Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions
The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible result...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Li, Aijun [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2018transfer abstract |
|---|
| Schlagwörter: |
|---|
| Umfang: |
13 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion - Solanki, Nayan ELSEVIER, 2017, the international journal, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:152 ; year:2018 ; day:1 ; month:06 ; pages:549-561 ; extent:13 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.energy.2018.03.164 |
|---|
| Katalog-ID: |
ELV042964539 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV042964539 | ||
| 003 | DE-627 | ||
| 005 | 20230626002715.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 180726s2018 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.energy.2018.03.164 |2 doi | |
| 028 | 5 | 2 | |a /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001024.pica |
| 035 | |a (DE-627)ELV042964539 | ||
| 035 | |a (ELSEVIER)S0360-5442(18)30573-5 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 610 |q VZ |
| 084 | |a 15,3 |2 ssgn | ||
| 084 | |a PHARM |q DE-84 |2 fid | ||
| 084 | |a 44.40 |2 bkl | ||
| 100 | 1 | |a Li, Aijun |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions |
| 264 | 1 | |c 2018transfer abstract | |
| 300 | |a 13 | ||
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible results of efficiency changes originated from a time effect. (2) They can measure unified efficiency resulting from different benchmark frontiers (i.e. group and meta frontiers). (3) Through these decomposed indicators, this study can uncover and identify the major sources of unified efficiency changes. As an empirical application, the above indices are utilized for examining fossil fuel power plants in 30 provinces in China from 2004 to 2012, where all provinces are grouped into two groups. The main findings are summarized as follows. Firstly, MMUEI provide new valuable information relative to UEIs. The time paths of MMUEI form M-shaped curve for both coastal and inland regions. Secondly, different UEIs measure unified efficiency from different perspectives and thus have differentiated time paths. Finally, there are substantial provincial differences in terms of either MMUEI or UEIs, resulting from provincial variations. In the short run, the provinces with large potential should improve unified efficiency measures by “catching-up”. | ||
| 520 | |a The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible results of efficiency changes originated from a time effect. (2) They can measure unified efficiency resulting from different benchmark frontiers (i.e. group and meta frontiers). (3) Through these decomposed indicators, this study can uncover and identify the major sources of unified efficiency changes. As an empirical application, the above indices are utilized for examining fossil fuel power plants in 30 provinces in China from 2004 to 2012, where all provinces are grouped into two groups. The main findings are summarized as follows. Firstly, MMUEI provide new valuable information relative to UEIs. The time paths of MMUEI form M-shaped curve for both coastal and inland regions. Secondly, different UEIs measure unified efficiency from different perspectives and thus have differentiated time paths. Finally, there are substantial provincial differences in terms of either MMUEI or UEIs, resulting from provincial variations. In the short run, the provinces with large potential should improve unified efficiency measures by “catching-up”. | ||
| 650 | 7 | |a Environmental assessment |2 Elsevier | |
| 650 | 7 | |a Data envelopment analysis (DEA) |2 Elsevier | |
| 650 | 7 | |a Unified efficiency |2 Elsevier | |
| 650 | 7 | |a Group heterogeneity |2 Elsevier | |
| 650 | 7 | |a Meta-frontier non-radial directional distance functions |2 Elsevier | |
| 700 | 1 | |a Zhang, Aizhen |4 oth | |
| 700 | 1 | |a Huang, Huijie |4 oth | |
| 700 | 1 | |a Yao, Xin |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Solanki, Nayan ELSEVIER |t Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion |d 2017 |d the international journal |g Amsterdam [u.a.] |w (DE-627)ELV000529575 |
| 773 | 1 | 8 | |g volume:152 |g year:2018 |g day:1 |g month:06 |g pages:549-561 |g extent:13 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.energy.2018.03.164 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 912 | |a FID-PHARM | ||
| 912 | |a SSG-OLC-PHA | ||
| 912 | |a SSG-OPC-PHA | ||
| 936 | b | k | |a 44.40 |j Pharmazie |j Pharmazeutika |q VZ |
| 951 | |a AR | ||
| 952 | |d 152 |j 2018 |b 1 |c 0601 |h 549-561 |g 13 | ||
| author_variant |
a l al |
|---|---|
| matchkey_str |
liaijunzhangaizhenhuanghuijieyaoxin:2018----:esrnuiidfiinyfosluloepatarspoicsnhnaaayibsdnor |
| hierarchy_sort_str |
2018transfer abstract |
| bklnumber |
44.40 |
| publishDate |
2018 |
| allfields |
10.1016/j.energy.2018.03.164 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001024.pica (DE-627)ELV042964539 (ELSEVIER)S0360-5442(18)30573-5 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Li, Aijun verfasserin aut Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions 2018transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible results of efficiency changes originated from a time effect. (2) They can measure unified efficiency resulting from different benchmark frontiers (i.e. group and meta frontiers). (3) Through these decomposed indicators, this study can uncover and identify the major sources of unified efficiency changes. As an empirical application, the above indices are utilized for examining fossil fuel power plants in 30 provinces in China from 2004 to 2012, where all provinces are grouped into two groups. The main findings are summarized as follows. Firstly, MMUEI provide new valuable information relative to UEIs. The time paths of MMUEI form M-shaped curve for both coastal and inland regions. Secondly, different UEIs measure unified efficiency from different perspectives and thus have differentiated time paths. Finally, there are substantial provincial differences in terms of either MMUEI or UEIs, resulting from provincial variations. In the short run, the provinces with large potential should improve unified efficiency measures by “catching-up”. The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible results of efficiency changes originated from a time effect. (2) They can measure unified efficiency resulting from different benchmark frontiers (i.e. group and meta frontiers). (3) Through these decomposed indicators, this study can uncover and identify the major sources of unified efficiency changes. As an empirical application, the above indices are utilized for examining fossil fuel power plants in 30 provinces in China from 2004 to 2012, where all provinces are grouped into two groups. The main findings are summarized as follows. Firstly, MMUEI provide new valuable information relative to UEIs. The time paths of MMUEI form M-shaped curve for both coastal and inland regions. Secondly, different UEIs measure unified efficiency from different perspectives and thus have differentiated time paths. Finally, there are substantial provincial differences in terms of either MMUEI or UEIs, resulting from provincial variations. In the short run, the provinces with large potential should improve unified efficiency measures by “catching-up”. Environmental assessment Elsevier Data envelopment analysis (DEA) Elsevier Unified efficiency Elsevier Group heterogeneity Elsevier Meta-frontier non-radial directional distance functions Elsevier Zhang, Aizhen oth Huang, Huijie oth Yao, Xin oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:152 year:2018 day:1 month:06 pages:549-561 extent:13 https://doi.org/10.1016/j.energy.2018.03.164 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 152 2018 1 0601 549-561 13 |
| spelling |
10.1016/j.energy.2018.03.164 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001024.pica (DE-627)ELV042964539 (ELSEVIER)S0360-5442(18)30573-5 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Li, Aijun verfasserin aut Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions 2018transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible results of efficiency changes originated from a time effect. (2) They can measure unified efficiency resulting from different benchmark frontiers (i.e. group and meta frontiers). (3) Through these decomposed indicators, this study can uncover and identify the major sources of unified efficiency changes. As an empirical application, the above indices are utilized for examining fossil fuel power plants in 30 provinces in China from 2004 to 2012, where all provinces are grouped into two groups. The main findings are summarized as follows. Firstly, MMUEI provide new valuable information relative to UEIs. The time paths of MMUEI form M-shaped curve for both coastal and inland regions. Secondly, different UEIs measure unified efficiency from different perspectives and thus have differentiated time paths. Finally, there are substantial provincial differences in terms of either MMUEI or UEIs, resulting from provincial variations. In the short run, the provinces with large potential should improve unified efficiency measures by “catching-up”. The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible results of efficiency changes originated from a time effect. (2) They can measure unified efficiency resulting from different benchmark frontiers (i.e. group and meta frontiers). (3) Through these decomposed indicators, this study can uncover and identify the major sources of unified efficiency changes. As an empirical application, the above indices are utilized for examining fossil fuel power plants in 30 provinces in China from 2004 to 2012, where all provinces are grouped into two groups. The main findings are summarized as follows. Firstly, MMUEI provide new valuable information relative to UEIs. The time paths of MMUEI form M-shaped curve for both coastal and inland regions. Secondly, different UEIs measure unified efficiency from different perspectives and thus have differentiated time paths. Finally, there are substantial provincial differences in terms of either MMUEI or UEIs, resulting from provincial variations. In the short run, the provinces with large potential should improve unified efficiency measures by “catching-up”. Environmental assessment Elsevier Data envelopment analysis (DEA) Elsevier Unified efficiency Elsevier Group heterogeneity Elsevier Meta-frontier non-radial directional distance functions Elsevier Zhang, Aizhen oth Huang, Huijie oth Yao, Xin oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:152 year:2018 day:1 month:06 pages:549-561 extent:13 https://doi.org/10.1016/j.energy.2018.03.164 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 152 2018 1 0601 549-561 13 |
| allfields_unstemmed |
10.1016/j.energy.2018.03.164 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001024.pica (DE-627)ELV042964539 (ELSEVIER)S0360-5442(18)30573-5 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Li, Aijun verfasserin aut Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions 2018transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible results of efficiency changes originated from a time effect. (2) They can measure unified efficiency resulting from different benchmark frontiers (i.e. group and meta frontiers). (3) Through these decomposed indicators, this study can uncover and identify the major sources of unified efficiency changes. As an empirical application, the above indices are utilized for examining fossil fuel power plants in 30 provinces in China from 2004 to 2012, where all provinces are grouped into two groups. The main findings are summarized as follows. Firstly, MMUEI provide new valuable information relative to UEIs. The time paths of MMUEI form M-shaped curve for both coastal and inland regions. Secondly, different UEIs measure unified efficiency from different perspectives and thus have differentiated time paths. Finally, there are substantial provincial differences in terms of either MMUEI or UEIs, resulting from provincial variations. In the short run, the provinces with large potential should improve unified efficiency measures by “catching-up”. The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible results of efficiency changes originated from a time effect. (2) They can measure unified efficiency resulting from different benchmark frontiers (i.e. group and meta frontiers). (3) Through these decomposed indicators, this study can uncover and identify the major sources of unified efficiency changes. As an empirical application, the above indices are utilized for examining fossil fuel power plants in 30 provinces in China from 2004 to 2012, where all provinces are grouped into two groups. The main findings are summarized as follows. Firstly, MMUEI provide new valuable information relative to UEIs. The time paths of MMUEI form M-shaped curve for both coastal and inland regions. Secondly, different UEIs measure unified efficiency from different perspectives and thus have differentiated time paths. Finally, there are substantial provincial differences in terms of either MMUEI or UEIs, resulting from provincial variations. In the short run, the provinces with large potential should improve unified efficiency measures by “catching-up”. Environmental assessment Elsevier Data envelopment analysis (DEA) Elsevier Unified efficiency Elsevier Group heterogeneity Elsevier Meta-frontier non-radial directional distance functions Elsevier Zhang, Aizhen oth Huang, Huijie oth Yao, Xin oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:152 year:2018 day:1 month:06 pages:549-561 extent:13 https://doi.org/10.1016/j.energy.2018.03.164 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 152 2018 1 0601 549-561 13 |
| allfieldsGer |
10.1016/j.energy.2018.03.164 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001024.pica (DE-627)ELV042964539 (ELSEVIER)S0360-5442(18)30573-5 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Li, Aijun verfasserin aut Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions 2018transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible results of efficiency changes originated from a time effect. (2) They can measure unified efficiency resulting from different benchmark frontiers (i.e. group and meta frontiers). (3) Through these decomposed indicators, this study can uncover and identify the major sources of unified efficiency changes. As an empirical application, the above indices are utilized for examining fossil fuel power plants in 30 provinces in China from 2004 to 2012, where all provinces are grouped into two groups. The main findings are summarized as follows. Firstly, MMUEI provide new valuable information relative to UEIs. The time paths of MMUEI form M-shaped curve for both coastal and inland regions. Secondly, different UEIs measure unified efficiency from different perspectives and thus have differentiated time paths. Finally, there are substantial provincial differences in terms of either MMUEI or UEIs, resulting from provincial variations. In the short run, the provinces with large potential should improve unified efficiency measures by “catching-up”. The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible results of efficiency changes originated from a time effect. (2) They can measure unified efficiency resulting from different benchmark frontiers (i.e. group and meta frontiers). (3) Through these decomposed indicators, this study can uncover and identify the major sources of unified efficiency changes. As an empirical application, the above indices are utilized for examining fossil fuel power plants in 30 provinces in China from 2004 to 2012, where all provinces are grouped into two groups. The main findings are summarized as follows. Firstly, MMUEI provide new valuable information relative to UEIs. The time paths of MMUEI form M-shaped curve for both coastal and inland regions. Secondly, different UEIs measure unified efficiency from different perspectives and thus have differentiated time paths. Finally, there are substantial provincial differences in terms of either MMUEI or UEIs, resulting from provincial variations. In the short run, the provinces with large potential should improve unified efficiency measures by “catching-up”. Environmental assessment Elsevier Data envelopment analysis (DEA) Elsevier Unified efficiency Elsevier Group heterogeneity Elsevier Meta-frontier non-radial directional distance functions Elsevier Zhang, Aizhen oth Huang, Huijie oth Yao, Xin oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:152 year:2018 day:1 month:06 pages:549-561 extent:13 https://doi.org/10.1016/j.energy.2018.03.164 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 152 2018 1 0601 549-561 13 |
| allfieldsSound |
10.1016/j.energy.2018.03.164 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001024.pica (DE-627)ELV042964539 (ELSEVIER)S0360-5442(18)30573-5 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Li, Aijun verfasserin aut Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions 2018transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible results of efficiency changes originated from a time effect. (2) They can measure unified efficiency resulting from different benchmark frontiers (i.e. group and meta frontiers). (3) Through these decomposed indicators, this study can uncover and identify the major sources of unified efficiency changes. As an empirical application, the above indices are utilized for examining fossil fuel power plants in 30 provinces in China from 2004 to 2012, where all provinces are grouped into two groups. The main findings are summarized as follows. Firstly, MMUEI provide new valuable information relative to UEIs. The time paths of MMUEI form M-shaped curve for both coastal and inland regions. Secondly, different UEIs measure unified efficiency from different perspectives and thus have differentiated time paths. Finally, there are substantial provincial differences in terms of either MMUEI or UEIs, resulting from provincial variations. In the short run, the provinces with large potential should improve unified efficiency measures by “catching-up”. The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible results of efficiency changes originated from a time effect. (2) They can measure unified efficiency resulting from different benchmark frontiers (i.e. group and meta frontiers). (3) Through these decomposed indicators, this study can uncover and identify the major sources of unified efficiency changes. As an empirical application, the above indices are utilized for examining fossil fuel power plants in 30 provinces in China from 2004 to 2012, where all provinces are grouped into two groups. The main findings are summarized as follows. Firstly, MMUEI provide new valuable information relative to UEIs. The time paths of MMUEI form M-shaped curve for both coastal and inland regions. Secondly, different UEIs measure unified efficiency from different perspectives and thus have differentiated time paths. Finally, there are substantial provincial differences in terms of either MMUEI or UEIs, resulting from provincial variations. In the short run, the provinces with large potential should improve unified efficiency measures by “catching-up”. Environmental assessment Elsevier Data envelopment analysis (DEA) Elsevier Unified efficiency Elsevier Group heterogeneity Elsevier Meta-frontier non-radial directional distance functions Elsevier Zhang, Aizhen oth Huang, Huijie oth Yao, Xin oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:152 year:2018 day:1 month:06 pages:549-561 extent:13 https://doi.org/10.1016/j.energy.2018.03.164 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 152 2018 1 0601 549-561 13 |
| language |
English |
| source |
Enthalten in Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion Amsterdam [u.a.] volume:152 year:2018 day:1 month:06 pages:549-561 extent:13 |
| sourceStr |
Enthalten in Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion Amsterdam [u.a.] volume:152 year:2018 day:1 month:06 pages:549-561 extent:13 |
| format_phy_str_mv |
Article |
| bklname |
Pharmazie Pharmazeutika |
| institution |
findex.gbv.de |
| topic_facet |
Environmental assessment Data envelopment analysis (DEA) Unified efficiency Group heterogeneity Meta-frontier non-radial directional distance functions |
| dewey-raw |
610 |
| isfreeaccess_bool |
false |
| container_title |
Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion |
| authorswithroles_txt_mv |
Li, Aijun @@aut@@ Zhang, Aizhen @@oth@@ Huang, Huijie @@oth@@ Yao, Xin @@oth@@ |
| publishDateDaySort_date |
2018-01-01T00:00:00Z |
| hierarchy_top_id |
ELV000529575 |
| dewey-sort |
3610 |
| id |
ELV042964539 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV042964539</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626002715.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180726s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.energy.2018.03.164</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001024.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV042964539</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0360-5442(18)30573-5</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">15,3</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">PHARM</subfield><subfield code="q">DE-84</subfield><subfield code="2">fid</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.40</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Li, Aijun</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">13</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible results of efficiency changes originated from a time effect. (2) They can measure unified efficiency resulting from different benchmark frontiers (i.e. group and meta frontiers). (3) Through these decomposed indicators, this study can uncover and identify the major sources of unified efficiency changes. As an empirical application, the above indices are utilized for examining fossil fuel power plants in 30 provinces in China from 2004 to 2012, where all provinces are grouped into two groups. The main findings are summarized as follows. Firstly, MMUEI provide new valuable information relative to UEIs. The time paths of MMUEI form M-shaped curve for both coastal and inland regions. Secondly, different UEIs measure unified efficiency from different perspectives and thus have differentiated time paths. Finally, there are substantial provincial differences in terms of either MMUEI or UEIs, resulting from provincial variations. In the short run, the provinces with large potential should improve unified efficiency measures by “catching-up”.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible results of efficiency changes originated from a time effect. (2) They can measure unified efficiency resulting from different benchmark frontiers (i.e. group and meta frontiers). (3) Through these decomposed indicators, this study can uncover and identify the major sources of unified efficiency changes. As an empirical application, the above indices are utilized for examining fossil fuel power plants in 30 provinces in China from 2004 to 2012, where all provinces are grouped into two groups. The main findings are summarized as follows. Firstly, MMUEI provide new valuable information relative to UEIs. The time paths of MMUEI form M-shaped curve for both coastal and inland regions. Secondly, different UEIs measure unified efficiency from different perspectives and thus have differentiated time paths. Finally, there are substantial provincial differences in terms of either MMUEI or UEIs, resulting from provincial variations. In the short run, the provinces with large potential should improve unified efficiency measures by “catching-up”.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Environmental assessment</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Data envelopment analysis (DEA)</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Unified efficiency</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Group heterogeneity</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Meta-frontier non-radial directional distance functions</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Aizhen</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Huang, Huijie</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yao, Xin</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Solanki, Nayan ELSEVIER</subfield><subfield code="t">Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion</subfield><subfield code="d">2017</subfield><subfield code="d">the international journal</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV000529575</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:152</subfield><subfield code="g">year:2018</subfield><subfield code="g">day:1</subfield><subfield code="g">month:06</subfield><subfield code="g">pages:549-561</subfield><subfield code="g">extent:13</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.energy.2018.03.164</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-PHARM</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.40</subfield><subfield code="j">Pharmazie</subfield><subfield code="j">Pharmazeutika</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">152</subfield><subfield code="j">2018</subfield><subfield code="b">1</subfield><subfield code="c">0601</subfield><subfield code="h">549-561</subfield><subfield code="g">13</subfield></datafield></record></collection>
|
| author |
Li, Aijun |
| spellingShingle |
Li, Aijun ddc 610 ssgn 15,3 fid PHARM bkl 44.40 Elsevier Environmental assessment Elsevier Data envelopment analysis (DEA) Elsevier Unified efficiency Elsevier Group heterogeneity Elsevier Meta-frontier non-radial directional distance functions Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions |
| authorStr |
Li, Aijun |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV000529575 |
| format |
electronic Article |
| dewey-ones |
610 - Medicine & health |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions Environmental assessment Elsevier Data envelopment analysis (DEA) Elsevier Unified efficiency Elsevier Group heterogeneity Elsevier Meta-frontier non-radial directional distance functions Elsevier |
| topic |
ddc 610 ssgn 15,3 fid PHARM bkl 44.40 Elsevier Environmental assessment Elsevier Data envelopment analysis (DEA) Elsevier Unified efficiency Elsevier Group heterogeneity Elsevier Meta-frontier non-radial directional distance functions |
| topic_unstemmed |
ddc 610 ssgn 15,3 fid PHARM bkl 44.40 Elsevier Environmental assessment Elsevier Data envelopment analysis (DEA) Elsevier Unified efficiency Elsevier Group heterogeneity Elsevier Meta-frontier non-radial directional distance functions |
| topic_browse |
ddc 610 ssgn 15,3 fid PHARM bkl 44.40 Elsevier Environmental assessment Elsevier Data envelopment analysis (DEA) Elsevier Unified efficiency Elsevier Group heterogeneity Elsevier Meta-frontier non-radial directional distance functions |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
a z az h h hh x y xy |
| hierarchy_parent_title |
Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion |
| hierarchy_parent_id |
ELV000529575 |
| dewey-tens |
610 - Medicine & health |
| hierarchy_top_title |
Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV000529575 |
| title |
Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions |
| ctrlnum |
(DE-627)ELV042964539 (ELSEVIER)S0360-5442(18)30573-5 |
| title_full |
Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions |
| author_sort |
Li, Aijun |
| journal |
Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion |
| journalStr |
Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology |
| recordtype |
marc |
| publishDateSort |
2018 |
| contenttype_str_mv |
zzz |
| container_start_page |
549 |
| author_browse |
Li, Aijun |
| container_volume |
152 |
| physical |
13 |
| class |
610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Li, Aijun |
| doi_str_mv |
10.1016/j.energy.2018.03.164 |
| dewey-full |
610 |
| title_sort |
measuring unified efficiency of fossil fuel power plants across provinces in china: an analysis based on non-radial directional distance functions |
| title_auth |
Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions |
| abstract |
The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible results of efficiency changes originated from a time effect. (2) They can measure unified efficiency resulting from different benchmark frontiers (i.e. group and meta frontiers). (3) Through these decomposed indicators, this study can uncover and identify the major sources of unified efficiency changes. As an empirical application, the above indices are utilized for examining fossil fuel power plants in 30 provinces in China from 2004 to 2012, where all provinces are grouped into two groups. The main findings are summarized as follows. Firstly, MMUEI provide new valuable information relative to UEIs. The time paths of MMUEI form M-shaped curve for both coastal and inland regions. Secondly, different UEIs measure unified efficiency from different perspectives and thus have differentiated time paths. Finally, there are substantial provincial differences in terms of either MMUEI or UEIs, resulting from provincial variations. In the short run, the provinces with large potential should improve unified efficiency measures by “catching-up”. |
| abstractGer |
The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible results of efficiency changes originated from a time effect. (2) They can measure unified efficiency resulting from different benchmark frontiers (i.e. group and meta frontiers). (3) Through these decomposed indicators, this study can uncover and identify the major sources of unified efficiency changes. As an empirical application, the above indices are utilized for examining fossil fuel power plants in 30 provinces in China from 2004 to 2012, where all provinces are grouped into two groups. The main findings are summarized as follows. Firstly, MMUEI provide new valuable information relative to UEIs. The time paths of MMUEI form M-shaped curve for both coastal and inland regions. Secondly, different UEIs measure unified efficiency from different perspectives and thus have differentiated time paths. Finally, there are substantial provincial differences in terms of either MMUEI or UEIs, resulting from provincial variations. In the short run, the provinces with large potential should improve unified efficiency measures by “catching-up”. |
| abstract_unstemmed |
The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible results of efficiency changes originated from a time effect. (2) They can measure unified efficiency resulting from different benchmark frontiers (i.e. group and meta frontiers). (3) Through these decomposed indicators, this study can uncover and identify the major sources of unified efficiency changes. As an empirical application, the above indices are utilized for examining fossil fuel power plants in 30 provinces in China from 2004 to 2012, where all provinces are grouped into two groups. The main findings are summarized as follows. Firstly, MMUEI provide new valuable information relative to UEIs. The time paths of MMUEI form M-shaped curve for both coastal and inland regions. Secondly, different UEIs measure unified efficiency from different perspectives and thus have differentiated time paths. Finally, there are substantial provincial differences in terms of either MMUEI or UEIs, resulting from provincial variations. In the short run, the provinces with large potential should improve unified efficiency measures by “catching-up”. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA |
| title_short |
Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions |
| url |
https://doi.org/10.1016/j.energy.2018.03.164 |
| remote_bool |
true |
| author2 |
Zhang, Aizhen Huang, Huijie Yao, Xin |
| author2Str |
Zhang, Aizhen Huang, Huijie Yao, Xin |
| ppnlink |
ELV000529575 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth |
| doi_str |
10.1016/j.energy.2018.03.164 |
| up_date |
2024-07-06T17:33:57.147Z |
| _version_ |
1803851909981798400 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV042964539</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626002715.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180726s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.energy.2018.03.164</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001024.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV042964539</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0360-5442(18)30573-5</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">15,3</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">PHARM</subfield><subfield code="q">DE-84</subfield><subfield code="2">fid</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.40</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Li, Aijun</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">13</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible results of efficiency changes originated from a time effect. (2) They can measure unified efficiency resulting from different benchmark frontiers (i.e. group and meta frontiers). (3) Through these decomposed indicators, this study can uncover and identify the major sources of unified efficiency changes. As an empirical application, the above indices are utilized for examining fossil fuel power plants in 30 provinces in China from 2004 to 2012, where all provinces are grouped into two groups. The main findings are summarized as follows. Firstly, MMUEI provide new valuable information relative to UEIs. The time paths of MMUEI form M-shaped curve for both coastal and inland regions. Secondly, different UEIs measure unified efficiency from different perspectives and thus have differentiated time paths. Finally, there are substantial provincial differences in terms of either MMUEI or UEIs, resulting from provincial variations. In the short run, the provinces with large potential should improve unified efficiency measures by “catching-up”.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The static unified efficiency indices are not good at tracking unified efficiency changes across time. To this end, this study adopts Meta-frontier Malmquist unified efficiency indices (MMUEI). These dynamic indices have three important features: (1) They provide us with accurate and credible results of efficiency changes originated from a time effect. (2) They can measure unified efficiency resulting from different benchmark frontiers (i.e. group and meta frontiers). (3) Through these decomposed indicators, this study can uncover and identify the major sources of unified efficiency changes. As an empirical application, the above indices are utilized for examining fossil fuel power plants in 30 provinces in China from 2004 to 2012, where all provinces are grouped into two groups. The main findings are summarized as follows. Firstly, MMUEI provide new valuable information relative to UEIs. The time paths of MMUEI form M-shaped curve for both coastal and inland regions. Secondly, different UEIs measure unified efficiency from different perspectives and thus have differentiated time paths. Finally, there are substantial provincial differences in terms of either MMUEI or UEIs, resulting from provincial variations. In the short run, the provinces with large potential should improve unified efficiency measures by “catching-up”.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Environmental assessment</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Data envelopment analysis (DEA)</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Unified efficiency</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Group heterogeneity</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Meta-frontier non-radial directional distance functions</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Aizhen</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Huang, Huijie</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yao, Xin</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Solanki, Nayan ELSEVIER</subfield><subfield code="t">Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion</subfield><subfield code="d">2017</subfield><subfield code="d">the international journal</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV000529575</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:152</subfield><subfield code="g">year:2018</subfield><subfield code="g">day:1</subfield><subfield code="g">month:06</subfield><subfield code="g">pages:549-561</subfield><subfield code="g">extent:13</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.energy.2018.03.164</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-PHARM</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.40</subfield><subfield code="j">Pharmazie</subfield><subfield code="j">Pharmazeutika</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">152</subfield><subfield code="j">2018</subfield><subfield code="b">1</subfield><subfield code="c">0601</subfield><subfield code="h">549-561</subfield><subfield code="g">13</subfield></datafield></record></collection>
|
| score |
7.402856 |