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Drustvena istrazivanja, ISSN 1330-0288, 12/2016, Volume 25, Issue 4, pp. 523 - 545
Cilj istrazivanja bio je provjeriti mogu li prediktori tradicionalnoga vrsnjackog nasilja konzistentno dobiveni u prijasnjim istrazivanjima dobro predvidati i... 
Predictions
Journal Article
Future survey, ISSN 0190-3241, 1979
Journal
2008, 1, Rand Corporation monograph series, ISBN 9780833045621, xxix, 202
To help the U.S. Navy understand how near-, mid-, and far-term trends in the United States, China, and Iran might influence its investments, RAND examined... 
Strategic planning | Economic forecasting | Social prediction | United States. Navy Planning | United States. Navy | Iran | United States | China | Planning | Political Science | Navy | Force Structure and Employment | National Security | Global Security Environment
Book
Acta Oceanologica Sinica = Hai Yang Hsueh Pao, ISSN 0253-505X, 01/2018, Volume 40, Issue 11, pp. 157 - 165
The Polar Prediction Project(PPP,2013-2022)and Year of Polar Prediction(YOPP,mid-2017 to mid-2019)were initiated by the World Meteorological... 
Prediction
Journal Article
Acta Oceanologica Sinica = Hai Yang Hsueh Pao, ISSN 0253-505X, 01/2018, Volume 40, Issue 9, pp. 18 - 30
Journal Article
eJournal
2011, ISBN 0521198186, Volume 9780521198189, xii, 313
Randomness is ubiquitous in nature. Random drivers are generally considered a source of disorder in environmental systems. However, the interaction between... 
Geophysical prediction | Environmental Engineering & Technology | Random noise theory | Mathematics | Environmental sciences
Book
2016, The Munk debates, ISBN 1487001681, viii, 111 pages
"Progress. It is one of the animating concepts of the modern era. From the Enlightenment onwards, the West has had an enduring belief that through the... 
Civilization | Progress | Social prediction | Forecasting
Book
2010, ISBN 0691138168, 260
An earthquake can strike without warning and wreak horrific destruction and death, whether it’s the cataclysmic 2008 Sichuan quake in China that killed tens of... 
Earthquake prediction | General Science | Earthquakes
Book
2012, Statistics in practice., ISBN 047006109X, xii, 282
In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are both effective and... 
Evidence-based medicine | Statistical methods | Medical statistics | Decision making
Book
AIP Conference Proceedings, ISSN 0094-243X, 05/2016, Volume 1735, Issue 1
We have investigated the decays of B¯0→K¯*0R and B¯s0→ϕR with R being the X(4160), Y(3940), Z(3930) and a predicted J = 1 resonances. By using a model in which... 
Predictions
Conference Proceeding
Protein Science, ISSN 0961-8368, 12/2002, Volume 11, Issue 12, pp. 2774 - 2791
Methods that predict membrane helices have become increasingly useful in the context of analyzing entire proteomes, as well as in everyday sequence analysis.... 
acetyl‐amino‐acid amides (Fauchere and Pliska 1983) | Av‐Cid, normalized average hydrophobicity scale (Cid 1992) | PSI‐BLAST, position‐specific iterated database search (Altschul et al. 1997) | TrEMBL, translation of the EMBL‐nucleotide database coding DNA to protein sequences (Bairoch and Apweiler 2000) | TopPred2, hydrophobicity‐based membrane helix prediction (von Heijne 1992; Cserzö et al. 1997) | BIG, nonidentical merger of SWISS‐PROT (Bairoch and Apweiler 2000) and TrEMBL (Bairoch and Apweiler 2000) and PDB (Berman et al. 2000) | PHDhtm, profile‐based neural network prediction of transmembrane helices (Rost 1996; Rost et al. 1996b) | Eisenberg, normalized consensus hydrophobicity scale (Eisenberg et al. 1984) | TM, transmembrane | MEMSAT, dynamic‐programming based prediction of transmembrane helices (Jones et al. 1994) | PDB, Protein Data Bank of experimentally determined 3D structures of proteins (Bernstein et al. 1977; Berman et al. 2000) | A‐Cid, normalized hydrophobicity scale for α‐proteins (Cid 1992) | GES, hydrophobicity property (Engelman et al. 1986; Prabhakaran 1990) | MaxHom, dynamic programming algorithm for conservation weight‐based multiple sequence alignment (Sander and Schneider 1991) | EM, Solvation free energy (Eisenberg and McLachlan 1986) | bioinformatics | SignalP, signal peptide prediction (Nielsen et al. 1997a) | Ben‐Tal, hydrophobicity scale representing the free energy of transferring an amino acid from water into the center of the hydrocarbon region of a lipid bilayer (Kessel and Ben‐Tal 2002) | TMHMM, transmembrane prediction using cyclic hidden Markov models (Sonnhammer et al. 1998; Krogh et al. 2001) | computational biology | Roseman, solvation‐corrected side‐chain hydropathy (Roseman 1988) | KD, Kyte–Doolittle hydropathy index (Kyte and Doolittle 1982) | PHDpsihtm, divergent profile (PSI‐BLAST)‐based neural network prediction 2002 | Radzicka, transfer free energy from 1‐octanol to water (Radzicka and Wolfenden 1988) | Sweet, optimal matching hydrophobicity (Sweet and Eisenberg 1983) | HMM, hidden Markov model | Fauchere, hydrophobic parameter π from the partitioning of | SWISS‐PROT, database of protein sequences (Bairoch and Apweiler 2000) | TMAP, alignment‐based prediction of transmembrane helices (Persson and Argos 1996) | Wolfenden, hydration potential (Wolfenden et al. 1981) | BLAST, fast sequence alignment method (Altschul and Gish 1996) | Levitt, hydrophobic parameter (Levitt 1976) | multiple alignments, predicting transmembrane helices | proteomes | Lawson, transfer free energy (Lawson et al. 1984) | WW, Wimley–White hydrophobicity scale‐based method (Wimley et al. 1996a,b; White and Wimley 1999; White 2001) | Nakashima, normalized composition of membrane proteins (Nakashima et al. 1990) | SOSUI, hydrophobicity‐ and amphiphilicity‐based transmembrane helix prediction (Hirokawa et al. 1998) | Bull‐Breese, Bull‐Breese hydrophobicity scale (Bull 1974) | SPLIT, transmembrane helix prediction (Juretic et al. 1998) | EVA, server automatically evaluating structure prediction methods (Eyrich et al. 2001a,b) | comparing genomes | TMpred, prediction of transmembrane helices (Hofmann and Stoffel 1993) | Heijne, transfer free energy to lipophilic phase (von Heijne and Blomberg 1979) | TMH, transmembrane helix | HMMTOP, hidden Markov model predicting transmembrane helices (Tusnady and Simon 1998) | Sequence analysis | protein structure prediction | DSSP, program assigning secondary structure (Kabsch and Sander 1983) | META‐PP, internet service allowing access to a variety of bioinformatics tools through one single interface (Eyrich and Rost 2000) | Hopp‐Woods, Hopp‐Woods hydrophilicity value (Hopp and Woods 1981) | Protein structure prediction | Multiple alignments, predicting transmembrane helices | Proteomes | Bioinformatics | Comparing genomes | Computational biology | PROTEIN SECONDARY STRUCTURE | predicting transmembrane helices | BIOCHEMISTRY & MOLECULAR BIOLOGY | ESCHERICHIA-COLI | multiple alignments | ACID SIDE-CHAINS | TOPOLOGY PREDICTION | INTEGRAL MEMBRANE-PROTEINS | BACTERIAL OUTER-MEMBRANE | SARCOPLASMIC-RETICULUM CA2+-ATPASE | STRUCTURAL CLASSIFICATION | sequence analysis | C-TERMINAL DOMAIN | MITOCHONDRIAL PROTEINS | Computational Biology - methods | Algorithms | Animals | Membrane Proteins - chemistry | Protein Structure, Secondary | Sensitivity and Specificity | Models, Molecular | Software | Protein Folding | Index Medicus
Journal Article
2017, ISBN 9781785902222, 288 pages
Book
Earthquake prediction research, ISSN 0286-0619, 1982
Journal
Journal of earthquake prediction, ISSN 1002-1604, 1992
Journal
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