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수학 예비교사의 신념을 이해하는 것은 효과적인 교사교육 프로그램을 시행하고 설계하기 위하여 필수적이다. 본 연구에서는 초등 예비교사의 수학적 신념에 대해 분석하였다. 연구결과는 다음과 같다. 첫째, 수학문제해결에 대한 신념인 끈기 요인, 수학학습에 대한 신념인 교사주도 요인, 활동참여 요인, 자아개념에 대한 신념인 흥미 요인은 다른 수학적 신념요인들과 관련성이 많았다. 둘째, 수학교과에 대한 신념인 고정관념 요인이 교사주도 요인에 영향을 주고 있고, 수학문제해결에 대한 신념인 과정 요인이 활동참여 요인에 영향을 주고 있었다. 셋째, 학년별 수학적 신념 비교에서는 수학교과에 대한 신념인 고정관념, 유용성 요인과 자아개념에 대한 신념인 유익성 요인만이 통계적으로 유의미한 차이가 있었다. 넷째, 전공별 수학적 신념비교에서는 자아개념에 대한 신념인 유익성 요인과 자신감 요인을 제외한 나머지 수학적 신념에서 모두 유의미한 차이가 있었다. 본 연구결과를 토대로 초등 예비교사가 지녀야 할 수학적 신념이 무엇인지를 정립하고, 예비교사교육과정, 교수 학습 방법등 다양한 방안을 마련해야 할 것이다.

Computation RFID (CRFID) expands the limit of traditional RFID by granting computational capability to RFID tags. RFID tags are powered by Radio-Frequency (RF) energy harvesting. However, CRFID tags need extra energy and processing time than traditional RFID tags to sense the environment and generate sensing data. Therefore, Dynamic Framed Slotted ALOHA (DFSA) protocol for traditional RFID is no longer a best solution for CRFID systems. In this paper, we propose a table-based CRFID tag identification protocol considering CRFID operation. An RFID reader sends the message with the frame index. Using the frame index, CRFID tags calculate the energy requirement and processing time information to the reader along with data transmission. The RFID reader records the received information of tags into a table. After table recording is completed, the optimal frame size and proper time interval is provided based on the table. The proposed CRFID tag identification protocol is shown to enhance the identification rate and the delay via simulations.

Despite the revolutionary advancements in DNA sequencing technology and cultivation techniques, few studies have been done to directly compare these methods. In this study, a 16S rRNA gene-based, integrative approach combining culture-independent techniques with culture-dependent methods was taken to investigate the bacterial community structure of coastal seawater collected from the Yellow Sea, Korea. For culture-independent studies, we used the latest model pyrosequencer, Roche/454 Genome Sequencer FLX Titanium. Pyrosequencing captured a total of 52 phyla including 27 candidate divisions from the water column, whereas the traditional cloning approach captured only 15 phyla including 2 candidate divisions. In addition, of 878 genera retrieved, 92.1% of the sequences were unique to pyrosequencing. For culture-dependent analysis, plate culturing, plate washing, enrichment, and high-throughput culturing (HTC) methods were applied. Phylogenetic analysis showed that the plate-washing clones formed a cluster devoid of any previously cultured representatives within the family Rhodobacteraceae. One HTC isolate (SF293) fell into the OM182 clade, which was not recovered by other culturing methods described here. By directly comparing the sequences obtained from cultures with those from culture-independent work, we found that only 33% of the culture sequences were identical to those from clone libraries and pyrosequences. This study presents a detailed comparison of common molecular and cultivation techniques available in microbial ecology. As different methods yielded different coverage, we suggest choosing the approach after carefully examining the scientific questions being asked.