Miracle-dz/UniFAR-FTUs huggingface dataset:
Building Scale VR : Automatically Creating Indoor 3 D Maps and its Application to Simulation of Disaster Situations

It is useful to simulate disaster situations by reconstructing actual buildings in a virtual space to enable people using the buildings to learn how to act in a disaster situation before it occurs. Therefore, we are developing a disaster-simulation system that simulates various disaster situations by virtually reproducing the situation inside buildings to allow individuals to experience disaster situations by using the latest virtual reality (VR) system. We use a mobile robot equipped with multiple laser-range sensors that measure the distance to objects in a building and an RGBdepth camera to collect distance and image data while the robot automatically travels along a route suitable for 3D measurement. We also manually scan physical objects individually by using a handheld 3D sensor. We then arrange the objects in a 3D map and manipulate them. We have also developed a VR system called “Building-Scale VR” that consists of indoor 3D maps filled with manipulable virtual objects that we call “operation targets” and a VR headset capable of position tracking within the building. In this paper, we explain how to implement BuildingScale VR and its applications to disaster simulations. It is useful to express disaster situations by reconstructing actual buildings into virtual space and enable users in the building to experience such situations beforehand to learn how to properly act during a disaster. Keywords—Virtual reality; 3D map; autonomous mobile robot; disaster simulation
VLSI Architecture of Digital Auditory Filter for Speech Processor of Cochlear Implant

Digital VLSI implementation of an auditory filter for speech processor of cochlear implant (CI) is proposed. Optimized design for hardware implementation of the filter with respect to area, power and speed is the significant criterion for the implementation of auditory filter for a CI. A digital filter is designed using the System Generator10.1 through the mathematical model of the FIR filter developed in Simulink using FDA tool. It is further downloaded onto the Spartan 3E FPGA Kit. Translation of the Simulink model into a hardware realization is done using system generator. Thus simulation is done both in the hardware and software environment. VHDL code for the filter is developed using the coefficients generated from FDA tool of System generator. The area, power and delay analysis for the design is done using SYNOPSYS Design Vision tool with 180micron technology. General Terms Auditory filter, VLSI Signal Processing,
The role of entropy detection in judgments of similarity and difference of visual stimuli

ii LIST OF TABLES . v LIST OF FIGURES . vi CHAPTER 1: INTRODUCTION . 1 CHAPTER 2. BACKGROUND . 5 Geometric Models of Similarity and Multidimensional Scaling (MDS) . 5 Featural Models of Similarity . 11 Alignment-Based Models of Similarity . 17 An Entropy-Based Account of Perceptual Similarity . 28 CHAPTER 3. SUMMARY OF MASTER’S WORK AND DISSERTATION AIMS . 30 Methods . 32 Results & Discussion . 37 Aims of the Present Research . 39 CHAPTER 4. EXPERIMENT 1 – DIFFERENCE WITH COMPLEX STIMULI AND REANALYSIS OF MASTER’S WORK . 41 Methods . 41 Results . 42 Discussion . 47
Lisman oscillations on the hippocampus NMDAR antagonist action in thalamus imposes delta

[PDF] [Full Text] [Abstract] , March 15, 2013; 339 (6125): 1290-1295. Science Wei Xu and Thomas C. Südhof A Neural Circuit for Memory Specificity and Generalization [PDF] [Full Text] [Abstract] , May 15, 2013; 33 (20): 8772-8783. J. Neurosci. Vasconcelos and Jean-Christophe Cassel De Sa Nogueira, Hélène Raingard, Laura Robelin, Christian Kelche, Anne Pereira de Thibault Cholvin, Michaël Loureiro, Raphaelle Cassel, Brigitte Cosquer, Karine Geiger, David Requiring Both Prefrontal Cortical and Hippocampal Functions The Ventral Midline Thalamus Contributes to Strategy Shifting in a Memory Task [PDF] [Full Text] [Abstract] , June 1, 2013; 109 (11): 2827-2841. J Neurophysiol Lavinia Albéri, Alessandra Lintas, Robert Kretz, Beat Schwaller and Alessandro E. P. Villa reticular thalamic nucleus bursting neurons The calcium-binding protein parvalbumin modulates the firing 1 properties of the [PDF] [Full Text] [Abstract] , July 17, 2013; . J Psychopharmacol Mark J Hunt and Stefan Kasicki recorded in vivo A systematic review of the effects of NMDA receptor antagonists on oscillatory activity [PDF] [Full Text] [Abstract] , November , 2013; 27 (11): 972-986. J Psychopharmacol Mark J Hunt and Stefan Kasicki recorded in vivo A systematic review of the effects of NMDA receptor antagonists on oscillatory activity
Detection and Segmentation of 2D Curved Reflection Symmetric Structures

Symmetry, as one of the key components of Gestalt theory, provides an important mid-level cue that serves as input to higher visual processes such as segmentation. In this work, we propose a complete approach that links the detection of curved reflection symmetries to produce symmetry-constrained segments of structures/regions in real images with clutter. For curved reflection symmetry detection, we leverage on patch-based symmetric features to train a Structured Random Forest classifier that detects multiscaled curved symmetries in 2D images. Next, using these curved symmetries, we modulate a novel symmetry-constrained foreground-background segmentation by their symmetry scores so that we enforce global symmetrical consistency in the final segmentation. This is achieved by imposing a pairwise symmetry prior that encourages symmetric pixels to have the same labels over a MRF-based representation of the input image edges, and the final segmentation is obtained via graph-cuts. Experimental results over four publicly available datasets containing annotated symmetric structures: 1) SYMMAX-300 [38], 2) BSD-Parts, 3) Weizmann Horse (both from [18]) and 4) NY-roads [35] demonstrate the approach's applicability to different environments with state-of-the-art performance.
Unsupervised Lexical Semantic Frame Induction: A SemEval 2019 Task Proposal

Frame Semantics (Fillmore, 1976) and other theories (Gamerschlag et al., 2014) that adopt typed feature structures for the representation of knowledge and linguistic structures have developed in parallel over several decades in formal linguistics studies related to the syntax– semantics interface, as well as in empirical corpus-driven applications in natural language processing (NLP). Building repositories of lexical semantic frames is a central topic in these efforts, regardless of their perspective. In formal studies, lexical semantic frame knowledge bases are built to instantiate foundational theories with tangible examples, e.g., to serve as supporting evidence for the theory. On a practical level, frame semantic repositories play a pivotal role in natural language understanding and semantic parsing (both as a source for inspiring a representation format and for training data-driven machine learning methods) to accomplish tasks such as information extraction, question answering, text summarization, machine translation, and so on. However, the manual development of lexical semantic frames databases (as well as corpus-derived annotations to support those frames) is a resource-intensive task. The most well-known publicly available Frame Semantics lexical resource is FrameNet (Ruppenhofer et al., 2016), which covers only a fraction of natural language events and concepts in a relatively small number of contextual semantic domains. While NLP research has integrated FrameNet into semantic parsing technologies (e.g. Das et al. (2014); Kshirsagar et al. (2015); Hartmann et al. (2017)), current parsing methods are not yet sufficiently effective for enriching frame repositories such as FrameNet with new frame templates, i.e., to port them to new semantic domains, and to extend them to languages other than English. In general, the same holds for supervised machine learning for the identification of frames. One way to rectify this situation is the use of unsupervised machine learning methods for identifying new semantic frame templates and populating them. Even if these unsupervised approaches are not ideal to create full-fledged frame semantic databases, employing them as an assistive lexicographical tool might well reduce the resource intensivity of the effort.1 Among the studies of unsupervised frame induction, most systems, e.g., Pennacchiotti et al. (2008) and Green et al. (2004), address the problem of domain coverage by employing other available lexical semantic resources such as WordNet (Miller, 1995), a technique that itself leads to other setbacks. Most importantly, these methods do not adapt easily across languages since for the most part these auxiliary resources are often not available in other languages.
Evaluation of Antiherpetic Compounds Using a Gastric Cancer Cell Line: Pronounced Activity of BVDU against Herpes Simplex Virus Replication

We developed a rapid and simple method for the screening of antiviral agents against herpes simplex virus (HSV) in a model of gastrointestinal herpetic infection in vitro. This method was based on inhibition of HSV‐induced cytopathogenicity in gastric adenocarcinoma MKN‐28 cells, as monitored by an MTT colorimetric assay. From the various compounds that were evaluated for their activity against HSV‐1 and HSV‐2, brivudine (BVDU) emerged as the most effective. When the 50% effective concentration (EC50) values of the antiherpes agents in MKN‐28 cells were compared with those in human embryo lung MRC‐5 cells, all compounds, except for BVDU, showed higher EC50 values in MKN‐28 cells. For BVDU the EC50 values in MKN‐28 cells were 0.8 (HSV‐1) and 0.036 (HSV‐2) times the EC50 values in MRC‐5 cells. Thus BVDU was 27.5 times more active against HSV‐2 in MKN‐28 cells than in MRC‐5 cells. The MKN‐28 gastric cancer cells may be useful for the rapid screening of anti‐HSV agents and, in particular, those that may be useful in therapy of gastrointestinal HSV infections in gastrointestinal herpetic infection.
The Tip of the Coiled-coil Rod Determines the Filament Formation of Smooth Muscle and Nonmuscle Myosin*

Myosin II self-assembles to form thick filaments that are attributed to its long coiled-coil tail domain. The present study has determined a region critical for filament formation of vertebrate smooth muscle and nonmuscle myosin II. A monoclonal antibody recognizing the 28 residues from the C-terminal end of the coiled-coil domain of smooth muscle myosin II completely inhibited filament formation, whereas other antibodies recognizing other parts of the coiled-coil did not. To determine the importance of this region in the filament assembly in vivo, green fluorescent protein (GFP)-tagged smooth muscle myosin was expressed in COS-7 cells, and the filamentous localization of the GFP signal was monitored by fluorescence microscopy. Wild type GFP-tagged smooth muscle myosin colocalized with F-actin during interphase and was also recruited into the contractile ring during cytokinesis. Myosin with the nonhelical tail piece deleted showed similar behavior, whereas deletion of the 28 residues at the C-terminal end of the coiled-coil domain abolished this localization. Deletion of the corresponding region of GFP-tagged nonmuscle myosin IIA also abolished this localization. We conclude that the C-terminal end of the coiled-coil domain, but not the nonhelical tail piece, of myosin II is critical for myosin filament formation bothin vitro and in vivo.
Relations between Segmental and Prosodic Structure in First Language Acquisition

In this paper, I discuss a number of relations that take place between melodic content and higher prosodic structure in first language phonological development. I explore acquisition patterns found in data on the acquisition of Québec French. Starting with the observation that prosodic structure and, more specifically, stressed syllables, play a central role in phonological acquisition, I hypothesise that the inter-relations between prosodic and segmental structure posited by formal models of phonological organisation should be witnessed within and across developmental stages. I support this hypothesis through two findings from the French data. First, complex onsets emerge in stressed syllables before unstressed ones. Second, different types of consonants (placeless versus place-specified) emerge in word-final position at different stages. From these observations, I argue that the phenomena observed in these data are best captured in an analysis based on constituent structure and relationships between feature specification and prosodic constituency, which are governed by universal markedness. Segmental and Prosodic Structure in Acquisition 3 Relations between Segmental and Prosodic Structure in Phonological Development
UvA-DARE ( Digital Academic Repository ) Membrane Potential Dynamics of Spontaneous and Visually Evoked Gamma Activity in V 1 of Awake Mice

Cortical gamma activity (30–80 Hz) is believed to play important functions in neural computation and arises from the interplay of parvalbumin-expressing interneurons (PV) and pyramidal cells (PYRs). However, the subthreshold dynamics underlying its emergence in the cortex of awake animals remain unclear. Here, we characterized the intracellular dynamics of PVs and PYRs during spontaneous and visually evoked gamma activity in layers 2/3 of V1 of awake mice using targeted patch-clamp recordings and synchronous local field potentials (LFPs). Strong gamma activity patterned in short bouts (one to three cycles), occurred when PVs and PYRs were depolarizing and entrained their membrane potential dynamics regardless of the presence of visual stimulation. PV firing phase locked unconditionally to gamma activity. However, PYRs only phase locked to visually evoked gamma bouts. Taken together, our results indicate that gamma activity corresponds to short pulses of correlated background synaptic activity synchronizing the output of cortical neurons depending on external sensory drive.
Genome-Wide Specific Selection in Three Domestic Sheep Breeds

Background Commercial sheep raised for mutton grow faster than traditional Chinese sheep breeds. Here, we aimed to evaluate genetic selection among three different types of sheep breed: two well-known commercial mutton breeds and one indigenous Chinese breed. Results We first combined locus-specific branch lengths and di statistical methods to detect candidate regions targeted by selection in the three different populations. The results showed that the genetic distances reached at least medium divergence for each pairwise combination. We found these two methods were highly correlated, and identified many growth-related candidate genes undergoing artificial selection. For production traits, APOBR and FTO are associated with body mass index. For meat traits, ALDOA, STK32B and FAM190A are related to marbling. For reproduction traits, CCNB2 and SLC8A3 affect oocyte development. We also found two well-known genes, GHR (which affects meat production and quality) and EDAR (associated with hair thickness) were associated with German mutton merino sheep. Furthermore, four genes (POL, RPL7, MSL1 and SHISA9) were associated with pre-weaning gain in our previous genome-wide association study. Conclusions Our results indicated that combine locus-specific branch lengths and di statistical approaches can reduce the searching ranges for specific selection. And we got many credible candidate genes which not only confirm the results of previous reports, but also provide a suite of novel candidate genes in defined breeds to guide hybridization breeding.
University of Groningen Guided Act and Feel Indonesia ( GAF-ID )-Internet-based behavioral activation intervention for depression in Indonesia

Background: Depression is a leading cause of disease burden across the world. However, in low-middle income countries (LMICs), access to mental health services is severely limited because of the insufficient number of mental health professionals available. The WHO initiated the Mental Health Gap Action Program (mhGAP) aiming to provide a coherent strategy for closing the gap between what is urgently needed and what is available in LMICs. Internet-based treatment is a promising strategy that can be made available to a large number of people now that Internet access is increasing rapidly throughout the world. The present study will investigate whether such an Internet-based treatment for depression is effective in Indonesia. Methods: An Internet-based behavioral activation treatment, with support by lay counselors who will provide online feedback on the assignments and supportive phone contact to encourage participants to work in the program (Guided Act and Feel Indonesia/GAF-ID), is compared to an online-delivered minimal psychoeducation without any support (psychoeducation/PE). Initial assessment for inclusion is based on a Patient Health Questionnaire-9 (PHQ-9) score of at least 10 and meeting criteria for major depressive disorder or persistent depressive disorder as assessed using the Structured Clinical Interview for DSM-5 (SCID-5). Participants with depression (N = 312) will be recruited and randomly assigned to GAF-ID or PE. Overall assessments will be done at baseline, post intervention (10 weeks from baseline) and follow-ups (3 months and 6 months from baseline). The primary outcome is the reduction of depression symptoms as measured by the PHQ-9 after 10 weeks from baseline. Discussion: To our knowledge, this is the first study in Indonesia that examines the effectiveness of an Internetbased intervention for depression in a randomized controlled trial. The hope is that it can serve as a starting point for bridging the mental health gap in Indonesia and other LMICs. Trial registration: Nederlands Trial Register (www.trialregister.nl): NTR5920, registered on 1 July 2016.
Dimensions of psychological well-being and personality in military aircrew : A preliminary study

Operations during war and peace time require aircrew to be proficient in a wide range of skills which call for high physical and psychological stamina. Mental fitness plays a crucial role in helping the crew adapt to the occupational demands. How well the fliers perceive themselves i.e. their health and well being determines success, the future wellbeing and readiness of the force. Psychological literature has demonstrated that perceptions of Psychological Well-Being (PWB) are directly linked to the intensity of coping efforts and performance. PWB is defined as a person’s evaluative reaction to his or her life-either in terms of life satisfaction (cognitive evaluations) or affect (emotional reaction). Negative perceptions and expectations of PWB are associated with decreased positive affect and with less adaptive and coping efforts, and could erode feelings of mastery and hope in fliers. Thus the aim of this preliminary investigation was to identify the general level of PWB in fifty (50) military aircrew and to find the association between PWB and personality. The PWB was measured using three outcomes: The WHO (Five) WellBeing Index, the Satisfaction with Life Scale and Positive Affect and Negative Affect Scale. Personality was measured using the NEO-FFI. The results indicate that the aviators perceive themselves to have average quality of life and PWB. They manifested high levels of neuroticism and very high levels of extraversion. This study emphasizes that health care providers must have a clear understanding about the level of PWB and personality make-up of the aircrew. Also predictions of PWB and personality have important practical implications, in selection, training and later aircrew performance. IJASM 2007; 51(2): 17-27
C O ] 3 0 Ja n 20 19 Efficient sampling of conditioned Markov jump processes

We consider the task of generating draws from a Markov jump process (MJP) between two time-points at which the process is known. Resulting draws are typically termed bridges and the generation of such bridges plays a key role in simulation-based inference algorithms for MJPs. The problem is challenging due to the intractability of the conditioned process, necessitating the use of computationally intensive methods such as weighted resampling or Markov chain Monte Carlo. An efficient implementation of such schemes requires an approximation of the intractable conditioned hazard/propensity function that is both cheap and accurate. In this paper, we review some existing approaches to this problem before outlining our novel contribution. Essentially, we leverage the tractability of a Gaussian approximation of the MJP and suggest a computationally efficient implementation of the resulting conditioned hazard approximation. We compare and contrast our approach with existing methods using three examples.
Central suboptimal H∞ filter design for linear time-varying systems with state delay

This paper presents the central finite-dimensional Hinfin filters for linear systems with state delay, that are suboptimal for a given threshold gamma with respect to a modified Bolza-Meyer quadratic criterion including the attenuation control term with the opposite sign. In contrast to the results previously obtained for linear time delay systems, the paper reduces the original Hinfin filtering problems to H2 (optimal mean-square) filtering problems, using the technique proposed in [1]. The paper first presents the central suboptimal Hinfin filter for linear systems with state delay, based on the optimal H2 filter from [37], which contains a finite number of the filtering equations for any fixed filtering horizon, but this number grows unboundedly as time goes to infinity. To overcome that difficulty, the alternative central suboptimal Hinfin filter is designed for linear systems with state delay, which is based on the alternative optimal H2 filter from [38]. Numerical simulations are conducted to verify performance of the designed central suboptimal filters for linear systems with state delay against the central suboptimal Hinfin filter available for linear systems without delays.
The Effect of Quality Accounting Information System in Indonesian Government (BUMD at Bandung Area)

This research explaining important issue the influence of organizational factors (organizational culture, implementation intern accounting information system, organizational structure, management commitment, information technology, e commerce and style leadhership) to the quality of the accounting information system and its implications on the quality of accounting information in Indonesian Government. The methodology is quantitative, with description analysis variabel operasional. The results showed that the organizational culture, implementation intern accounting information system, organizational structure, commitment of management, information technology, e commerce and style leadhership have a significant effect on the quality of accounting information systems. Azhar Susanto (2013: 65) states that the accounting information is the output of the accounting process. In general, the accounting information presented in the financial statements (Kieso et al, 2012: 5). Furthermore it was found that the quality of accounting information system has implications for the quality of accounting information. Finally to researching into proposing Accounting Information System Quality can improve the target of Indonesian Goverment going concern. Keywords : o r g anizational culture, implementation intern control accounting information system, organizational structure, management commitment, information technology , e commerce , style leadhership, quality accounting information system, information system.