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bijps-1224
A review on Active Constituents and Pharmacological Effects of Eriobotrya Japonica Lindl. (Loquat)
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Eriobotrya japonica Lindl., named as loquat, is a subtropical fruit tree of the family Rosaceae which is well known medical plant originated in  Japan and China. Loquat portions, like leaves, peels and fruits have been shown to possess various health usefulnesses.  In Chinese classical medicine, it is vastly utilized in many illnesses, like gastroenteric disorders, diabetes mellitus, pulmonary inflammatory diseases and chronic bronchitis. Loquat plant contain many active constituents, such as flavonoids, carotenoids, vitamins, polyphenolic compounds, other that have many biological effects like anti-tumor, anti-diabetic, anti-inflammatory, anti-mutagenic, antioxidant, antiviral, antitussive, hepatoprotective and hypolipidemic activity.

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Publication Date
Thu Jun 20 2019
Journal Name
Baghdad Science Journal
The Influence of Rewards on Games Flow, Challenge, and Its Effects Towards the Engagement of Malaysian Digital Traditional Games
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Games engagement has become one of the main concerns in game industry. Early study revealed that Malaysian digital traditional games are suffering with the same issue due to several factors. One of it is the lack of the game itself. Although many Malaysian traditional games have been digitized, none of them has incorporated rewards despite its importance in games engagement. Realizing the importance of rewards in games engagement, one of Malaysian traditional Congkak has been chosen to be enhanced by incorporating rewards. Experiments have been conducted among 50 gamers among the Millennials. Prior interview, game demo and human test are conducted. Experiments focused on the influence of rewards on games flow, games challenge, and its ef

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Publication Date
Sun Oct 01 2017
Journal Name
Journal Of Alloys And Compounds
Probing the effects of thermal treatment on the electronic structure and mechanical properties of Ti-doped ITO thin films
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Publication Date
Sat Nov 15 2025
Journal Name
Baghdad Science Journal
Mechanism of Immunotherapeutic and Anticancer Effects of Moringa peregrina Seed Extract on Non-Small-Lung Cancer, NCIH460, Cell Line
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Publication Date
Sun Jan 01 2023
Journal Name
International Journal Of Economics And Finance Studies
THE EFFECTS OF NEGATIVE AUDIT AND AUDIT ENVIRONMENT ON THE INTERNAL AUDITOR PERFORMANCE: MEDIATING ROLE OF AUDITING PROCESS INDEPENDENCE
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Publication Date
Mon Feb 04 2019
Journal Name
Journal Of The College Of Education For Women
Divorce Effects
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The consequences of divorce after separation have several legal and legal provisions among them is that the wife must wait for a certain period specified by the legislator before marrying another, whether her husband left her after the practice of interning or died until the expiration of the period of counting and compensation for arbitrary divorce and the right of the unmarried to live in the marital home and complete her dowry is gold. But it cannot block the object of material and moral damage, especially if it was fired without shortening them and therefore these rights were decided by the provisions of the absolute and remove the effects on its reputation

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Publication Date
Wed Oct 12 2022
Journal Name
College Of Islamic Sciences
moderation effects
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It was in the statement of the impact of moderation in preserving the freedom of individuals, including freedom of personal opinions, freedom of belief and freedom of language. It was dedicated to explaining the negative impact on the future of the nation in opposing moderation, including: dispersal of society, weakening the capabilities of society, and ease of control and occupation

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Publication Date
Sun Mar 30 2025
Journal Name
Mustansiriyah Journal Of Pure And Applied Sciences
Secure E-voting authentication system employing biometric technology, Crypto-Watermarking Approach and blockchain technology: A Review
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Moderately, advanced national election technologies have improved political systems. As electronic voting (e-voting) systems advance, security threats like impersonation, ballot tampering, and result manipulation increase. These challenges are addressed through a review covering biometric authentication, watermarking, and blockchain technologies, each of which plays a crucial role in improving the security of e-voting systems. More precisely, the biometric authentication is being examined due to its ability in identify the voters and reducing the risks of impersonation. The study also explores the blockchain technology to decentralize the elections, enhance the transparency and ensure the prevention of any unauthorized alteration or

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Publication Date
Tue Oct 01 2024
Journal Name
Journal Of Engineering
A Comprehensive Review for Integrating Petrophysical Properties, Rock Typing, and Geological Modeling for Enhanced Reservoir Characterization
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Reservoir characterization is an important component of hydrocarbon exploration and production, which requires the integration of different disciplines for accurate subsurface modeling. This comprehensive research paper delves into the complex interplay of rock materials, rock formation techniques, and geological modeling techniques for improving reservoir quality. The research plays an important role dominated by petrophysical factors such as porosity, shale volume, water content, and permeability—as important indicators of reservoir properties, fluid behavior, and hydrocarbon potential. It examines various rock cataloging techniques, focusing on rock aggregation techniques and self-organizing maps (SOMs) to identify specific and

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Publication Date
Fri Feb 06 2026
Journal Name
Aip Conference Proceedings
Life cycle cost analysis and life cycle assessment program in pavement maintenance management: A critical review
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Publication Date
Sat Jan 01 2022
Journal Name
Ieee Access
Wrapper and Hybrid Feature Selection Methods Using Metaheuristic Algorithms for English Text Classification: A Systematic Review
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Feature selection (FS) constitutes a series of processes used to decide which relevant features/attributes to include and which irrelevant features to exclude for predictive modeling. It is a crucial task that aids machine learning classifiers in reducing error rates, computation time, overfitting, and improving classification accuracy. It has demonstrated its efficacy in myriads of domains, ranging from its use for text classification (TC), text mining, and image recognition. While there are many traditional FS methods, recent research efforts have been devoted to applying metaheuristic algorithms as FS techniques for the TC task. However, there are few literature reviews concerning TC. Therefore, a comprehensive overview was systematicall

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