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Biologi molekuler medik
Buku ini tentang biologi molekuler medik yaitu ilmu yang mempelajari struktur dan fungsi molekul makhluk hidup, yang terdiri atas molekul organik dan anorganik, terorganisasi satu sama lain membentuk dan mempertahankan unit seluler sehingga dapat berfungsi biologis
PembInaan kreativitas anak guna membangun kompetensi
Buku ini berisikan konsep-konsep pendidikan pada anak dan dilengkapi dengan beberapa peristiwa faktual yang terjadi di lingkungan sekolah dan lingkungan rumah, sehingga mudah dipahami dan dapat diterapkan untuk membIna perilaku anak
THE INFLUENCE OF COMMON CARP MEAT (Cyprinus carpio) DIET ON BRAIN INDEX AND THE EXPRESSION OF GENE NR2B OF SWISS WEBSTER MICE CEREBRUM
This research was to evaluate the influence of common carp meat diet on brain index and gene NR2B expression of Swiss Webster mice cerebrum. The gene expression and performance of ion Ca2+ channel in neuron are influenced by Glycine and Glutamic Acid, which present in relatively high quantities in common carp meat. Eighteen male mice were divided into 3 diet groups, the standard pellet, 120 mg and 480 mg common carp meat/day. The brain index differences among groups were analyzed using ANOVA test (p≤0,05) and LSD. The total RNA of 5 mg mouse cerebrum was isolated, followed by RT-PCR; the DNA quantities were predicted using Geldoc instrument, then were analyzed using ANOVA test (p≤0,05). The 120 mg diet group brain index did not show difference (p=0,284) against the standard diet group, while the 480 mg diet group showed the increase compared to the standard (p=0,034) and 120 mg diet groups (p=0,004). No DNA quantity differences of all groups (p=0,195). It was concluded, the 480 mg common carp meat/ day diet increased the brain index of Swiss Webster mice, while the 120 mg and 480 mg common carp/day diets did not influence the gene NR2B expression of Swiss Webster mice cerebrum. Keywords : brain index, gene NR2B expression, common carp meat diet</jats:p
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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