Fu Jen Catholic University

About: Fu Jen Catholic University is a education organization based out in Taipei, Taiwan. It is known for research contribution in the topics: Population & Hazard ratio. The organization has 6842 authors who have published 9512 publications receiving 171005 citations. The organization is also known as: FJU & Fu Jen.

Magnetic and optical properties of Fe/sub 3/O/sub 4/ nanoparticle ferrofluids prepared by coprecipitation technique

Abstract: Nanometer size Fe/sub 3/O/sub 4/ particles were fabricated by chemical coprecipitation technique. The particle shape and size are affected by the PH value of the reactive solutions. The ferrofluids were fabricated with the Fe/sub 3/O/sub 4/ particles as magnetic particles, ammonium oleate as surfactant, and de-ionized water as solvent. Optical transmission of Fe/sub 3/O/sub 4/ nanoparticle ferrofluids was investigated as a function of incident optical wavelengths between 450 and 750 nm and applied magnetic fields up to 150 Oe. In general, for samples with lower PH value, the particles are small and agglomerate together, however, for samples with higher PH value, the particles are larger and distributed uniformly. Samples precipitated with higher PH value show larger variation of the transmittance (/spl Delta/T). This can be understood by our transmission electron microscope and X-ray diffraction pattern studies. The behavior of agglomeration for samples with lower PH value relates to the smaller variation of the optical transmission to the magnetic field.

Psychometric properties and gender invariance of the Chinese version of the self-report pediatric quality of life inventory version 4.0: short form is acceptable

Abstract: Purpose To evaluate the psychometric properties and gender invariance of the Chinese version of the Pediatric Quality of Life Inventory (PedsQL) for 8- to 12-year-olds.

Applying HFMEA to Prevent Chemotherapy Errors

Abstract: To evaluate risk and vulnerability in the chemotherapy process using a proactive risk analysis method. Healthcare failure mode and effect analysis (HFMEA) was adopted to identify potential chemotherapy process failures. A multidisciplinary team is formed to identify, evaluate, and prioritize potential failure modes based on a chemotherapy process flowchart. Subsequently, a decision tree is used to locate potential failure modes requiring urgent improvement. Finally, some recommended actions are generated and executed to eliminate possible risks. A total of 11 failure modes were identified with high hazard scores in both inpatient and outpatient processes. Computerized physician order entry was adopted to eliminate potential risks in chemotherapy processes. Chemotherapy prescription errors significantly decreased from 3.34% to 0.40%. Chemotherapy is regarded as a high-risk process. Multiple errors can occur during ordering, preparing, compounding, dispensing, and administering medications. Subsequently, these can lead to serious consequences. HFMEA is a useful tool to evaluate potential risk in healthcare processes.

A Secure Cloud-Assisted Wireless Body Area Network in Mobile Emergency Medical Care System

Abstract: Recent advances in medical treatment and emergency applications, the need of integrating wireless body area network (WBAN) with cloud computing can be motivated by providing useful and real time information about patients' health state to the doctors and emergency staffs. WBAN is a set of body sensors carried by the patient to collect and transmit numerous health items to medical clouds via wireless and public communication channels. Therefore, a cloud-assisted WBAN facilitates response in case of emergency which can save patients' lives. Since the patient's data is sensitive and private, it is important to provide strong security and protection on the patient's medical data over public and insecure communication channels. In this paper, we address the challenge of participant authentication in mobile emergency medical care systems for patients supervision and propose a secure cloud-assisted architecture for accessing and monitoring health items collected by WBAN. For ensuring a high level of security and providing a mutual authentication property, chaotic maps based authentication and key agreement mechanisms are designed according to the concept of Diffie-Hellman key exchange, which depends on the CMBDLP and CMBDHP problems. Security and performance analyses show how the proposed system guaranteed the patient privacy and the system confidentiality of sensitive medical data while preserving the low computation property in medical treatment and remote medical monitoring.