Miracle-dz/UniFAR-FTUs huggingface dataset:
Running head: DOES SOCIAL BELONGING PROTECT YOUNG PEOPLE 1 Does Social Belonging to Primary Groups Protect Young People from the Effects of Pro-Suicide Sites? A Comparative Study of Four Countries

Background: The Internet has facilitated the existence of extreme and pathological communities that share information about ways to commit suicide, or deliberately harm or hurt oneself. This material is user-generated and easily accessible. Aims: The present study analyses the buffering effect of the social belonging to a primary group in the situation of prosuicide site exposure. Methods: Cross-national data was collected from the US, UK, Germany, and Finland in spring 2013 and 2014 from respondents aged 15 to 30 (N=3,567). Data were analysed by using linear regression separately for women and men for each country. Results: A higher level of belonging to a primary group buffered the negative association of pro-suicide site exposure with mental health, measured as happiness, although the results were not consistent in the subgroups. US males showed a significant buffering effect of the sense of belonging to family while the belonging to friends had a buffering effect among four other sub-groups: British females and males, and Finnish females and males. Conclusions: The results underline the positive potential of primary groups to shield young people’s mental health in the situation of pro-suicide site exposure.
APIS – A Digital Inventory of Archaeological Heritage Based on Remote Sensing Data

Abstract. Heritage managers are in need of dynamic spatial inventories of archaeological and cultural heritage that provide them with multipurpose tools to interactively understand information about archaeological heritage within its landscape context. Specifically, linking site information with the respective non-invasive prospection data is of increasing importance as it allows for the assessment of inherent uncertainties related to the use and interpretation of remote sensing data by the educated and knowledgeable heritage manager. APIS, the archaeological prospection information system of the Aerial Archive of the University of Vienna, is specifically designed to meet these needs. It provides storage and easy access to all data concerning aerial photographs and archaeological sites through a single GIS-based application. Furthermore, APIS has been developed in an open source environment, which allows it to be freely distributed and modified. This combination in one single open source system facilitates an easy workflow for data management, interpretation, storage, and retrieval. APIS and a sample dataset will be released free of charge under creative commons license in near future.
Management Development and Organizational Resilience. A Case Study Of Some Selected Manufacturing Firms In Rivers State. Nigera.

The study examined the effect of Management Development on Organizational Resilience in the Nigerian manufacturing industry. A total of 140 employees were randomly drawn from employees of the 31 manufacturing companies in Port Harcourt. The instruments used for data collection were questionnaire and oral interview. A total of 93 copies of the questionnaire were retrieved and analyzed. Spearman’s Rank Correlation Statistical tool was used to test the hypotheses. The findings revealed that Management Development is significantly related to Organizational Resilience. Based on these findings we concluded that Management Development has significant influence on Organizational Resilience. The study therefore recommends that organizations should use its management development programmes as a knowledge retention measure that will strategically channel efforts in a way that will drive organizational success.
DEPENDENCIES IN A PARTIALLY SPECIFIED RELATION

The current schema design theories assume that a database may be regarded as a single relation. From the practical point of view, this is hardly acceptable. However, if a relation is allowed to have unspecified items, any database can be represented as a partial relation. Since the normalization theory is defined with respect to relations, it needs to be extended so that it may become applicable to partial relations. As extensions of dependencies, natural depend encies are defined. They are axiomatized, and the set of axioms is proved its completeness. The schema design based on natural de pendencies solves not only the problems caused by a universal relation assumption but also the update anomalies caused by decomposition of a database.
Experiments with Lanczos biconjugate Aorthonormalization methods for MoM discretizations of Maxwell’s equations

In this paper we consider a novel class of Krylov projection methods computed from the Lanczos biconjugate A- Orthonormalization procedure for the solution of dense complex non-Hermitian linear systems arising from the Method of Moments discretization of Maxwell's equations. We report on experiments on a set of model problems representative of realistic radar-cross section calculations to show their competitiveness with other popular Krylov solvers, especially when memory is a concern. The results presented in this study will contribute to assess the potential of iterative Krylov methods for solving electromagnetic scattering problems from large structures enriching the database of this technology.
Threshold GARCH modeling of the inflation & inflation uncertainty relationship: historical evidence from the Turkish economy

In this paper, the preceding / causal relationships between inflation and inflation uncertainty have been tried to be examined for the Turkish economy. Dealing with the information content of this relationship, we estimate that positive inflationary shocks are associated with statistically significant and quantitatively larger levels of inflation uncertainty than are negative shocks. Our estimation results indicate that inflation in fact leads to inflation uncertainty in line with the Friedman-Ball hypotheses. However, our findings contradict the Cukierman-Meltzer hypotheses that inflation uncertainty leads to inflation in a positive way. We find that the larger the inflation uncertainty the lower would likely to be the level of inflation.
Diet of the Texas Map Turtle (Graptemys versa): Relationship to Sexually Dimorphic Trophic Morphology and Changes Over Five Decades as Influenced by an Invasive Mollusk

ABSTRACT The diet of the Texas map turtle (Graptemys versa) in the Colorado River drainage was studied using 1) stomach flushing and collection of feces in 1998–1999 and 2) dissection of museum specimens collected in 1949 prior to invasion of their habitats by exotic Asian clams (Corbicula spp.). Feces were found to be better indicators of dietary diversity based on log–log comparisons of sample volume with turtle size and the fact that Corbicula were absent in stomach flushes of small female specimens that yielded abundant shell fragments in their feces. Adult males fed most heavily on aquatic insect larvae (primarily trichopterans and ephemeropterans) and showed little change in diet over 5 decades. Small females that overlapped adult males in body size had wider heads and alveolar surfaces of the jaws than did males and fed predominantly on Corbicula, snails, insect larvae, and algae. Females that were larger than males in body size showed a change from a diverse diet in 1949 that included sphaeriid clams, trichopteran larvae, sponges, bryozoans, and algae, to nearly exclusive feeding on the invasive mollusk Corbicula 5 decades later. Based on the present report and previous studies, it appears that 1 result of the invasion of rivers in North America by Corbicula is greatly decreased diversity of diet in adult female Graptemys of moderate head width (mesocephaly).
Predictive Models of Fish Species Distribution in the Blackwater Drainage, British Columbia

Abstract Management of fish biodiversity and individual fish species requires the ability to understand and predict expected species distributions. Models predicting species distributions can provide insight into habitat requirements, help identify unique outlier populations, and determine potential biodiversity hotspots. Our goal was to determine whether reliable models of species distributions could be developed for freshwater fish in British Columbia using large-scale macrohabitat data. We surveyed 48 stream sites in a British Columbia drainage with high species diversity (the Blackwater River) and developed statistical models based on macrohabitat variables to describe fish species distributions. Classification rates (i.e., the proportion of sites correctly classified by the model) of our logistic regression models based solely on map-based variables were generally high (73–90%) for most fish species found in the Blackwater River drainage. Including field-measured variables produced significantly bett.
Adaptive Loss Inference Using Unicast End-to-End Measurements

We address the problem of inferring link loss rates from unicast end-to-end measurements on the basis of network tomography. Because measurement probes will incur additional traffic overheads, most tomography-based approaches perform the inference by collecting the measurements only on selected paths to reduce the overhead. However, all previous approaches select paths offline, which will inevitably miss many potential identifiable links, whose loss rates should be unbiasedly determined. Furthermore, if element failures exist, an appreciable number of the selected paths may become unavailable. In this paper, we creatively propose an adaptive loss inference approach in which the paths are selected sequentially depending on the previous measurement results. In each round, we compute the loss rates of links that can be unbiasedly determined based on the current measurement results and remove them from the system. Meanwhile, we locate the most possible failures based on the current measurement outcomes to avoid selecting unavailable paths in subsequent rounds. In this way, all identifiable and potential identifiable links can be determined unbiasedly using only 20% of all available end-to-end measurements. Compared with a previous classical approach through extensive simulations, the results strongly confirm the promising performance of our proposed approach.
Mining semi-structured data, theoretical and experimental aspects of pattern evaluation

In dit proefschrift worden verschillende manieren onderzocht om semi-gestructureerde gegevens te analyseren, bijv. HTML bestanden. HTML bestanden hebben een structuur/opbouw, maar waar en hoe vaak je een tekst bold of italic maakt varieert voor elke HTML. Er is gekeken naar verschillende manieren om de voorkomens van een patroon (bijvoorbeeld alle moleculen in onze dataset bevatten een bepaalde set van atomen en verbindingen) te tellen om zo interessante patronen te vinden. Het juist presenteren van de resultaten aan de gebruiker is ook van belang. Dit proefschrift behandelt de visuele weergave van resultaten van de analyse (mining) van semi-gestructureerde gegevens, zodat de gebruiker eenvoudiger interessante patronen kan vinden. De conclusies zijn moeilijk kort samen te vatten. Echter het blijkt dat sommige patronen interessanter waren wanneer zij heel vlak achter elkaar voorkwamen en andere wanneer zij bijvoorbeeld wekelijks voorkwamen. Om nog meer interessante patronen te vinden is het aan te raden rekening te houden met dit element van tijd. Verder blijkt het dat visualisaties nodig zijn om de grote hoeveelheid patronen effectief te presenteren, bijvoorbeeld de gebruiker ziet in een oog opslag substructuren van moleculen die voorkomen. Het onderzoek in dit proefschrift is belangrijk voor de analyse van data. Denk bijvoorbeeld aan de analyse van het gedrag van klanten. Het is interessant voor bedrijven om te weten dat klanten bepaalde producten aanschaffen bijvoorbeeld elke maandag. Dit is vernieuwend omdat wij subgroepen van producten ontdekken, maar wij tellen subgroepen met de juiste eigenschappen voor tijd zwaarder dan subgroepen die gewoon zomaar voorkomen. De visualisatie van samen voorkomende molecuul substructuren kan de analyse van deze versnellen en deze manier van plotten is nieuw.
Effectiveness of Dichrostachys glomerata Spice Phenolics in Reduction of Oxidative Stress Associated with Obesity and Type 2 Diabetes; a Randomized, Double-Blind Placebo-Controlled Clinical Trial

This work evaluated the effect of Dichrostachys glomerata on the improvement of antioxidant biomarkers in obesity and type 2 diabetes participants, in an eight-week randomized, double-blind, placebo-controlled design study. The active (400 mg) or placebo formulation were administered twice daily throughout the study period to two normoglycemic and two diabetic obese random groups. Plasma levels of a total of 8 biochemical parameters were taken at the baseline and after 4 and 8 weeks of treatment. No differences in urate variation were observed while the plasma phenolic content as well as the reduced glutathione level, ascorbate concentration, FRAP value and enzymatic antioxidant activities significantly increased with a concomitant reduction of MDA after 8 weeks compared to placebo (P < 0.01). On the contrary to urate and ascorbate, plasma polyphenol content correlated well with FRAP level in both treated groups indicating that phenolics from the spice greatly contributed to the antioxidant activity.
The Distance to the Pleiades Revisited

Abstract The parallax of the Pleiades has been mired in controversy ever since the very first astrometric measures in the late 1880s. Over a century later, the measures from the HIPPARCOS catalogue gave results which were inconsistent with the distance inferred from the fitting of the colour-magnitude diagram. We briefly review here the debate and focus on the various attempts made at solving the problem, and especially those using binary stars. The only double-lined eclipsing binary found so far in the Pleiades, HD 23642, provides not only the final answer to the problem but also, through detailed state-of-the-art analyses, the fundamental calibration for binaries in more distant clusters and hence in the Local Group. We discuss some of the various sources of systematic uncertainties that limit, so far, the accuracy of the measured stellar parameters to about 1% and the progress that is required to break this barrier.
Peptoid Based Slide Coatings for Disease Detection via ELISA Microarray Analysis

Poly-N-substituted glycines (peptoids) are a very versatile family of synthetic molecules that can be customized for any number of applications. In this study, we chose to use peptoids as a foundation for sandwich ELISA microarray analysis with a long term goal of creating an early detection device for complex diseases such as cancer. The peptoids were designed to selfassemble into microspheres to be used in coatings on the surface of the microarray substrates to increase the surface area available for antibody attachment. This increased antibody density would lead to an increase in the microarray analysis sensitivity and dynamic range. Studies were completed to determine the sequence characteristics and application process conditions necessary to form robust, uniform surface microsphere coatings. Polarity characteristics throughout the peptoid sequences were studied to determine how the choice and placement of charged functional groups effects self-assembly. The affect of secondary structure on the formation of microspheres was also studied, as we believe aromatic stacking mechanisms between the molecule’s helical faces help with microsphere stabilization. Through this research, it was found that peptoids with a combination of chiral and aromatic side-chains accounting for at least twothirds of the residues contain the helical and hydrophobic characteristics necessary to form selfassembled microspheres. An additional study was completed to investigate the effects of application process conditions on the uniformity of the coatings. We have shown that peptoid based microspheres have the ability to form uniform surface coatings under normal processing conditions, and are an exciting new avenue for early disease detection. This thesis is approved for recommendation to the Graduate Council.
The Sustainability and Cost-Effectiveness of Water Storage Projects on Canterbury Rivers: The Opihi River Case

There is an increasing demand for water resources in the Canterbury region. The impact of this demand has lead to unacceptable minimum river flows, which has resulted in adverse affects to river ecology. In an effort to resolve this problem water storage projects have gained considerable attention. However, in order to consider all values of the impact of water storage projects, a systematic way of implementing an ecosystem services approach is developed. This ecosystem services approach coupled with various appropriate analytical methods are developed for the purposes of evaluating the cost-effectiveness of water storage projects and the sustainability of river systems impacted by water storage projects. For the purposes of evaluating the cost-effectiveness of water storage projects it is argued that cost utility analysis should be applied through an ecosystem services index, which is constructed from the aggregation of normalized indicators that represent each ecosystem service and preferential weights for each ecosystem service. The evaluation of sustainability is considered both according to its weak and strong definitions. Weak sustainability is evaluated by a non-declining ecosystem services index over time. Strong sustainability is evaluated by the elicitation of threshold levels or safe minimum standards where an ecosystem service, as represented by an indicator, should not pass below. These analytical methods developed are subsequently applied to the Opihi River, which is a river system located in Canterbury that has been hydrologically modified and impounded by the Opuha Dam scheme. The application of the analytical methods to the Opihi River provides a few preliminary results. Further data collection is required to fully determine the cost-effectiveness of the Opuha Dam and the sustainability of the Opihi River impacted by the dam scheme.
Finding the mother in the mother city : reclaiming Cape Town through design

The current macro-trend of unprecedented population growth in developing countries, specifically in the global South, calls for an increased focus on urban planning and development. To this end, many discussions in urban planning and design acknowledge the need for cities to be managed creatively in a way that empowers their inhabitants and creates better living conditions for them. In its successful bid to be the World Design Capital in 2014, Cape Town, South Africa's mother city, has embraced the idea of being a creative city, with a specific mission to improve community cohesion to rebuild the city, to reconnect communities by means of infrastructural enhancement and to reposition the city for the knowledge economy. By drawing specifically on the writings of Henri Lefebvre, this paper aligns the Cape Town World Design Capital bid and subsequent designation with the concept of the right to the city. One characteristic of Lefebvre's notion of the right to the city is not about being nostalgic for the past but rather, like the theme of Cape Town's bid, to Live Design. Transform Life, is anticipatory of a better urban situation. Following from this, the article explores the way in which design may serve as a driver to facilitate Lefebvre's notion of the right to the city in Cape Town and it also considers the implications of a design capital city within the context of an African creative economy.
JPE 17-2-9 Dual EKF-Based State and Parameter Estimator for a LiFePO 4 Battery Cell

This work presents the design of a dual extended Kalman filter (EKF) as a state/parameter estimator suitable for adaptive state-of-charge (SoC) estimation of an automotive lithium–iron–phosphate (LiFePO4) cell. The design of both estimators is based on an experimentally identified, lumped-parameter equivalent battery electrical circuit model. In the proposed estimation scheme, the parameter estimator has been used to adapt the SoC EKF-based estimator, which may be sensitive to nonlinear map errors of battery parameters. A suitable weighting scheme has also been proposed to achieve a smooth transition between the parameter estimator-based adaptation and internal model within the SoC estimator. The effectiveness of the proposed SoC and parameter estimators, as well as the combined dual estimator, has been verified through computer simulations on the developed battery model subject to New European Driving Cycle (NEDC) related operating regimes.
Automated wavelength recovery for silicon photonics

In 2020, 1Tb/s on-/off-chip communication bandwidth and ~100fJ/bit total energy in a point to point link is predicted by Moore's law for high performance computing applications. These requirements are pushing the limits of on-chip silicon CMOS transistors and off-chip VCSELs technology. The major limitation of the current systems is the lack of ability to enable more than a single channel on a single wire/fiber. Silicon photonics, offering a solution on the same platform with CMOS technology, can enable Wavelength Division Multiplexed (WDM) systems. However, Silicon photonics has to overcome the wafer level, fabrication variations and dynamic temperature fluctuations, induced by processor cores with low-energy high-speed resonators. In this work, we offer a solution, called as Automated Wavelength Recovery (AWR), to these limitations. In order to demonstrate AWR, we design and demonstrate high performance active silicon resonators. A microdisk modulator achieved open eye-diagrams at a data rate of 25Gb/s and error-free operation up to 20Gb/s. A thermo-optically tunable microdisk modulator with Low power modulation (1 If/bit) at a data rate of 13-Gb/s, a 5.8-dB extinction ratio, a 1.22-dB insertion loss and a record-low thermal tuning (4.9-[mu].W/GHz) of a high-speed modulator is achieved. We demonstrated a new L-shaped resonant microring (LRM) modulator that achieves 30 Gb/s error-free operation in a compact (< 20 [mu]m²) structure while maintaining single-mode operation, enabling direct WDM across an uncorrupted 5.3 THz FSR. We have introduced heater elements inside a new single mode filter, a LRM filter, successfully. The LRM filter achieved high-efficiency (3.3[mu]W/GHz) and high-speed ([tau]f ~1.6 [mu]s) thermal tuning and maintained signal integrity with record low thru to drop power penalty (<1.1 dB) over the 4 THz FSR and <0.5dB insertion loss. We have integrated a heater driver and adiabatic resonant microring (ARM) filter in a commercial bulk CMOS deep-trench process for the first time. The proposed AWR algorithm is implemented with an ARM multiplexer. An advanced method for AWR is also introduced and demonstrated with passive resonators.
Effect of Fragmentation and Habitat Type on Coastal Nekton in Mississippi

ii ACKNOWLEDGMENTS . iv DEDICATION . v LIST OF TABLES . vii LIST OF ILLUSTRATIONS . viii CHAPTER I INTRODUCTION . 10 Hypotheses . 15 CHAPTER II METHODS AND APPROACH . 32 Sampling Design . 32 Physicochemical Data . 33 Nekton Collections. 33 Patch Data . 35 Fragmentation Index . 35 Statistical Analyses . 35 CHAPTER III RESULTS . 38 CHAPTER IV – DISCUSSION. 41 REFERENCES . 46