Danube as a symbol of Europe. Perception of the river from varied geographical perspectives

The Danube is promoted as a pan-European river, what can be justified for instance by the vast range of its drainage basin, covering 19 countries on both sides of the historical border diving Eastern and Western Europe. Differentiation of imaginations of Danube course from the perspective of 7 European cities, based on research covering 1577 respondents, conducted between 2005–2007 and 2016–2018 has been presented in the paper. Maps presenting the generalized imagination of river course have been generated for each city. It has been proved that in spite of substantial political, economical and symbolical importance of this river for big part of Europe, the course of Danube remains unknown for inhabitants of its Western part, in parallel to more correct recognition of the river by students from Eastern Europe. It has been shown that the perception does not change despite the progressing integration processes.

Detection of Brominated Plastics from E-Waste by Short-Wave Infrared Spectroscopy

In this work, the application of Short-Wave Infrared (SWIR: 1000–2500 nm) spectroscopy was evaluated to identify plastic waste containing brominated flame retardants (BFRs) using two different technologies: a portable spectroradiometer, providing spectra of single spots, and a hyperspectral imaging (HSI) platform, acquiring spectral images. X-ray Fluorescence (XRF) analysis was preliminarily performed on plastic scraps to analyze their bromine content. Chemometric methods were then applied to identify brominated plastics and polymer types. Principal Component Analysis (PCA) was carried out to explore collected data and define the best preprocessing strategies, followed by Partial Least Squares—Discriminant Analysis (PLS-DA), used as a classification method. Plastic fragments were classified into “High Br content” (Br > 2000 mg/kg) and “Low Br content” (Br < 2000 mg/kg). The identified polymers were acrylonitrile butadiene styrene (ABS) and polystyrene (PS). Correct recognition of 89–90%, independently from the applied technique, was achieved for brominated plastics, whereas a correct recognition ranging from 81 to 89% for polymer type was reached. The study demonstrated as a systematic utilization of both the approaches at the industrial level and/or at laboratory scale for quality control can be envisaged especially considering their ease of use and the short detection response.

Do not (Just) Think, But (Also) Feel!: Empirical Corroboration of Emotion-Involved Processing Hypothesis on Foreign Language Lexical Retention

Emotion plays important roles in learning, memory, and other cognitive processes; it does so not only in the form of macro-level emotion (e.g., salient affective states and self-reportable motivational currents) but also in the form of micro-level emotion (e.g., subtle feelings and linguistic attributes that are usually processed subconsciously without special attention). According to the Emotion-Involved Processing Hypothesis (EIPH), processing that draws attention to emotional aspects (EmInvProc+) is postulated as a deeper version of semantic processing which has cognitive advantage to facilitate linguistic processing and retention more than non-emotional semantic processing (EmInvProc−). This study empirically investigated whether the EIPH can be experimentally corroborated for learners of a distant foreign language (viz., Japanese learners of English). In the experiment, participants processed visually presented English words that were either positively or negatively valenced under different conditions, followed by the test session in which they engaged in memory tests. Two processing modes were compared (EmInvProc+ vs. EmInvProc−). The dependent variables were correct recall frequency, correct recognition frequency, and correct recognition reaction time. It was revealed that EmInvProc+ was more cognitively facilitatory in making stronger foreign language lexical memory traces than EmInvProc− for all the measures employed in the experiment, regarding both accuracy (correct response frequency) and fluency (correct response reaction time). Therefore, it is implied that EmInvProc+ can be regarded as a sui generis deeper level of processing that is qualitatively distinguishable from mere semantic processing, supporting the Emotion-Involved Processing Hypothesis.

Punch Trackers: Correct Recognition Depends on Punch Type and Training Experience

To determine the ability of different punch trackers (PT) (Corner (CPT), Everlast (EPT), and Hykso (HPT)) to recognize specific punch types (lead and rear straight punches, lead and rear hooks, and lead and rear uppercuts) thrown by trained (TR, n = 10) and untrained punchers (UNTR, n = 11), subjects performed different punch combinations, and PT data were compared to data from video recordings to determine how well each PT recognized the punches that were actually thrown. Descriptive statistics and multilevel modelling were used to analyze the data. The CPT, EPT and HPT detected punches more accurately in TR than UNTR, evidenced by a lower percentage error in TR (p = 0.007). The CPT, EPT, and HPT detected straight punches better than uppercuts and hooks, with a lower percentage error for straight punches (p < 0.001). The recognition of punches with CPT and HPT depended on punch order, with earlier punches in a sequence recognized better. The same may or may not have occurred with EPT, but EPT does not allow for data to be exported, meaning the order of individual punches could not be analyzed. The CPT and HPT both seem to be viable options for tracking punch count and punch type in TR and UNTR.

STEP-BY-STEP ALGORITHM FOR ANALYZING AND ACCOUNTING FOR A CONTRACT WITH A BUYER IN ACCORDANCE WITH IFRS 15

The article offers a step-by-step algorithm for developing an approach to accounting for reve-nue under a contract with a buyer. The practice of applying IFRS 15 shows that a frequent problem of the correct recognition of revenue may be the lack of a qualitative analysis of the concluded contract and omis-sions of important terms of transactions and requirements of the standard. The step-by-step algorithm pro-posed below structures the requirements of the standard and ensures the correctness of their application without gaps.

Reducing False Recognition in the Deese-Roediger/McDermott Paradigm: Related Lures Reveal How Distinctive Encoding Improves Encoding and Monitoring Processes

In the Deese-Roediger/McDermott (DRM) paradigm, distinctive encoding of list items typically reduces false recognition of critical lures relative to a read-only control. This reduction can be due to enhanced item-specific processing, reduced relational processing, and/or increased test-based monitoring. However, it is unclear whether distinctive encoding reduces false recognition in a selective or global manner. To examine this question, participants studied DRM lists using a distinctive item-specific anagram generation task and then completed a recognition test which included both DRM critical lures and either strongly related lures (Experiment 1) or weakly related lures (Experiment 2). Compared to a read-control group, the generate groups showed increased correct recognition and decreased false recognition of all lure types. We then estimated the separate contributions of encoding and retrieval processes using signal-detection indices. Generation improved correct recognition by both increasing encoding of memory information for list words and by increasing memory monitoring at test. Generation reduced false recognition by reducing the encoding of memory information and by increasing memory monitoring at test. The reduction in false recognition was equivalent for critical lures and related lures, indicating that generation globally reduces the encoding of related non-presented items at study (not just critical lures), while globally increasing list-theme-based monitoring at test.

Study on face recognition under unconstrained conditions based on LBP and deep learning

At present, the correct recognition rate of face recognition algorithm is limited under unconstrained conditions. To solve this problem, a face recognition algorithm based on deep learning under unconstrained conditions is proposed in this paper. The algorithm takes LBP texture feature as the input data of deep network, and trains the network layer by layer greedily to obtain optimized parameters of network, and then uses the trained network to predict the test samples. Experimental results on the face database LFW show that the proposed algorithm has higher correct recognition rate than some traditional algorithms under unconstrained conditions. In order to further verify its effectiveness and universality, this algorithm was also tested in YALE and YALE-B, and achieved a high correct recognition rate as well, which indicated that the deep learning method using LBP texture feature as input data is effective and robust to face recognition.

What regions of Chinese characters are crucial for recognition? A web-based study

The study involves approximately 250 Chinese university students from eight institutions to determine what parts of a representative sample of Chinese characters are crucial to their correct identification. A web-based experimental platform was used to present 102 simplified characters to participants. The characters were partially obscured using a Gaussian blurring technique. The direction of maximum blur could either be from top to bottom, bottom to top, left to right, or right to left. Participants were asked to identify the blurred character and type its pinyin. Overall, participants correctly identified 88% of characters. The effects of all forms of blurring on correct recognition were correlated with character structures. Phonetic radicals seem to be more sensitive to the blurring than semantic radicals, while the radical transparency and radical frequency also play a role in the recognition accuracy. The blurring conditions that impacted most significantly on correct recognition were top to bottom and bottom to top, which caused, respectively, the upper and lower parts of the character to be obscured.

0116 Opposing Effects of Sleep on The Misinformation Effect: Sleep Promotes and Prevents Memory Distortion

Introduction The effect of sleep on false memory is equivocal. In the Deese-Roediger-McDermott illusory memory paradigm, some work shows that sleep increases false recall whereas other work shows that sleep decreases false recognition. Given these ambiguous findings, we sought to investigate the effect of sleep on false memory using the misinformation paradigm. Methods Participants watched a short film depicting a home burglary, received misinformation about the film, and were tested on their memory for the film. The recognition test was given after a 12-hour retention interval that included either sleep or wake. We manipulated the time at which participants received misinformation. Half were given misinformation after encoding (before sleep or wake) and the other half were given misinformation after the retention interval (after sleep or wake). Results There was a main effect of condition on correct recognition; participants in the sleep group showed higher correct recognition than those in the wake group. On false memory, there was a main effect of timing of misinformation and an interaction between condition and timing of misinformation. That is, the effect of sleep on false memory depended on when misinformation was administered. If misinformation was given after the retention interval, false memory tended to be lower after sleep than wake whereas if misinformation was given before the retention interval, false memory tended to be higher after sleep than wake. Conclusion Sleep can both protect against and facilitate memory distortion depending on when misinformation is encountered. These results inform our understanding of consolidation processes. When consolidation acts on true memory alone, it strengthens that memory making it resistant to distortion. Conversely, when misinformation is presented before consolidation, sleep may integrate misinformation into memory for the true event, increasing distortion. This work has important theoretical implications for memory consolidation and important applied implications for interrogation practices. Support N/A