Miracle-dz/UniFAR-FTUs huggingface dataset:
Prior help, ego development, and helping behavior.

Cox, NELL. Prior Help, Ego Development, and Helping Behavior. CmLD DEVELOPMENT, 1974, 45, 594-603. The purpose of the study was to investigate in young adolescents the effects of level of ego development and prior help on helping behavior. 79 eighth-grade middle-class boys served as subjects. Each subject completed Loevinger's Sentence Completion Test as a measure of ego development, participated in an experimental situation, and answered interview questions. Amount of prior help was positively related to helping behavior in the experimental situation. Ego development and race were not related to help in the experimental situation or to extracurricular helping behavior.
OOPS! (OntOlogy Pitfall Scanner!): An On-line Tool for Ontology Evaluation

This paper presents two contributions to the field of Ontology Evaluation. First, a live catalogue of pitfalls that extends previous works on modeling errors with new pitfalls resulting from an empirical analysis of over 693 ontologies. Such a catalogue classifies pitfalls according to the Structural, Functional and Usability-Profiling dimensions. For each pitfall, we incorporate the value of its importance level (critical, important and minor) and the number of ontologies where each pitfall has been detected. Second, OOPS! (OntOlogy Pitfall Scanner! ), a tool for detecting pitfalls in ontologies and targeted at newcomers and domain experts unfamiliar with description logics and ontology implementation languages. The tool operates independently of any ontology development platform and is available online. The evaluation of the system is provided both through a survey of users' satisfaction and worldwide usage statistics. In addition, the system is also compared with existing ontology evaluation tools in terms of coverage of pitfalls detected.
Quantitative Glycomics Strategies*

The correlations between protein glycosylation and many biological processes and diseases are increasing the demand for quantitative glycomics strategies enabling sensitive monitoring of changes in the abundance and structure of glycans. This is currently attained through multiple strategies employing several analytical techniques such as capillary electrophoresis, liquid chromatography, and mass spectrometry. The detection and quantification of glycans often involve labeling with ionic and/or hydrophobic reagents. This step is needed in order to enhance detection in spectroscopic and mass spectrometric measurements. Recently, labeling with stable isotopic reagents has also been presented as a very viable strategy enabling relative quantitation. The different strategies available for reliable and sensitive quantitative glycomics are herein described and discussed.
Revealing Class Structure with Zoomable Concept Lattices

We apply formal concept analysis to the understanding, analysis, and code inspection of individual JAVA classes. A concept is a maximal set of methods and fields such that each field is used by every method and each method uses every field. A real life case study shows that the mathematical lattice of concepts is a valuable means in studying the interface of a large class, understanding and discovering errors in its structure, and in performing an effective inspection of its code.
/ 0301150 AEI-2003-007 Conformal Dimensions of Two-Derivative BMN Operators

We compute the anomalous dimensions of BMN operators with two covariant derivative impurities at the planar level up to first order in the effective coupling λ′. The result equals those for two scalar impurities as well as for mixed scalar and vector impurities given in the literature. Though the results are the same, the computation is very different from the scalar case. This is basically due to the existence of a non-vanishing overlap between the derivative impurity and the “background” field Z. We present details of these differences and their consequences.
Localization of multiple unknown RF sources by combining a power monitoring network and a guided moving sensor under constraints

This paper presents a Sequential Monte Carlo (SMC) method for the localization of an unknown number of RF sources with unknown transmit power. The proposed method uses Received Signal Strength (RSS) measurements taken by a network of static sensors and a guided moving sensor. A constraint is imposed on the number of trips that the moving sensor is allowed to make for the confirmation of the existence and the location of a new source. In order to identify sources of varying transmission power, the SMC algorithm incorporates an adaptive RSS threshold detection method. Simulations demonstrate the improvement in the performance of the proposed adaptive versus a fixed threshold algorithm, under the constraints of a limited number of sensor trips. Moreover, source identification performance is examined using different number of sensor trips and static sensors.
Perindopril for improving cardiovascular events

(unported, v3.0) License. The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. Permissions beyond the scope of the License are administered by Dove Medical Press Limited. Information on how to request permission may be found at: http://www.dovepress. com/permissions.php Vascular Health and Risk Management 2014:10 539–548 Vascular Health and Risk Management Dovepress
Linear Image Representation under Close Lighting for Shape Reconstruction

In this paper, we propose a method for representing intensity images of objects illuminated by near point light sources. Our image representation model is a linear model, and thus, the 3D shape of objects can be recovered linearly from intensity images taken from near point light sources. Since our method does not require the integration of surface normals to recover 3D shapes, the 3D shapes can be recovered, even if they are not smooth unlike the standard shape from shading methods. The experimental results support the efficinecy of the proposed method.
An Empowerment Model on Reconstituting the Meanings of Divorce

This article presents an empowerment model for working with Chinese divorced women through the reconstitution of meaning. Informed by feminist poststructuralism, the social worker facilitates the reconstitution of personal meanings of divorce held by Chinese divorced women by revealing the discursive roots of meanings and by interrogating with the women the meanings constituted by historical and social discourses on divorce in Hong Kong. The intervention process involves exploring positive meanings of divorce, challenging cultural oppression, exposing the discursive roots, and choosing alternative identities.
The impact of late career job loss on myocardial infarction and stroke: a 10 year follow up using the health and retirement survey

Background: Involuntary job loss is a major life event associated with social, economic, behavioural, and health outcomes, for which older workers are at elevated risk. Objective: To assess the 10 year risk of myocardial infarction (MI) and stroke associated with involuntary job loss among workers over 50 years of age. Methods: Analysing data from the nationally representative US Health and Retirement Survey (HRS), Cox proportional hazards analysis was used to estimate whether workers who suffered involuntary job loss were at higher risk for subsequent MI and stroke than individuals who continued to work. The sample included 4301 individuals who were employed at the 1992 study baseline. Results: Over the 10 year study frame, 582 individuals (13.5% of the sample) experienced involuntary job loss. After controlling for established predictors of the outcomes, displaced workers had a more than twofold increase in the risk of subsequent MI (hazard ratio (HR) = 2.48; 95% confidence interval (CI) = 1.49 to 4.14) and stroke (HR = 2.43; 95% CI = 1.18 to 4.98) relative to working persons. Conclusion: Results suggest that the true costs of late career unemployment exceed financial deprivation, and include substantial health consequences. Physicians who treat individuals who lose jobs as they near retirement should consider the loss of employment a potential risk factor for adverse vascular health changes. Policy makers and programme planners should also be aware of the risks of job loss, so that programmatic interventions can be designed and implemented to ease the multiple burdens of joblessness.
Dynamic data rebalancing in Hadoop

Current implementation of Hadoop is based on an assumption that all the nodes in a Hadoop cluster are homogenous. Data in a Hadoop cluster is split into blocks and are replicated based on the replication factor. Service time for jobs that accesses data stored in Hadoop considerably increases when the number of jobs is greater than the number of copies of data and when the nodes in Hadoop cluster differ much in their processing capabilities. This paper addresses dynamic data rebalancing in a heterogeneous Hadoop cluster. Data rebalancing is done by replicating data dynamically with minimum data movement cost based on the number of incoming parallel mapreduce jobs. Our experiments indicate that as a result of dynamic data rebalancing service time of mapreduce jobs were reduced by over 30% and resource utilization is increased by over 50% when compared against Hadoop.
Arithmetic around the bit heap

A bit heap is a data structure that holds the unevaluated sum of an arbitrary number of bits, each weighted by some power of two. Any multivariate polynomial of binary inputs can be expressed as a bit heap whose bits are simple boolean functions of the input bits. For many large arithmetic designs, viewing them as bit heaps is more relevant than viewing them as a composition of adders and multipliers. It leads to better global optimization at both the algebraic level and the circuit level. However, this notion needs to be supported by tools. This article therefore discusses a generic software framework for the definition, optimization and compression of bit heaps. It is specifically directed towards FPGAs, where complex and application-specific arithmetic circuits must be developped in little time. For this purpose, the textbook notion of a bit array is refined in several ways. Firstly, a bit heap should accept bits arriving at various instants in circuit time, and the bit heap compression process must take this timing into account. Secondly, the DSP blocks of recent FPGAs must be integrated in the bit heap view. Thirdly, the management of signed bit heaps is detailed, and shown to entail no overhead. Finally, a new family of elementary compressors on FPGAs improves upon the state of the art.
Utility of participatory rural appraisal for health needs assessment and planning.

BACKGROUND While poverty and lack of life opportunities are root causes of a high burden of disease and infant and maternal mortality, inadequate health care contributes heavily. Often those who are left without care are those who need it most. Existing health services are managed without taking into account acceptance and need perspectives. This further reduces the effectiveness of and equity in health care. In order to guide the planning of reproductive health services by a national NGO, health needs were assessed in a district in Sindh using a combination of participatory rural appraisal (PRA) and qualitative and quantitative research methods. PRA is considered as a better framework to assess, analyse and develop programs with communities. OBJECTIVE The objective of PRA was to initiate community involvement and to understand the needs of health care from a community perspective. METHODOLOGY PRA was conducted with groups of men and women from three rural areas in a district of Sindh, Pakistan using a life cycle framework. The community members identified various stages of their life with the associated health issues. RESULTS This research was empowering to community members as it facilitated community involvement. The respondents took charge of the process of identification of health needs at PRA sessions. PRA helped identify health problems considered prevalent and important by the community. More importantly, it helped potential service providers and the community to initiate community involvement in planning. CONCLUSION PRA is not only an effective tool for assessment and analysis of health issues but also a vehicle to promote community involvement. Additionally, participatory methods contribute to understand the context of quantitative data generated for planning purposes.
Design and implementation of telescopic OTA in 8 bit second-order continuous-time band-pass Sigma-Delta ADC

In this paper, a technique to design the 8 bit continuous-time band-pass Sigma-Delta converters for 70 MHz is presented. The conversion from discrete-time (z-domain) loop-filter transfer function into continuous-time (s-domain) is done by using Impulse-invariant-transformation. The transconductor-capacitor filter is used to implement continuous-time loop-filter. A latched-type comparator and a TSPC D Flip-flop are being used as the quantizer of the Sigma-Delta converter. The decimation filter is designed by a CIC Filter and an FIR filter for high-speed. A full adder cell and a TSPC D Flip-flop are used as basic building blocks of CIC Filter and FIR Filter. The 8 bit second-order continuous Sigma-Delta converter circuit has been implemented in Cadence using 180nm CMOS technology and the total power consumption is 34.48 mW. At a supply voltage of 3 V, the maximum SNR is measured to be 49.92 dB, ENOB is measured to be 8.29 bites, propagation delay is measured to be 2.56ns which corresponds to a resolution of 8 bits.
Single-cell analysis of endothelial morphogenesis in vivo

Vessel formation has been extensively studied at the tissue level, but the difficulty in imaging the endothelium with cellular resolution has hampered study of the morphogenesis and behavior of endothelial cells (ECs) in vivo. We are using endothelial-specific transgenes and high-resolution imaging to examine single ECs in zebrafish. By generating mosaics with transgenes that simultaneously mark endothelial nuclei and membranes we are able to definitively identify and study the morphology and behavior of individual ECs during vessel sprouting and lumen formation. Using these methods, we show that developing trunk vessels are composed of ECs of varying morphology, and that single-cell analysis can be used to quantitate alterations in morphology and dynamics in ECs that are defective in proper guidance and patterning. Finally, we use single-cell analysis of intersegmental vessels undergoing lumen formation to demonstrate the coexistence of seamless transcellular lumens and single or multicellular enclosed lumens with autocellular or intercellular junctions, suggesting that heterogeneous mechanisms contribute to vascular lumen formation in vivo. The tools that we have developed for single EC analysis should facilitate further rigorous qualitative and quantitative analysis of EC morphology and behavior in vivo. Highlighted article: Following the behaviour of single cells during vessel formation at high spatio-temporal resolution provides insights into endothelial cell migration and lumen formation.
Design and Simulation of a Nanophotonic Traceable Memory Using Localized Energy Dissipation and Hierarchy of Optical Near-Field Interactions

Optical near-field interactions allow energy localization at scales smaller than the diffraction limit of light. They also show intrinsic hierarchical responses, meaning that optical near-fields exhibit different physical behavior at different scales. In this paper, by combining the localized energy dissipation and hierarchy properties, we present an architecture for a novel traceable optical memory that records memory access events to each bit, which is useful in applications such as high-security information transfer. The basic principles are demonstrated by numerical simulations using a metal nanostructure.
Normalization of off-shell boundary state, g-function and zeta function regularization

We consider the model in two dimensions with boundary quadratic deformation (BQD), which has been discussed in tachyon condensation. The partition function of this model (BQD) on a cylinder is determined using the method of zeta function regularization. We show that, for closed channel partition function, a subtraction procedure must be introduced in order to reproduce the correct results at conformal points. The boundary entropy (g-function) is determined from the partition function and the off-shell boundary state. We propose and consider a supersymmetric generalization of the BQD model, which includes a boundary fermion mass term, and check the validity of the subtraction procedure.
Greedy Minimization of Weakly Supermodular Set Functions

This paper defines weak-$\alpha$-supermodularity for set functions. Many optimization objectives in machine learning and data mining seek to minimize such functions under cardinality constrains. We prove that such problems benefit from a greedy extension phase. Explicitly, let $S^*$ be the optimal set of cardinality $k$ that minimizes $f$ and let $S_0$ be an initial solution such that $f(S_0)/f(S^*) \le \rho$. Then, a greedy extension $S \supset S_0$ of size $|S| \le |S_0| + \lceil \alpha k \ln(\rho/\varepsilon) \rceil$ yields $f(S)/f(S^*) \le 1+\varepsilon$. As example usages of this framework we give new bicriteria results for $k$-means, sparse regression, and columns subset selection.
Gtrace: General Trace Program Compatible with EmotionML

GTrace is a program which allows users to create a 'trace' that specifies how they see emotion rising and falling over time. They respond by using a mouse to move a cursor in a 1-D window which appears beside the material to be rated. Users can select from a range of pre-specified scales, or form their own. This version of the program is compatible with the new standard for describing emotion on the web, embodied in EmotionML (http://www.w3.org/TR/emotionml/). It can be downloaded from http://go.qub. ac.uk/GTrace.
The Role of Aggregation in the Measurement of IT-Related Organizational Innovation

The extent of organizational innovation with information technology, an important construct in the IT innovation literature, has been measured in many different ways. Some measures have a narrow focus while others aggregate innovative behaviors across a set of innovations or stages in the assimilation lifecycle. There appear to be some significant tradeoffs involving aggregation: more aggregated measures can be more robust and generalizable and can promote stronger predictive validity, while less aggregated measures allow more context-specific investigations and can preserve clearer theoretical interpretations. This article begins with a conceptual analysis that identifies the circumstances when these tradeoffs are most likely to favor aggregated measures. It is found that aggregation should be favorable when: (1) the researcher's interest is in general innovation or a model that generalizes to a class of innovations, (2) antecedents have effects in the same direction in all assimilation stages, (3) characteristics of organizations can be treated as constant across the innovations in the study, (4) characteristics of innovations can not be treated as constant across organizations in the study, (5) the set of innovations being aggregated includes substitutes or moderate complements, and (6) sources of noise in the measurement of innovation may be present. The article then presents an empirical study using data on the adoption of software process technologies by 608 U.S. based corporations. This study-which had circumstances quite favorable to aggregation- found that aggregating across three innovations within a technology class more than doubled the variance explained compared to single innovation models. Aggregating across assimilation stages also had a slight positive effect on predictive validity. Taken together, these results provide initial confirmation of the conclusions from the conceptual analysis regarding the circumstances favoring aggregation.
Daily Expression Pattern of Protein-Encoding Genes and Small Noncoding RNAs in Synechocystis sp. Strain PCC 6803

ABSTRACT Many organisms harbor circadian clocks with periods close to 24 h. These cellular clocks allow organisms to anticipate the environmental cycles of day and night by synchronizing circadian rhythms with the rising and setting of the sun. These rhythms originate from the oscillator components of circadian clocks and control global gene expression and various cellular processes. The oscillator of photosynthetic cyanobacteria is composed of three proteins, KaiA, KaiB, and KaiC, linked to a complex regulatory network. Synechocystis sp. strain PCC 6803 possesses the standard cyanobacterial kaiABC gene cluster plus multiple kaiB and kaiC gene copies and antisense RNAs for almost every kai transcript. However, there is no clear evidence of circadian rhythms in Synechocystis sp. PCC 6803 under various experimental conditions. It is also still unknown if and to what extent the multiple kai gene copies and kai antisense RNAs affect circadian timing. Moreover, a large number of small noncoding RNAs whose accumulation dynamics over time have not yet been monitored are known for Synechocystis sp. PCC 6803. Here we performed a 48-h time series transcriptome analysis of Synechocystis sp. PCC 6803, taking into account periodic light-dark phases, continuous light, and continuous darkness. We found that expression of functionally related genes occurred in different phases of day and night. Moreover, we found day-peaking and night-peaking transcripts among the small RNAs; in particular, the amounts of kai antisense RNAs correlated or anticorrelated with those of their respective kai target mRNAs, pointing toward the regulatory relevance of these antisense RNAs. Surprisingly, we observed that the amounts of 16S and 23S rRNAs in this cyanobacterium fluctuated in light-dark periods, showing maximum accumulation in the dark phase. Importantly, the amounts of all transcripts, including small noncoding RNAs, did not show any rhythm under continuous light or darkness, indicating the absence of circadian rhythms in Synechocystis.
Learning to distinguish valid textual entailments

This paper proposes a new architecture for textual inference in which finding a good alignment is separated from evaluating entailment. Current approaches to semantic inference in question answering and textual entailment have approximated the entailment problem as that of computing the best alignment of the hypothesis to the text, using a locally decomposable matching score. While this formulation is adequate for representing local (word-level) phenomena such as synonymy, it is incapable of representing global interactions, such as that between verb negation and the addition/removal of qualifiers, which are often critical for determining entailment. We propose a pipelined approach where alignment is followed by a classification step, in which we extract features representing high-level characteristics of the entailment problem, and pass the resulting feature vector to a statistical classifier trained on development data.