34,894 research outputs found

    PENGARUH VARIASI KOMPOSISI SAMPAH PASAR TERHADAP WAKTU PENGOMPOSAN DAN KUALITAS KEMATANGAN KOMPOS DENGAN BIOAKTIVATOR LINGKUNGAN

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    Sampah sayuran dari pasar dibuang ke TPA tanpa adanya pemanfaatan. Sampah terung, sawi hijau, daun ubi dan brokoli dimanfaatkan sebagai bahan baku kompos., karena memiliki kandungan karbon, nitrogen, fosfor dan kalium yang dibutuhkan oleh tanaman dan kesuburan tanah. Penelitian ini bertujuan untuk mengetahui pengaruh variasi komposisi sampah pasar terhadap waktu pengomposan dan kualitas kematangan kompos dengan Bioaktivator Lingkungan. Pengomposan ini menggunakan prinsip aerobic dengan tube composter yang dimodifikasi. Variasi komposisi yang digunakan yaitu perbandingan terung 50%:brokoli 50% (TB & KTB) dan sawi hijau 60%:daun ubi 40% (SD & KSD). Proses pengomposan ini diamati selama 30 hari. Kompos yang diperoleh dianalisis warna, bau, suhu, pH, kadar air, C-Organik, N-Total, P, K, reduksi volume dan GI%. Hasil analisis dibandingkan dengan SNI 19-7030-2004. Analisis kompos dilakukan pada hari ke 0,7,14,21 dan 28. Hasil analisis kompos menggunakan bioaktivator lebih efektif dan memerlukan waktu yang lebih cepat untuk mendekomposisi bahan organik dalam kompos daripada kontrolnya, yaitu hari ke 14. Kualitas kompos yang memenuhi SNI 19-7030-2004 (rasio C/N, kadar N, P, K, warna dan bau), yaitu kompos dengan bioaktivator (TB & SD) pada hari ke 14, sedangkan yang tidak menggunakan bioaktivator pada hari ke 21 (KSD) dan 28 (KTB & KSD). Tetapi, C-Organik yang memenuhi SNI 19-7030-2004 yaitu kompos dengan bioaktivator (TB) (28,20%; hari-28). Semua kadar air pada kompos tidak memenuhi SNI 19-7030-2004. GI (%) paling tinggi yaitu kompos dengan bioaktivator (TB; 128,87%) Kata Kunci: Sampah Sayuran, Proses Pengomposan, Bioaktivato

    Interview with Huda Zoghbi

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    An oral history interview with Dr. Huda Zoghbi about her career at Baylor College of Medicine in the Texas Medical Center. She worked as a professor in the Departments of Pediatrics, Molecular and Human Genetics, Neurology and Neuroscience at Baylor College of Medicine. She was also an investigator at the Howard Hughes Medical Institute and the director of the Jan and Dan Duncan Neurological Research Institute (NRI) at Texas Children\u27s Hospital. SOURCE: Baylor College of Medicine website, http://www.bcm.ed

    Multimodal Network Alignment

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    A multimodal network encodes relationships between the same set of nodes in multiple settings, and network alignment is a powerful tool for transferring information and insight between a pair of networks. We propose a method for multimodal network alignment that computes a matrix which indicates the alignment, but produces the result as a low-rank factorization directly. We then propose new methods to compute approximate maximum weight matchings of low-rank matrices to produce an alignment. We evaluate our approach by applying it on synthetic networks and use it to de-anonymize a multimodal transportation network.Comment: 14 pages, 6 figures, Siam Data Mining 201

    The Motivation Problem, Future Generations, and the Idea of “Leaving the Earth No Worse”

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    The author examines the problem of motivation about future generations. He argues that though many philosophers think that direct motivations are problematic for future generations only, they are not unproblematic for the current generations too, and that the motivation problem can be solved if we consider the idea of “leaving the earth no worse.” He also shows why such an idea should be promoted and can motivate us to work in the best interests of current and future generations. The author also contends that prioritizing the idea of “leaving the earth no worse” is not exclusively anthropocentric

    Adolescent Girls Economic Opportunities Study in Rwanda

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    This study aims to understand the economic barriers and constraints facing adolescent girls in Rwanda, as well as the opportunities for building assets, increasing empowerment, and tackling discriminatory institutions so that girls can better access and benefit from viable opportunities.It delivers a situational analysis with recommendations that inform the design of programmes for creating economic empowerment for adolescent girls

    On the Convergence of the Electronic Structure Properties of the FCC Americium (001) Surface

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    Electronic and magnetic properties of the fcc Americium (001) surface have been investigated via full-potential all-electron density-functional electronic structure calculations at both scalar and fully relativistic levels. Effects of various theoretical approximations on the fcc Am (001) surface properties have been thoroughly examined. The ground state of fcc Am (001) surface is found to be anti-ferromagnetic with spin-orbit coupling included (AFM-SO). At the ground state, the magnetic moment of fcc Am (001) surface is predicted to be zero. Our current study predicts the semi-infinite surface energy and the work function for fcc Am (001) surface at the ground state to be approximately 0.82 J/m2 and 2.93 eV respectively. In addition, the quantum size effects of surface energy and work function on the fcc Am (001) surface have been examined up to 7 layers at various theoretical levels. Results indicate that a three layer film surface model may be sufficient for future atomic and molecular adsorption studies on the fcc Am (001) surface, if the primary quantity of interest is the chemisorption energy.Comment: 34 pages, 9 figure
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