136 research outputs found
Rangkaian Neural Dalam Peramalan Harga Minyak Kelapa Sawit
No full textKertas kerja ini membincangkan penggunaan rangkaian neural suap-kehadapan dengan satu aras tersembunyi digabungkan dengan algoritma rambatan balik dan didapati ia sesuai untuk memerihalkan data harga minyak sawit. Kajian awal yang telah dilakukan oleh Azme et al. [1] mendapati analisis regresi berganda kurang sesuai digunakan kerana masalah multikolineariti dalam data kajian. Lima harga minyak sayuran dunia iaitu minyak sawit mentah, minyak isirong, minyak kacang soya, minyak kelapa dan minyak biji sawi telah dianalisis. Dua model telah dicadangkan iaitu, NN1 dan NN2. Hasil kajian mendapati bahawa kedua-dua model telah menunjukkan prestasi yang tinggi dengan mencatatkan nilai pekali penentuan, R2 yang tinggi iaitu 0.938 dan 0.940 masingmasing. Umumnya, rangkaian neural berupaya menjadi satu kaedah alternatif sekiranya masalah multikolineariti wujud terhadap data yang dikaji
Posttraumatic stress and worry as mediators and moderators between political stressors and emotional and behavioral disorders in Palestinian children
No full textThis study was designed to assess whether the symptoms of posttraumatic stress mediate or moderate the relationship between political stressors and emotional and behavioral disorders in Palestinian children. It was hypothesized that (a) posttraumatic stress and worry mediate the effect of political stressors on behavioral and emotional disorders and (b) the relationship between political stressors and behavioral and emotional disorders should be attenuated for children with low levels of worry and posttraumatic stress and strengthened for children with high levels of worry and posttraumatic stress. The total sample was 1267 school age children of both sexes with a mean age of 11.97 years. Interviews were conducted with children at school. As hypothesized, the results indicated that posttraumatic stress and worry mediated and moderated the relationship between political stressors and emotional and behavioral disorders in children. Cognitive-behavioral therapy may be used to reduce the incidence of posttraumatic stress and decrease self-reported worry, somatic symptoms, general anxiety, and depression among children exposed to political trauma. Cognitive-behavioral treatment that exclusively targets excessive worry can lead to clinical change in the other interacting subsystems at the cognitive, physiological, affective and behavioral levels. © 2012 Taylor and Francis Group, LLC.Aiken L., 1991, MULTIPLE REGRESSION; Almqvist K, 1999, J AM ACAD CHILD PSY, V38, P723, DOI 10.1097-00004583-199906000-00020; American Psychiatric Association, 1994, DIAGN STAT MAN MENT; BARON RM, 1986, J PERS SOC PSYCHOL, V51, P1173, DOI 10.1037-0022-3514.51.6.1173; Borkovec T. D., 1999, COMPREHENSIVE CLIN P, V4, P439; BORKOVEC TD, 1993, J CONSULT CLIN PSYCH, V61, P611, DOI 10.1037-0022-006X.61.4.611; Breslau N, 2000, BIOL PSYCHIAT, V48, P902, DOI 10.1016-S0006-3223(00)00933-1; Cloitre M, 2009, J TRAUMA STRESS, V22, P399, DOI 10.1002-jts.20444; Diefenbach GJ, 2001, DEPRESS ANXIETY, V14, P247, DOI 10.1002-da.1075; Dorahy MJ, 2009, J AFFECT DISORDERS, V112, P71, DOI 10.1016-j.jad.2008.04.003; Dugas MJ, 1997, COGNITIVE THER RES, V21, P593, DOI 10.1023-A:1021890322153; Elbedour S, 2007, CHILD ABUSE NEGLECT, V31, P719, DOI 10.1016-j.chiabu.2005.09.006; Garmezy N, 1985, CHILD ADOL PSYCH CL, P152; Gilbertson MW, 2001, J TRAUMA STRESS, V14, P413, DOI 10.1023-A:1011181305501; Goodman R, 1997, J CHILD PSYCHOL PSYC, V38, P581, DOI 10.1111-j.1469-7610.1997.tb01545.x; Grych JH, 2000, J CONSULT CLIN PSYCH, V68, P84, DOI 10.1037--0022-006X.68.1.84; Hoagwood KE, 2007, J AM ACAD CHILD PSY, V46, P773, DOI 10.1097-chi.0b013e3180413def; Hoagwood KE, 2007, J CLIN CHILD ADOLESC, V36, P581; Horowitz M. J., 1979, PSYCHOSOM MED, V41, P207; Johansson P, 2007, CLIN PSYCHOL PSYCHOT, V14, P1, DOI 10.1002-cpp.514; Khamis V, 2008, SOC SCI MED, V67, P1199, DOI 10.1016-j.socscimed.2008.06.013; KHAMIS V, 1993, BEHAV MED, V19, P93; KHAMIS V, 1993, J TRAUMA STRESS, V6, P555, DOI 10.1002-jts.2490060411; Khamis V, 2005, CHILD ABUSE NEGLECT, V29, P81, DOI 10.1016-j.chiabu.2004.06.013; Khamis V, 1998, SOC SCI MED, V46, P1033, DOI 10.1016-S0277-9536(97)10032-6; Khamis V., 2000, POLITICAL VIOLENCE P; Kivisto AJ, 2009, J TRAUMA STRESS, V22, P344, DOI 10.1002-jts.20425; Ladouceur R, 2000, J CONSULT CLIN PSYCH, V68, P957, DOI 10.1037-0022-006X.68.6.957; Litz BT, 2002, CLIN PSYCHOL-SCI PR, V9, P112, DOI 10.1093-clipsy-9.2.112; MALMQUIST CP, 1986, J AM ACAD CHILD PSY, V25, P320, DOI 10.1016-S0002-7138(09)60253-3; Masten AS, 2001, AM PSYCHOL, V56, P227, DOI 10.1037--0003-066X.56.3.227; MATHEWS A, 1990, BEHAV RES THER, V28, P455, DOI 10.1016-0005-7967(90)90132-3; McNally RJ, 2003, PSYCHOL SCI PUBLIC I, V4, P45, DOI [DOI 10.1111-1529-1006.01421, 10.1111-1529-1006.01421]; Meewisse M. L., 2005, J TRAUMA STRESS, V4, P299; MEYER TJ, 1990, BEHAV RES THER, V28, P487, DOI 10.1016-0005-7967(90)90135-6; Muris P, 2001, J BEHAV THER EXP PSY, V32, P63, DOI 10.1016-S0005-7916(01)00022-2; Sachinvala N, 2000, J NERV MENT DIS, V188, P818, DOI 10.1097-00005053-200012000-00005; Taft CT, 2007, J ABNORM PSYCHOL, V116, P498, DOI 10.1037-0021-843X.116.3.498; Thabet AAM, 2002, LANCET, V359, P1801, DOI 10.1016-S0140-6736(02)08709-3; Thabet AAM, 2004, J CHILD PSYCHOL PSYC, V45, P533, DOI 10.1111-j.1469-7610.2004.00243.x; Vasterling JJ, 2002, NEUROPSYCHOLOGY, V16, P5, DOI 10.1037--0894-4105.16.1.5; Wells A., 1994, ATTENTION EMOTION CL; Yates TM, 2003, DEV PSYCHOPATHOL, V15, P199, DOI 10.1017-S0954579403000117; Yilmaz E., 2008, CLIN PSYCHOL PSYCHOT, V15, P424; Yule W., 1994, INT HDB PHOBIC ANXIE, P223; ZILBERG NJ, 1982, J CONSULT CLIN PSYCH, V50, P407, DOI 10.1037-0022-006X.50.3.40712
Stressors, family environment and coping styles as predictors of educational and psychosocial adjustment in Palestinian children
No full textThis study investigated the contributions of child and parents' sociodemographics, daily stressors, family environment, and coping strategies, to academic achievement, cognitive functioning and aggression in a sample of 600 children at the intermediate grade levels from Gaza Strip. Each of the predictor variables exhibited a different pattern of relations with the outcome domains. Although the study highlights the negative consequences of stress on children's development, certain daily stressors had a positive effect. Optimal family relationships predicted better developmental outcomes. More emphasis on personal growth, control and organisation in the family predicted less optimal child development except for personal growth and achievement. More reliance on positive coping and less reliance on negative coping is associated with better academic achievement. The clinical and research implications of the findings are discussed. © 2013 Taylor and Francis.Achenbach TM, 2001, MANUAL ASEBA SCH AGE; Barrera M. A., 1981, SOCIAL NETWORKS SOCI, P69; BOGENSCHNEIDER K, 1994, SOCIOL EDUC, V67, P60, DOI 10.2307-2112750; Bongers IL, 2003, J ABNORM PSYCHOL, V112, P179, DOI 10.1037-0021-843X.112.2.179; Bradley RH, 2005, DEV PSYCHOL, V41, P89, DOI 10.1037-0012-1649.41.1.89; Bronfenbrenner U., 1979, ECOLOGY HUMAN DEV EX; Cairns E., 2001, INT ENCY SOCIAL BEHA, P16360; Causey D., 1993, PREVENTION SCH TRANS, P59; Compas BE, 2001, PSYCHOL BULL, V127, P87, DOI 10.1037--0033-2909.127.1.87; Cummings M., 2009, CLIN CHILD FAM PSYCH, V12, P16; Eisenberg N, 2005, CHILD DEV, V76, P1055, DOI 10.1111-j.1467-8624.2005.00897.x; Evans GW, 2002, CHILD DEV, V73, P1238, DOI 10.1111-1467-8624.00469; Folkman S, 1997, SOC SCI MED, V45, P1207, DOI 10.1016-S0277-9536(97)00040-3; Gelhaar T, 2007, EUR J DEV PSYCHOL, V4, P129, DOI 10.1080-17405620600831564; Hinkle D. E., 2003, APPL STAT BEHAV SCI; Khamis V, 2012, SOC SCI MED, V74, P2005, DOI 10.1016-j.socscimed.2012.02.025; Khamis V., 2000, POLITICAL VIOLENCE P; Kiser L. J., 2010, TRAUMATOLOGY, V16, P33, DOI [10.1177-1534765609358466, DOI 10.1177-1534765609358466]; KURDEK LA, 1988, J EDUC PSYCHOL, V80, P90, DOI 10.1037-0022-0663.80.1.90; La Greca A. M., 2001, ANXIETY DISORDERS CH, P159; Lazarus R. S., 1984, STRESS APPRAISAL COP; Li H, 2008, DEMOGRAPHY, V45, P223, DOI 10.1353-dem.2008.0006; Lugo-Gil J, 2008, CHILD DEV, V79, P1065, DOI 10.1111-j.1467-8624.2008.01176.x; McLoyd VC, 1998, AM PSYCHOL, V53, P185, DOI 10.1037-0003-066X.53.2.185; Merton R. K., 1957, SOCIAL THEORY SOCIAL; Moos B., 2002, FAMILY ENV SCALE; Morales JR, 2006, CHILD DEV, V77, P907, DOI 10.1111-j.1467-8624.2006.00910.x; Palestinian Centre for Human Rights (PCHR), 2008, POV GAZ STRIP; Pearlin L., 1993, HDB STRESS THEORETIC, P303; Poulin M, 2008, PSYCHOL AGING, V23, P13, DOI 10.1037-0882-7974.23.1.13; Punamaki RL, 2001, J COMMUNITY PSYCHOL, V29, P281, DOI 10.1002-jcop.1018; Rogers KN, 2003, J EARLY ADOLESCENCE, V23, P349, DOI 10.1177-0272431603258344; Schroeder VM, 2009, J CHILD FAM STUD, V18, P227, DOI 10.1007-s10826-008-9223-0; Seery MD, 2010, J PERS SOC PSYCHOL, V99, P1025, DOI 10.1037-a0021344; SPIRITO A, 1988, J PEDIATR PSYCHOL, V13, P555, DOI 10.1093-jpepsy-13.4.555; Wadsworth M. E., 2005, J CHILD FAM STUD, V14, P283, DOI DOI 10.1007-S10826-005-5056-211
Application of statistical and neural network model for oil palm yield study
No full textThis thesis presents an exploratory study on modelling of oil palm (OP) yield using statistical and artificial neural network approach. Even though Malaysia is one of the largest producers of palm oil, research on modelling of OP yield is still at its infancy. This study began by exploring the commonly used statistical models for plant growth such as nonlinear growth model, multiple linear regression models and robust M regression model. Data used were OP yield growth data, foliar composition data and fertiliser treatments data, collected from seven stations in the inland and coastal areas provided by Malaysian Palm Oil Board (MPOB). Twelve nonlinear growth models were used. Initial study shows that logistic growth model gave the best fit for modelling OP yield. This study then explores the causality relationship between OP yield and foliar composition and the effect of nutrient balance ratio to OP yield. In improving the model, this study explores the use of neural network. The architecture of the neural network such as the combination activation functions, the learning rate, the number of hidden nodes, the momentum terms, the number of runs and outliers data on the neural network’s performance were also studied. Comparative studies between various models were carried out. The response surface analysis was used to determine the optimum combination of fertiliser in order to maximise OP yield. Saddle points occurred in the analysis and ridge analysis technique was used to overcome the saddle point problem with several alternative combinations fertiliser levels considered. Finally, profit analysis was performed to select and identify the fertiliser combination that may generate maximum yiel
Penggunaan model berstruktur linear dalam pembinaan indeks kualiti hidup di Malaysia.
No full textLinear structural relation or LISREL has been adopted to check the relationship between observable variables and latent variables, which reflect to the quality of life. The formation of measurement model and structural model has been able to explain the relation between observable variable and latent variables and between latent variables and latent variables. As many as 15 variables which represent three factors have been taken into consideration in the measurement of quality of life (QOL) index, i.e. socioeconomic factor, demography structure factor and family size formation factor. An example of index measurement has been presented and lastly the QOL index based on three factors is listed according to district and state. It has been found that 59.5\% of the districts in Peninsular are below the minimum level, whereas the Federal Territory is at the highest index and Kedah records the lowest index
Self and other in umaymah al-khamis’ salma al umaniyyah
No full textThis paper explores patterns and perspectives to the construction of Self and Other in Saudi women’s fiction through a close reading of one the works of one of the earliest female writers to emerge in the Kingdom. A study of how this female writer arrived at the construction of the Saudi ‘Self’ in contradistinction to the other raises pertinent questions on notions of identities across cultures and civilizations. The paper examines series of ‘external Others’, established by the author; Umaymah Al-Khamis, whose own literary exposition and journeys enabled her to depict the question of national identity from a new standpoint. It also gives a picture of ‘internal Other’ of women who, for whatever reason, have perceived themselves as occupiers of the peripheries of the society. It draws its theoretical framework from Edward Said and Michel Foucault. In Salma Al-Umaniyyah, Umaymah Al-Khamis exemplifies the slippery texture of the Self and Other as well as its implications for socio-cultural harmony in human societies. The paper consequently contemplates the following questions: Why is it that the existing studies on Saudi Arabian literature, dominated by male writers interested in entrenching male dominance, have ignored the expression of ‘Self’ and ‘Other’ in the literary tradition of the Kingdom? What extent is a ‘Self’ and ‘Other’ factor in the production and consumption of fiction in Saudi Arabia? Why is it that, the author or Salma Ai-Umaniyyah is interested in ‘Self’ and ‘Other’ in her creativity
Neural network in modeling Malaysian oil palm yield
No full textProblem statement: Forecasting of palm oil yield has become an important element in the management of oil palm industry for proper planning and decision making. The importance of yield forecasting has led us to explore modeling of palm oil yield for Malaysia using the most recent development of Artificial Neural Network (ANN). The main issue in yield forecasting is to predict the future value with the minimum error. Approach: Artificial neural networks are computing systems containing many interconnected nonlinear neurons, capable of extracting linear and nonlinear regularity in a given data set. It is an artificial intelligence model originally designed to replicate the human brain's learning process, a network with many elements or neurons that are connected by communications channels or connectors. The ANN can perform a particular function when certain values are assigned to the connections or weights between elements. In this study, a secondary data set from the Malaysian Palm Oil Board (MPOB) on the foliar nutrient composition, fertilizer trials and Fresh Fruit Bunch (FFB) yield were taken and analyzed. The foliar nutrient composition variables are the nitrogen N, phosphorus P, potassium K, calcium Ca and magnesium Mg concentration, while the fertilizer trials data are the N, P, K and Mg fertilizers and are measured in kg per palm per year. The foliar composition data was presented in the form of measured values whiles the fertilizer data in ordinal levels, from zero to three. Results: Two experiments were conducted to demonstrate the implementation ANN and for both experiment, the result demonstrated that the number of hidden nodes produces an effect to the overall forecast performance of the ANN architecture. From the first experiment, it shows that the number of runs does not affect the ANN performance, but changing the momentum to learning rates, due to shows a significant improvement in the forecast result. The experimental result will be in the form of statistical analysis, the best neural network performance, the residual analysis and the effect on the learning rate on the NN performance. Conclusion: This study showed that modeling of oil palm yield using neural network requires data to be prepared or modified to satisfy the requirement of the parameters involved. This analysis yields the conclusion that only the number of hidden nodes has a significant influence on the NN performance and there is no effect resulting from the number of runs or the momentum term value on the neural network's performance
Forecasting of crude palm oil price using hybridizing wavelet and group method of data handling model
No full textForecasting of Crude Palm Oil (CPO) is one of the most important and the largest vegetable oil traded in the world market. This study investigates the forecasting of Crude Palm Oil (CPO) price using a hybrid model of Group Method of Data Handling (GMDH) with wavelet decomposition. The original monthly data of CPO time series were decomposed into the spectral band. After that, these decomposed subseries were given as input time series data to GMDH model to forecast the CPO price of monthly time series data. The result performance of hybridized GMDH model is compared with the original GMDH model. The measurements results from the mean absolute error (MAE) and the root mean square error (RMSE) showed that the hybrid GMDH model with wavelet decomposition gives more accurate result of predictions compared with the original GMDH model.</jats:p
Effects of chemical reaction, heat and mass transfer on boundary layer flow over a porous wedge with heat radiation in the presence of suction or injection R.Kandasamy ∗ Abd.Wahid B. Md.Raj
On Robust Environmental Quality Indices
No full textThis paper discusses a formulation of new environmental quality indices, which
can be used for monitoring environmental as well as meteorological parameters.
The formulation of the indices is based on conventional and robust principal
component analysis, which gives the linear combination of environmental
parameters. Comparisons are made between the conventional principal
component analysis (PCA) indices and robust principal component analysis
(RPCA) indices. The results show that the RPCA gave a better alternative linear
combination. A numerical example on air quality was used to illustrate the
application of the robust environmental indices
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