Miracle-dz/UniFAR-FTUs huggingface dataset:
False positives or hidden dimensions : the definition and measurement of child poverty

Poverty is often associated with a shortage of financial means as a result of which basic needs such as food, housing and education cannot be provided. On the basis of Vietnamese data this dissertation shows that children in families with sufficient financial means do not necessarily go to school or drink clean water. Contrarily, children who lack certain basic provisions do not necessarily live in a family with a shortage of financial means. This result has consequences both for the way we can create an adequate image of child poverty, and for the policy that is needed to combat child poverty.
Hyperpolarization-activated graded persistent activity in the prefrontal cortex

We describe a phenomenon of hyperpolarization-activated graded persistent activity (HAGPA) in prefrontal cortex neurons. Successive hyperpolarizing pulses induced increasingly higher rates of tonic firing that remained stable for tens of seconds, allowing the neuron to retain a memory of the previous history of stimulation. This phenomenon occurred at the cellular level and in the absence of neuromodulators. Neurons with HAGPA had a sag during hyperpolarization, and blocking h-current eliminated the sag and prevented HAGPA, suggesting that the activation of this hyperpolarization-activated cationic current was necessary for the occurrence of the phenomenon. A single-neuron biophysical model including h-current modulation by intracellular calcium was able to display HAGPA. This form of neuronal memory not only allows the transformation of inhibition into an increase of firing rate, but also endows neurons with a mechanism to compute the properties of successive inputs into persistent activity, thus solving a difficult computational problem.
'The Time vs. Money Effect': Shifting Product Attitudes and Decisions through Personal Connection

The results of five field and laboratory experiments reveal a "time versus money effect" whereby activating time (vs. money) leads to a favorable shift in product attitudes and decisions. Because time increases focus on product experience, activating time (vs. money) augments one's personal connection with the product, thereby boosting attitudes and decisions. However, because money increases the focus on product possession, the reverse effect can occur in cases where merely owning the product reflects the self (i.e., for prestige possessions or for highly materialistic consumers). The time versus money effect proves robust across implicit and explicit methods of construct activation.
Individual and Combined Effects of Azospirillum brasilense and Pseudomonas fluorescens on Biomass Yield and Ajmalicine Production in Catharanthus roseus

In the present study, the effect of different plant growth promoting rhizobacteria (PGPR) like Azospirillum brasilense and Pseudomonas fluorescens on growth parameters and the production of terpenoid indole alkaloids are investigated in two varieties 'rosea' and 'alba' of Catharanthus roseus. The production of IAA by the PGPR has taken as main criteria in the selection of PGPRs for the seed and seedling treatments. The maximum ajmalicine content recorded in the combined inoculation of Azospirillum brasilense + Pseudomonas fluorescens in 'rosea' variety on 90 DAP (0.700 mg g dry weight). 1 The control plants performed far lower than the individual and combined inoculation of PGPR treatments in both seed and seedling treatment in 'rosea' and 'alba' varieties. From the results of this investigation, it can be concluded that, the seed priming and seedling treatments of native PGPRs can be used as a good tool in the enhancement of biomass yield and alkaloid contents in medicinal plant cultivation, as it provides an eco- friendly approach.
Algorithms and Complexity Results for Exact Bayesian Structure Learning

Bayesian structure learning is the NP-hard problem of discovering a Bayesian network that optimally represents a given set of training data. In this paper we study the computational worst-case complexity of exact Bayesian structure learning under graph theoretic restrictions on the super-structure. The super-structure (a concept introduced by Perrier, Imoto, and Miyano, JMLR 2008) is an undirected graph that contains as subgraphs the skeletons of solution networks. Our results apply to several variants of score-based Bayesian structure learning where the score of a network decomposes into local scores of its nodes. Results: We show that exact Bayesian structure learning can be carried out in non-uniform polynomial time if the super-structure has bounded treewidth and in linear time if in addition the super-structure has bounded maximum degree. We complement this with a number of hardness results. We show that both restrictions (treewidth and degree) are essential and cannot be dropped without loosing uniform polynomial time tractability (subject to a complexity-theoretic assumption). Furthermore, we show that the restrictions remain essential if we do not search for a globally optimal network but we aim to improve a given network by means of at most k arc additions, arc deletions, or arc reversals (k-neighborhood local search).
Adapting mobile medical information search to low-resourced areas

Providing good medical care in low-resourced areas is a challenge faced by many low and middle income countries. Continuously improving mobile communication infrastructure in these areas is however providing the opportunity to improve the access to medical information using mobile phones in these areas. In particular, physicians and community health workers based in low-resourced areas could be the first to gain benefit from this technology. This paper considers the implementation of a medical information search engine accessed on mobile devices for low-resourced areas. The challenges faced in low-resourced areas are covered, and adaptation of mobile medical information search for these areas is discussed. Finally, the impact that this technology can have in low-resourced areas is presented.
Valuation Effects Of Accounting Information Availability

In this paper, we extend comparative value relevance research by examining patterns in the value relevance of accounting numbers as a function of the month in which market values are observed. We stimate the residual income model on a sample of stock-exchange listed companies from Germany and France and find dramatically divergent patterns of fit. In France, accounting numbers have strong relevance for market valuation after publication of annual reports in February or March. In Germany, accounting numbers have stronger relevance during the fiscal year. We term the two effects forecast and coincident relevance, respectively. We argue that the divergence in patterns of fit may be a result of limited interim reporting in France before adoption of IFRS.
A population analysis for hierarchical data structures

A new method termed population analysis is presented for approximating the distribution of node occupancies in hierarchical data structures which store a variable number of geometric data items per node. The basic idea is to describe a dynamic data structure as a set of populations which are permitted to transform into one another according to certain rules. The transformation rules are used to obtain a set of equations describing a population distribution which is stable under insertion of additional information into the structure. These equations can then be solved, either analytically or numerically, to obtain the population distribution. Hierarchical data structures are modeled by letting each population represent the nodes of a given occupancy. A detailed analysis of quadtree data structures for storing point data is presented, and the results are compared to experimental data. Two phenomena referred to as aging and phasing are defined and shown to account for the differences between the experimental results and those predicted by the model. The population technique is compared with statistical methods of analyzing similar data structures.
Aligning the Parasite Experiment Ontology and the Ontology for Biomedical Investigations Using AgreementMaker

Tremendous amounts of data exist in life sciences along with many bio-ontologies. Though these databases contain important information about gene, proteins, functions, etc., this information is not well utilized due to the heterogeneous formats of these databases. Therefore, ontology alignment (OA) is now very critical for life science domain. Our work utilizes AgreementMaker for OA and describes results, difficulties faced in the process, and lessons learned. We aligned two real-world ontologies, the Parasite Experiment Ontology (PEO) and the Ontology for Biomedical Investigations (OBI). The former is more applicationoriented and the latter is a reference ontology for any biomedical or clinical investigations. Our study led to several enhancements to AgreementMaker: annotation profiling, mapping provenance information, and tailored lexicon building. These enhancements, which are applicable to any OA system, greatly improved the alignment of these real world ontologies, producing 90% precision with 60% recall from the BSM, the Base Similarity Matcher, and 57% precision with 67% recall from the PSM, the Parametric String Matcher, both using lexicon lookup for synonyms. The mappings obtained through this study are posted on BioPortal site for public use. † Partially supported by NSF Awards IIS–0513553 and IIS-0812258 and by the Intelligence Advanced Research Projects Activity (IARPA) via Air Force Research Laboratory (AFRL) contract number FA8650-10-C-7061. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of IARPA, AFRL, or the U.S. Government.
The design and implementation of a wireless healthcare application for WSN-enabled IMS environments

The IP Multimedia Subsystem (IMS) is one of the key components of third generation (3G) networks, while Wireless Sensor Networks (WSNs) are an emerging type of networks formed by a set of distributed sensor nodes that collaborate to monitor environmental and physical conditions. Combining the capabilities of WSNs and the IMS opens the door to a wide range of personalized and adaptive value added services for 3G users. We have previously proposed a solution for WSN/IMS integration. This solution enriches the IMS architecture with context acquisition and management components, and enables access to those capabilities via standard IMS interfaces. Wireless healthcare is one of the important application areas that can benefit from the combined IMS/WSNs capabilities. In this paper, we focus on this application area and present a case study on the design and implementation of a context-aware IMS wireless healthcare application, that leverages the capabilities of our WSN/IMS integration solution. The application's detailed scenario and IMS deployment architecture are presented and a prototype is built and tested using Ericsson's IMS simulated environment.
Large-scale horizontal flows in the solar photosphere - II. Long-term behaviour and magnetic activity response

We have developed a method to map large-scale horizontal velocity fields in the solar photosphere. The method was developed, tuned, and calibrated using synthetic data. Now, we apply the method to the series of Michelson Doppler Imager (MDI) Dopplergrams covering almost one solar cycle to generate the information about the long-term behaviour of surface flows. Our method clearly reproduces the widely accepted properties of mean flow field components, such as torsional oscillations and a pattern of meridional circulation. We also performed a period analysis, however due to the data series length and large gaps we did not detect any significant periods. The relation between the magnetic activity and the mean zonal motion is studied. We found evidence that the emergence of compact magnetic regions locally accelerates the rotation of the supergranular pattern in their vicinity and that the presence of magnetic fields generally decelerates the rotation in the equatorial region. Our results show that active regions in the equatorial region emerge, exhibiting a constant velocity (faster by $60 \pm 9$ m s -1 than the Carrington rate), suggesting that they emerge from the base of the surface radial shear at $0.95\ R_\odot$, disconnect from their magnetic roots, and slow down during their evolution.
CHAOS AND COMPLEXITY THEORY : SPECIAL INTEREST NEWSLETTER FALL 2000

In one of our SIG sessions at New Orleans, an interesting discussion took place about the notion of learning as something taking place between participants in interaction within the constraints present. To me, those constraints, when taken as constraints through other people we connect with, suggested a rather limiting view on learning and development. In my view, constraints imply something static (cf. Valsiner, 1998). Such a description, without involving persons as active, engaged participants, embodies in my opinion a Œspectator theory‚ (Dewey, 1960, see Doll, 1993; Phillips, 1995). Wanting a different description of social learning, as an active constructive process of dynamic complexity, one had better describe it in terms of reciprocal influences by reciprocal adjustments between interacting actors (Kinderman & Skinner, 1992; Rommetveit, 1992). Interaction described as a jointly organized activity. I call this kind of learning in interaction reciprocal learning (cf. Salomon & Perkins, 1998).
Implementation of INS Using TMS320f2812 DSP Processor

— Inertial Navigation System (INS) is used in accurate attitude, position, velocity determination in wide range of applications. Usage of high performance INS is limited by its relatively high cost. Inertial sensors based on MEMS technology have recently become commercially available at lower costs. MEMS based INS is also immune to signal jamming, spoofing and blockage vulnerabilities. Commercial off the shelf low cost inertial sensor errors are increasing with time. Hence GPS can be used to update and correct the INS measures. INS mainly used to bridge the gaps during GPS outages. In this paper MEMS based Attitude Heading Reference System (AHRS) is used to determine the attitude and distances travelled by the system in North East Down (NED) frame. All the computations are performed in TMS320f2812 DSP Processor using dead reckoning methods in real time conditions.
Anaphoric resolution of Chinese personal pronouns based on the focus-set and DRT

Anaphora is a common phenomenon in a natural language. It plays a large role in the coherence of a text and is a subject of active study in computational linguistics. This paper puts forward several anaphora resolution algorithms for the personal pronouns of written Chinese based on Focus-set Theory and DRT. The strength of our methods lies in the emphasis on the construction of Focus-set and in the dynamic application of syntax knowledge, case grammar and discourse representation theory (DRT). Algorithms were examined by a large Chinese natural language corpus at each stage. The results show that our system of anaphoric resolution algorithms is effective.
Quantifying focal mechanism heterogeneity for fault zones in central and southern California

SUMMARY We present a statistical analysis of focal mechanism orientations for nine California fault zones with the goal of quantifying variations of fault zone heterogeneity at seismogenic depths. The focal mechanism data are generated from first motion polarities for earthquakes in the time period 1983–2004, magnitude range 0–5, and depth range 0–15 km. Only mechanisms with good quality solutions are used. We define fault zones using 20 km wide rectangles and use summations of normalized potency tensors to describe the distribution of double-couple orientations for each fault zone. Focal mechanism heterogeneity is quantified using two measures computed from the tensors that relate to the scatter in orientations and rotational asymmetry or skewness of the distribution. We illustrate the use of these quantities by showing relative differences in the focal mechanism heterogeneity characteristics for different fault zones. These differences are shown to relate to properties of the fault zone surface traces such that increased scatter correlates with fault trace complexity and rotational asymmetry correlates with the dominant fault trace azimuth. These correlations indicate a link between the long-term evolution of a fault zone over many earthquake cycles and its seismic behaviour over a 20 yr time period. Analysis of the partitioning of San Jacinto fault zone focal mechanisms into different faulting styles further indicates that heterogeneity is dominantly controlled by structural properties of the fault zone, rather than time or magnitude related properties of the seismicity.
Favorable outcome of primary mediastinal large B-cell lymphoma in a single institution: the British Columbia experience.

BACKGROUND Primary mediastinal large B-cell lymphoma (PMBCL) is a distinct clinico-pathological subtype of diffuse large B-cell lymphoma (DLBCL). The optimal treatment is unknown, with some studies suggesting a superior outcome with dose-intensive chemotherapy regimens, and the role of radiotherapy remains ill-defined. PATIENTS AND METHODS The British Columbia Cancer Agency lymphoma database was searched and records reviewed to identify those patients presenting with a prominent mediastinal mass and considered to be PMBCL based on the current REAL/WHO classifications. Patients were treated based on era-specific BCCA guidelines (1980-1992 MACOPB/VACOPB; 1992-2001 CHOP-type; 2001-present CHOP-R). Beginning in January 1998 involved-field radiotherapy was recommended to be routinely administered following chemotherapy. Prior to this, use of radiotherapy was individualized in advanced disease. RESULTS In total, 153 patients with newly diagnosed PMBCL were identified between 28 July 1980 and 30 June 2003. The median age was 37 years (range 13-82) and the majority had stage I/II (74%), bulky mediastinal disease (75%). Overall (OS) and progression-free (PFS) survival at 5 years for the entire cohort were 75% and 69%, respectively. In direct comparison with a cohort of patients with DLBCL (n = 1273), OS (P = 10(-4)) and PFS (P = 0.0001) favored PMBCL. The age-adjusted International Prognostic Index (aaIPI) was not predictive of survival (P = 0.18). Five-year OS in patients < 65 years old treated with MACOPB/VACOPB, CHOP-R and CHOP-type was 87%, 81% and 71% respectively (P = 0.048). In pair-wise survival comparisons, only MACOPB/VACOPB and CHOP-type treated patients were significantly different (P = 0.016). In Cox multiple regression analysis, poor performance status remained the only predictor of survival, with treatment received demonstrating a trend to worse outcome for patients treated with CHOP-type regimens (P = 0.09). In an intention-to-treat analysis comparing the era before radiotherapy was routinely administered with after, there was no significant difference in 5-year PFS (74% versus 62%; P = 0.09) or OS (78% versus 69%; P = 0.14). CONCLUSIONS In this single institution, population-based retrospective study, we found that PMBCL patients have excellent survival rates and a distinct plateau is observed in PFS, in striking comparison to DLBCL. The aaIPI was not predictive of survival in this population, suggesting that other prognostic models may be better suited for risk stratification. Dose-intensified chemotherapy with MACOPB or VACOPB demonstrated a trend to superior outcome over CHOP-type chemotherapy. However, further randomized studies are needed and the impact of rituximab on these comparisons must be considered. Finally, the routine addition of radiotherapy does not improve survival.
Traumatic Brain Injury and Neuronal Functionality Changes in Sensory Cortex

Traumatic brain injury (TBI), caused by direct blows to the head or inertial forces during relative head-brain movement, can result in long-lasting cognitive and motor deficits which can be particularly consequential when they occur in young people with a long life ahead. Much is known of the molecular and anatomical changes produced in TBI but much less is known of the consequences of these changes to neuronal functionality, especially in the cortex. Given that much of our interior and exterior lives are dependent on responsiveness to information from and about the world around us, we have hypothesized that a significant contributor to the cognitive and motor deficits seen after TBI could be changes in sensory processing. To explore this hypothesis, and to develop a model test system of the changes in neuronal functionality caused by TBI, we have examined neuronal encoding of simple and complex sensory input in the rat’s exploratory and discriminative tactile system, the large face macrovibrissae, which feeds to the so-called “barrel cortex” of somatosensory cortex. In this review we describe the short-term and long-term changes in the barrel cortex encoding of whisker motion modeling naturalistic whisker movement undertaken by rats engaged in a variety of tasks. We demonstrate that the most common form of TBI results in persistent neuronal hyperexcitation specifically in the upper cortical layers, likely due to changes in inhibition. We describe the types of cortical inhibitory neurons and their roles and how selective effects on some of these could produce the particular forms of neuronal encoding changes described in TBI, and then generalize to compare the effects on inhibition seen in other forms of brain injury. From these findings we make specific predictions as to how non-invasive extra-cranial electrophysiology can be used to provide the high-precision information needed to monitor and understand the temporal evolution of changes in neuronal functionality in humans suffering TBI. Such detailed understanding of the specific changes in an individual patient’s cortex can allow for treatment to be tailored to the neuronal changes in that particular patient’s brain in TBI, a precision that is currently unavailable with any technique.
Zinc-specific Autometallographic In Vivo Selenium Methods: Tracing of Zinc-enriched (ZEN) Terminals, ZEN Pathways, and Pools of Zinc Ions in a Multitude of Other ZEN Cells

In vivo-applied sodium selenide or sodium selenite causes the appearance of zinc-selenium nanocrystals in places where free or loosely bound zinc ions are present. These nanocrystals can in turn be silver enhanced by autometallographic (AMG) development. The selenium method was introduced in 1982 as a tool for zinc-ion tracing, e.g., in vesicular compartments such as synaptic vesicles of zinc-enriched (ZEN) terminals in the central nervous system, and for visualization of zinc ions in ZEN secretory vesicles of, e.g., somatotrophic cells in the pituitary, zymogene granules in pancreatic acinar cells, beta-cells of the islets of Langerhans, Paneth cells of the crypts of Lieberkühn, secretory cells of the tubuloacinar glands of prostate, epithelium of parts of ductus epididymidis, and osteoblasts. If sodium selenide/selenite is injected into brain, spinal cord, spinal nerves containing sympathetic axons, or intraperitoneally, retrograde axonal transport of zinc-selenium nanocrystals takes place in ZEN neurons, resulting in accumulation of zinc-selenium nanocrystals in lysosomes of the neuronal somata. The technique is, therefore, also a highly specific tool for tracing ZEN pathways. The present review includes an update of the 1982 paper and presents evidence that only zinc ions are traced with the AMG selenium techniques if the protocols are followed to the letter.