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One of the major roles in promoting accounting convergence is played by big accounting firms (Big 4). The objective of this paper is in this context to analyze and question the role of big auditing firms in developing and implementing... more
In this article, we propose novel techniques to predict a user’s movie genre preference and rating behavior from her psycholinguistic attributes obtained from the social media interactions. The motivation of this work comes from various... more
Toponimi atau nama-nama geografis atau di Indonesia dikenal pula dengan nama-nama rupabumi merupakan salah satu unsur dalam peta dasar sesuai yang tertuang dalam Pasal 12 huruf d Undang-undang No.4 Tahun 2011 mengenai Informasi Geospasial... more
Mata Pelajaran : Bahasa Inggris Kelas/Semester : X/1 Alokasi Waktu : 94 x 45 menit Standar Kompetensi Berkomunikasi dengan Bahasa Inggris setara Level Novice Kompetensi Dasar Memahami ungkapan-ungkapan dasar pada interaksi sosial... more
- by Onyis Sinyo
- Quality, Age, Good, Indonesian
Traditional software controlled data cache prefetching is often ineffective due to the lack of runtime cache miss and miss address information. To overcome this limitation, we implement runtime data cache prefetching in the dynamic... more
The main aim of this study was to test hypothetical associations between personality dimensions and empathy scores in medical students. The Portuguese version of NEO-FFI was administered in order to characterize participants in terms of... more
This study reports the first behavioral genetic investigation of the three Dark Triad variables (narcissism, Machiavellianism, and psychopathy) and their relationships with the Big 5 personality traits. A total of 278 adult twins... more
Despite decades of gender-balanced recruitment and clear-cut criteria for promotion based on meritocracy, women in public accounting firms remain proportionally fewer in number in the highest levels of the hierarchy than men. This paper... more
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Ever increasing data quantity makes ever more urgent the need for highly scalable learners that have good classification performance. Therefore, an out-of-core learner with excellent time and space complexity, along with high expressivity... more
In this article, we propose novel techniques to predict a user’s movie genre preference and rating behavior from her psycholinguistic attributes obtained from the social media interactions. The motivation of this work comes from various... more
Many opportunities exist to improve micro-architectural performance due to performance events that are difficult to optimize at static compile time. Cache misses and branch mis-prediction patterns may vary for different... more
Smaller input data sets such as the test and the train input sets are commonly used in simulation to estimate the impact of architecture/micro-architecture features on the performance of SPEC benchmarks. They are also used for profile... more
Many opportunities exist to improve micro-architectural performance due to performance events that are difficult to optimize at static compile time. Cache misses and branch mis-prediction patterns may vary for different... more
Border closure has been a standard strategy throughout the world since the outbreak of the COVID-19 pandemic. The circulation of people was restricted or forbidden not only across terrestrial boundaries, but also at passenger terminals at... more
Increasing college participation rates, and diversity in student population, is posing a challenge to colleges in their attempts to facilitate learners achieve their full academic potential. Learning analytics is an evolving discipline... more
Traditional software controlled data cache prefetching is often ineffective due to the lack of runtime cache miss and miss address information. To overcome this limitation, we implement runtime data cache prefetching in the dynamic... more