Miracle-dz/UniFAR-FTUs huggingface dataset:
Claims of Affect: Affectivity as a linguistic and sequential phenomenon

This study investigates how conversationalists use emotion in interaction. In analysing audio recordings of American English phone calls, a phenomenon labelled “claims of affect” was found. These are utterances which a speaker uses to claim a particular emotion that he or she feels at a certain point in time and is related to a certain set of events. Linguistically, the phenomenon is versatile in its design. However two main linguistic constructions have emerged. Each structure relies on copular verbs and affective terms. Yet pronoun use differs in each case. The first person pronoun I is commonly used to refer to the speaker herself whereas the third person pronoun it is found to function as a global reference that refers to abstract items such as events, situations and various circumstances. Claims can be located in “pre-cause” and “post- cause” positions. The cause should be understood as a trigger of the emotion that the speaker is claiming to feel. Pre-cause claims topicalise the cause whereas post-cause claims elicit either an aligning or disaligning response depending on the activity the conversationalists are engaged in. The responses of second speakers are typically empathetic. By doing an empathetic response second speakers claim to have access to how the claimer feels. In one fragment, a second speaker has been observed to deny the claimer her right to feel in a certain way. This suggests that one aspect of emotion is that it is a public, social phenomenon and not the private, psychological one that some researchers have argued. Conversationalists negotiate their affective lives with their conversational partners in order for them to confirm that their emotional response to a situation is valid. Their partners will therefore judge if this is so. If it is not the case, they will orient the claimer towards it as being an unreasonable claim. This means that they must be appropriate to the cause. If considered invalid the claimer faces a dispreferred response from the second speaker.
A novel approach to sentence clustering

Sentence clustering is often used as the first step in various information retrieval tasks like automatic text summarization, topic detection and tracking etc. Researchers face difficulty to cluster sentences because a single sentence is less informative compared to document. We present a sentence Feature Based Sentence Clustering, FBSC, which incorporates some sentence level relationship features like transition relationship, anaphoric relationship, and term (word) similarity relationship in association with Markov Clustering Algorithm (MCL) to generate sentence clusters. We observe that Purity of clusters generated by Feature Based Sentence Clustering (FBSC) compared to baseline k-means sentence clustering is better.
Seed dispersal into wetlands: Techniques and results for a restored tidal freshwater marsh

Although seed dispersal is assumed to be a major factor determining plant community development in restored wetlands, little research exists on density and species richness of seed available through dispersal in these systems. We measured composition and seed dispersal rates at a restored tidal freshwater marsh in Washington, DC, USA by collecting seed dispersing through water and wind. Seed dispersal by water was measured using two methods of seed collection: (1) stationary traps composed of coconut fiber mat along an elevation gradient bracketing the tidal range and (2) a floating surface trawl net attached to a boat. To estimate wind dispersal rates, we collected seed from stationary traps composed of coconut fiber mat positioned above marsh vegetation. We also collected a small number of samples of debris deposited along high tide lines (drift lines) and feces of Canada Goose to explore their seed content. We used the seedling emergence method to determine seed density in all samples, which involved placing the fiber mats or sample material on top of potting soil in a greenhouse misting room and enumerating emerging seedlings. Seedlings from a total of 125 plant species emerged, during this study (including 82 in river trawls, 89 in stationary water traps, 21 in drift lines, 39 in wind traps, and 10 in goose feces). The most abundant taxa includedBidens frondosa, Boehmeria cylindrica, Cyperus spp. ,Eclipta prostrata, andLudwigia palustris. Total seedling density was significantly greater for the stationary water traps (212±30.6 seeds/m2/month) than the equal-sized stationary wind traps (18±6.0 seeds/m2/month). Lower-bound estimates of total species richness based on the non-parametric Chao 2 asymptotic estimators were greater for seeds in water (106±1.4 for stationary water traps and 104±5.5 for trawl samples) than for wind (54±6.4). Our results indicate that water is the primary source of seeds dispersing to the site and that a species-rich pool of dispersing propagules is present, an interesting result given the urbanized nature of the surrounding landscape. However, species composition of dispersing seeds differed from vegetation of restored and natural tidal freshwater marshes, indicating that planting is necessary for certain species. At other restoration sites, information on densities of dispersing seeds can support decisions on which species to plant.
The Impact of Disclosure of Nutrition Information on Consumers’ Behavioral Intention in Korea

Objective: To investigate the effect of nutritional information disclosure on consumers' nutritional perception, attitude, and behavioral intention to purchase the food item. Methods: Questionnaires were distributed measuring nutritional perception, attitude, and behavioral intention with different nutritional information about the food (no information, calories only, and six nutritional content information items: food weight(g), calories(kcal), protein(g), sugar(g), sodium(g), and saturated fat(g)). Food items shown to the respondents were hamburgers and bibimbap. Results: Descriptive analysis, analysis of variance, and multiple regression were used in order to examine the effects of nutritional information levels and different food items on consumers' behavioral intentions. Nutritional perception, food attitude, and food choice intention were all affected by levels of nutritional information and different food items. Also, food attitude was a predictor of food choice behavioral intention and was affected by different food items as well. However, results of the study found that objective and subjective knowledge of individuals are not related to their nutritional perception, attitude, and behavioral intention. Conclusions: Results of this study would help restaurant managers to prepare for consumers' demand on disclosure of nutritional information and adjust their menu ingredients for consumers' healthy food inquiries in order to respond to consumers' interests in nutritional information and ensure consumers satisfaction with the perceived nutritional value of food.
Heritability of the Function and Structure of the Arterial Wall: Findings of the Erasmus Rucphen Family (ERF) Study

Background and Purpose— Using 930 individuals connected in a single pedigree from an isolated population, participants of the Erasmus Rucphen Family (ERF) study, we investigated the heritability of carotid–femoral pulse wave velocity (PWV), carotid intima media thickness (IMT), and carotid plaque score. Methods— PWV was measured between the carotid and femoral arteries as an indicator of aortic stiffness. Common carotid IMT and plaque score, quantifying alterations in arterial wall structure, were measured by ultrasonography. Results— All 3 traits were significantly associated with classic cardiovascular risk factors. Age- and gender-adjusted heritability estimates were 0.36 for PWV, 0.41 for carotid IMT, and 0.28 for plaque score. After adjustment for appropriate risk factors, the heritabilities were 0.26, 0.35, and 0.21 for PWV, IMT, and plaque score, respectively. All heritability estimates were statistically significant (P<0.001). Taking into account different proportions of variance associated with covariates for each trait, genetic factors explained ≈12% of the total variability for each of the phenotypes. Conclusions— To our knowledge, this is the first report on the heritability of PWV. The heritability estimates of IMT and plaque score were similar to those in previous reports. We conclude that genetic factors significantly contribute to arterial structure and function in this isolated population, presenting the opportunity to locate susceptibility genes related to cardiovascular disorders.
Organizational change and the psychological contract : How change influences the perceived fulfillment of obligations

Purpose – This study aims to examine how organizational change and attitude towards change affects the fulfillment of the psychological contract. The influence of type of change, impact of change, former change experiences and frequency of change on fulfillment of the psychological contract is assessed, as well as the influence on the employee's attitude towards change. Design/methodology/approach – Regression analyses were carried out to test the effects of the change antecedents and the attitude towards change on the fulfillment of the psychological contract and to test the effects of the change determinants on the attitude towards change. The data used in this study are from 161 respondents working for different organizations who completed an online questionnaire. Findings – The results show that type of change, impact and former experience with organizational change influence attitude towards change. With respect to the fulfillment of the psychological contract, only frequency, former experiences and .
Occult systemic lupus erythematosus with active lupus nephritis presenting as Libman-Sacks endocarditis

The diagnosis of systemic lupus erythematosus (SLE) depends on clinical evidence of renal, rheumatologic, cutaneous, and neurologic involvement, supported by serological markers. A previously healthy 14-year-old girl presented with Libman-Sacks endocarditis involving the aortic valve as the first manifestation of SLE. Even though she did not satisfy the American College of Rheumatology criteria for diagnosing SLE, she had anemia, proteinuria, elevated erythrocyte sedimentation rate, low complement 4 (C4) levels, and strongly positive antinuclear antibody titer. A renal biopsy showed stage IV lupus nephritis. Treatment was initiated with immunosuppressants and steroids. This type of presentation may be misdiagnosed as infective endocarditis missing the underlying collagen vascular disease.
Successful management of acute myeloid leukemia transformed from chronic myelomonocytic leukemia in the elderly by a combination regimen of decitabine and cytarabine, aclarubicin and granulocyte colony-stimulating factor: A case report

Despite advances in the treatment of acute myeloid leukemia (AML) in recent years, the outcome of elderly AML patients with antecedent hematological disorders remains unsatisfactory. The present study describes a case of complete remission in an elderly patient with AML transformed from chronic myelomonocytic leukemia (CMML) and the treatment of the case with decitabine in combination with cytarabine, aclarubicin and granulocyte colony-stimulating factor (CAG). A 70-year-old male was admitted with fever, pruritus and weakness that had been apparent for two weeks, and a two-year history of monocytosis (22.5–27.0%). Further examinations revealed a hemoglobin level of 106 g/l, a white blood cell count of 39.52×109/l, a platelet count of 81×109/l, Y chromosome loss and uniparental disomy on chromosomes 4q, 2q and 19p. The patient was diagnosed with AML transformed from CMML, with cytogenetic anomalies. A combination regimen of decitabine and CAG was administered. Subsequent to one cycle, the patient achieved complete remission. The patient was then followed up with three courses of the same regimen and achieved clinical remission, with no evidence of AML relapse. The present study suggests that a combination of low-dose decitabine and CAG may offer a novel and potentially effective treatment regimen for elderly AML patients.
Development of a national competitiveness index based on a structural equation model

In this paper, we propose a national competitiveness index using raw Institute of Management Development (IMD) data and try to overcome a shortcoming in the IMD's own ranking system. The IMD world competitiveness ranking considers 20 factors to define an index, but it does not consider the structural relationships among various factors. We utilise a structural equation model to derive a national competitiveness index that reflects such structural relationships. We then reveal new rankings of world competitiveness. In addition, we conducted a comparison analysis by economy level and identified improvement points in terms of measurement variables as well as latent variables. Our work is expected to promote a new era of national competitiveness rankings and indices.
Formal analysis of bandwidth enhancement for high-performance active-input current mirror

High-performance CMOS current mirrors are used in a large variety of circuit as fundamental elements of analog design. As a consequence, several topologies have been proposed over the years to improve their performances. Among these solutions, the active input is mainly used to improve the speed of high-performance current mirrors. In this paper, we develop a complete formalism to evaluate the potential gain that can be expected using this topology. It allows designers to compute the optimal solution for their current source architecture. Then, comparative case studies are given to demonstrate the efficiency of our formalism to estimate capabilities and limits of the active-input current mirror topology.
Spontaneous transient outward currents in single visceral and vascular smooth muscle cells of the rabbit.

1. Whole‐cell membrane current recordings under voltage clamp were made at room temperature from dispersed single cells of longitudinal smooth muscle of rabbit jejunum and dispersed single smooth muscle cells of rabbit ear artery using patch pipettes containing up to 10 mM‐EGTA Ca buffer. 2. Spontaneous transient outward currents (s.t.o.c.s) up to 250 pA in size and about 100 ms in duration were observed in conditions which might lead to an elevated internal Ca concentration. The amplitude distribution in some cells and form of the currents suggested that they were evoked by a quantal stimulus. 3. S.t. o.c. amplitude was voltage dependent and reversed at the K equilibrium potential. S.t. o.c. s. were blocked by 1 mM‐tetraethylammonium or 10 mM‐Ba applied externally or by perfusing Cs inside the cell. 4. Removing external Ca abolished s.t. o.c. activity in the jejunal cells but not in arterial cells. Increasing EGTA buffering within the cells from 1 mM or less to 10 mM abolished activity in both cell types. 5. Caffeine (5 mM) applied to the bathing solution stimulated rapid discharge of transient outward currents and then a prolonged period of inhibition. The stimulated discharge was sensitive to external Ca in jejunal cells but much less so in arterial cells. ACh applied by ionophoresis to jejunal cells or noradrenaline bath‐applied onto arterial cells also stimulated discharge of transients followed by a prolonged inhibitory phase. 6. It was suggested that s.t. o.c. s represent the simultaneous opening of up to 75‐100 Ca‐activated K channels at ‐40 mV in response to sudden discharge of Ca from internal stores when these became overloaded, and that this process may occur cyclically.
How emotional is transformational leadership really?: Some suggestions for a necessary extension

Purpose – This paper seeks to investigate the significance of emotions in transformational leadership (TL), particularly the explicit and implicit coverage of emotional dimensions and emotional intelligence (EI) competencies within the specific components of TL. The goal is to contribute an extension to the concept of TL.Design/methodology/approach – Systematically, the paper reveals the coverage and emotional ties of TL as operationalised through the Multifactor Leadership Questionnaire (MLQ). For analysing the emotional quality of the MLQ an interpretative method is used. This hermeneutic and qualitative investigation shows which emotions, respectively dimensions, functions and effects of emotions are entailed in the specific components. Then, based on a comparison of a refined EI framework, EI competencies are related to specific dimensions of TL.Findings – The interpretative analysis shows that the TL and the MLQ have not integrated emotions and emotional competencies systematically. Facing conceptual.
A comparative study on transformer less full bridge inverter for ozone generator

This paper proposes a Transformer less full bridge invert with resonant inductor operated in pulse width modulation and phase shifted pulse width modulation for ozone generator, to overcome the usage of transformer in the electrical circuit. Ozone cell is modelled with the parallel combination of resistor and capacitors, and Dielectric Barrier Discharge is carried out to produce the ozone. The proposed model is simulated using MATLAB and the power consumption by the cell is validated with different phase angle shifted and tabulated. The proposed model is up to the level of the transformer based model. The advantage of the system is by using the resonant inductor itself can generate the required voltage level to produce the ozone. And comparison is made between the ordinary and Phase shifted pulse width modulation.
A Time-of-Flight 3-D Image Sensor With Concentric-Photogates Demodulation Pixels

In this paper, we develop pixels with concentric-photogates for applications in time-of-flight 3-D image sensors with single-tap architecture. The pixel uses a buried-channel device and features a reduced effective electron transit length, for the rapid transfer of a signal electron. A reduction in the interpixel irregularity of signal levels and a consequent increase in the demodulation signal amplitude are observed in the single-tap operation mode as opposed to the multitap operation mode. Specifically, we are able to achieve a demodulation contrast higher than 50% from 20 MHz modulation of an 850 nm light-emitting diode illumination. Finally, we construct a sensor composed of 198 × 108 concentric photogate pixels, each with a pitch of 28 μm, and use it to generate a 3-D image conveying gross distance information and detailed object features with a distance error of less than 1% over a range of 1 to 7 m.
Low-latency lossless compression using dual-stream coding

Lossless compression in data-bus systems and storage devices will be effective to improve the performance of data intensive computings which require high-throughput data transfers between components, e.g., processing nodes, memory modules, and storage devices. For such applications, the latency and throughput of codec will be important factors as well as the compression ratio. This paper proposes a low-latency high-throughput compression algorithm suitable for hardware implementation. The algorithm has two coding streams, namely, differential-word and parameter-word codings, which can be executed in parallel. A naive codec is designed using Verilog-HDL, and implementation results show that the complexity and throughput are comparable to conventional low-latency compression algorithms. The compression ratio is evaluated by computer simulation, and the results show that the proposed algorithm has superior compression ratios compared to the conventional algorithm.
A pyramidal coder using a nonlinear filter bank

We propose a novel pyramidal coder, which resembles the general structure of a JPEG coder, but which uses a nonlinear transform to replace the DCT. The nonlinear transform is obtained by the hierarchical application of a median filter predictor at subsampled versions of the original signal. The transformed samples are grouped into square blocks and used to replace the DCT in the JPEG baseline coder. The proposed coder shows several advantages: computation is greatly reduced compared to the DCT, image edges are better encoded, blocking is eliminated, and it allows lossless coding. Objective comparisons show the superiority of the proposed coder against both baseline and lossless JPEG.
Optimal sparse L1-norm principal-component analysis

We present an algorithm that computes exactly (optimally) the S-sparse (1≤S<D) maximum-L<inf>1</inf>-norm-projection principal component of a real-valued data matrix X ∈ ℝ<sup>D×N</sup> that contains N samples of dimension D. For fixed sample support N, the optimal L<inf>1</inf>-sparse algorithm has linear complexity in data dimension, O(D). For fixed dimension D (thus, fixed sparsity S), the optimal L<inf>1</inf>-sparse algorithm has polynomial complexity in sample support, O(N<sup>S</sup>). Numerical studies included in this paper illustrate the theoretical developments and demonstrate the remarkable robustness to faulty data/measurements of the calculated sparse-L<inf>1</inf> principal components.
Identifying predator-prey processes from time-series.

The functional response is a key element in predator-prey models as well as in food chains and food webs. Classical models consider it as a function of prey abundance only. However, many mechanisms can lead to predator dependence, and there is increasing evidence for the importance of this dependence. Identification of the mathematical form of the functional response from real data is therefore a challenging task. In this paper we apply model-fitting to test if typical ecological predator-prey time series data, which contain both observation error and process error, can give some information about the form of the functional response. Working with artificial data (for which the functional response is known) we will show that with moderate noise levels, identification of the model that generated the data is possible. However, the noise levels prevailing in real ecological time-series can give rise to wrong identifications. We will also discuss the quality of parameter estimation by fitting differential equations to such time-series.
Chebyshev Affine-Arithmetic-Based Parametric Yield Prediction Under Limited Descriptions of Uncertainty

Due to the hard-to-measure distributions of real process data, it is difficult to provide accurate parametric yield prediction for modern circuit design. Most existing approaches are not able to handle the uncertain distribution properties coming from the process data. Other approaches are inadequate in considering correlations among the distributions of variations. This paper suggests a new approach that not only takes care of correlations among distributions but also provides a low-cost and efficient computation scheme. The proposed method approximates the parameter variations with Chebyshev affine arithmetic (CAA) to capture both the uncertainty and nonlinearity in a cumulative distribution function. The CAA-based probabilistic range presentation describes, both fully and partially, specified process and environmental parameters. Thus, we are able to predict the probability bounds for leakage consumption with unknown dependences among variations. The end result is the chip-level parametric yield estimation based on leakage prediction. Experimental results demonstrate that the new approach provides a reliable bound estimation, which leads to a 20% yield improvement compared with only using the intervals of partially specified uncertainties.