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Human Activity Recognition using Smartwatch and Smartphone: A Review on Methods, Applications, and Challenges
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     Recently, Human Activity Recognition (HAR) has been a popular research field due to wide spread of sensor devices. Embedded sensors in smartwatch and smartphone enabled applications to use sensors in activity recognition with challenges for example, support of elderly’s daily life . In the aim of recognizing and analyzing human activity many approaches have been implemented in researches.  Most articles published on human activity recognition used a multi -sensors based methods where a number of sensors were tied on different positions on a human body which are not suitable for many users. Currently, a smartphone and smart watch device combine different types of sensors which present a new area for analysis of human attitude. This paper presents a review on methodologies applied to solve problems related to human activity recognition that use the equipped sensors in smartphone and smartwatch with the employ of Machine Learning and the advance of deep learning approaches. The literature is summarized from four aspects:  sensors types, applications, Machine Learning (ML) and Deep Learning (DL) models, results and challenges.

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Publication Date
Sun Jul 01 2012
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Antagonstic Effect of Lactobacillus Fermentum Supernatant AgainstEnterococcus Faeciumand Enterococcus Faecalis In Vitro
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Background:Lactobacillus fermentum selected as an alternative treatment to prevent or treat urogenital infection based on their probiotics properties and production of bacteriocins.
Objective: The present work was done to study the inhibition activity of L. fermentum cell free supernatant against urogenital pathogens Enterococcus faecium and Enterococcus faecalisinvitro.
Materials and methods: L.fermentum isolates have been collected from vaginal swabs . A supernatant of these isolates has been prepared and its antibacterial activity against 3 isolates of E.faecium and 3 isolates of E.faecalis has been studied.
Results: Different concentrations have been prepared and the most effective one was 1000μg/ml and the most affected is

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Publication Date
Thu Jul 01 2021
Journal Name
Iraqi Journal Of Science
Association of Iron Status in Follicular Fluid with Pregnancy Outcomes in Infertile Women Undergoing IVF/ICSI
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Iron status may influence the outcome of infertile women under the intracytoplasmic sperm injection (ICSI) technique of in vitro fertilization (IVF). The aim of this study is to evaluate iron status and ceruloplasmin ferroxidase activity in the follicular fluid (FF) and their association with IVF outcomes. The study enrolled fertile women with male cause infertility (n=25), infertile women with polycystic ovary syndrome (PCOS; n=21), infertile women with low AMH level (n=26), and women with unexplained infertility (UI; n=27), all undergoing IVF/ICSI. On the day of oocyte suction, the selection of FF samples was accomplished. Iron, ferritin, and transferrin levels, as well as ceruloplasmin (CP) ferroxidase activity, were measured

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Publication Date
Sun Jan 01 2023
Journal Name
Journal Of Robotics And Control (jrc)
Artificial Intelligence Based Deep Bayesian Neural Network (DBNN) Toward Personalized Treatment of Leukemia with Stem Cells
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The dynamic development of computer and software technology in recent years was accompanied by the expansion and widespread implementation of artificial intelligence (AI) based methods in many aspects of human life. A prominent field where rapid progress was observed are high‐throughput methods in biology that generate big amounts of data that need to be processed and analyzed. Therefore, AI methods are more and more applied in the biomedical field, among others for RNA‐protein binding sites prediction, DNA sequence function prediction, protein‐protein interaction prediction, or biomedical image classification. Stem cells are widely used in biomedical research, e.g., leukemia or other disease studies. Our proposed approach of

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Publication Date
Wed Dec 30 2020
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Experimental Investigation of Moisture Sorption Isotherms for Mefenamic Acid Tablets
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   The moisture sorption isotherms of Mefenamic acid tablets were investigated by measuring the experimental equilibrium moisture content (EMC) using the static method of saturated salt solutions at three temperatures (25, 35, and 45°C) and water activity range from 0.056 to 0.8434. The results showed that EMC increased when relative humidity increased and the sorption capacity decreased, the tablets became less hygroscopic and more stable when the temperature increased at constant water activity. The sorption curves had a sigmoid shape, type II according to Brunauer’s classification. The hysteresis effect was significant along with the whole sorption process. The results were fitted to three models: Oswin, Smith, and Guggen

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Publication Date
Wed Jul 16 2014
Journal Name
Transactions Of The Asabe
Sorption Isotherms for Triticale Seed
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Triticale is being evaluated as a substitute for corn in animal feed and as a forage crop for Florida. Storage of triticale seed is difficult in Florida's hot and humid climate, and more information about the relationships between equilibrium moisture content (EMC) and equilibrium relative humidity (ERH) at constant temperature (sorption isotherms) of triticale is needed to develop improved storage methods. Therefore, the primary research objective was to measure the EMC for triticale seed at different ERH values at three different constant temperatures (5°C, 23°C, and 35°C) using six desiccation jars containing different saturated salt concentrations. The secondary objective was to determine the best fit equation describing these relati

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