Miracle-dz/UniFAR-FTUs huggingface dataset:
Signal Energy based Probabilistic Inspection of Defect in Composites

Ultrasonic guided wave based inspection is a well-known technique for structural health monitoring in composite sheets. Among various guided wave methods, Reconstruction Algorithm for Probabilistic Inspection of Damage (RAPID) is a popular and well accepted technique for defect detection and localization. Very recently a baseline free version of RAPID is developed by utilizing non-linear acoustic where two different sets of measurements are taken on a defected sample, one with very low signal excitation (~5 Volt) and another with high signal excitation (~100 Volt). However, in many situations very low excitation may not yield any signal for very highly attenuative materials in relatively large inspection areas. Here we propose a novel feature termed as scaled energy ratio and used it in the standard RAPID algorithm to successfully localize defects with single set of measurements (with a high voltage excitation only). This technique in one hand offers baseline free detection of defects and in the other hand requires only one set of measurement at a high excitation level. We report very encouraging results while implementing this new feature based RAPID algorithm in defect detection in glass fiber composite sheet for different sensor array locations.
The Web Version of the Exchange Test

This paper provides a description of the web version of the Exchange Test and reports on the results of its psychometric evaluation. The Exchange Test is a measure of working memory capacity which is demanding to the central executive and storage units of working memory. It is composed of 60 items, spaced out evenly over five treatment levels of increasing difficulty. One item is composed of two arrays of symbols, the same four symbols in each array but in different order. The positions of the symbols within a single array have to be exchanged mentally until identical orders are obtained. The outcomes reflect the accuracy of counting the necessary exchanges and the time needed to perform this task. The results are based on data from 203 participants. The investigation of consistency indicated acceptable to good quality. Furthermore, the equivalence of the internal structure of the new and original versions was demonstrated. Most importantly, the scores proved to be highly correlated with fluid intelligence.
On the Interpretation of Onsets of Auditory Context Effects in Word Production

Abstract Six experiments are reported in which participants named pictures that were accompanied by auditorily presented distractors. Distractors that consisted of the first phonemes of the target names caused faster target-naming times than unrelated controls in a wide range of stimulus-onset asynchronies (SOAs), including SOA −300 ms. In addition, two variables that influenced the onset of the phonological effect obtained with word distractors were identified, one of which was the presence or absence of a semantic manipulation in the experiment. The results (a) show that data patterns that had seemed to support strict-serial models of language production (Schriefers, Meyer, & Levelt, 1990) are in fact not univocally interpretable and (b) highlight that the interpretation of (onsets of) context effects cannot be made without clear assumptions about both language production and language perception.
Le psychosociologue face aux enjeux de la responsabilité

Aujourd’hui, dans le monde du travail, l’appel a la responsabilite consiste trop souvent a obtenir des salaries une soumission a un ensemble de normes qui fait l’impasse sur le travail « de normativite » des acteurs. Dans ce contexte, il reste peu de place pour accueillir une autre acception de la responsabilite : celle d’une activite deliberee, d’une volonte de repondre de ses actes, d’un desir de se confronter aux autres. L’approche du psychosociologue qui convie a travailler les situations sociales en interiorite, si elle permet une apprehension des tensions, expose les individus et les groupes, comme l’intervenant lui-meme, a des contradictions et des ambiguites concernant ces questions de la plainte et de la responsabilite. Par le choix de deux interventions qui en appellent tantot a un elargissement des registres de comprehension tantot a une recentration sur l’un d’entre eux, le psychosociologue explore cette complexite qui empeche les acteurs sociaux d’assumer leur fonction et les conditions qui favorisent des processus de degagement.
Origin and Early Development of the Posterior Lateral Line System of Zebrafish

The lateral line system of teleosts has recently become a model system to study patterning and morphogenesis. However, its embryonic origins are still not well understood. In zebrafish, the posterior lateral line (PLL) system is formed in two waves, one that generates the embryonic line of seven to eight neuromasts and 20 afferent neurons and a second one that generates three additional lines during larval development. The embryonic line originates from a postotic placode that produces both a migrating sensory primordium and afferent neurons. Nothing is known about the origin and innervation of the larval lines. Here we show that a “secondary” placode can be detected at 24 h postfertilization (hpf), shortly after the primary placode has given rise to the embryonic primordium and ganglion. The secondary placode generates two additional sensory primordia, primD and primII, as well as afferent neurons. The primary and secondary placodes require retinoic acid signaling at the same stage of late gastrulation, suggesting that they share a common origin. Neither primary nor secondary neurons show intrinsic specificity for neuromasts derived from their own placode, but the sequence of neuromast deposition ensures that neuromasts are primarily innervated by neurons derived from the cognate placode. The delayed formation of secondary afferent neurons accounts for the capability of the fish to form a new PLL ganglion after ablation of the embryonic ganglion at 24 hpf.
Speaker-independent negative emotion recognition

This work aims to provide a method able to distinguish between negative and non-negative emotions in vocal interaction. A large pool of 1418 features is extracted for that purpose. Several of those features are tested in emotion recognition for the first time. Next, feature selection is applied separately to male and female utterances. In particular, a bidirectional Best First search with backtracking is applied. The first contribution is the demonstration that a significant number of features, first tested here, are retained after feature selection. The selected features are then fed as input to support vector machines with various kernel functions as well as to the K nearest neighbors classifier. The second contribution is in the speaker-independent experiments conducted in order to cope with the limited number of speakers present in the commonly used emotion speech corpora. Speaker-independent systems are known to be more robust and present a better generalization ability than the speaker-dependent ones. Experimental results are reported for the Berlin emotional speech database. The best performing classifier is found to be the support vector machine with the Gaussian radial basis function kernel. Correctly classified utterances are 86.73%±3.95% for male subjects and 91.73%±4.18% for female subjects. The last contribution is in the statistical analysis of the performance of the support vector machine classifier against the K nearest neighbors classifier as well as the statistical analysis of the various support vector machine kernels impact
Analysis of Hamming Network and MAXNET of Neural Network Method in the String Recognition

This paper aims that analysing neural network method in pattern recognition. A neural network is a processing device, whose design was inspired by the design and functioning of human brain and their components. The proposed solutions focus on applying Hamming Network and MAXNET model for pattern recognition. The primary function of which is to retrieve in a pattern stored in memory, when an incomplete or noisy version of that pattern is presented. An associative memory is a storehouse of associated patterns that are encoded in some form. In auto-association, an input pattern is associated with itself and the states of input and output units coincide. When the storehouse is incited with a given distorted or partial pattern, the associated pattern pair stored in its perfect form is recalled. Pattern recognition techniques are associated a symbolic identity with the image of the pattern. This problem of replication of patterns by machines (computers) involves the machine printed patterns. There is no idle memory containing data and programmed, but each neuron is programmed and continuously active.
Semantic Similarity for Text Comparison between Textual Documents or Sentences

The inclusion of semantic information into any similarity metric boosts its effectiveness and gives findings that are interpretable by humans for further inquiry. A similarity calculation approach only centered on word properties inside the text sometimes provides less precise findings. This document gives three methods that aims to focus on textual terms and incorporate semantic information into their feature vectors, thereby computing semantic similarities. These strategies are founded in both corpus and knowledge-based approaches, namely: cosine similarity using tf-idf vectors, cosine similarity employing word embeddings, and soft cosine similarity utilizing word embeddings. Among these three, cosine similarity utilizing tf-idf vectors is deemed the most proficient in spotting similarities among succinct texts. The texts found by this technology are easily comprehensible and can be easily employed in other applications for important information retrieval.
A 2D camera design with a single-pixel detector

A single-pixel camera for THz imaging has been proposed in [1]. In this article, we propose a new design for a single-detector THz imaging system based on Compressive Sampling (CS), which does not need raster scanning of the object in front of the THz beam. We exploit a time-efficient and cost-effective design to acquire the CS measurements. As a result, the image acquisition time in the proposed imaging system is only limited to the speed of the THz detector. The proposed approach is applicable to other types of imaging as well.
Coping with Cyberbullying: Differences Between Victims, Bully‐victims and Children not Involved in Bullying

This study investigated the relationship between the use of coping strategies to deal with daily stressors in general (n = 325) and the use of coping strategies to deal with cyberbullying in particular (n = 88) among children aged 11 and 12 years. Additionally, it investigated the impact of coping strategies on depression and health in victims of cyberbullying (n = 88). The results showed that victims differed significantly from bully-victims (i.e. victims that also bully) and from children not involved in cyberbullying, in that they use certain emotion-focused coping strategies for daily stressors in general more than others. Additionally, this study investigated among victims of cyberbullying the relation between coping strategies in daily life, cyberspecific coping, depressive feelings and health complaints. Coping through emotional expression, avoidance and depressive coping in daily life will lead to more cyberspecific depressive coping when confronted with cyberbullying. This in turn will lead to more depressive feelings and/or health complaints for victims of cyberbullying. These results stress the importance of teaching children how to stand up for themselves and employ effective coping strategies to deal with stress in daily life in general and to deal with cyberbullying in particular. Copyright © 2012 John Wiley & Sons, Ltd. Language: en
New design of helical antenna array for L-band land mobile satellite communications

A new low profile helix antenna array with three variable pitch angle helix antenna elements has been designed for L-band land mobile satellite communications. The novelty of the antenna is that its input impedance matching can be tuned by changing the match stub size, while its circular polarization performance can be optimized by adjusting the pitch angle under the circumstance of a limited antenna height. An improved symmetry three-way equal power divider with high isolation is designed as a feed network. The simulated impedance and radiation pattern are studied. The proposed antenna array can produce a circular polarization bandwidth(axial ratio<;3dB) of nearly 16%, and a |S11|<;-15dB impedance bandwidth of nearly 26%. It provides a promising SATCOM-on-the-move antenna array with a gain of higher than 12dBi for maritime satellite communication terminals applications.
Alone together: A grounded theory study of experienced burden, coping, and support needs of spouses of persons with a bipolar disorder.

Bipolar disorder is a chronic and severe mental disorder. Little is known about the experiences of the spouses of such patients. A grounded theory study was undertaken to examine the burden for spouses living with a partner with a bipolar disorder and to explore how they cope and what support they need. Fifteen spouses and ex-spouses were interviewed; they experienced heavy burden and found themselves to be 'alone together. ' Their coping process is found to involve appraisal of the situation and attempts to achieve a balance between self-effacement and self-fulfilment. While support can clearly reduce experienced burden, the spouses surprisingly receive virtually no professional support. A theory is developed that constitutes a starting point for the development of adequate support for spouses.
Time and Accuracy based impact analysis of Poisoning Attack on Support Vector Machine algorithm

The security concerns in the digital world are rapidly evolving. Artificial intelligence and Machine Learning (AI&ML) techniques are not an exception from this concern. None of us wants to stay away from the comforts by avoiding the luxury provided by AI&ML technology-based products. As these are being widely adopted, the risk involved with the weak security posture is a big threat to our community. This paper provides insight to the attacks and their categorization. The work investigates how volatile the ML algorithms are against the cyber-attack by examining the Support Vector Machine (SVM) algorithm against the poisoning attack. The significance is given to the accuracy and time of execution factors among many. Exploring the volatility of ML algorithms against the poisoning attack is a step towards understanding the weakness of ML algorithms, which further allows to explore the various ways to develop the defense mechanisms that prevent such attacks.
Somatic EGFR Mutation and Gene Copy Gain as Predictive Biomarkers for Response to Tyrosine Kinase Inhibitors in Non–Small Cell Lung Cancer

Purpose: The aim of this systematic review and meta-analysis was to characterize common EGFR molecular aberrations as potential predictive biomarkers for response to monotherapy with tyrosine kinase inhibitors (TKI) in non–small cell lung cancer (NSCLC). Experimental Design: We systematically identified articles investigating EGFR status [somatic mutational and gene copy aberrations (copy number)] in patients with NSCLC treated with TKIs. Eligible studies had to report complete and partial response rates stratified by EGFR status. We used random effects models for bivariable meta-analysis of sensitivity and specificity; positive and negative likelihood ratios (+LR and −LR, respectively) were also calculated and were considered as secondary end points. Results: Among 222 retrieved articles, 59 were considered eligible for the somatic EGFR mutation meta-analysis (1,020 mutations among 3,101 patients) and 21 were considered eligible for the EGFR gene copy number meta-analysis (542 gene gain among 1,539 patients). EGFR mutations were predictive of response to single-agent TKIs [sensitivity, 0.78; 95% confidence interval (95% CI), 0.74-0.82; specificity, 0.86; 95% CI, 0.82-0.89; +LR, 5.6; −LR, 0.25]. EGFR gene gain was also associated with response to TKIs, albeit with lower sensitivity and specificity. In subgroup analysis, the only recognized trend was for a higher predictive value in Whites compared with East Asians for both mutation and gene copy number. Conclusion: This analysis provides empirical evidence that EGFR mutations are sensitive and specific predictors of response to single-agent epidermal growth factor receptor TKIs in advanced NSCLC. The diagnostic performance of mutations seems better than that of EGFR gene gain. Clin Cancer Res; 16(1); 291–303
Electro-thermal-mechanical modeling of wire bonding failures in IGBT

In power electronic module (PEM), IGBT (Isolated Gate Bipolar Transistor) is a high electrical power device and control wide power range from micro-voltage-ampere to mega-voltage-ampere. In addition, IGBT device usually operates in high-temperature environment, such as engine of automobile. As a result, the thermal problem is one of main concern regardless of the influence from dissipated power or environmental temperature. This paper discusses temperature distribution and mechanical behavior of wire bonding in IGBT based on finite element method. The purpose of this research would focus on the interface of wire bonding and connection substrate. Because the material of wire and substrate are different, it would result in CTE mismatch. Due to thermal damage, it could cause failure in the interface, e.g. wire bond lift off and heel crack. Among these, wire bond lift off is a critical failure and even lead to the degradation of IGBT. In order to simulate electro-thermal-mechanical behavior, two analytical methods are adopted in this research, one is electro-thermal analysis; the other is thermal-mechanical analysis. In this paper, we would use ANSYS software to analyze electro-thermal-mechanical behavior of wire bonding structure, furthermore, the wire bonding structure we build up is symmetrical, so only half of model is analyzed to save more time and reduce computational complexity. In electro-thermal analysis, we would show the temperature distribution in wire bonding structure when electric current is applied to wire. Furthermore, the natural convection and forced convection are taken into consideration in order to correspond to the realistic operational situation. The temperature change is dominated by Joule heating caused by the magnitude of electric current. For the purpose of obtaining the relation between temperature and electric current, nonlinear transient finite element simulation is proposed in this research. The analytical results show that the temperature would change along electric current and there is nearly temperature distribution in wire bonding structure after stopping applying electric current for a period of time. In thermal-mechanical analysis, we would adopt indirect coupling method, that is, use the results obtained from electro-thermal analysis as thermal load to thermal-mechanical analysis. According to analysis, the maximum von-Mises stress occurs in the heel of wire bonding due to CTE mismatch and high Joule heating. Besides, the displacement of wire bonding structure has upward direction, namely, the warpage phenomenon would occur due to temperature change. Under continuing of temperature change, it would bring fatigue failure in the interface of wire bonding and connection substrate. The objective in this research is to improve and increase the mechanical strength of wire bonding by discussing the relation of electro-thermal-mechanical behavior.
Experiencing Mechanistic Versus Organic Systems: Adding Affect To Students' Conceptual Grasp of "Abstract" Organizational Concepts

Typically, students, especially undergraduates, have a difficult time &dquo;getting&dquo; the full meaning of concepts we teach in organizational theory. One reason for this difficulty is that students are given few if any ways to hook into the feeling of the concepts. At most, discussions of structure, technology, environment, centralization, and decentralization are grounded in examples, illustrations, and cases that emphasis the facts of the matter. What emotions are noted are processed cognitively by students. There is little or no attention given to the experiential dimension. The use of examples, illustrations, and cases is an appropriate and helpful teaching method, but the students reading and analyzing the material rarely, if ever, get a real sense of what the emotional connotations are for those in a centralized
Chance Discovery as Analogy Based Value Sensing

The authors are finding rising demands for sensing values in existing/new events and items in the real life. Chance discovery, focusing on new events significant for human decision making, can be positioned extensively as an approach to value sensing. This extension enables the innovation of various artificial systems, where human's talent of analogical thinking comes to be the basic engine. Games for training and activating this talent are introduced, and it is clarified that these games train the an essential talent of human for chance discovery, by discussing the experimental results of these games on the logical framework of analogical abductive reasoning.
Finite-Time Synchronization of Flux-Controlled Complex-Valued Memristive Neural Networks

In this paper, by using the flux-controlled memristor model, the finite-time synchronization problem of delayed complex-valued memristive neural networks (MCNNs) is studied. Firstly, according to the proposed memristor model, we model the MCNNs as continuous systems on voltage-flux-time $(\wp, \varpi, t)$ domain. Then, we design a class of approaches to realize state synchronization between the drive and response systems, and the corresponding synchronization conditions are achieved. Finally, the effectiveness of results is illustrated with the simulations.
The pro-domain of the zebrafish Nodal-related protein Cyclops regulates its signaling activities

Nodal proteins are secreted signaling factors of the transforming growth factor β (TGFβ) family with essential roles in embryonic development in vertebrates. Mutations affecting the Nodal factors have severe consequences in mammals and fish. Furthermore, increased Nodal levels have been associated with melanoma tumor progression. Like other TGFβ-related proteins, Nodal factors consist of a pro-domain and a mature domain. The pro-domain of mouse Nodal protein stabilizes its precursor. However, the mechanisms by which the pro-domains exert their activities are unknown. Here, we characterize the zebrafish Nodal-related factor Cyclops (Cyc) and find unexpected functions for the pro-domain in regulating Cyc activity. We identified a lysosome-targeting region in the Cyc pro-domain that destabilizes the precursor and restricts Cyc activity, revealing the molecular basis for the short-range signaling activities of Cyc. We show that both the pro- and mature-domains of Cyc regulate its stability. We also characterize a mutation in the pro-domain of human NODAL (hNODAL) that underlies congenital heterotaxia. Heterologous expression of mutant hNODAL increases expression of Nodal-response genes. Our studies reveal unexpected roles for the pro-domain of the Nodal factors and provide a possible mechanism for familial heterotaxia.
SOMETHING OLD , SOMETHING NEW : A LONGITUDINAL STUDY OF SEARCH BEHAVIOR AND NEW PRODUCT

We examine how firms search, or solve problems, to create new products. According to organizational learning research, firms position themselves in a unidimensional search space that spans a spectrum from local to distant search. Our findings in the global robotics industry suggest that firms' search efforts actually vary across two distinct dimensions: search depth, or how frequently the firm reuses its existing knowledge, and search scope, or how widely the firm explores new knowledge.