Abstract. Purpose Discrimination between end-feel types is difficult, and years of clinical experience is considered a factor for improving the accuracy of the discrimination. The present study ...investigated whether the accuracy of classification of end-feel types improves with the increase in years of clinical experience. Participants and Methods In total, 44 therapists (range of years of clinical experience: 1-26 years) and 13 students were included. The participants identified the type of end feel simulated by our newly developed simulator. The proportion of correct answers of the therapists was compared with that of the students. For the therapists, years of clinical experience and their awareness of end feel were examined, and their relationships with the ability to classify end-feel types were analyzed. Results The therapists showed a higher ability to identify end-feel type than the students. The ability of the therapists improved according to their years of clinical experience. The cutoff values for years of clinical experience to improve the ability for identifying bone-to-bone, muscular, and tissue approximations were 15, 6, and 15, respectively. The therapists who were always conscious about end feel were associated with a higher ability to classify end-feel types. Conclusion Our present study demonstrated that the ability to classify end feel improves with the increase in years of clinical experience.
Human behavioral response to ground motion produced by earthquakes has been the subject of response readiness campaigns like the Great ShakeOut, conventional wisdom regarding how people respond as ...portrayed in news media, a small but growing social science literature and, in earlier versions of the Modified Mercalli Intensity scale, one component of the assignment of intensities to earthquakes. This study drew on the extensive USGS "Did you feel it?" (DYFI) database to explore human behavioral response in 12 earthquakes that occurred between 2005 and 2018 in 8 countries. These earthquakes varied from moderate in magnitude to very large and destructive events. Some occurred in developed nations with extensive earthquake preparedness campaigns and advanced building codes and others in developing nations with almost no attention to the hazards posed by earthquakes and no seismic provisions in building codes. Our objective was to describe and analyze the behaviors reported by those who navigated to the DYFI site and reported how they responded.
Este artículo es una exploración del potencial crítico de los controles de juego deliberadamente incómodos más allá de los usos de comedia que mayoritariamente se le han dado en conjunción con ...físicas descontroladas.
Purpose Discrimination between end-feel types is difficult, and years of clinical experience is considered a factor for improving the accuracy of the discrimination. The present study investigated ...whether the accuracy of classification of end-feel types improves with the increase in years of clinical experience. Participants and Methods In total, 44 therapists (range of years of clinical experience: 1–26 years) and 13 students were included. The participants identified the type of end feel simulated by our newly developed simulator. The proportion of correct answers of the therapists was compared with that of the students. For the therapists, years of clinical experience and their awareness of end feel were examined, and their relationships with the ability to classify end-feel types were analyzed. Results The therapists showed a higher ability to identify end-feel type than the students. The ability of the therapists improved according to their years of clinical experience. The cutoff values for years of clinical experience to improve the ability for identifying bone-to-bone, muscular, and tissue approximations were 15, 6, and 15, respectively. The therapists who were always conscious about end feel were associated with a higher ability to classify end-feel types. Conclusion Our present study demonstrated that the ability to classify end feel improves with the increase in years of clinical experience.
•Hand-feel soil texture and particle-size distribution are compared using a large database.•The overall accuracy of hand-feel soil texture class allocation was 73%•Most discrepancies were explained ...by very fine and coarse sand content.•Predicting soil water retention at pF2 using hand-feel texture gave satisfactory results.
Due to cost constraints, field texture classes estimated by hand-feel by soil surveyors are more abundant than laboratory measurements of particle-size distribution. Thus, there is a considerable potential to use field-estimated soil textures for mapping on the condition that they are reliable and can be characterized by a probability distribution function similar to values obtained by laboratory measurements. This study aimed to investigate and elucidate the differences between the field texture classes estimated by hand-feel and soil texture determined from particle-size analysis under laboratory conditions in a region of Central France. We tested several hypotheses to explain the discrepancies between field estimates and laboratory measurements (organic C content, pH, more detailed particle-size analyses, and CEC). Finally, we simulated the consequences of using particle-size distribution estimated from field texture on a pedotransfer function (PTF) for water retention. Laboratory measurements of clay, silt, and sand content for each field texture class were available for about 17,400 samples. Considering laboratory measurements and the French texture triangle as the reference, the overall accuracy of field texture class allocation was 73%, which was better than most of the results previously reported in the literature. When looking at each field texture class, most predictions were consistent; however, there were noticeable differences between a few field texture classes and particle-size classes. The extreme texture classes located at the corners of the texture triangle were better predicted than those located at the centre of the triangle. We found the discrepancy of field texture classes can be explained by the very fine sand (50–100 µm) and very coarse sand (1000–2000 µm) contents. Based on the particle-size distribution from each field texture class, we calculated their joint probability distribution function of their corresponding laboratory measurements of clay, silt, and sand content. Results showed that PTF values predicted using hand-feel texture were consistent with those obtained with the measured particle-size distribution. Overall, we demonstrated the value of hand-feel texture in expanding the soil texture database and supporting the expansion of the national database to inform soil water retention properties.
The Sara-sara feel, which means “a state in which things are not damp or sticky and feel dry,” is a preferred tactile sensation when people touch human skin, hair, clothing, and cosmetics. In this ...study, the Sara-sara feel was evaluated for silicone powder, cellulose powder, hydrophobized sericite powder, and various mixes of these powders. It was found that the highest Sara-sara feel score was achieved by the silicone powder. A multiple regression analysis showed that the Sara-sara feel was strongly correlated with a slippery feel. The relationship between certain physical properties, e.g., particle size distribution, and the slippery feel was analyzed to demonstrate how the subjects felt the slippery feel. It was observed that as the friction coefficient µk was reduced, most subjects strongly felt the slippery feel. This coefficient slightly decreased when the composition of spherical silicone powder increased, because the contact area between spherical particles is smaller than that between plate and amorphous particles.
Using an inductive theory-development study, a field experiment, and a longitudinal field test, we examine early-stage entrepreneurial investment decision making under conditions of extreme ...uncertainty. Building on existing literature on decision making and risk in organizations, intuition, and theories of entrepreneurial financing, we test the effectiveness of angel investors' criteria for making investment decisions. We found that angel investors' decisions have several characteristics that have not been adequately captured in existing theory: angel investors have clear objectives—risking small stakes to find extraordinarily profitable investments, fully expecting to lose their entire investment in most cases—and they rely on a combination of expertise-based intuition and formal analysis in which intuition trumps analysis, contrary to reports in other investment contexts. We also found that their reported emphasis on assessments of the entrepreneur accurately predicts extraordinarily profitable venture success four years later. We develop this theory by examining situations in which uncertainty is so extreme that it qualifies as unknowable, using the term "gut feel" to describe their dynamic emotion-cognitions in which they blend analysis and intuition in ways that do not impair intuitive processes and that effectively predict extraordinarily profitable investments.
The article examines the discourse of Slovenia’s official tourism brand I Feel Slovenia. It presents a study of the English version of the official website, focusing on the ways in which the text ...establishes connections between emotions and emotions in the construction of the brand. Special attention is paid to the role of the word green in the discourse construction of Slovenia’s official image. The study is based on the framework of evaluative language (Martin and White 1995). The analysis shows that the word green is primarily used as a value-laden term, functioning as a placeholder for different evaluative meanings. The word green ties different strands of Slovenia’s image into a holistic concept rooted in the English-language slogan I Feel Slovenia and the label Slovenia Green.
Članek obravnava diskurz uradne slovenske turistične znamke I Feel Slovenia. Predstavlja raziskavo angleške verzijo uradne spletne strani, zlasti ugotovitve o tem, kako se v besedilih konceptualno povezujejo čustva in vrednote trajnostnega razvoja. Analiza se osredotoča zlasti na vlogo besede zelen v diskurzni konstrukciji uradne znamke Slovenije. Raziskava temelji na teoriji jezika vrednotenja (Martin in White 1995). Analiza besedil kaže, da se beseda zelen uporablja predvsem kot izraz vrednotenj. Deluje kot označevalec vrednot in sodb in povezuje različne sklope slovenske identitete v celostni koncept, ki izhaja iz slogana I Feel Slovenia in oznake Slovenia Green.
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