Potentiality of Miscanthus for biofuel production

Bioenergy from plant biomass could make a substantial contribution to the alleviation of global problems in climate change and energy security. Bio-ethanol comes from three categories of feedstock: sugar based, starch based and cellulosic sources. Cellulosic feedstock must be exploited for second generation of conversion to biofuel. Perennial grasses such as switchgrass (Panicum virgatum L.) have a low demand for nutrient inputs and show higher yields on relatively poor quality land sites and longer persistency and have a merit of increase in soil carbon content as well as the effect on stability and cover value for wildlife. Miscanthus spp. is also expected one of potential biofuel crops. Miscanthus spp. is native to eastern or south-eastern Asia. Giant Miscanthus (M. x giganteus) derived from a natural hybrid between susuki (M. sinensis) and ogi (M. sacchariflorus) has been reported for high biomass with 30 – 40 t (DM) year-1 ha-1. Researches on nutrient cycling, cold hardiness, photosynthetic capacity, and flowering phenology of Miscanthus spp. in native stands of Japan are being carried out with the collaboration of University of Illinois. The advantage of Miscanthus spp. will be discussed in a term of sustainable biofuel production.Title VI National Resource Center Grant (P015A060066)unpublishednot peer reviewe

The Ds(2317) and Ds(2463) Mesons as Scalar and Axial-Vector Chiralons in the Covariant Level-Classification Scheme

The new narrow mesons observed recently in the final states Ds+ pi0 and Ds*+ pi0 are pointed out to be naturally assigned as the ground-state scalar and axial-vector chiralons in the c sbar system, which would newly appear in the covariant hadron-classification scheme proposed a few years ago.Comment: 8 pages, 1 figure, uses ptptex.st

Psychometric properties of the J apanese version of the S ocial P hobia I nventory

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/97457/1/pcn12037.pd

Using the mood disorder questionnaire and bipolar spectrum diagnostic scale to detect bipolar disorder and borderline personality disorder among eating disorder patients

BACKGROUND: Screening scales for bipolar disorder including the Mood Disorder Questionnaire (MDQ) and Bipolar Spectrum Diagnostic Scale (BSDS) have been plagued by high false positive rates confounded by presence of borderline personality disorder. This study examined the accuracy of these scales for detecting bipolar disorder among patients referred for eating disorders and explored the possibility of simultaneous assessment of co-morbid borderline personality disorder. METHODS: Participants were 78 consecutive female patients who were referred for evaluation of an eating disorder. All participants completed the mood and eating disorder sections of the SCID-I/P and the borderline personality disorder section of the SCID-II, in addition to the MDQ and BSDS. Predictive validity of the MDQ and BSDS was evaluated by Receiver Operating Characteristic analysis of the Area Under the Curve (AUC). RESULTS: Fifteen (19%) and twelve (15%) patients fulfilled criteria for bipolar II disorder and borderline personality disorder, respectively. The AUCs for bipolar II disorder were 0.78 (MDQ) and 0.78 (BDSD), and the AUCs for borderline personality disorder were 0.75 (MDQ) and 0.79 (BSDS). CONCLUSIONS: Among patients being evaluated for eating disorders, the MDQ and BSDS show promise as screening questionnaires for both bipolar disorder and borderline personality disorder

Using the mood disorder questionnaire and bipolar spectrum diagnostic scale to detect bipolar disorder and borderline personality disorder among eating disorder patients

Abstract Background Screening scales for bipolar disorder including the Mood Disorder Questionnaire (MDQ) and Bipolar Spectrum Diagnostic Scale (BSDS) have been plagued by high false positive rates confounded by presence of borderline personality disorder. This study examined the accuracy of these scales for detecting bipolar disorder among patients referred for eating disorders and explored the possibility of simultaneous assessment of co-morbid borderline personality disorder. Methods Participants were 78 consecutive female patients who were referred for evaluation of an eating disorder. All participants completed the mood and eating disorder sections of the SCID-I/P and the borderline personality disorder section of the SCID-II, in addition to the MDQ and BSDS. Predictive validity of the MDQ and BSDS was evaluated by Receiver Operating Characteristic analysis of the Area Under the Curve (AUC). Results Fifteen (19%) and twelve (15%) patients fulfilled criteria for bipolar II disorder and borderline personality disorder, respectively. The AUCs for bipolar II disorder were 0.78 (MDQ) and 0.78 (BDSD), and the AUCs for borderline personality disorder were 0.75 (MDQ) and 0.79 (BSDS). Conclusions Among patients being evaluated for eating disorders, the MDQ and BSDS show promise as screening questionnaires for both bipolar disorder and borderline personality disorder.http://deepblue.lib.umich.edu/bitstream/2027.42/112636/1/12888_2012_Article_1235.pd