Ali Ahmad

4 min read. PCB materials play a critical role in the foundation of modern technology, serving as the backbone for electronic devices across industries.

5 min read. Efficient meeting management is the cornerstone of productivity and effective communication within any organization.

In navigating the evolving landscape of the job market, aligning your resume with current AI trends not only enhances your employability but also fosters a proactive approach to career development. Rather than viewing AI as a competitor, savvy professionals are beginning to leverage its capabilities as a vital tool for showcasing their skills and adaptability. Utilizing AI-driven platforms and data insights can help applicants craft resumes that resonate with potential employers by highlighting relevant experiences, soft skills, and technological savviness.

In the rapidly evolving landscape of business, leveraging AI-driven video analytics offers an unprecedented opportunity for companies to make informed decisions that enhance operational efficiency and customer engagement. Businesses no longer rely solely on intuition or historical data; instead, they can harness real-time insights derived from video footage. This powerful technology enables organizations to track consumer behavior, optimize staffing, and refine marketing strategies with pinpoint accuracy.

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The authenticity of classical Arabic poetry has long been challenged by claims that some part of the pre-Islamic poetic heritage should not be attributed to this era. According to these assertions, some of this legacy was produced after the advent of Islam and ascribed, for different reasons, to pre-Islamic poets. As pre-Islamic poets were illiterate, medieval Arabic literature devotees relied on Bedouin oral transmission when writing down and collecting the poems about two centuries later. This process left the identity of the real poets who composed these poems and the period in which they worked unresolved. In this work, we seek to answer the questions of how and to what extent we can identify the period in which classical Arabic poetry was composed, where we exploit modern-day automatic text processing techniques for this aim. We consider a dataset of Arabic poetry collected from the diwans (‘collections of poems') of thirteen Arabic poets that corresponds to two main eras: the pre-ʿAbbāsid era (covering the period between the 6th and the 8th centuries CE) and the ʿAbbāsid era (starting in the year 750 CE). Some poems in each diwan are considered ‘original'; i.e., poems that are attributed to a certain poet with high confidence. The diwans also include, however, an additional section of poems that are attributed to a poet with reservations, meaning that these poems might have been composed by another poet and/or in another period. We trained a set of machine learning algorithms (classifiers) in order to explore the potential of machine learning techniques to automatically identify the period in which a poem had been written. In the training phase, we represent each poem using various types of features (characteristics) designed to capture lexical, topical, and stylistic aspects of this poetry. By training and assessing automatic models of period prediction using the 'original' poetry, we obtained highly encouraging results, measuring between 0.73–0.90 in terms of F1 for the various periods. Moreover, we observe that the stylistic features, which pertain to elements that characterize Arabic poetry, as well as the other feature types, are all indicative of the period in which the poem had been written. We applied the resulting prediction models to poems for which the authorship period is under dispute (‘attributed') and got interesting results, suggesting that some of the poems may belong to different eras—an issue to be further examined by Arabic poetry researchers. The resulting prediction models may be applied to poems for which the authorship period is under dispute. We demonstrate this research direction, presenting some interesting anecdotal results.

In the ever-evolving landscape of AI development, making informed tool choices becomes pivotal for unleashing creativity and efficiency. Understanding not just the capabilities of a tool but also its alignment with your specific project goals can transform the application development experience from mundane to extraordinary.

Abstract Background: An estimated 6.7 million persons are living with dementia in the United States, a number expected to double by 2060.

Indonesian Financial Review , Sep 2024 This research aims to evaluate the solvency and profitability ratios of PT Garuda Indonesia Tbk and

The current study assessed the effectiveness of an environmental approach-based learning method in developing primary science process skills and enhancing cognitive achievement among children. Utilizing validated instruments, this study involved 62 children who were divided into two groups: an experimental group of 32 children, who received instruction based on the environmental approach, and a control group of 30 children, who were taught using conventional methods. The results indicated that the experimental group achieved significantly higher scores on both the science process skills test and the achievement test compared to the control group. Statistical analyses confirmed these differences, demonstrating the superior performance of the experimental group. These findings provide robust evidence of the effectiveness of environmental approach-based learning in improving science process skills and cognitive achievement. It is recommended that early childhood science educators integrate environmental approach-based learning into their science education practices to enhance scientific understanding and engagement among young learners.