The replacement of animal use in testing for regulatory classification of skin sensitizers is a priority for US federal agencies that use data from such testing. Machine learning models that classify substances as sensitizers or non-sensitizers without using animal data have been developed and evaluated. Because some regulatory agencies require that sensitizers be further classified into potenc...

QIAN, LV. Economic Models for Tiered Network Services. (Under the direction of Dr. George N. Rouskas). Tiered network services have been prevalent in current networking industry. The term tiered service means that the network operator only provides a small set of tiers (levels) which offer progressively higher levels of service to the customers each of whom will be mapped to one of the given ti...

This study investigates and compares the efficacy of differentiated instruction and traditional-based instruction on enhancing Iranian students’ reading comprehension. Eight elementary, intermediate, and advanced classrooms from 1 language institute were chosen, and based on their performance on the pretests were further divided into 4 control and 4 treatment groups. Flexible grouping, tiered i...

This paper presents the requirements analysis for integrated information system models to support corporate planning and control tasks. Corporate planning is a heterogeneous, dynamic, and distributed domain comprising of strategy analysis, process reengineering, and change management. Implementation of such a model will require a multi-tiered approach with a rich and flexible model-based framew...

Remanufacturing is one of the most effective forms recycling economy, and “Trade-in for Remanufacturing” (TIFR) program in China plays an important role development remanufacturing. To understand this new business model remanufacturing, price demand relationship NP RP are examined two periods, considering TIFR subsidy which practice China. Comparing integrated optimization scheme tiered scheme,...

Storage and analysis of time-series data is a subject of intense interest in the current international database research field. Time series data, a sequence of collected data information points by fixing time interval, is an important basis to proceed business analysis and prediction in the future. As an excellent NoSQL database, Cassandra is often used to storage time-series data because of it...