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A Review of Biosensors; Definition, Classification, Properties, and Applications

     Biosensor is defined as a device that transforms the interactions between bioreceptors and analytes into a logical signal proportional to the reactants' concentration. Biosensors have different applications that aim primarily to detect diseases, medicines, food safety, the proportion of toxins in water, and other applications that ensure the safety and health of the organism. The main challenge of biosensors is represented in the difficulty of obtaining sensors with accuracy, specific sensitivity, and repeatability for each use of the patient so that they give reliable results. The rapid diversification in biosensors is due to the accuracy of the techniques and materials used in the manufacturing process and the interrelationships in scientific research between various disciplines, i.e., physics and biology, engineering and biology. This research aims to define biosensors in general, classify them and show their most important applications, with a brief description of their time development and the reason for their speared in all fields.

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Publication Date
Sun Feb 18 2024
Journal Name
Migration Letters
Knee Injuries And Rehabilitation: A Comprehensive Review Of The Psychological Landscape

MT Suhail, SA Hussein, MN Abdulhussein, WQ Abdaullateef, M khairallah Aid…, Migration Letters, 2024

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Publication Date
Sat Jul 01 2023
Journal Name
Analytical Science & Technology
A Review: Synthesis and characterization of metals complexes with paracetamol drug

In this review, previous studies on the synthesis and characterization of the metal Complexes with paracetamol by elemental analysis, thermal analysis, (IR, NMR and UV-Vis (spectroscopy and conductivity. In reviewing these studies, the authors found that paracetamol can be coordinated through the pair of electrons on the hydroxyl O-atom, carbonyl O-atom, and N-atom of the amide group. If the paracetamol was a monodentate ligand, it will be coordinated by one of the following atoms O-hydroxyl, O-carbonyl or N-amide. But if the paracetamol was bidentate, it is coordinated by atoms (O-carbonyl and N-amide), (O-hydroxyl and N-amide) or (O-carbonyl and O-hydroxyl). The authors also found that free paracetamol and its complexes have antimicrobial

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Publication Date
Tue Jan 01 2019
Journal Name
Plant Archives
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Publication Date
Sun Jul 31 2022
Journal Name
Iraqi Journal Of Science
A Review of Data Mining and Knowledge Discovery Approaches for Bioinformatics

     This review explores the Knowledge Discovery Database (KDD) approach, which supports the bioinformatics domain to progress efficiently, and illustrate their relationship with data mining. Thus, it is important to extract advantages of Data Mining (DM) strategy management such as effectively stressing its role in cost control, which is the principle of competitive intelligence, and the role of it in information management. As well as, its ability to discover hidden knowledge. However, there are many challenges such as inaccurate, hand-written data, and analyzing a large amount of variant information for extracting useful knowledge by using DM strategies. These strategies are successfully applied in several applications as data wa

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Publication Date
Thu Dec 05 2013
Journal Name
Robotica
Modeling, stability and walking pattern generators of biped robots: a review
SUMMARY<p>Biped robots have gained much attention for decades. A variety of researches have been conducted to make them able to assist or even substitute for humans in performing special tasks. In addition, studying biped robots is important in order to understand human locomotion and to develop and improve control strategies for prosthetic and orthotic limbs. This paper discusses the main challenges encountered in the design of biped robots, such as modeling, stability and their walking patterns. The subject is difficult to deal with because the biped mechanism intervenes with mechanics, control, electronics and artificial intelligence. In this paper, we collect and introduce a systematic discussion of modelin</p> ... Show More
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Publication Date
Sat Oct 01 2022
Journal Name
Alexandria Engineering Journal
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Publication Date
Sun Jul 24 2022
Journal Name
Journal Of The Faculty Of Medicine Baghdad
A Pregnant female with renal mass : A case report study and review of literature .

Abstract

Back ground: Renal cell carcinoma is an uncommon condition that develops during pregnancy. Due to a lack of conventional norms and a dearth of literature, its management is a serious issue.

Case presentation: We will discuss a case study of a twenty-year-old female girl who is pregnant G1 P1 A0, has had five missing periods (20 weeks gestation), and has frank hematuria due to a massive, incidentally detected renal cell carcinoma. We also go through the current guidelines for treating kidney malignancies during pregnancy, as well as the imaging studies that are now available.

Conclusion: Although the best time for surgery is debatable, a mult

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Publication Date
Tue Nov 19 2024
Journal Name
Journal Of Engineering
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Publication Date
Mon Jun 05 2023
Journal Name
Journal Of Engineering
Construction of a General-Purpose Infrastructure for Rfid – Based Applications

The aim of advancements in technologies is to increase scientific development and get the overall human satisfaction and comfortability. One of the active research area in recent years that addresses the above mentioned issues, is the integration of radio frequency identification (RFID) technology into network-based systems. Even though, RFID is considered as a promising technology, it has some bleeding points. This paper identifies seven intertwined deficiencies, namely: remote setting, scalability, power saving, remote and concurrent tracking, reusability, automation, and continuity in work. This paper proposes the construction of a general purpose infrastructure for RFID-based applications (IRFID) to tackle these deficiencies. Finally

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Publication Date
Fri Sep 23 2022
Journal Name
Specialusis Ugdymas
Intrusion Detection System Techniques A Review

With the high usage of computers and networks in the current time, the amount of security threats is increased. The study of intrusion detection systems (IDS) has received much attention throughout the computer science field. The main objective of this study is to examine the existing literature on various approaches for Intrusion Detection. This paper presents an overview of different intrusion detection systems and a detailed analysis of multiple techniques for these systems, including their advantages and disadvantages. These techniques include artificial neural networks, bio-inspired computing, evolutionary techniques, machine learning, and pattern recognition.