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Setitik Keajaiban
None
BUKU KENANGAN WISUDA
PANCA PRASETYA ALUMNI UNIVERSITAS MAARIF HASYIM LATIF KAMI ALUMNI UNIVERSITAS MAARIF HASYIM LATIF SIDOARJO DENGAN DILANDASI KEIMANAN KEPADA ALLAH SWT DAN DIJIWAI SEMANGAT PROKLAMASI 17 AGUSTUS 1945 DENGAN INI BERJANJI : 1. BAHWA KAMI SENANTIASA MENGHAYATI, MENGAMALKAN DAN MELESTARIKAN PANCASILA DAN UNDANG-UNDANG DASAR 1945 2. BAHWA KAMI SENANTIASA SETIA DAN MENJUNJUNG TINGGI KEHORMATAN ALMAMATER DIMANAPUN KAMI BERADA3. BAHWA KAMI SENANTIASA MENGABDIKAN ILMU AMALIAH DAN AMAL ILMIAH KEPADA MASYARAKAT UNTUK KESEJAHTERAAN NUSA, BANGSA DAN UMAT MANUSIA 4. BAHWA KAMI DALAM MENJALANKAN TUGAS YANG DIBEBANKAN KEPADA DIRIKAMI SENANTIASA JUJUR, DISIPLIN DAN PENUH RASA TANGGUNGJAWAB DENGAN MENGUTAMAKAN KEPENTINGAN UMUM DIATAS KEPENTINGAN PRIBADI DAN GOLONGAN 5. BAHWA KAMI SENANTIASA BERUSAHA UNTUK DAPAT MENGEMBANGKAN DIRI DAN PEKA TERHADAP SITUASI DIMANAPUN KAMI BERADA.
BUKU EMAS PTN
Belajar Buku Masuk PTN BUKU EMAS
Jejak Ingatan
“Saya berharap agar karya-karya tulis yang dirangkum dalam kumpulan tulisan “Jejak Ingatan” akan meningkatkan kesadaran, pemahaman, dan kepedulian masyarakat luas dalam menangani Alzheimer, serta menjadi inspirasi bagi kita semua dalam mendukung upaya peningkatan derajat kesehatan masyarakat Indonesia.” —Prof. Dr. dr. Nila Farid Moeloek, Sp. M(K), Menteri Kesehatan RI “Buku ini wajib dibaca oleh kita semua yang masih mempunyai orangtua dan suatu hari akan menjadi tua, untuk mengenal gejala awal, mengenal cara pencegahan, pengobatan dan bagaimana memberikan perawatan dengan kasih sayang untuk mengurangi penderitaan pasien dan keluarganya.” —dr. Yustiani Dikot SpS (K), Neurolog...
Pharmacoepidemiology
The not-to-be-missed, benchmark volume on the growing area of stud in the PharmD pharmacy curriculum. Provides a foundation for assessing the nature and extent of drug-taking behaviors. Text is adapted from the author's self-paced learning modules, developed for the Massachusetts College of Pharmacy.
Indonesia
None
Markov Chain Monte Carlo
While there have been few theoretical contributions on the Markov Chain Monte Carlo (MCMC) methods in the past decade, current understanding and application of MCMC to the solution of inference problems has increased by leaps and bounds. Incorporating changes in theory and highlighting new applications, Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition presents a concise, accessible, and comprehensive introduction to the methods of this valuable simulation technique. The second edition includes access to an internet site that provides the code, written in R and WinBUGS, used in many of the previously existing and new examples and exercises. More important...
Molecular Docking and Molecular Dynamics
This book clearly explains the principles of in silico tools of molecular docking and molecular dynamics. It provides examples of algorithms and procedures proposed by different software programs for visualizing and identifying potential interactions in complexes of biochemical interest. The book is structured in six chapters, each of which discusses different molecular simulation methodologies and provides concrete examples of complexes interactions. In each chapter authors give an overview of the treated subject, a description of the methodologies used, and a discussion of the results. The authors describe computational ways to achieve a rational design of bioactive compounds with various therapeutic applications, including antitumoral agents, antitubercular drugs, nonsteroidal anti-inflammatory drugs, and radiopharmaceuticals.
