Miracle-dz/UniFAR-FTUs huggingface dataset:
Warm season streamflow variability in the Korean Han River Basin: Links with atmospheric teleconnections

Warm season (June–September) hydroclimatology is a key determinant of freshwater supplies in the Korean Peninsula. In the Han River Basin, nearly three‐fourths of annual discharge occurs during the warm season. Given the increased reliance on water supplies for numerous human and ecosystem functions, an integrated view of water supplies within the context of the regional hydroclimate will aid efforts to achieve water resources sustainability. To that end, this diagnostic study investigates several key aspects of the Han River hydrologic regime: (i) the warm season hydroclimatology; (ii) understanding the relative contribution of typhoon and non‐typhoon precipitation events to warm season streamflow; and (iii) relationships with large‐scale atmospheric teleconnections patterns and the implied seasonal predictability. Statistical analysis of modelled unimpaired streamflow indicates that the East Atlantic‐Western Russia (EA–WR) teleconnection pattern modulates the Han River streamflow during the warm season. Furthermore, a linear modelling approach using the EA–WR and East Atlantic (EA) teleconnection indices offers a useful empirical framework for understanding the systematic shifts in streamflow probability distributions. Based on these results, potential use of this information for multi‐objective water resources management, environmental flow prescriptions, proactive use of seasonal forecasts, and some open questions are briefly discussed. Copyright © 2010 Royal Meteorological Society
Multimodal Integration and Vividness in the Angular Gyrus During Episodic Encoding and Retrieval

Much evidence suggests that the angular gyrus (AnG) is involved in episodic memory, but its precise role has yet to be determined. We examined two possible accounts within the same experimental paradigm: the “cortical binding of relational activity” (CoBRA) account (Shimamura, 2011), which suggests that the AnG acts as a convergence zone that binds multimodal episodic features, and the subjectivity account (Yazar et al., 2012), which implicates AnG involvement in subjective mnemonic experience (such as vividness or confidence). fMRI was used during both encoding and retrieval of paired associates. During study, female and male human participants memorized picture-pairs of common objects (in the unimodal task) or of an object-picture and an environmental sound (in the crossmodal task). At test, they performed a cued-recall task and further indicated the vividness of their memory. During retrieval, BOLD activation in the AnG was greatest for vividly remembered associates, consistent with the subjectivity account. During encoding, the same effect of vividness was found, but this was further modulated by task: greater activations were associated with subsequent recall in the crossmodal than the unimodal task. Therefore, encoding data suggest an additional role to the AnG in crossmodal integration, consistent with its role at retrieval proposed by CoBRA. These results resolve some of the puzzles in the literature and indicate that the AnG can play different roles during encoding and retrieval as determined by the cognitive demands posed by different mnemonic tasks. SIGNIFICANCE STATEMENT We offer new insights into the multiplicity of processes that are associated with angular gyrus (AnG) activation during encoding and retrieval of newly formed memories. We used fMRI while human participants learned and subsequently recalled pairs of objects presented to the same sensory modality or to different modalities. We were able to show that the AnG is involved when vivid memories are created and retrieved, as well as when encoded information is integrated across different sensory modalities. These findings provide novel evidence for the contribution of the AnG to our subjective experience of remembering alongside its role in integrative processes that promote subsequent memory.
MILLISECOND PULSAR SCINTILLATION STUDIES WITH LOFAR: INITIAL RESULTS

High-precision timing of millisecond pulsars (MSPs) over years to decades is a promising technique for direct detection of gravitational waves at nanohertz frequencies. Time-variable, multi-path scattering in the interstellar medium is a significant source of noise for this detector, particularly as timing precision approaches 10 ns or better for MSPs in the pulsar timing array. For many MSPs, the scattering delay above 1 GHz is at the limit of detectability; therefore, we study it at lower frequencies. Using the LOw-Frequency ARray (LOFAR) radio telescope, we have analyzed short (5–20 minutes) observations of 3 MSPs in order to estimate the scattering delay at 110–190 MHz, where the number of scintles is large and, hence, the statistical uncertainty in the scattering delay is small. We used cyclic spectroscopy, still relatively novel in radio astronomy, on baseband-sampled data to achieve unprecedented frequency resolution while retaining adequate pulse-phase resolution. We detected scintillation structure in the spectra of the MSPs PSR B1257+12, PSR J1810+1744, and PSR J2317+1439 with diffractive bandwidths of 6 ± 3, 2.0 ± 0.3, and ∼7 kHz, respectively, where the estimate for PSR J2317+1439 is reliable to about a factor of two. For the brightest of the three pulsars, PSR J1810+1744, we found that the diffractive bandwidth has a power-law behavior Δνd∝να, where ν is the observing frequency and α = 4.5 ± 0.5, consistent with a Kolmogorov inhomogeneity spectrum. We conclude that this technique holds promise for monitoring the scattering delay of MSPs with LOFAR and other high-sensitivity, low-frequency arrays like the low-frequency component of the Square Kilometre Array.
Integration of Autonomous Wireless Sensor Networks in Academic School Gardens

In this work, the combination of capabilities provided by Wireless Sensor Networks (WSN) with parameter observation in a school garden is employed in order to provide an environment for school garden integration as a complementary educational activity in primary schools. Wireless transceivers with energy harvesting capabilities are employed in order to provide autonomous system operation, combined with an ad-hoc implemented application called MySchoolGardenApp, based on a modular software architecture. The system enables direct parameter observation, data analysis and processing capabilities, which can be employed by students in a cloud based platform. Providing remote data access allows the adaptation of content to specific classroom/homework needs. The proposed monitoring WSN has been deployed in an orchard located in the schoolyard of a primary school, which has been built with EnOcean’s energy harvesting modules, providing an optimized node device as well network layout. For the assessment of the wireless link quality and the deployment of the modules, especially the central module which needs to receive directly the signals of all the sensor modules, simulation results obtained by an in-house developed 3D Ray Launching deterministic method have been used, providing coverage/capacity estimations applicable to the specific school environment case. Preliminary trials with MySchoolGardenApp have been performed, showing the feasibility of the proposed platform as an educational resource in schools, with application in specific natural science course content, development of technological skills and the extension of monitoring capabilities to new context-aware applications.
The Virtual Personalities Neural Network Model: Neurobiological Underpinnings

Abstract The Virtual Personalities Model is a motive-based neural network model that provides both a psychological model and a computational implementation that explicates the dynamics and often large within-person variability in behavior that arises over time. At the same time the same model can produce—across many virtual personalities—between-subject variability in behavior that when factor analyzed yields familiar personality structure (e.g., the Big Five). First, we describe our personality model and its implementation as a neural network model. Second, we focus on detailing the neurobiological underpinnings of this model. Third, we examine the learning mechanisms, and their biological substrates, as ways that the model gets “wired up,” discussing Pavlovian and Instrumental conditioning, Pavlovian to Instrumental transfer, and habits. Finally, we describe the dynamics of how initial differences in propensities (e.g., dopamine functioning), wiring differences due to experience, and other factors could operate together to develop and change personality over time, and how this might be empirically examined. Thus, our goal is to contribute to the rising chorus of voices seeking a more precise neurobiologically based science of the complex dynamics underlying personality.
Spoof-Resilient Distributed Observers for LTI Systems

For a Linear Time-Invariant (LTI) system, a network of observers is considered where through asynchronous (with bounded delay) communications, they all obtain the state variables of the LTI system. In such setting, a new type of adversarial nodes might affect the observation process by impersonating the identity of the regular nodes, which is a violation against communication authenticity. The estimated state variables are flowed from the sets of source nodes, which can detect a portion of the state variables each, to the other follower nodes. The regular nodes, to avoid getting misguided by the impersonation threats, filter the extreme values. A topological condition based on graph strongly robustness is obtained to guarantee the convergence. Simulation studies verify the results.
Voice Quality and Identity

ABSTRACT Variation in voice quality has long been recognized to have functions beyond the grammatically distinctive or phonetically useful roles it plays in many languages, indexing information about the speaker, participating in the construction of stance in interaction, or serving to identify the speaker as a unique individual. Though the links between voice quality and identity have been studied in phonetics, sociolinguistics, linguistic anthropology, forensic linguistics, and speech technology, considerable work remains to be done to problematize the ways in which the voice is taken as covering privileged, immediate meanings about the speaker's body and to break apart the ideologies that construct it as an inalienable, unitary, and invariant facet of a speaker's identity. We point out promising directions in recent research on the voice and bring up ideas for where this important area of research should be taken.
Astrogliopathy in Tauopathies

Astrocytes are involved in many diseases of the central nervous system, not only as reactive cells to neuronal damage but also as primary actors in the pathological process. Astrogliopathy is a term used to designate the involvement of astrocytes as key elements in the pathogenesis and pathology of diseases and injuries of the central nervous system. Astrocytopathy is utilized to name non-reactive astrogliosis covering hypertrophy, atrophy and astroglial degeneration with loss of function in astrocytes and pathological remodeling, as well as senescent changes. Astrogliopathy and astrocytopathy are hallmarks of tauopathies—neurodegenerative diseases with abnormal hyper-phosphorylated tau aggregates in neurons and glial cells. The involvement of astrocytes covers different disease-specific types such as tufted astrocytes, astrocytic plaques, thorn-shaped astrocytes, granular/fuzzy astrocytes, ramified astrocytes and astrocytes with globular inclusions, as well as others which are unnamed but not uncommon in familial frontotemporal degeneration linked to mutations in the tau gene. Knowledge of molecular differences among tau-containing astrocytes is only beginning, and their distinct functional implications remain rather poorly understood. However, tau-containing astrocytes in certain conditions have deleterious effects on neuronal function and nervous system integrity. Moreover, recent studies have shown that tau-containing astrocytes obtained from human brain tauopathies have a capacity for abnormal tau seeding and spreading in wild type mice. Inclusive conceptions include a complex scenario involving neurons, glial cells and local environmental factors that potentiate each other and promote disease progression in tauopathies.
Comparative analysis of foraging behavior and bite mechanics reveals complex functional diversity among Caribbean parrotfishes

Parrotfishes are a diverse group of herbivores that can influence benthic community dynamics and ecosystem function on coral reefs. Different species and size classes of parrotfishes vary in their feeding ecology and can impact reef ecosystems in distinct ways. We documented differences in the feeding ecology of 9 species of parrotfishes in the Florida Keys National Marine Sanctuary (FKNMS). Many of the key differences can be summarized by assigning species to functional groups (e.g. scrapers, excavators, croppers, macroalgae browsers), which are differentially responsible for carrying out specific ecological processes. For example, we found that Sparisoma viride, Scarus coelestinus, Sc. guacamaia, Sc. taeniopterus, and Sc. vetula feed on short turfs with few sediments, while Sp. aurofrenatum, Sp. chrysopterum, and Sp. rubripinne feed on longer sediment-laden turfs in addition to macroalgae. Further, parrotfishes use distinct bite types that indicate contrasting impacts on the benthos. Species that feed on short turfs scrape and excavate epilithic and endolithic algae, while species that feed on longer turfs and macroalgae tend to tear or crop algae from the reef. These distinct feeding behaviors result in different rates of algae removal, carbonate erosion, and sediment production. Recognizing that different species of parrotfishes interact with the benthos in fundamentally different ways will enable scientists and managers to better predict how changes in the structure of parrotfish assemblages may affect benthic communities and ecosystem processes.
An RNN-Based Multimodal Sentiment Analysis: Focusing on Facial Expressions and Multimodal Dynamic Representations

Multimodal sentiment analysis is rapidly gaining popularity due to its potential importance in fields like big data management and human-agent interaction systems. In this paper we present a multimodal opinion classification system fully constructed on deep learning technology. It is RNN-based, thus taking into account the time-dependency of the data. The features used are chosen in a way to allow the system to learn its own internal representation of the data. This was done with the goal to obtain a more accurate system that can generalize better when given a sufficient amount of data, leveraging the deep learning ability to learn features. It was trained and tested on the MOSI dataset which makes it an utterance-level sentiment analysis system. The results presented here are, to the best of our knowledge, the first results obtained on MOSI for such a task (highest accuracy of 84.30%). Additionally, as a validation experiment, we compare and show that our RNN-based system outperforms a CNN-based one (presented in previous work) on the linguistic modality of the MOUD dataset.
The Moderating Role of Risk Perception on The Relationship Between Satisfaction and Repurchase Intention of Bottled Water in Nigeria: A Research Proposition

There has been a surge of bottled water consumption globally to date. This phenomenon requires investigation on why consumers intend to repeat purchase the product. While past literature has applied Oliver’s expectation disconfirmation theory (EDT) to explain the link between customer satisfactions (CS) and repurchase intention (RI), other studies have reported conflicting findings. Thus, this study argues that risk perception (RP) should be added as a moderating variable between CS-RI which should improve our understanding of the RI behaviour in the context of EDT, bottled water consumption, policy and marketing strategy research. A new framework is proposed to explain the role of RP in EDT, with the aim of stimulating further enquiry.
Deaths during apprehensions of agitated persons. A review of proposed pathophysiological theories

Abstract The pathophysiology of sudden death during apprehension remains largely unclear. The most frequently discussed mechanisms are excited delirium, positional asphyxia, metabolic acidosis, acute and chronic drug abuse, and autonomic instability. As in most areas of forensic medicine, much of the knowledge comes from case reports, which are of little use in understanding causality. Experimental studies of some aspects have been performed, and they show somewhat divergent results and interpretations. The aim of this review is to summarize the different proposed theories, and to point out important issues for further research.
How Music Makes Us Feel

According to folk psychology, instrumental music regularly elicits emotions in listeners. Philosophers and psychologists such as Kivy, Konecni and Zangwill have questioned the existence of these musically elicited emotions, arguing that instrumental music elicits moods or aesthetic judgments rather than emotions. I defend the folk psychological position against these skeptics. The first chapter sets up the debate surrounding musically elicited emotions, while chapters two and three defend the thesis that instrumental music elicits emotions against the critics’ arguments. Chapter four outlines the implications of this defense for a variety of fields. INDEX WORDS: Emotion, Affect, Mood, Cognitivism, Music, Aesthetics, Psychology, Memory, Expectation HOW MUSIC MAKES US FEEL
A Tale of Two Interactions

People behave differently in different situations. With the advances in ubiquitous sensing technologies, it is now easier to capture human behavior across multiple situations automatically and unobtrusively. We investigate human behavior across two situations that are ubiquitous in hospitality (job interview and reception desk) with the objective of inferring performance on the job. Utilizing a dataset of 338 dyadic interactions, played by students from a hospitality management school, we first study the connections between automatically extracted nonverbal cues, linguistic content, and various perceived variables of soft skills and performance in these two situations. A correlation analysis reveals connection between perceived variables and nonverbal cues displayed during job interviews, and perceived performance on the job. We then propose a computational framework, with nonverbal cues and linguistic style from the two interactions as features, to infer the perceived performance and soft skills in the reception desk situation as a regression task. The best inference performance, with R2 = 0.40, is achieved using a combination of nonverbal cues extracted from the reception desk setting and the human-rated interview scores. We observe that some behavioral cues (greater speaking turn duration and head nods) are positively correlated to higher ratings for all perceived variables across both situations. The best performance using verbal content is achieved by fusion of LIWC and Doc2Vec features with R2 = 0.25 for perceived performance. Our work has implications for the creation of behavioral training systems with focus on specific behaviors for hospitality students.
Preparation and Characterization of Antioxidative and UV-Protective Larch Bark Tannin/PVA Composite Membranes

In order to prepare functional materials for antioxidant and ultraviolet (UV)-protective green food packaging, condensed tannin, previously extracted from larch bark, was mixed with polyvinyl alcohol (PVA), and then the mixture was used to cast composite membranes. An antioxidative assay using 1,1-diphenyl-2-picrylhydrazyl (DPPH)—a free radical scavenger—and starch–potassium iodide oxidation–discoloration analyses showed that the composite membranes have good antioxidative activities. The low UV transmission and protective effect of the composite films on vitamin E indicated the UV protection ability of the composite membranes. Both larch bark tannin and PVA are rich in hydroxyl groups; scanning electron microscopy analysis demonstrated their compatibility. Also, the mechanical and crystallization properties of the composite membranes did not significantly decrease with the addition of larch bark tannin.
A Spectral Approach to Peak Velocity Estimation of Pipe Flows from Noisy Image Sequences

Abstract Motivated by plane wave ultrasound image velocimetry (a.k.a. Echo PIV), we introduce a novel method to globally estimate the velocity field of a laminar and steady flow from the motion of tracer particles. Our approach exploits the fact that the equation of motion for pipe flows of constant circular cross-section is governed by a single global but unknown parameter. We connect this parameter to the Fourier spectrum of the input image sequence of the tracer particles and formulate our motion estimation problem as a spectral support estimation problem. The approach is validated on both simulated and experimental real data. It returns accurate velocity estimates after few seconds runtime and effectively copes with speckle patterns and noise.
Expression, Functional Characterization, and Preliminary Crystallization of the Cochaperone Prefoldin from the Thermophilic Fungus Chaetomium thermophilum

Prefoldin is a hexameric molecular chaperone found in the cytosol of archaea and eukaryotes. Its hexameric complex is built from two related classes of subunits, and has the appearance of a jellyfish: Its body consists of a double β-barrel assembly with six long tentacle-like coiled coils protruding from it. Using the tentacles, prefoldin captures an unfolded protein substrate and transfers it to a group II chaperonin. Based on structural information from archaeal prefoldins, mechanisms of substrate recognition and prefoldin-chaperonin cooperation have been investigated. In contrast, the structure and mechanisms of eukaryotic prefoldins remain unknown. In this study, we succeeded in obtaining recombinant prefoldin from a thermophilic fungus, Chaetomium thermophilum (CtPFD). The recombinant CtPFD could not protect citrate synthase from thermal aggregation. However, CtPFD formed a complex with actin from chicken muscle and tubulin from porcine brain, suggesting substrate specificity. We succeeded in observing the complex formation of CtPFD and the group II chaperonin of C. thermophilum (CtCCT) by atomic force microscopy and electron microscopy. These interaction kinetics were analyzed by surface plasmon resonance using Biacore. Finally, we have shown the transfer of actin from CtPFD to CtCCT. The study of the folding pathway formed by CtPFD and CtCCT should provide important information on mechanisms of the eukaryotic prefoldin–chaperonin system.
Avsar, Huseyin and Fischer, Joel E. and Rodden, Tom (2016) Designing touch-enabled electronic flight bags in SAR helicopter operations. In: International Conference on Human-Computer Interaction in Aerospace (HCI-

In order to benefit from potential reduced operational costs and crew workload airlines are increasingly interested in touchscreen-based Electronic Flight Bags (EFB). This paper focuses on the specific domain of Search and Rescue (SAR) Helicopters. A first set of results aiming to explore and understand potential benefits and challenges of an EFB in a SAR environment will be presented. A review of related work, operational observations and interviews with pilots were conducted to understand and specify the use context. Digital Human Modelling (DHM) software was used to determine physical constraints of an EFB in this type of flight deck. A scenario was developed which will be used in future to define features, content and functionality that a SAR pilot may wish to see in an EFB. Developed initial interface design guidelines are presented.