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        An Experimental Study on Modelling the Physical Properties of Composite Psyllium, Alginate and Chitosan Fibers Using Box-Behnken Technique

        Azeem Ullah,Sana Ullah,Tanzeel Areeb,Muhammad Umar,Phan Duy Nam,Rashid Masood,Soonjee Park,김익수 한국섬유공학회 2020 Fibers and polymers Vol.21 No.11

        Polysaccharides from different sources have found their applications in the wound care for their inherent abilitiesof gelling, biocompatibility, biodegradability, and antibacterial activity. Considering the low cost, ease of processing,abundance in nature and therapeutic benefits of the polysaccharides we developed psyllium, alginate and chitosan (PAC)composite fibers and modelled their physical properties namely; tenacity, linear density and absorption in both distilled waterand saline solution; using Box-Behnken (BB) technique of Response Surface Methodology (RSM). The PAC fibers wereproduced using an in house developed wet spinning module; briefly the dope solutions containing psyllium and alginate wereextruded into a hydrolyzed chitosan and CaCl2. The produced fibers were acetone washed to remove the polar solvent; in thiscase water; and later dried in air. The present work aimed at the development of statistical models for physical properties:linear density, tenacity, antibacterial efficacy and liquid absorption; of the composite PAC fibers. The factors underconsideration were the raw material concentration namely; alginate and psyllium in dope solution and calcium chloride(CaCl2) and hydrolysed chitosan in the coagulation bath. The experimental work was designed and analyzed using Minitab®17 statistical software. Regression models using the under consideration factors were successfully developed.

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        Diagnostic Performance of Three-Phase Bone Scan for Complex Regional Pain Syndrome Type 1 with Optimally Modified Image Criteria

        Kwon, Hyun-Woo,Paeng, Jin-Chul,Nahm, Francis Sahn-Gun,Kim, Seog-Gyun,Zehra, Tanzeel,Oh, So-Won,Lee, Hyo-Sang,Kang, Keon-Wook,Chung, June-Key,Lee, Myung-Chul,Lee, Dong-Soo The Korea Society of Nuclear Medicine 2011 핵의학 분자영상 Vol.45 No.4

        Purpose Although the three-phase bone scan (TBPS) is one of the widely used imaging studies for diagnosing complex regional pain syndrome type I (CRPS-1), there is some controversy regarding the TPBS image criteria for CRPS-1. In this study, we modified the image criteria using image pattern and quantitative analysis in the patients diagnosed using the most recent consensus clinical diagnostic criteria. Materials and Methods The study included 140 patients with suspected CRPS-1 (CRPS-1, n=79; non-CRPS, n=61; mean age $39{\pm}15$ years) who underwent TPBS. The clinical diagnostic criteria for CRPS-1 revised by the Budapest consensus group were used for confirmative diagnosis. Patients were classified according to flow/pool and delayed uptake (DU) image patterns, and the time interval between the initiating event and TPBS ($TI_{event-scan}$). Quantitative analysis for lesion-to-contralateral ratio (LCR) was performed. Modified TPBS image criteria were created and evaluated for optimal diagnostic performance. Results Both increased and decreased periarticular DU were significant image findings for CRPS-1 (CRPS-1 positive-rate=73% in the increased DU group, 75% in the decreased DU group). The $TI_{event-scan}$ did not differ significantly between the different image pattern groups. Quantitative analysis revealed an LCR of 1.43 was the optimal cutoff value for CRPS-1 and diagnostic performance was significantly improved in the increased DU group (area under the curve=0.732). Given the modified image criteria, the sensitivity and specificity of TPBS for diagnosing CRPS-1 were 80% and 72%, respectively. Conclusions Optimally modified TPBS image criteria for CRPS-1 were suggested using image pattern and quantitative analysis. With the criteria, TPBS is an effective imaging study for CRPS-1 even with the most recent consensus clinical diagnostic criteria.

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