Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards the Use of Graph Summaries for Privacy Enhancing Release and Querying of Linked Data

Linked Data has become an important standard to describe meta-data about open government data. At the same time, most government data is not released as Linked Data. One reason for this could be the difficulty of applying privacy enhancing technologies such as differential privacy and private information retrieval to Linked Data. We introduce the idea of graph summaries to function as a schema for Linked Data which is schema-less. This in turn can provide a conceptual bridge for applying differential privacy and private information retrieval to Linked Data.
A PDMS-Assisted Antenna-Sensor for Wireless Measurement of Volatile Organic Compounds

In this work, a polydimethylsiloxane (PDMS)-assisted antenna-sensor is proposed for volatile organic compounds (VOCs) detection. The antenna-sensor consists of a cavity backed slot antenna (CBSA) and a substrate integrated waveguide (SIW) re-entrant cavity resonator (RECR) loaded with a PDMS film. When the VOCs gas penetrates in the pores distributed in the PDMS, the swelling of the PDMS causes a change in the PDMS permittivity, which perturbs the strong E-field in the gap sensing area. The signal is fed into the SIW RECR through the coplanar waveguide (CPW) feed-line, then the signal perturbed by the swelling of PDMS is radiated outward through the slot antenna and finally captured by the external horn antenna. By exposing the sensor to different concentrations of ethanol and isopropyl alcohol (IPA) gases, it is experimentally indicated that the sensor demonstrates great potential for wireless, non-invasive measurement of VOCs at room temperature.
Checking inside the black box: regression testing by comparing value spectra

Comparing behaviors of program versions has become an important task in software maintenance and regression testing. Black-box program outputs have been used to characterize program behaviors and they are compared over program versions in traditional regression testing. Program spectra have recently been proposed to characterize a program's behavior inside the black box. Comparing program spectra of program versions offers insights into the internal behavioral differences between versions. In this paper, we present a new class of program spectra, value spectra, that enriches the existing program spectra family. We compare the value spectra of a program's old version and new version to detect internal behavioral deviations in the new version. We use a deviation-propagation call tree to present the deviation details. Based on the deviation-propagation call tree, we propose two heuristics to locate deviation roots, which are program locations that trigger the behavioral deviations. We also use path spectra (previously proposed program spectra) to approximate the program states in value spectra. We then similarly compare path spectra to detect behavioral deviations and locate deviation roots in the new version. We have conducted an experiment on eight C programs to evaluate our spectra-comparison approach. The results show that both value-spectra-comparison and path-spectra-comparison approaches can effectively expose program behavioral differences between program versions even when their program outputs are the same, and our value-spectra-comparison approach reports deviation roots with high accuracy for most programs.
Full-System Power Analysis and Modeling for Server Environments

The increasing costs of power delivery and cooling, as well as the trend toward higher-density computer systems, have created a growing demand for better power management in server environments. Despite the increasing interest in this issue, little work has been done in quantitatively understanding power consumption trends and developing simple yet accurate models to predict full-system power. We study the component-level power breakdown and variation, as well as temporal workload-specific power consumption of an instrumented power-optimized blade server. Using this analysis, we examine the validity of prior adhoc approaches to understanding power breakdown and quantify several interesting trends important for power modeling and management in the future. We also introduce Mantis, a nonintrusive method for modeling full-system power consumption and providing real-time power prediction. Mantis uses a onetime calibration phase to generate a model by correlating AC power measurements with user-level system utilization metrics. We experimentally validate the model on two server systems with drastically different power footprints and characteristics (a low-end blade and high-end compute-optimized server) using a variety of workloads. Mantis provides power estimates with high accuracy for both overall and temporal power consumption, making it a valuable tool for power-aware scheduling and analysis.
Resource bound certification

Various code certification systems allow the certification and static verification of important safety properties such as memory and control-flow safety. These systems are valuable tools for verifying that untrusted and potentially malicious code is safe before execution. However, one important safety property that is not usually included is that programs adhere to specific bounds on resource consumption, such as running time. We present a decidable type system capable of specifying and certifying bounds on resource consumption. Our system makes two advances over previous resource bound certification systems, both of which are necessary for a practical system: We allow the execution time of programs and their subroutines to vary, depending on their arguments, and we provide a fully automatic compiler generating certified executables from source-level programs. The principal device in our approach is a strategy for simulating dependent types using sum and inductive kinds.
Detecting Epistatic Interactions in Metagenome-Wide Association Studies by metaBOOST

Material and Methods. We recall the definition of epistasis and extend it for metagenomic biomarkers and then we describe the overview of our method metaBOOST and provide detailed information about each step of metaBOOST. Results. We describe the data sources for both simulation studies and real metagenomic datasets. Then, we describe the procedure of simulation studies and provide results for it. After that, we conduct real datasets studies and report the results. Conclusions and Discussion. Finally, we conclude our method and discuss some possible improvements for the future.
Social support and maternal depression from pregnancy to postpartum: the association with positive maternal behaviours among Brazilian adolescent mothers

Adolescent motherhood is a risky situation related to poorer quality of infant caregiving. The lack of social support and increased odds for maternal depression are the main concerns. This study aimed to investigate whether maternal–foetal attachment, social support and maternal depression measured during pregnancy and after birth were associated with postpartum maternal behaviours among Brazilian adolescent mothers. Forty-one adolescent mothers participated (Mage = 16.88 years; SD = 1.60) in the first two waves of a longitudinal study. Both mother and infant behaviours were assessed during videotaped home observations at three months postpartum. Hierarchical regression analysis indicated that positive postpartum maternal behaviours were strongly related to concurrent, rather than prenatal, measures of social support and maternal depression. Infant birth weight was also associated with positive maternal behaviours. Findings contribute to a better understanding of the personal and contextual factors affecting maternal behaviours shortly after birth in a high-risk sample of adolescent mothers.
Cause-related marketing influence on consumer responses: The moderating effect of cause–brand fit

The traditional focus on the study of cause–brand fit in cause-related marketing (CrM) is that it is a mediator variable between consumer perceptions and subsequent responses. However, the literature is not conclusive on this point. This study adopts a new perspective, considering cause–brand fit as a moderator variable rather than a direct antecedent to consumer evaluations of CrM. Thus, the main objective of this research is to examine the moderator role of cause–brand fit in the influence of two corporate associations elicited in CrM (corporate social responsibility (CSR) and corporate ability (CA) associations) on brand attitude and two behavioural consumer responses (purchase intent and support to non-profit organisation (NPO)). For this, a theoretical model is proposed, and it is estimated with a sample of 595 Spanish consumers of insurance and personal hygiene and toiletries products. Results show that when consumers perceive high social cause–brand fit, the positive influence of CSR associations on the formation of brand attitude is amplified. However, when cause–brand fit is low, brand attitude is formed via CA associations. Finally, consumer behavioural responses in favour of the brand (i.e. purchase intent) and social cause (i.e. support to NPO) are reinforced in a context of high cause–brand perceived fit.
The digital divide within the European Union

Purpose – Attempts to define the digital divide and examines the significant differences in, and implications of, the extent of internet connectivity both globally and, more specifically, within the European Union (EU). Design/methodology/approach – The paper was designed using and combining objective data and literature, adding the author's personal experiences and opinions.Findings – After 1 May 2004, when the EU was enlarged from 15 to 25 member states, the digital divide in the EU widened substantially (national connectivity varying from less than 10 to more than 60 per cent), caused by regional lack of technological infrastructure as well as cultural and psychological factors.Research limitations/implications – Many “most recent” national data on internet‐connectivity are two years old.Practical implications – Inequality in internet‐connectivity in the EU will increase dramatically, with all consequences for communication, dissemination of information, economy (e‐commerce! ), etc. Consequently, paralle.
GEO-UAV bistatic circular synthetic aperture radar: Concepts and technologies

This paper proposed an innovative bistatic radar system, named as GEO-UAV bistatic circular synthetic aperture radar (BCSAR). In GEO-UAV BCSAR, the geostationary satellite serves as the transmitter, while the receiver is mounted on the UAV platform moving along a circular trajectory. Combining the technical advantages of GEO SAR and that of UAV platform, GEO-UAV BCSAR benefits from low-cost, high operational flexibility and 3-D imaging ability. This paper introduced its system concept, and discussed its imaging ability and technical challenges. It is shown that the proposed GEO-UAV BCSAR could be able to provide a potential alternative for future remote sensing missions.
Long-term effects of prism adaptation in chronic visual neglect: A single case study

We investigated the effects of long-term training using prism adaptation on a patient with chronic neglect. A positive effect of prism adaptation was apparent on tests of visuo-spatial processing (cancellation, bisection, and grasping), but there was no benefit for neglect on the detection of errors on the contralesional side of words or on the detection the left side of chimeric faces. Across training sessions, the benefit of adaptation on immediate performance decreased, but it increased across sessions and within sessions when performance was tested up to 90 minutes after adaptation. The beneficial effect was maintained up to 1 year posttraining. In later sessions there were also increased negative after-effects following prism adaptation, as training progressed. There was no improvement on tests of mathematical cognition, which comprised an independent deficit in this patient. The data suggest that prolonged prism training can induce long-term adaptive spatial realignment of visuo-motor mappings, ameliorating some aspects of neglect. We discuss the implications for the rehabilitation of neglect and for understanding the neglect syndrome more generally.
Improved nurse-parent communication in neonatal intensive care unit: evaluation and adjustment of an implementation strategy.

AIMS AND OBJECTIVES To evaluate and adjust systematic implementation of guided family-centred care in a neonatal intensive care unit. BACKGROUND Family-centred care is valued in neonatal intensive care units internationally, but innovative strategies are needed to realise the principles. Guided family-centred care was developed to facilitate person-centred communication by bridging the gap between theory and practice in family-centred care. Main mechanisms of guided family-centred care are structured dialogue, reflection and person-centred communication. DESIGN Qualitative and quantitative data were used to monitor participatory implementation of a systematic approach to training and certification of nurses delivering guided family-centred care. METHODS Systematic implementation of guided family-centred care included workshops, supervised delivery and certification. Evaluation and adjustment of nurse adherence to guided family-centred care was conducted by monitoring (1) knowledge, (2) delivery, (3) practice uptake and (4) certification. RESULTS Implementation was improved by the development of a strategic framework and by adjusting the framework according to the real-life context of a busy neonatal care unit. Promoting practice uptake was initially underestimated, but nurse guided family-centred care training was improved by increasing the visibility of the study in the unit, demonstrating intervention progress to the nurses and assuring a sense of ownership among nurse leaders and nonguided-family-centred-care-trained nurses. CONCLUSIONS An adjusted framework for guided family-centred care implementation was successful in overcoming barriers and promoting facilitators. RELEVANCE TO CLINICAL PRACTICE Insights gained from our pioneering work might help nurses in a similar context to reach their goals of improving family-centred care.
Generalized SAR Despeckling Based on DTCWT Exploiting Interscale and Intrascale Dependences

In this letter, dual tree complex wavelet transform (DTCWT)-based despeckling algorithm is proposed for synthetic aperture radar (SAR) images, using multivariate statistical theory. The DTCWT coefficients in each subband are modeled with a multivariate Cauchy probability density function (pdf) which takes into account the statistical dependency between the wavelet coefficients, their neighbors and coefficients across scales. Generalized expressions are derived for the dispersion parameter in the multivariate Cauchy pdf using the fractional moments and for the multivariate maximum a posteriori estimator. Experimental results show that the proposed method based on multivariate Cauchy prior achieves better performance in terms of equivalent number of looks, peak signal-to-noise ratio, and mean structural similarity index matrix.
Lessons learned about prevalence and growth rates of abdominal aortic aneurysms from a 25‐year ultrasound population screening programme

This study aimed to assess how the prevalence and growth rates of small and medium abdominal aortic aneurysms (AAAs) (3·0–5·4 cm) have changed over time in men aged 65 years, and to evaluate long‐term outcomes in men whose aortic diameter is 2·6–2·9 cm (subaneurysmal), and below the standard threshold for most surveillance programmes.
Stress and suicidal ideas in adolescent students in Chandigarh.

BACKGROUND AND OBJECTIVES School students in India have a high stress level and high rate of deliberate self-harm. The present study was conducted to find out stress, psychological health, and presence of suicidal ideas in school students and to find out any correlation between these variables. SETTING AND DESIGN Cross-sectional study conducted on school students in urban area of Chandigarh city. MATERIALS AND METHODS Data was collected on 2402 students from classes VII to XII on socio-demographic scale, 12-item general health questionnaire, Mooney problem checklist, and suicide risk eleven -a visual analogue scale. Statistical analysis used was chi square and Spearman's correlation. RESULTS Out of 2402 students, 1078 (45.8%) had psychological problems, half (1201 students) perceived problems in their role as students, 930 (45%) reported academic decline, 180 (8.82%) students reported that life was a burden, 122 (6%) reported suicidal ideas and 8 (0.39%) students reported suicidal attempt. There was significant correlation between student's perception of life as a burden and class they were studying, mother's working status, psychological problems and problems students experienced in relation to study, peers, future planning and with parents. CONCLUSIONS Students with academic problems and unsupportive environment at home perceived life as a burden and had higher rates of suicidal ideations.
A sociological perspective

We argue there is still much confusion about what is meant by cooperative work, and therefore what is meant by CSCW. It does not arise simply where more than one person is involved, and other attempts to delimit the field do not succeed. Since all work is socially organised, it wOl:Jld seem that all work potentially falls within the CSCW domain. If so, then (i) it would not be confined to a particular class of system ('groupware'); (ii) it would not be a small specialism bUl would extend Virtually throughout system design; and (iii) its interdisciplinary character would affect large areas of its contributing disciplines. We defend these consequences, and argue that CSCW is therefore more akin to a paradigm shift for its contributing disciplines than a particular subdiscipline in itself. We also consider not what CSCW is but how it has arisen in terms of a political economy the interests of researchers, funding institutions and clients and a set of ideologies. This sets out a position for contributing disciplines, but leaves open the detailed content of interdisciplinary relations.
The European Security Continuum and the EU as an International Security Provider

The European Union has long been seen as a distinctive or sui generis actor in international politics, epitomised by the notions of civilian or normative power, or more recently by the “Comprehensive Approach”. However, these conceptualisations of the EU as a distinctive international security provider are being challenged by the blurring of the traditional internal-external security divide. The threats and challenges identified in the various EU security strategies increasingly transcend geographic and bureaucratic boundaries, creating a European security continuum, which complicates the conceptualisation and operationalisation of the EU as a security provider. Significant friction continues to exist in the formulation and implementation of security policy as EU institutions and capabilities struggle to overcome the traditional architecture separating internal and external security. In parallel, the cross-fertilisation of internal and external security norms and practices undermines understandings of the EU's role as a normative international security provider.
International Conference on Control and Automation WeD 5-2 Guangzhou , CHINA-May 30 to June 1 , 2007 Fault Detection for Networked Control Systems with Time delays Based on Unknown Input Observer *

In this paper, a fault detection method for NCSs with time delays is proposed. Under some equivalent transformations, the time delays of NCSs can be regarded as an unknown input. Using the unknown input observer (UIO) design method, a sufficient condition for the error dynamic system stability is given in terms of linear matrix equations. Based on the designed unknown input observer, an output residual is constructed to detect the system fault. Then a numeral example is illustrated to validate the effectiveness of the proposed method. Finally, some conclusions are given.
Neutrino masses, leptogenesis, and dark matter in a hybrid seesaw model

We suggest a hybrid seesaw model where relatively light right-handed neutrinos give no contribution to neutrino mass matrix due to a special symmetry. This allows their Yukawa couplings to the standard model particles to be relatively strong, so that the standard model Higgs boson can decay dominantly to a left- and a right-handed neutrino, leaving another stable right-handed neutrino as cold dark matter. In our model neutrino masses arise via the type-II seesaw mechanism, the Higgs triplet scalars being also responsible for the generation of the matter-antimatter asymmetry via the leptogenesis mechanism.
An Intuitive Approach to Inertial Sensor Bias Estimation

A simple approach to gyro and accelerometer bias estimation is proposed. It does not involve Kalman filtering or similar formal techniques. Instead, it is based on physical intuition and exploits a duality between gimbaled and strapdown inertial systems. The estimation problem is decoupled into two separate stages. At the first stage, inertial system attitude errors are corrected by means of a feedback from an external aid. In the presence of uncompensated biases, the steady-state feedback rebalances those biases and can be used to estimate them. At the second stage, the desired bias estimates are expressed in a closed form in terms of the feedback signal. The estimator has only three tunable parameters and is easy to implement and use. The tests proved the feasibility of the proposed approach for the estimation of low-cost MEMS inertial sensor biases on a moving land vehicle.
Proposed Congestion Warning System Using YOLOv8 and DeepSORT model

The article proposes a system to identify traff c congestion in urban areas intending to be able to warn traff c jams directly to drivers and vehicles. Our method is to detect using YOLOv8 and DeepSORT to detect vehicles and assign IDs to each object. The density of vehicle traff c is calculated based on the zoned area and the average moving speed. We will determine the appropriate threshold to give the output to the system to notify the user about the situation based on the above-calculated parameters as well as the results in practice. Traff c status in the zoned area is informed by the telegram chat application. The system results have an accuracy of up to 92.9% and apply to larger models such as providing traff c information including road conditions, congested areas, travel time, and calculating traff c to regulate light signals to optimize traff c f ow.
Problems of Measuring Social Inequality and Poverty in Russia

Dans cet article, l'A se penche sur les difficultes rencontrees dans la mesure de l'inegalite sociale dans la Russie contemporaine. L'A analyse ici les differents indicateurs economiques et sociaux traditionnels utilises dans la mesure de l'inegalite sociale, et interprete le niveau de stratification sociale, niveau qui a change de structure depuis l'effondrement du regime communiste et de la transition economique. Il est question ici de l'inegalite croissante des revenus et du bien-etre materiel et de la consommation des menages, qui font l'objet d'analyses classificatoires ainsi que de la mesure de la stratification economique et sociale mesuree par le coefficient Gini