Miracle-dz/UniFAR-FTUs huggingface dataset:
Image processing algorithms for UAV "sense and avoid"

This research is investigating the feasibility of using computer vision to provide a level of situational awareness suitable for the task of UAV "sense and avoid. " This term is used to describe the capability of a UAV to detect airborne traffic and respond with appropriate avoidance maneuvers in order to maintain minimum separation distances. As reflected in regulatory requirements such as FAA Order 7610.4, this capability must demonstrate a level of performance which meets or exceeds that of an equivalent human pilot. Presented in this paper is a comparison of two initial image processing algorithms that have been designed to detect small, point-like features (potentially corresponding to distant, collision-course aircraft) from image streams, and a discussion of their detection performance in processing a real-life collision scenario. This performance is compared against the stated benchmark of equivalent human performance, specifically the measured detection times of an alerted human observer. The two algorithms were used to process a series of image streams featuring real collision-course aircraft against a variety of daytime backgrounds. Preliminary analysis of this data set has yielded encouraging results, achieving first detection times at distances of approximately 6.5 km (3.5 nmi), which are 35-40% greater than those of the alerted human observer. Comparisons were also drawn between the two separate detection algorithms, and have demonstrated that a new approach designed to increase resilience to image noise achieves a lower rate of false alarms, particularly in tests featuring more sensitive detection thresholds
Descriptors for competence: towards an international standard classification for skills and competences

Purpose – The purpose of this paper is to investigate the potential of already existing skills and competence ontologies to benefit European transparency tools and especially the implementation of the European Qualification Framework. Furthermore, it asks whether any of them could serve as a starting point to develop an International Standard Classification of Skills and Competences to supplement ISCED and ISCO.Design/methodology/approach – This contribution contains a comparative analyses of three systems providing ontologies of skills and competences – DISCO, O*NET and Taxonomy_DB – under terminological and pragmatic aspects.Findings – The analysis identifies O*NET as the most promising candidate to serve European transparency instruments and the EQF. Furthermore, it demonstrates that the development of an International Standard Classification of Skills and Competences, that is suitable for statistical purposes as well as appropriate for practical applications in human resource management and in the are.
Validation of a Simplified Definition of Anger Attacks

Background: Anger attacks, sudden spells of anger with vegetative hyperarousal, are highly prevalent symptoms in depression. Assessment normally requires the use of specific instruments. The aim of this study was the validation of a simplified definition for anger attacks. Methods: Anger attacks were assessed in 203 patients suffering from major depression with the Anger Attacks Questionnaire. The first three items of the questionnaire (irritability, overreaction to minor annoyances, episodes with inappropriate anger or rage) were compared separately with the diagnosis, and their value as single screening questions to establish the diagnosis was assessed. Results: Irritability was only weakly associated with the diagnosis of anger attacks (Cohen’s kappa ĸ = 0.214 ± 0.058) and yielded a rather low specificity (0.302), while overreaction to minor annoyances (ĸ = 0.869 ± 0.037) and the question about episodes with inappropriate anger or rage (ĸ = 0.901 ± 0.032) had a high degree of agreement with the diagnosis of the questionnaire (specificity 0.918 and 0.935, respectively). The combination of the two later items resulted in an almost perfect reclassification of cases (ĸ = 0.955 ± 0.022; specificity = 0.971). Conclusions: As anger attacks are probably underdiagnosed in clinical practice, simplification of the diagnostic process is imperative. Our results demonstrate that asking one or two simple screening questions suffices to recognize the majority of patients with anger attacks.
Multi-phase sleep signal modulation for mode transition noise mitigation in MTCMOS circuits

Power and ground distribution network noise produced during SLEEP to ACTIVE mode transitions is an important reliability concern in multi-threshold CMOS (MTCMOS) circuits. Different multi-phase sleep signal slew rate modulation techniques for mode transition noise mitigation are investigated in this paper. A triple-phase sleep signal slew rate modulation technique with a novel digital sleep signal generator is proposed. Various important design metrics of different MTCMOS circuits are evaluated under an equal-noise constraint. The proposed digital triple-phase sleep signal slew rate modulation technique increases the overall quality by up to 9.15x and enhances the tolerance to process parameter fluctuations by up to 18x as compared to alternative sleep signal slew rate modulated MTCMOS circuits in a UMC 80nm CMOS technology.
Dynamic behaviour of a three-phase low-speed switched reluctance micro-wind generator

In a world of continuous changes, environmental protection and energy conservation are becoming real concerns. The development of renewable energy technology has taken on an accelerated pace to fulfill these needs. Wind energy conversion has been considered to be one of the most promising renewable energy, owing to its fast developing technology. In the present paper, three-phase 12/8 switched reluctance generator associated with asymmetric half-bridge power converter, as the main part of a low-speed micro-wind energy conversion system, is proposed. Transient magnetic field analysis is carried out to simulate the dynamic behavior of the switched reluctance micro-wind generator in stand-alone operation with separate excitation and self-excitation patterns.
$RC$  Performance Evaluation of Interconnect Architecture Options Beyond the 10-nm Logic Node

This paper summarizes the findings of an RC performance modeling approach for evaluating various material and architecture options by which interconnect wires are incorporated onto integrated circuits. For the present dual-damascene structure, the grain boundary and surface scattering modes are identified as the top contributors to resistance degradation, along with the cross-sectional area consumed by the liner/barrier layers. Self-forming barriers, a technology that provides direct Cu-insulator interfaces, would quench surface scattering and provide larger cross-sectional area for the conductor in the wire. In addition, if engineered to be thinner than 1.5 nm, they would not negatively impact capacitance. This new architecture also allows for replacing low-k dielectric fill with air-gap incorporation, further enhancing the capacitance component of the RC delay. This proposed new scheme is shown to deliver the RC-related performance metrics set by the International Technology Roadmap for Semiconductors. Other conductor possibilities, such as Co and W, are also evaluated along with subtractive metal processing options.
Milk and Blood Pharmacokinetics of Tylosin and Tilmicosin following Parenteral Administrations to Cows

The aim of this study is to determine the pharmacokinetics of tylosin and tilmicosin in serum and milk in healthy Holstein breed cows (n = 12) and reevaluate the amount of residue in milk. Following the intramuscular administration of tylosin, the maximum concentrations (C max) in serum and milk were found to be 1.30 ± 0.24 and 4.55 ± 0.23 µg/mL, the time required to reach the peak concentration (t max) was found to be 2nd and 4th h, and elimination half-lives (t 1/2β) were found to be 20.46 ± 2.08 and 26.36 ± 5.55 h, respectively. Following the subcutaneous administration of tilmicosin, the C max in serum and milk were found to be 0.86 ± 0.20 and 20.16 ± 1.13 µg/mL, the t max was found to be 1st and 8th h, and the t 1/2β were found to be 29.94 ± 6.65 and 43.02 ± 5.18 h, respectively. AUCmilk/AUCserum and C max-milk/C max-serum rates, which are indicators for determining the rate of drugs that pass into milk, were, respectively, calculated as 5.01 ± 0.72 and 3.61 ± 0.69 for tylosin and 23.91 ± 6.38 and 20.16 ± 1.13 for tilmicosin. In conclusion, it may be stated that milk concentration of tylosin after parenteral administration is higher than expected like tilmicosin and needs more withdrawal period for milk than reported.
A Sequence-based Ontology Matching Approach

The recent growing of the Semantic Web requires the need to cope with highly semantic heterogeneities among available ontologies. Ontology matching techniques aim to tackle this problem by establishing correspondences between ontologies’ elements. An intricate obstacle faces the ontology matching problem is its scalability against large number and large-scale ontologies. To tackle these challenges, in this paper, we propose a new matching framework based on Prüfer sequences. The proposed approach is applicable for matching a database of XML trees . Our approach is based on the representation of XML ontologies as sequences of labels and numbers by the Prüfer’s method that constructs a one-to-one correspondence between schema ontologies and sequences. We capture ontology tree semantic information in Label Prüfer Sequences (LPS) and ontology tree structural information in Number Prüfer Sequences (NPS). Then, we develop a new structural matching algorithm exploiting both LPS and NPS. Our Experimental results demonstrate the performance benefits of the proposed approach.
An Investigation of a Satiation Process in the Reversible Perspective of Revolving Skeletal Shapes

A technique for studying a satiation process is described, which is claimed to have many advantages over the older methods. A skeletal wire cube is rotated at 1 rev. per sec. , and the time taken for the first apparent reversal of direction to occur is measured and called the “satiation period. ” It is a much longer period than the mean period of subsequent reversals. This is due to the fact that the situation is one of biased ambiguity; biased by the cues to depth and thus to the true perspective. Using this measure we have shown:— (1) That the effect is predominantly central. (2) That after satiation has occurred, reversing the cube's direction of rotation induces a longer than normal satiation period. (3) There is no transfer of satiation to other types of static or mobile figure nor to other spatial locations. (4) Satiation time is largely independent of brightness and colour. (5) Köhler's theory of satiation is supported but it is given a neuronal basis rather than a basis in a non-neuronal, electrolytic type of cortical conduction.
Energy Efficient Routing Algorithm for WSNs via Unequal Clustering

Clustering and multi-hop forwarding improve the energy efficiency of wireless sensor networks (WSNs). However, when cluster heads transmit their data to a sink via multi-hop communication, nodes around the sink are burdened with heavy relay traffic and tend to die early, which results in the energy hole and network partition problems. In this paper, we propose an energy efficient Unequal-Clustering Routing Algorithm (UCRA) for WSNs, which consists of an Unequal-Clustering Algorithm (UCA) and a multi-hop routing algorithm. Our UCA takes into consideration residual energy and degree of a sensor node when grouping the sensor nodes into unequal clusters. We adopt the Minimum Energy Consumption (MEC) multi-hop routing algorithm for inter-cluster communication. It exploits sensor nodes' location information to determine a MEC routing path. Simulation results show that our UCRA balances the energy consumption among sensor nodes and achieve a substantial improvement on the network lifetime.
The Relationship between Background Variables and Sex-Typing of Gender Roles and Children’s Chores: The Israeli Case

The article examines the relationship between sex-typing of adult gender roles and children’s chores in Israeli society. Adult gender roles were examined from a general perspective, while children’s chores were examined in five distinctive areas - domestic chores, help with siblings, self-care, outside, and technical chores. The research sample consisted of 238 married and unmarried participants (81 men and 157 women). Specifically, sex-typing of adult gender roles and children’s chores was examined in relation to three sets of background variables: (1) personal background variables (age, religiosity, and ethnicity); (2) education and employment variables (level of education, extent of job position, and earning patterns); and (3) family variables (marital status, length of marriage, number of children, and age of children). The women tended to have less sex-typed attitudes than the men did with regard to children’s chores. However, no differences were found between the genders with regard to sex-typing of adult gender roles. In addition, the married women expressed more sex-typed attitudes toward adult gender roles than did unmarried women, whereas the differences between married and unmarried men were less significant. Among both genders, a correlation was found between sex-typing of adult gender roles and domestic children’s chores.
Home Monitoring and Decision Support for International Liver Transplant Children

Complications may occur after a liver transplantation, therefore proper monitoring and care in the post-operation phase plays a very important role. Sometimes, monitoring and care for patients from abroad is difficult due to a variety of reasons, e.g., different care facilities. The objective of our research for this paper is to design, implement and evaluate a home monitoring and decision support infrastructure for international children who underwent liver transplant operation. A point-of-care device and the PedsQL questionnaire were used in patients' home environment for measuring the blood parameters and assessing quality of life. By using a tablet PC and a specially developed software, the measured results were able to be transmitted to the health care providers via internet. So far, the developed infrastructure has been evaluated with four international patients/families transferring 38 records of blood test. The evaluation showed that the home monitoring and decision support infrastructure is technically feasible and is able to give timely alarm in case of abnormal situation as well as may increase parent's feeling of safety for their children.
The Cost of Binge Drinking

We estimate the effect of binge drinking on accident and emergency attendances, road accidents, arrests, and the number of police officers on duty using a variety of unique data from Britain and a two-sample minimum distance estimation procedure. Our estimates, which reveal sizeable effects of bingeing on all outcomes, are then used to monetize the short-term externalities of binge drinking. We find that these externalities are on average £4.9 billion per year ($7 billion), about £80 for each man, woman, and child living in the UK. The price that internalizes this externality is equivalent to an additional 9p per alcoholic unit, implying a 20% increase with respect to the current average price.
Flowcytometric Immunophenotyping in the Diagnosis of Pediatric Lymphoma: How Reliable Is It and How Can We Optimize Its Use?

We aimed to evaluate the role of flowcytometric immunophenotyping (FCI) as an adjunct to histologic examination in pediatric lymphoma. We conducted a retrospective review of 39 fresh tissue samples and 2 pleural fluids submitted to the histopathology department with a clinical suspicion of lymphoma during a 4-year period, where FCI was performed. The FCI results were correlated with the final histologic diagnosis. The study comprised 38 lymphoid lesions and 3 nonlymphoid tumors. The concordance of FCI for all lesions was 71% and that for non-Hodgkin lymphoma was 75%. When Hodgkin lymphoma was excluded, the correlation was 93.1%. In 3 cases of nonhematologic tumors, FCI was useful in excluding a lymphoma. In one of them, FCI supported the diagnosis of neuroblastoma when CD81, CD9, GD2, and CD56 were added to the FCI panel. FCI produced rapid same-day results with a high sensitivity for benign lymphoid lesions and non-Hodgkin lymphoma. It was not helpful for Hodgkin lymphoma. Although the main application of FCI was to assess lymphoid lesions, it was also useful in the identification of nonlymphoid tumors, especially neuroblastoma. As the prevalence of lymphomas in children differ from that in adults, we believe that the algorithm proposed by us to triage specimens using imprint cytology can optimize the use of FCI in routine pediatric pathology practice.
Pilot-Symbol-Assisted Phase Noise Compensation With Forward–Backward Wiener Smoothing Filters

We present a novel Wiener smoothing filter procedure for pilot-symbol-assisted estimation of oscillator phase noise. The procedure consists of forward and backward first-order infinite impulse response filtering the pilot symbols and combining the filter outputs to generate an estimate of the phase noise. We analyze the mean-square-error performance of this pilot-symbol-assisted forward–backward Wiener smoothing filter (FBWSF) procedure and show its optimality under the assumption that the phase noise is modeled as a first-order autoregressive moving average process. We then apply the FBWSF as a code-aided phase noise compensation technique in an iterative receiver framework. The iterative receiver presented here first estimates phase noise roughly by using the pilot-symbol-assisted FBWSF; then, it refines the estimates with the code-aided version of FBWSF. The resulting receiver achieves excellent error performance at a feasible level of computational complexity.
Improving Vietnamese-English Medical Machine Translation

Machine translation for Vietnamese-English in the medical domain is still an under-explored research area. In this paper, we introduce MedEV -- a high-quality Vietnamese-English parallel dataset constructed specifically for the medical domain, comprising approximately 360K sentence pairs. We conduct extensive experiments comparing Google Translate, ChatGPT (gpt-3.5-turbo), state-of-the-art Vietnamese-English neural machine translation models and pre-trained bilingual/multilingual sequence-to-sequence models on our new MedEV dataset. Experimental results show that the best performance is achieved by fine-tuning"vinai-translate"for each translation direction. We publicly release our dataset to promote further research.
MILP based task mapping for heterogeneous multiprocessor systems

CAD-systems supporting hardware/software codesign map different tasks of an algorithm onto processors. Some of the processors are programmable and others are application specific. We propose a new MILP (mixed integer linear program) model that allows to determine a mapping optimizing a trade off function between execution time, processor and communication cost. The mapping also guarantees that all specified execution deadlines are met. We demonstrate the efficient with practical examples.
Prediction-Directed Compression of POMDPs

High dimensionality of belief space in partially observable Markov decision processes (POMDPs) is one of the major causes that severely restricts the applicability of this model. Previous studies have demonstrated that the dimensionality of a POMDP can eventually be reduced by transforming it into an equivalent predictive state representation (PSR). In this paper, we address the problem of finding an approximate and compact PSR model corresponding to a given POMDP model. We formulate this problem in an optimization framework. Our algorithm tries to minimize the potential error that missing some core tests may cause. We also present an empirical evaluation on benchmark problems, illustrating the performance of this approach.
Action Evaluation and Conflict Resolution Training: Theory, Method and Case Study

Current efforts to develop an “appropriate technology” for evaluating conflict resolution methods, including conflict resolution training, are described. There is a need in conflict resolution for research and evaluation methods which are contextually sensitive to the setting, participants, content, and process of specific initiatives. This need parallels the idea of appropriate technology in third world development efforts, in which sensitivity to context and a great deal of local participation is sought to ensure that outside aid is truly wanted and helpful. Appropriate means of evaluating conflict resolution are still lacking; new methodologies consistent with, and even constitutive of, normative conflict resolution goals and values are required. The article describes and illustrates a process designed to bridge conflict resolution and evaluation, which is labeled “action-evaluation. ”
Exploring Communication Dynamics: Eye-tracking Analysis in Pair Programming of Computer Science Education

Pair programming is widely recognized as an effective educational tool in computer science that promotes collaborative learning and mirrors real-world work dynamics. However, communication breakdowns within pairs significantly challenge this learning process. In this study, we use eye-tracking data recorded during pair programming sessions to study communication dynamics between various pair programming roles across different student, expert, and mixed group cohorts containing 19 participants. By combining eye-tracking data analysis with focus group interviews and questionnaires, we provide insights into communication's multifaceted nature in pair programming. Our findings highlight distinct eye-tracking patterns indicating changes in communication skills across group compositions, with participants prioritizing code exploration over communication, especially during challenging tasks. Further, students showed a preference for pairing with experts, emphasizing the importance of understanding group formation in pair programming scenarios. These insights emphasize the importance of understanding group dynamics and enhancing communication skills through pair programming for successful outcomes in computer science education.
A low-power low-voltage CMOS Resistance-to-Period Converter

This paper presents a new low-power, low-voltage Resistance-to-Period Converter (RPC) for signal conditioning of resistive sensors whose equivalent resistance varies in more than one decade. Designed in a low cost 0.18 μm CMOS process, the proposed RPC attains a good compromise between linearity and power consumption, which makes it suitable for portable applications. Simulation results show that the linearity error is less than 1.6% for an input resistance range from 10kΩ to 100kΩ with power consumption lower than 46 μW at 1.2 V supply.
Bagging.LMS: A Bagging-based Linear Fusion with Least-Mean-Square Error Update for Regression

The merits of linear decision fusion in multiple learner systems have been widely accepted, and their practical applications are rich in literature. In this paper we present a new linear decision fusion strategy named BaggingmiddotLMS, which takes advantage of the least-mean-square (LMS) algorithm to update the fusion parameters in the Bagging ensemble systems. In the regression experiments on four synthetic and two benchmark data sets, we compared this method with the bagging-based simple average and adaptive mixture of experts ensemble methods. The empirical results show that the BaggingmiddotLMS method may significantly reduce the regression errors versus the other two types of Bagging ensembles, which indicates the superiority of the suggested BaggingmiddotLMS method