including Marshall stability and flow, indirect tensile strength,moisture susceptibility, and repeated uniaxial loading tests, were conducted to examine the performance characteristics of asphalt mixtures of diffe

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(1)

Publication Date

Sat Nov 10 2018

Journal Name

Iraqi National Journal Of Nursing Specialties

Prevalence of Anxiety and Depression Among the Iraqi Repatriated Prisoners of the Iran-Iraq War, 1980-1988

prevalence

anxiety

depression

Iraqi prisoners

war

maan

Ivan

Eqbal

Akhtar

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Objective: To find out the prevalence of anxiety and depression among Iraqi repatriated prisoners of Iran-Iraq war
(IRPOWs), and the relationship with some variables.
Methodology: A descriptive study was carried out from Oct. 18th, 2009 through Jan. 10th, 2010. A Snowball
sampling as a non-probability sampling technique was used to recruit 92 repatriates who had visited Ministry of
Human Rights. An instrument was constructed for this purpose. The constructed instrument consisted of six
demographic characteristics, and fourteen items to measure the level of anxiety and depression in prisoners of
war (POWs). Data were collected with using the constructed instrument and the process of the interview as means
for data col

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Publication Date

Wed Dec 01 2021

Journal Name

Journal Of Physics: Conference Series

Study of the matter density distributions of halo nuclei 6He and 16C using the binary cluster model

Ahmed N.

A N

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The harmonic oscillator (HO) and Gaussian (GS) wave functions within the binary cluster model (BCM) have been employ to investigate the ground state neutron, proton and matter densities as well as the elastic form factors of two- neutron 6He and 16C halo nuclei. The long tail is a property that is clearly revealed in the density of the neutrons since it is found in halo orbits. The existence of a long tail in the neutron density distributions of 6He and 16C indicating that these nuclei have a neutron halo structure. Moreover, the matter rms radii and the reaction cross section (𝜎𝑅 ) of these nuclei have been calculated using the Glauber model.

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