Building capacity in the parliaments of Jordan and Morocco : an institutional approach

This thesis examines the parliaments of Jordan and Morocco within an institutional approach. Previous studies of the Middle East and North Africa [MENA] parliaments tended to identify some trends, but most were concerned with the governments’ behaviour rather than examining the extent to which these institutions were working and what their capacity was. This thesis takes an institutional approach as the context for assessing the role of these parliaments, considering in particular their committees and administrative systems. The study emphasizes capacity building to complement the institutional approach adopted. Taking an institutional approach and considering capacity building in the two parliaments the dynamics of environmental factors, the constraints on committees, and administrative capabilities are examined. With this approach, it is possible to identify factors that shaped the current work of the two parliaments ranging from the environment, regulations, political system, and the economic and social identities that may influence the way these parliaments operate. This approach also reveals some of the strengths and weaknesses of the parliamentary practices and the administrative supporting services undertaken, including an explanation of how these parliaments are operating under their respective governing systems. This research offers an empirical study of the chosen parliaments by acknowledging the current levels of capacity and trying to contextualise their identities and capabilities. The findings demonstrate that the institutional approach and capacity building in the two parliaments is highly influenced by a variety of arrangements of legislatures along with the environmental factors affecting the two parliaments’ way of work. This research contributes to institutional and capacity building studies, particularly on the development of parliamentary institutions in the MENA region. This approach recommends the need to undertake further case studies involving other parliaments in the MENA region particularly those accommodating the political transformation towards a new era of vibrant new democracies, not only by rearranging institutional structures, practices and support, but also through cognitive, discursive, and social participation in the two countries’ most prominent institutions – their parliaments.

Fundamental limitations in the purifications of tensor networks

We show a fundamental limitation in the description of quantum many-body mixed states with tensor networks in purification form. Namely, we show that there exist mixed states which can be represented as a translationally invariant (TI) matrix product density operator valid for all system sizes, but for which there does not exist a TI purification valid for all system sizes. The proof is based on an undecidable problem and on the uniqueness of canonical forms of matrix product states. The result also holds for classical states.

La matriz normal de Jordan y los sistemas de ecuaciones diferenciales lineales en forma norma

El objetivo esencial del trabajo es emitir una propuesta metodológica, como vía alternativa, para abordar la resolución de ciertos Sistemas de Ecuaciones Diferenciales Lineales (SEDL) expresables en forma normal, usando métodos matriciales, a partir del empleo de la diagonalimción y normalización de matrices a través de la matriz normal de Jordan y usando para ello un procedimiento único, basado en el método analítico que es empleado para resolver la ecuación diferencial lineal de primer orden dada en su forma característica, sin soslayar, la obligada extensión a este contexto. Desde el punto de vista didáctico, la metodología general que se propone, para la resolución de estos SEDL es una de sus mayores ventajas metodológicas, ya que, precisamente, proporciona una vía operacional única y fija, con las obligadas transferencias contextuales que fueron señaladas, esperándose lograr una estructuración sistémica de los contenidos asociados al tema, en aras de alcanzar mayores niveles de asequibilidad dentro del proceso de asimilación.

Awareness and prevalence of metabolic syndrome among high-risk individuals attending internal medicine clinics across Jordan

Purpose: To examine the prevalence and awareness of metabolic syndrome (MetS) in high-risk individuals attending 30 internal medicine clinics in Amman, Jordan, and also to evaluate the various factors associated with increased risk of MetS among them. Methods: This retrospective cross-sectional study was carried out across Amman, Jordan from October to December 2014. During the study period, 900 high-risk individuals (with hypertension, diabetes, central obesity and/or dyslipidemia) were recruited from thirty internal medicine clinics in Amman, Jordan. Data collection forms were filled based on patient interview and medical case file. Results: The prevalence of MetS among high-risk individuals was around 40 % (361/900), with around 79 % (284/361) of MetS patients unaware of their condition. Older age, lower income and family history of premature cardiovascular diseases were associated with a higher prevalence of MetS. Conclusion: Although MetS was found to be highly prevalent among high-risk individuals in this study, the awareness of the condition in this group is very poor. These findings support the need for educational programs that involve both health care providers and patients. These programs should especially target those at risk of MetS, in order to improve awareness of the concept of MetS.

Parental views of antibiotic use in children with upper respiratory tract infections in Jordan

Purpose: To assess the knowledge, attitudes and practices of parents towards antibiotics use for upper respiratory tract infections (URTIs) in Jordan. Methods: A cross-sectional study was carried out at 10 private outpatients’ pediatric clinics across Amman-Jordan from September to December 2013. During the study period, 1329 parents of young children who fulfilled the inclusion criteria and agreed to participate were interviewed, and completed a validated structured questionnaire. Results: A large proportion of parents (903, 68 %) believed that weather change was the main cause of acute URTIs in their children. Although 1098 (82.8 %) of parents were aware that the recurrent use of antibiotics leads to a decrease in effectiveness due to bacterial resistance, 859 (64.6 %) of the respondents reported that they would give antibiotics without prescription. Fathers (135, 40.2 %), were significantly more aware that URTIs follow its natural course without antibiotic administration compared to mothers (N = 327, 32.9 %), respectively (p = 0.005). Conclusion: There is a lack of adequate parental knowledge concerning the use and misuse of antibiotics in children in Jordan. National publicity campaign should be mounted to improve awareness. Furthermore, existing laws should be enforced to prevent parents from purchasing antibiotics over-thecounter (OTC).

Rapporto tensore su scalare con gravità indotta: analisi dell’approssimazione di slow-roll nei frames di Jordan e Einstein

L’obbiettivo di questa tesi è quello di analizzare le conseguenze della scelta del frame (Jordan o Einstein) nel calcolo delle proprietà degli spettri primordiali generati dall’inflazione ed in particolare dell’osservabile r (rapporto tensore su scalare) al variare del potenziale del campo che genera l’espansione accelerata. Partendo dalla descrizione della teoria dell’inflazione in relatività generale, focalizzando l’attenzione sui motivi che hanno portato all’introduzione di questa teoria, vengono presentate le tecniche di utilizzo comune per lo studio della dinamica omogenea (classica) inflazionaria e di quella disomogenea (quantistica). Una particolare attenzione viene rivolta ai metodi di approssimazione che è necessario adottare per estrarre predizioni analitiche dai modelli inflazionari per poi confrontarle con le osservazioni. Le tecniche introdotte vengono poi applicate ai modelli di inflazione con gravità indotta, ovvero ad una famiglia di modelli con accoppiamento non minimale tra il campo scalare inflatonico e il settore gravitazionale. Si porrà attenzione alle differenze rispetto ai modelli con accoppiamento minimale, e verrà studiata la dinamica in presenza di alcuni potenziali derivanti dalla teoria delle particelle e diffusi in letteratura. Il concetto di “transizione tra il frame di Jordan e il frame di Einstein” viene illustrato e le sue conseguenze nel calcolo approssimato del rapporto tensore su scalare sono discusse. Infine gli schemi di approssimazione proposti vengono analizzati numericamente. Risulterà che per due dei tre potenziali presentati i metodi di approssimazione sono più accurati nel frame di Einstein, mentre per il terzo potenziale i due frames portano a risultati analitici similmente accurati.

A Retrospective-Longitudinal Examination of the Relationship between Apportionment of Seat Time in Community-College Algebra Courses and Student Academic Performance

During the past decade, there has been a dramatic increase by postsecondary institutions in providing academic programs and course offerings in a multitude of formats and venues (Biemiller, 2009; Kucsera & Zimmaro, 2010; Lang, 2009; Mangan, 2008). Strategies pertaining to reapportionment of course-delivery seat time have been a major facet of these institutional initiatives; most notably, within many open-door 2-year colleges. Often, these enrollment-management decisions are driven by the desire to increase market-share, optimize the usage of finite facility capacity, and contain costs, especially during these economically turbulent times. So, while enrollments have surged to the point where nearly one in three 18-to-24 year-old U.S. undergraduates are community college students (Pew Research Center, 2009), graduation rates, on average, still remain distressingly low (Complete College America, 2011). Among the learning-theory constructs related to seat-time reapportionment efforts is the cognitive phenomenon commonly referred to as the spacing effect, the degree to which learning is enhanced by a series of shorter, separated sessions as opposed to fewer, more massed episodes. This ex post facto study explored whether seat time in a postsecondary developmental-level algebra course is significantly related to: course success; course-enrollment persistence; and, longitudinally, the time to successfully complete a general-education-level mathematics course. Hierarchical logistic regression and discrete-time survival analysis were used to perform a multi-level, multivariable analysis of a student cohort (N = 3,284) enrolled at a large, multi-campus, urban community college. The subjects were retrospectively tracked over a 2-year longitudinal period. The study found that students in long seat-time classes tended to withdraw earlier and more often than did their peers in short seat-time classes (p < .05). Additionally, a model comprised of nine statistically significant covariates (all with p-values less than .01) was constructed. However, no longitudinal seat-time group differences were detected nor was there sufficient statistical evidence to conclude that seat time was predictive of developmental-level course success. A principal aim of this study was to demonstrate—to educational leaders, researchers, and institutional-research/business-intelligence professionals—the advantages and computational practicability of survival analysis, an underused but more powerful way to investigate changes in students over time.

Fiber Pathways for Language in the Developing Brain: A Diffusion Tensor Imaging (DTI) Study

The present study characterized two fiber pathways important for language, the superior longitudinal fasciculus/arcuate fasciculus (SLF/AF) and the frontal aslant tract (FAT), and related these tracts to speech, language, and literacy skill in children five to eight years old. We used Diffusion Tensor Imaging (DTI) to characterize the fiber pathways and administered several language assessments. The FAT was identified for the first time in children. Results showed no age-related change in integrity of the FAT, but did show age-related change in the left (but not right) SLF/AF. Moreover, only the integrity of the right FAT was related to phonology but not audiovisual speech perception, articulation, language, or literacy. Both the left and right SLF/AF related to language measures, specifically receptive and expressive language, and language content. These findings are important for understanding the neurobiology of language in the developing brain, and can be incorporated within contemporary dorsal-ventral-motor models for language.

On polynomials with given Hilbert function and applications

Using Macaulay's correspondence we study the family of Artinian Gorenstein local algebras with fixed symmetric Hilbert function decomposition. As an application we give a new lower bound for the dimension of cactus varieties of the third Veronese embedding. We discuss the case of cubic surfaces, where interesting phenomena occur.

Using linear algebra for protein structural comparison and classification.

In this article, we describe a novel methodology to extract semantic characteristics from protein structures using linear algebra in order to compose structural signature vectors which may be used efficiently to compare and classify protein structures into fold families. These signatures are built from the pattern of hydrophobic intrachain interactions using Singular Value Decomposition (SVD) and Latent Semantic Indexing (LSI) techniques. Considering proteins as documents and contacts as terms, we have built a retrieval system which is able to find conserved contacts in samples of myoglobin fold family and to retrieve these proteins among proteins of varied folds with precision of up to 80%. The classifier is a web tool available at our laboratory website. Users can search for similar chains from a specific PDB, view and compare their contact maps and browse their structures using a JMol plug-in.

Tensor-Train decomposition for image classification problems

In these last years a great effort has been put in the development of new techniques for automatic object classification, also due to the consequences in many applications such as medical imaging or driverless cars. To this end, several mathematical models have been developed from logistic regression to neural networks. A crucial aspect of these so called classification algorithms is the use of algebraic tools to represent and approximate the input data. In this thesis, we examine two different models for image classification based on a particular tensor decomposition named Tensor-Train (TT) decomposition. The use of tensor approaches preserves the multidimensional structure of the data and the neighboring relations among pixels. Furthermore the Tensor-Train, differently from other tensor decompositions, does not suffer from the curse of dimensionality making it an extremely powerful strategy when dealing with high-dimensional data. It also allows data compression when combined with truncation strategies that reduce memory requirements without spoiling classification performance. The first model we propose is based on a direct decomposition of the database by means of the TT decomposition to find basis vectors used to classify a new object. The second model is a tensor dictionary learning model, based on the TT decomposition where the terms of the decomposition are estimated using a proximal alternating linearized minimization algorithm with a spectral stepsize.

An introduction to scalar-tensor gravity: theory and experiment in the Brans-Dicke model

Le teorie della gravità scalare-tensore sono una classe di teorie alternative alla rel- atività generale in cui l’interazione gravitazionale è descritta sia dalla metrica, sia da un campo scalare. Ne costituisce un esempio caratteristico la teoria di Brans-Dicke, in- trodotta come estensione della relatività generale in modo da renderla conforme con il principio di Mach. Il presente lavoro di tesi è volto a presentare un’analisi di questa teoria nei suoi aspetti principali, studiandone i fondamenti teorici e il modello cosmologico derivante, sottolineandone inoltre i limiti e le criticità; in seguito vengono esposti i risultati degli esperimenti fino ad ora svolti per verificare fondamenti e previsioni del modello.

Il teorema di Jordan nella teoria delle serie di Fourier

Nella presente tesi si studia il teorema di Jordan e se ne analizzano le sue applicazioni. La trattazione è suddivisa in tre capitoli e un'appendice di approfondimento sulla funzione di Vitali. Nel primo capitolo, inizialmente, vengono introdotte le funzioni a variazione totale limitata, provando anche una loro caratterizzazione. Poi sono definite le serie di Fourier e si pone attenzione al lemma di Riemann-Lebesgue e al teorema di localizzazione di Riemann. Infine sono enunciati alcuni criteri di convergenza puntale e uniforme. Nel secondo capitolo, viene enunciato e dimostrato il teorema di Jordan. Verrà introdotto, inizialmente, una generalizzazione del teorema della media integrale, necessario per la prova del teorema di Jordan. Il terzo capitolo è dedicato alle applicazione del teorema di Jordan. Infatti si dimostra che ogni serie di Fourier può essere integrata termine a termine su ogni intervallo compatto. Di tale applicazione se ne darà anche una formulazione duale. Infine, nell'appendice, viene costruita la funzione di Vitali e ne sono riportate alcune delle sue proprietà.

Structural Connectivity Of The Default Mode Network And Cognition In Alzheimer׳s Disease.

Disconnectivity between the Default Mode Network (DMN) nodes can cause clinical symptoms and cognitive deficits in Alzheimer׳s disease (AD). We aimed to examine the structural connectivity between DMN nodes, to verify the extent in which white matter disconnection affects cognitive performance. MRI data of 76 subjects (25 mild AD, 21 amnestic Mild Cognitive Impairment subjects and 30 controls) were acquired on a 3.0T scanner. ExploreDTI software (fractional Anisotropy threshold=0.25 and the angular threshold=60°) calculated axial, radial, and mean diffusivities, fractional anisotropy and streamline count. AD patients showed lower fractional anisotropy (P=0.01) and streamline count (P=0.029), and higher radial diffusivity (P=0.014) than controls in the cingulum. After correction for white matter atrophy, only fractional anisotropy and radial diffusivity remained significantly lower in AD compared to controls (P=0.003 and P=0.05). In the parahippocampal bundle, AD patients had lower mean and radial diffusivities (P=0.048 and P=0.013) compared to controls, from which only radial diffusivity survived for white matter adjustment (P=0.05). Regression models revealed that cognitive performance is also accounted for by white matter microstructural values. Structural connectivity within the DMN is important to the execution of high-complexity tasks, probably due to its relevant role in the integration of the network.

Convergence Of Soil Nitrogen Isotopes Across Global Climate Gradients.

Quantifying global patterns of terrestrial nitrogen (N) cycling is central to predicting future patterns of primary productivity, carbon sequestration, nutrient fluxes to aquatic systems, and climate forcing. With limited direct measures of soil N cycling at the global scale, syntheses of the (15)N:(14)N ratio of soil organic matter across climate gradients provide key insights into understanding global patterns of N cycling. In synthesizing data from over 6000 soil samples, we show strong global relationships among soil N isotopes, mean annual temperature (MAT), mean annual precipitation (MAP), and the concentrations of organic carbon and clay in soil. In both hot ecosystems and dry ecosystems, soil organic matter was more enriched in (15)N than in corresponding cold ecosystems or wet ecosystems. Below a MAT of 9.8°C, soil δ(15)N was invariant with MAT. At the global scale, soil organic C concentrations also declined with increasing MAT and decreasing MAP. After standardizing for variation among mineral soils in soil C and clay concentrations, soil δ(15)N showed no consistent trends across global climate and latitudinal gradients. Our analyses could place new constraints on interpretations of patterns of ecosystem N cycling and global budgets of gaseous N loss.