Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing intellectual capital for e-service innovation

The emergence of the knowledge-based economy has made intellectual capital a critical factor in assisting companies to obtain a competitive advantage in this fierce environment. This study adopted the knowledge-based view and resource-based view to explore and propose the influence of intellectual capital on e-service innovation and further examines the mediating effects of cross-functional integration and external collaborative competency on the relationship between intellectual capital and e-service innovation. An empirical study was performed based on a survey of information technology (IT) and marketing managers from financial and hotel industries in Taiwan. There were 126 companies whose two departments both responded to the questionnaires. The findings indicated that intellectual capital can promote the ability of firms to develop e-service innovation. Furthermore, cross-functional integration played a mediating role between intellectual capital and e-service innovation. This study suggested that managers should enhance intellectual capital in developing e-service innovation through cross-functional integration.
An open-set detection evaluation methodology for automatic emotion recognition in speech

In this paper, we present a detection approach and an open-set detection evaluation methodology for automatic emotion recognition in speech. The traditional classification approach does not seem to be suitable and flexible enough for typical emotion recognition tasks. For example, classification does not have an appropriate way to cope with new emotions from outside the training database that can be encountered in real life situations. With the presented approach and evaluation method we aim to perform experiments that suit the task of an emotion detector and to obtain results that are better interpretable and generalizable to other datasets. This evaluation method takes into account the fact that new emotions can be encountered by the emotion detectors that are not covered by the trained models. We also tested the trained emotion detectors on an independent emotion database. We report results that indicate that our openset evaluation methodology indeed produces more representative and generizable results. Index Terms: emotion recognition, detection, evaluation
Learning to Classify Medical Documents According to Formal and Informal Style

This paper discusses an important issue in computational linguistics: classifying sets of medical documents into formal or informal style. This might be important for patient safety. Formal documents are more likely to have been published by medical authorities; therefore, the patients could trust them more than they can trust informal documents. We used machine learning techniques in order to automatically classify documents into formal and informal style. First, we studied the main characteristics of each style in order to train a system that can distinguish between them. Then, we built our data set by collecting documents for both styles, from different sources. After that, we performed preprocessing tasks on the collected documents to extract features that represent the main characteristics of both styles. Finally, we test several classification algorithms, namely Decision Trees, Naïve Bayes, and Support Vector Machines, to choose the classifier that leads to the best classification results.
Talking about pictures: A case for photo elicitation

This paper is a definition of photo elicitation and a history of its development in anthropology and sociology. The view of photo elicitation in these disciplines, where the greatest number of photo elicitation studies have taken place, organizes photo elicitation studies by topic and by form. The paper also presents practical considerations from a frequent photo elicitation researcher and concludes that photo elicitation enlarges the possibilities of conventional empirical research. In addition, the paper argues that photo elicitation also produces a different kind of information. Photo elicitation evokes information, feelings, and memories that are due to the photograph's particular form of representation.
Texture Segmentation Using Independent Component Analysis of Gabor Features

This paper proposes a novel method for texture segmentation using independent component analysis (ICA) of Gabor features (called ICAG). It has three distinguished aspects: (1) Gabor wavelets transformation first produces distinct textural features characterized by spatial locality, scale and orientation selectivity; (2) principal component analysis (PCA) then reduces the dimensionality of these features and ICA finally derives independent features for texture segmentation; and (3) two different frameworks for ICA are discussed. Framework I regards pixels as random variables and represents them as a column vector by re-shaping all the transformed images row-by-row, while framework II treats the statistical features, viz. the mean and standard deviation of image, as random variables. The statistical features of all the transformed images construct a column vector. Comparative experiment results among ICAG, Gabor wavelets and ICA indicate that ICAG provides the best performance and framework II is more efficient and applicable for texture segmentation
Ring-hybrid microwave voltage-variable attenuator using HFET transistors

In this paper, a voltage-variable microwave attenuator circuit is presented. The input signal first enters a rat-race power splitter where a 0/spl deg/ and a 180/spl deg/ pair of signals is generated. The 0/spl deg/ signal passes through a common-gate field-effect transistor (FET) that is fully turned on, with its gate voltage set to 0 V. The 180/spl deg/ signal enters another common-gate transistor biased in the triode region. By changing the gate voltage of the second FET, the amplitude of the 180/spl deg/ signal is varied. The in-phase and out-of-phase signals are summed at the output and variable attenuation is achieved. The concept was demonstrated experimentally from 3.0 to 3.4 GHz and a variable attenuation from 6 to 30 dB was achieved. The phase response is linear over the frequency band and exhibits a group delay of 0.71 ns. The input 1-dB compression point of the attenuator is 0 dBm and the second harmonic suppression is 18.5 dB at 0-dBm input power.
Multi-sensory Rendering: Combining Graphics and Acoustics

Human perception of the geometry and spatial layout of an environment is a multi-sensory process. In addition to sight, the human brain is also particularly adept at subconciously processing echoes and using these reflected sounds to provide some indication of the dimensions of an environment. This auditory impression of the size of an environment will incorporate surfaces not only to the front, but also to the sides and rear of the person and thus currently hidden from his/her view. SO while computer graphics can provide an image of what a person can currently see, the level of perceptual realism may be significantly improved by incorporating auditory effects as well. This paper describes a method for combining the computation of lighting and acoustics to provide enhanced rendering of virtual environments.
Exploring Anger Among Offenders: The Role of Emotion Dysregulation and Alexithymia

This study tests whether specific dimensions of emotion dysregulation predict maladaptive anger expression among offenders from Italy and Australia. In particular, it examines the unique associations among emotion dysregulation dimensions and different aspects of anger expression and control, in both inmates and offenders on parole. Multiple regression analyses reveal that difficulties controlling impulsive behaviour when distressed are related to state anger, trait anger, and chronic anger expression. On the other hand, alexithymia predicts the maladaptive expression of anger inwardly directed. Finally, lack of emotional awareness and limited access to emotion regulation (ER) strategies are negatively related to anger control, suggesting that they may represent useful treatment targets. Interestingly, incarcerated offenders reported significantly higher levels of state anger and lower levels of anger control out (i.e. seeking support from others) than offenders living on parole in the community, highlighting the importance of contextual influences in the emotional life of offenders.
An assessment of assumptions and uncertainty in deuterium-based estimates of terrestrial subsidies to aquatic consumers.

The deuterium ratio (2 H/1 H) in tissue is often used to estimate terrestrial subsidies to aquatic consumers because of strongly differentiated values between terrestrial and aquatic primary producers. However, quantitative deuterium-based analyses of terrestrial resource assimilation are highly dependent on several poorly defined assumptions. We explored the sensitivity of these estimates to assumptions regarding environmental water contributions to consumer deuterium content (ω) and algal photosynthetic hydrogen discrimination (εH ). We also tested whether 13 C/12 C and 2 H/1 H-based estimates of terrestrial resource assimilation give similar outcomes. The average of the 12 experiments that have directly estimated proportional contributions of environmental water to consumer tissue 2 H/1 H was 0.27 ± 0.11 (mean ± SD), with similar values for invertebrates and fish. Conversely, of the 28 field studies that have used 2 H/1 H to characterize aquatic food webs, all but one assume a value that is less than our current best estimate, usually substantially less. A reanalysis of the raw data from four recent case studies indicates the calculated terrestrial contribution to aquatic consumers is extremely sensitive to this assumption. When the authors' original assumptions were used (i.e., ω = 0.16 ± 0.05), the estimated proportional contribution of terrestrial resources to aquatic consumers (θT ) averaged 29 ± 17%, and when ω = 0.27 was used the average estimated assimilation of allochthonous resources was ≈0.00. A compilation of published photosynthetic hydrogen discrimination values for microalgae averaged εH = -150 ± 27‰ (SD, n = 99), and a sensitivity analysis showed the outcomes of these calculations were also strongly influenced by uncertainty in εH . There was no statistical association between 13 C/12 C and 2 H/1 H-based estimates of terrestrial subsidies (r = -0.12, n = 274). This analysis indicates that the assumptions in deuterium-based estimates of terrestrial resource assimilation are highly influential but poorly constrained; therefore, the impact of these assumptions on calculated outputs must be carefully assessed and thoroughly reported. Due to the highly uncertain assumptions inherent in deuterium-based analyses, we urge much more caution when using this approach to estimate terrestrial subsidies to consumers in aquatic ecosystems.
Optimizing Symbolic Model Checking for Statecharts

Symbolic model checking based on binary decision diagrams is a powerful formal verification technique for reactive systems. In this paper, we present various optimizations for improving the time and space efficiency of symbolic modal checking for systems specified as statecharts. We used these techniques in our analyses of the models of a collision avoidance system and a fault-tolerant electrical power distribution (EPD) system, both used on commercial aircraft. The techniques together reduce the time and space requirements by orders of magnitude, making feasible some analysis that was previously intractable. We also elaborate on the results of verifying the EPD model. The analysis disclosed subtle modeling and logical flaws not found by simulation.
Preserving Privacy as Social Responsibility in Online Social Networks

Online social networks provide an environment for their users to share content with others, where the user who shares a content item is put in charge, generally ignoring others that might be affected by it. However, a content that is shared by one user can very well violate the privacy of other users. To remedy this, ideally, all users who are related to a content should get a say in how the content should be shared. Recent approaches advocate the use of agreement technologies to enable stakeholders of a post to discuss the privacy configurations of a post. This allows related individuals to express concerns so that various privacy violations are avoided up front. Existing techniques try to establish an agreement on a single post. However, most of the time, agreement should be established over multiple posts such that the user can tolerate slight breaches of privacy in return of a right to share posts themselves in future interactions. As a result, users can help each other preserve their privacy, viewing this as their social responsibility. This article develops a reciprocity-based negotiation for reaching privacy agreements among users and introduces a negotiation architecture that combines semantic privacy rules with utility functions. We evaluate our approach over multiagent simulations with software agents that mimic users based on a user study.
Kainate Modulates Presynaptic GABA Release from Two Vesicle Pools

Inhibitory control of local neuronal circuits is critical for prefrontal cortical functioning. Modulation of inhibitory circuits by several neuromodulators has been demonstrated, but the underlying mechanisms are unclear. Neuromodulator effects on synaptic vesicle recycling have received little attention. Controversy also exists whether different pools of synaptic vesicles underlie spontaneous and activity-dependent vesicle recycling. We therefore investigated the effects of kainate receptor activation on GABA release in rat prefrontal neocortex using electrophysiological and styryl dye imaging techniques in acute neocortical slices. Electrophysiological studies demonstrated that activation of kainate receptors increased the frequency, but not the amplitude of miniature IPSCs, suggesting a presynaptic action. Using styryl dye staining and multiphoton excitation microscopy, we visualized vesicular release from inhibitory GABAergic terminals in prefrontal cortical slices and demonstrate that kainate facilitates GABA release from presynaptic terminals. Our findings also indicate the presence of two pools of GABA-containing vesicles within inhibitory terminals. Kainate modulates both pools but only when vesicles are endocytosed and exocytosed by matching protocols of dye loading, i.e., spontaneous or evoked afferent activity.
Childhood, Schooling, and Universal Morality

This chapter contrasts the aims of progressive and traditional state-mandated schooling, and argues that the former represents a new form in the history of Western education, oriented to individual, social and moral reconstruction rather than reproduction, and guided by the evolutionary possibilities inherent in human neoteny. The school is identified as a key site for the reconstruction of civic virtue in its role as a “just community” or embryonic society grounded in the principles and practices of participatory democracy.
Rheological constitutive equation for a model of soft glassy materials

We solve exactly and describe in detail a simplified scalar model for the low frequency shear rheology of foams, emulsions, slurries, etc. [P. Sollich, F. Lequeux, P. Hebraud, M.E. Cates, Phys. Rev. Lett. 78, 2020 (1997)]. The model attributes similarities in the rheology of such ``soft glassy materials'' to the shared features of structural disorder and metastability. By focusing on the dynamics of mesoscopic elements, it retains a generic character. Interactions are represented by a mean-field noise temperature x, with a glass transition occurring at x=1 (in appropriate units). The exact solution of the model takes the form of a constitutive equation relating stress to strain history, from which all rheological properties can be derived. For the linear response, we find that both the storage modulus G' and the loss modulus G'' vary with frequency as \omega^{x-1} for 1<x<2, becoming flat near the glass transition. In the glass phase, aging of the moduli is predicted. The steady shear flow curves show power law fluid behavior for x<2, with a nonzero yield stress in the glass phase; the Cox-Merz rule does not hold in this non-Newtonian regime. Single and double step strains further probe the nonlinear behavior of the model, which is not well represented by the BKZ relation. Finally, we consider measurements of G' and G'' at finite strain amplitude \gamma. Near the glass transition, G'' exhibits a maximum as \gamma is increased in a strain sweep. Its value can be strongly overestimated due to nonlinear effects, which can be present even when the stress response is very nearly harmonic. The largest strain \gamma_c at which measurements still probe the linear response is predicted to be roughly frequency-independent.
Tagging Artists using Co-Occurrences on the Web

We present an efficient unsupervised approach in finding subjective artist meta-data on the world wide web. Since we are interested in the collective knowledge on artists as available on the web, our method is based on the extraction of information from multiple web pages. We use co-occurrences of pairs of artists on the web to identify similarity between artists. To determine the applicability of tags to artists we follow the same approach. We use Google to find the co-occurrences on the web, either by analyzing Google excerpts found by querying patterns or by scanning full documents. Since the same tags are often applicable to related artists, we use similarity between artists to improve the tagging. We tested and compared the two co-occurrence extraction methods on two different domains: finding the most appropriate genres for music artists, and finding art-styles for painters. The results are convincing and show that the use of similar artists indeed improves the precision of the tagging.
On the number of DNA sequence profiles for practical values of read lengths

A recent study by one of the authors has demonstrated the relevance of profile vectors in DNA-based data storage. We provide exact values and lower bounds on the number of profile vectors for finite values of alphabet size q, read length ℓ, and word length n. Consequently, we demonstrate that for q ≥ 3 and n = q<sup>a</sup>ℓ, a = o(ℓ), the number of profile vectors is at least q<sup>κn</sup> for some constant 0 <; κ ≤ 1. In addition to enumeration results, we provide a set of efficient encoding and decoding algorithms for a family of profile vectors.
Fabric Organic Electrochemical Transistors for Biosensors

Flexible fabric biosensors can find promising applications in wearable electronics. However, high‐performance fabric biosensors have been rarely reported due to many special requirements in device fabrication. Here, the preparation of organic electrochemical transistors (OECTs) on Nylon fibers is reported. By introducing metal/conductive polymer multilayer electrodes on the fibers, the OECTs show very stable performance during bending tests. The devices with functionalized gates are successfully used as various biosensors with high sensitivity and selectivity. The fiber‐based OECTs are woven together with cotton yarns successfully by using a conventional weaving machine, resulting in flexible and stretchable fabric biosensors with high performance. The fabric sensors show much more stable signals in the analysis of moving aqueous solutions than planar devices due to a capillary effect in fabrics. The fabric devices are integrated in a diaper and remotely operated by using a mobile phone, offering a unique platform for convenient wearable healthcare monitoring.
Factors Enabling Communication-Based Collaboration in Interprofessional Healthcare Practice: A Case Study

The healthcare system has moved from autonomous practice to a cross-disciplinary interprofessional team-based approach in which communication for collaborative care is vital. Ineffective communication contributes to the team's inability to work collaboratively and significantly increases the possibilities of mistakes occurring in the delivery of patient care. So, effective communication for collaborative care becomes necessary for ensuring patient safety. This paper aims to advance our understandings of current communication-based collaborative healthcare practices. Specifically, it explores the factors enabling communication-based inter-professional practice. A qualitative study was selected for obtaining real life experiences of healthcare professionals. Twenty-five participants participated in the study, and the descriptive interview method was used to obtain qualitative data. The enabling factors were grouped into five main themes: communication, coordination, cooperation, trust, and collaboration. Quotes from the participants are presented to augment the interpretation and enhanced description of the enabling factors. Managerial implications, areas for future research, and limitations are given besides the conclusions of the study.
A behavior priority driven approach for resource reservation scheduling

In this paper a behavioral distinction of soft real-time tasks is introduced. The distinction is based on the behavior of the previous instance of each task and it is used to propose a scheduling algorithm. The algorithm, called BIDS, uses well-known server mechanisms with an extension to handle two priority queues within each server. The priority of a server is managed accordingly to the result that its associated task produce. Along with the formal presentation of the algorithm and the proofs of its properties some performance evaluations based on simulations are included.
African dust aerosols as atmospheric ice nuclei

Measurements of the ice nucleating ability of aerosol particles in air masses over Florida having sources from North Africa support the potential importance of dust aerosols for indirectly affecting cloud properties and climate. The concentrations of ice nuclei within dust layers at particle sizes below 1 μm exceeded 1 cm−3; the highest ever reported with our device at temperatures warmer than homogeneous freezing conditions. These measurements add to previous direct and indirect evidence of the ice nucleation efficiency of desert dust aerosols, but also confirm their contribution to ice nuclei populations at great distances from source regions.
The role of keratin subfamilies and keratin pairs in the formation of human epidermal intermediate filaments

The four major keratins of normal human epidermis (molecular mass 50, 56.5, 58, and 65-67 kD) can be subdivided on the basis of charge into two subfamilies (acidic 50-kD and 56.5-kD keratins vs. relatively basic 58-kD and 65-67-kD keratins) or subdivided on the basis of co- expression into two "pairs" (50-kD/58-kD keratin pair synthesized by basal cells vs. 56.5-kD/65-67-kD keratin pair expressed in suprabasal cells). Acidic and basic subfamilies were separated by ion exchange chromatography in 8.5 M urea and tested for their ability to reassemble into 10-nm filaments in vitro. The two keratins in either subfamily did not reassemble into 10-nm filaments unless combined with members of the other subfamily. While electron microscopy of acidic and basic keratins equilibrated in 4.5 M urea showed that keratins within each subfamily formed distinct oligomeric structures, possibly representing precursors in filament assembly, chemical cross-linking followed by gel analysis revealed dimers and larger oligomers only when subfamilies were combined. In addition, among the four major keratins, the acidic 50-kD and basic 58-kD keratins showed preferential association even in 8.5 M urea, enabling us to isolate a 50-kD/58-kD keratin complex by gel filtration. This isolated 50-kD/58-kD keratin pair readily formed 10-nm filaments in vitro. These results demonstrate that in tissues containing multiple keratins, two keratins are sufficient for filament assembly, but one keratin from each subfamily is required. More importantly, these data provide the first evidence for the structural significance of specific co-expressed acidic/basic keratin pairs in the formation of epithelial 10-nm filaments.