by Zang Rui. / "Nov 2004." / Thesis (Ph.D.)--Chinese University of Hong Kong, 2004. / Includes bibliographical references (p. 78-82) / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Mode of access: World Wide Web. / Abstracts in English and Chinese.

by Kuok, Chan Man. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1997. / Includes bibliographical references (leaves 74-77). / Abstract --- p.i / Acknowledgments --- p.iii / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Data Mining --- p.2 / Chapter 1.2 --- Association Rule Mining --- p.3 / Chapter 2 --- Background --- p.6 / Chapter 2.1 --- Framework of Association Rule Mining --- p.6 / Chapter 2.1.1 --- Large Itemsets --- p.6 / Chapter 2.1.2 --- Association Rules --- p.8 / Chapter 2.2 --- Association Rule Algorithms For Binary Attributes --- p.11 / Chapter 2.2.1 --- AIS --- p.12 / Chapter 2.2.2 --- SETM --- p.13 / Chapter 2.2.3 --- "Apriori, AprioriTid and AprioriHybrid" --- p.15 / Chapter 2.2.4 --- PARTITION --- p.18 / Chapter 2.3 --- Association Rule Algorithms For Numeric Attributes --- p.20 / Chapter 2.3.1 --- Quantitative Association Rules --- p.20 / Chapter 2.3.2 --- Optimized Association Rules --- p.23 / Chapter 3 --- Problem Definition --- p.25 / Chapter 3.1 --- Handling Quantitative Attributes --- p.25 / Chapter 3.1.1 --- Discrete intervals --- p.26 / Chapter 3.1.2 --- Overlapped intervals --- p.27 / Chapter 3.1.3 --- Fuzzy sets --- p.28 / Chapter 3.2 --- Fuzzy association rule --- p.31 / Chapter 3.3 --- Significance factor --- p.32 / Chapter 3.4 --- Certainty factor --- p.36 / Chapter 3.4.1 --- Using significance --- p.37 / Chapter 3.4.2 --- Using correlation --- p.38 / Chapter 3.4.3 --- Significance vs. Correlation --- p.42 / Chapter 4 --- Steps For Mining Fuzzy Association Rules --- p.43 / Chapter 4.1 --- Candidate itemsets generation --- p.44 / Chapter 4.1.1 --- Candidate 1-Itemsets --- p.45 / Chapter 4.1.2 --- Candidate k-Itemsets (k > 1) --- p.47 / Chapter 4.2 --- Large itemsets generation --- p.48 / Chapter 4.3 --- Fuzzy association rules generation --- p.49 / Chapter 5 --- Experimental Results --- p.51 / Chapter 5.1 --- Experiment One --- p.51 / Chapter 5.2 --- Experiment Two --- p.53 / Chapter 5.3 --- Experiment Three --- p.54 / Chapter 5.4 --- Experiment Four --- p.56 / Chapter 5.5 --- Experiment Five --- p.58 / Chapter 5.5.1 --- Number of Itemsets --- p.58 / Chapter 5.5.2 --- Number of Rules --- p.60 / Chapter 5.6 --- Experiment Six --- p.61 / Chapter 5.6.1 --- Varying Significance Threshold --- p.62 / Chapter 5.6.2 --- Varying Membership Threshold --- p.62 / Chapter 5.6.3 --- Varying Confidence Threshold --- p.63 / Chapter 6 --- Discussions --- p.65 / Chapter 6.1 --- User guidance --- p.65 / Chapter 6.2 --- Rule understanding --- p.67 / Chapter 6.3 --- Number of rules --- p.68 / Chapter 7 --- Conclusions and Future Works --- p.70 / Bibliography --- p.74

by Yen-Hui Hung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1997. / Includes bibliographical references (leaves 76-78). / Abstract --- p.i / Acknowledgments --- p.iii / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Background ® / Chapter 2.1 --- Multilingual Information Processing --- p.6 / Chapter 2.1.1 --- Codesets --- p.6 / Chapter 2.1.2 --- Converters --- p.8 / Chapter 2.1.3 --- Collations --- p.8 / Chapter 2.1.4 --- Internationalization and Localization --- p.9 / Chapter 2.2 --- OBST --- p.10 / Chapter 2.3 --- Related Work --- p.11 / Chapter 2.3.1 --- Sybase --- p.11 / Chapter 2.3.2 --- Oracle --- p.13 / Chapter 2.3.3 --- COBASE --- p.15 / Chapter 2.3.4 --- SQL92 Standard --- p.15 / Chapter 3 --- Defects of Existing Systems and Proposed Language Extensions --- p.21 / Chapter 3.1 --- Defects of Existing Methods - Locale Model --- p.22 / Chapter 3.2 --- Defects of SQL92 --- p.22 / Chapter 3.3 --- Proposed Language Extensions --- p.24 / Chapter 3.3.1 --- Inserting tuples --- p.24 / Chapter 3.3.2 --- Updating tuples --- p.25 / Chapter 3.3.3 --- Querying (Retrieving tuples) --- p.26 / Chapter 3.3.4 --- String matching --- p.26 / Chapter 3.3.5 --- Performing Joins --- p.28 / Chapter 3.3.6 --- Sorting and Indexing --- p.30 / Chapter 4 --- DBMS Design and Implementation --- p.32 / Chapter 4.1 --- System Architecture --- p.34 / Chapter 4.2 --- Lexical Analyzer and Parser --- p.36 / Chapter 4.3 --- Database Objects --- p.37 / Chapter 4.4 --- Data Dictionary --- p.39 / Chapter 4.5 --- Character Objects Related Facilities --- p.41 / Chapter 4.5.1 --- Codesets --- p.42 / Chapter 4.5.2 --- Collations --- p.46 / Chapter 4.5.3 --- Converters --- p.48 / Chapter 4.6 --- Indexing --- p.50 / Chapter 4.7 --- Query Processor --- p.52 / Chapter 4.7.1 --- Join --- p.54 / Chapter 4.7.2 --- Sorting tuples - the order by clause --- p.54 / Chapter 4.7.3 --- "Group Structure, Aggregate Functions and Projection" --- p.55 / Chapter 4.8 --- Scalar and Conditional Expressions --- p.56 / Chapter 4.8.1 --- Representation of Scalar and Condition Expressions --- p.57 / Chapter 4.8.2 --- Implementations --- p.58 / Chapter 4.9 --- User Interface --- p.59 / Chapter 5 --- Case Study - A Bookshop --- p.62 / Chapter 5.1 --- Creating tables and inserting tuples --- p.62 / Chapter 5.2 --- Updating Tuples --- p.65 / Chapter 5.3 --- Querying --- p.65 / Chapter 5.4 --- String Matching --- p.66 / Chapter 5.5 --- Performing Joins --- p.67 / Chapter 5.6 --- Ordering Display --- p.68 / Chapter 5.7 --- Indexing --- p.70 / Chapter 6 --- Conclusions and Future Work --- p.73 / Bibliography --- p.76 / Chapter A --- Grammer Rules --- p.79 / Chapter A.1 --- Data Definition Language --- p.79 / Chapter A.2 --- Data Manipulation Language --- p.82 / Chapter A.3 --- Condition Expressions --- p.83 / Chapter A.4 --- Scalar Expressions --- p.84 / Chapter A.5 --- Data Type --- p.85 / Chapter A.6 --- Names and Identifiers --- p.87 / Chapter A.7 --- Lexical Element --- p.88 / Chapter B --- Programmers' Guide --- p.90 / Chapter B.l --- Charset.obst --- p.92 / Chapter B.2 --- Table.obst --- p.95 / Chapter B.3 --- dbSchema.obst --- p.101 / Chapter B.4 --- dbEnv.obst --- p.103 / Chapter B.5 --- Query.obst --- p.104 / Chapter B.6 --- Misc.obst and External.obst --- p.117 / Chapter B.7 --- Main --- p.118 / Chapter B.8 --- RPC interfaces --- p.120 / Chapter C --- Installation Manual --- p.122 / Chapter C.l --- Steps to install the DBMS server --- p.123 / Chapter C.2 --- Steps to install the WWW client --- p.124 / Chapter D --- User Manual --- p.125 / Chapter D.l --- User Interface Layout --- p.125 / Chapter D.2 --- Steps in Performing Database Operations --- p.128 / Chapter D.2.1 --- Creating new tables --- p.129 / Chapter D.2.2 --- Browsing existing tables --- p.131 / Chapter D.2.3 --- Inserting new records --- p.131 / Chapter D.2.4 --- Deleting records --- p.132 / Chapter D.2.5 --- Creating indexes --- p.132 / Chapter D.2.6 --- Showing existing schemas and tables --- p.133

O treino de potência muscular (TP) é mostrado ser uma modalidade de treinamento efetiva e segura para amenizar os prejuízos neuromusculares causados pelo envelhecimento. Porém, ainda há necessidade de mais informação a respeito da prescrição do TP. Assim, o objetivo do presente estudo foi comparar o efeito de 12 e 24 semanas de dois modelos de TP sobre as adaptações neuromusculares de mulheres idosas. Trinta mulheres idosas (60-68 anos) foram randomicamente alocadas em um dois dois grupos: grupo com variação do número séries (VS; n = 15) ou grupo com número de séries constantes (SC; n = 15). Durante o programa de TP o grupo VS realizou uma série por exercício durante as 12 primeiras semanas e a partir da décima terceira semana realizou três séries, enquanto que o grupo SC realizou três séries por exercício durante todo o período de treinamento. Uma repetição máxima (1-RM), contração isométrica voluntária máxima (CIVM), espessura muscular do quadríceps (EMQUA), taxa de produção de torque absoluta e normalizada (TPT, TPTN, respectivamente), impulso contrátil, potência muscular no salto com contra movimento e o desempenho funcional foram avaliados pré (Pré), após 12 (Pós 12) e após 24 (Pós 24) semanas de TP. Os grupos, VS e SC, aumentaram significativa (p ≤ 0,001 – 0,0001) e similarmente (p > 0,05) o 1-RM de extensão de joelhos, a CIVM e a EMQUA Pós 12 e Pós 24 semanas de treinamento. Além disso, quando analisado o aumento do Pós 12 ao Pós 24 semanas, ambos os grupos também mostraram aumento significativo nessas variáveis (p ≤ 0,05), sem diferença entre eles (p > 0,05). A TPT e o impulso contrátil apresentaram melhora significativa Pós 12 e Pós 24 semanas de treinamento (p ≤ 0,01 – 0,0001), enquanto que a TPTN apresentou aumento significativo apenas no Pós 24 (p ≤ 0,05). Ainda, a TPT e impulso contrátil apresentaram melhora significativa (p ≤ 0,05) do Pós 12 ao Pós 24, de maneira similar para ambos os grupos (p > 0,05). A potência muscular e o desempenho também melhoraram significativa (p ≤ 0,01 – 0,0001) e similarmente (p > 0,05) para ambos os grupos Pós 12 e Pós 24 semanas de treinamento. Em resumo o presente estudo encontrou que os grupos VS e CS melhoraram significativa e similarmente as variáveis neuromusuclares e o desempenho funcional Pós 12 e Pós 24 semanas de treinamento. Além disso, o grupo VS comparado ao grupo CS, não teve atenuação nos ganhos Pós 24 semanas de TP em nehuma das variváeis neuromusculares avaliadas e no desempenho funcional. / The power training (PT) has been shown to be an effective and safe training mode to attenuate the deleterious effects of aging in neuromuscular variables. However, still there is the need for information regarding to PT prescription. Thus, the aim of present study was to compare the effect of 12 and 24 weeks of PT on neuromuscular adaptations in elderly women. Thirty elderly women (60- 68 years) were randomly assigned to one of two groups: group with variation in number of sets (VS; n = 15) or group with number of constant sets (CS; n= 15). During PT routine the VS group perfomed one set by exercise during the first 12 weeks and from the thirteenth week they performed three sets by exercise, whereas CS group performed three sets during entire training period. Onerepetition maximum (1-RM) and maximum isometric voluntary contraction (MIVC) of knee extension, quadriceps femoris muscle thickness (QF MT), absolute and normalized rate of torque development (RTD and RTDN, respectively), contractile impulse, muscle power in countermovement jump and functional performance were assessed before training (Pre), after 12 (Post 12) and after 24 (Post 24) weeks of training. The groups, VS and CS, increased significant (p ≤ 0.001 – 0.0001) and similarly (p > 0.05) the 1-RM, MIVC and QF MT at Post 12 and Post 24 weeks of training. Furthermore, when analyzed the increase of Post 12 to Post 24 weeks, both groups showed significant increases in these variables (p ≤ 0.05), with no difference between groups (p > 0.05). The RTD and the contractile impulse showed significant improvements at Post 12 and Post 24 weeks of training (p ≤ 0.01 – 0.0001), while that the RTDN increased only at Post 24 (p ≤ 0.05). Moreover, RTD and contractile impulse significantly increased from Post 12 to Post 24 weeks, similarly for both groups (p > 0.05). The muscle power and the functional performance also showed significant (p ≤ 0.01 – 0.0001) and similar (p > 0.05) improvements in both groups at Post 12 and Post 24 weeks of training. In summary, the study found that the groups VS and SC improved significant and similarly the neuromuscular variables and functional performance at Post 12 and Post 24 weeks of PT. Furthermore, the VS group compared to SC group did not showed attenuated gains at Post 24 weeks of PT in any neuromuscular variable assessed and in functional performance.

In 2005, Alon, et al. proved that tournaments arising from majority voting scenarios have minimum dominating sets that are bounded by a constant that depends only on the notion of what is meant by a majority. Moreover, they proved that when a majority means that Candidate A beats Candidate B when Candidate A is ranked above Candidate B by at least two out of three voters, the tournament used to model this voting scenario has a minimum dominating set of size at most three. This result gives 2-majority tournaments some significance among all tournaments and motivates us to investigate when a given tournament can be considered a 2-majority tournament. In this thesis, we prove, among other things, that the presence of an upset path in a tournament allows us to conclude the tournament is realizable as a 2-majority tournament.

Abstract not available

No description available.

Consider sequential trials comparing two treatments with binary responses. The goal is to derive accurate confidence sets for the treatment difference and the individual success probabilities of the two treatments. We shall begin with the signed-root transformation as a pivot and then apply the approximate theory of Weng and Woodroofe [11] to form accurate confidence sets of these parameters. The explicit correction terms of the pivots are obtained. The simulation studies agree well with the theoretical results.

<p>Abstract</p><p>Elderly people are going to be a growing number in Europe. Between one third are going to be 60 years or older at 2025. For Sweden the situation is going to be similar. A reduced muscle function could lead to complications for the individual to perform daily tasks and will lead to a higher rate for falling and getting bone fractures. The positive sides are that for men and women there are a possibility for maintaining physical function and strength even in older years. The purpose of this study was to investigate the possibility of gaining strength in M. Quadriceps femoris among five elderly people. The training schedule followed over 6 weeks of time with training sessions twice a week, training the Quadriceps muscle with one set of each training session. The result shows that for the three people that completed the study, all of them managed to gain strength. Further the study examines resistance training comparing single and multiple sets. Is there any difference in gaining strength between training programs with single set training versus multiple sets training?</p>

Comparative analysis is an essential part of understanding how and why things work the way they do. Why postgraduate degree holders really earn more money than those with an undergraduate degree? What factors contribute to pre-term births? Why are some students more successful than others? The above questions require comparison between various classes. Contrast-set mining was first proposed as a way to identify attributes that significantly differentiate between various classes (groups). While contrast-set mining has been widely applied for differentiating between different groups however, no clear picture seems to have emerged regarding how to extract the contrast-sets that discriminate most between the classes. In this thesis we try to address the problem of finding meaningful contrast sets by applying Association Rule Mining. We report a new family of contrast-sets, and we present and compare the results of our experiments with the well known algorithm for contrast-set mining - STUCCO.