Miracle-dz/UniFAR-FTUs huggingface dataset:
CONCEPTS, NOTATIONS, SOFTWARE, ART

Software in the Arts. To date, critics and scholars in the arts and humanities have considered computers primarily as storage and display media, as something which transmits and reformats images, sound and typography. Reflection of the as such invisible layer of software is rare. Likewise, the term “digital art” has been associated primarily with digital images, music or audiovisual installations using digital technology. The software which controls the audio and the visuals is frequently neglected, working as a black box behind the scenes. “Interactive” room installations, for example, get perceived as a interactions of a viewer, an exhibition space and an image projection, not as systems running on code. This observation all the more applies to works in which it is not obvious at all that their production relied on programmation and computing. John Cage’s 1981 radio play “Roaratorio”, for example, appears to be a tape montage of a spoken text based on James Joyce’s “Finnegans Wake”, environmental sounds recorded in several cities of the world and Irish folk music, edited with analog recording technology. Yet at the same time it is an algorithmic artwork; the spoken text was extracted from the novel using a purely syntactical, formal method (mesostychs of the name “James Joyce”), and the montage was done according to a random score generated on a computer at the Parisian IRCAM studios. While the book-plus-CD set of “Roarotorio” documents the whole composition extensively, containing the audio piece itself, a recording and a reprint of John Cage’s reading, a recording and a reprint of an interview, an inventory of the cities where sound was recorded, it includes the computergenerated score itself only in a one-page excerpt and nothing at all of the computer program code which generated the random score. 1 The history of the digital and computer-aided arts could be told as a history of ignorance against programming and programmers. Computer programs get locked into black boxes, and programmers are frequently considered to be mere factota, coding slaves who execute other artist’s concepts. Given
A Low Power High Linearity THA for 8Bit 100Msample/s Pipeline ADC

This paper describes the design of a low power, high sampling rate track-and-hold amplifier (THA) which can be used in pipeline analog-to-digital converter (ADC). The THA can samples at 100 MS/s and only dissipates 12mW under 3V power supply. The amplifier is a fully differential two stage amplifier without miller compensation for power consumption reduction while maintaining enough gain and bandwidth. It is fabricated in 0.35um CMOS process and integrated in a 8-bit 100MS/s pipeline ADC. The THA makes the ADC achieve nearly 60dBc spur-free dynamic range(SFDR) and 58.1 total harmonic distortion (THD) at supply voltage of 3V in under sampling mode and can be used in medium resolution and high speed under sampling pipeline ADC. 
N-Acetyl-para-aminophenol as an Analgesic

sea-the results of keen young chaps operating in destroyers had been so bad. During eight years in big ships (750-1,500 souls aboard) I have had about 40-50 cases at sea and have not operated on any of them. Often there have been reproachful looks from fhe nursing sister, and even indirect hints from the captain: "Will you want me to stop the ship, doctor ? " None have died or had serious trouble. But is this conservative policy right in English hospital practice ? I should say no, for the following reasons: (1) A case treated thus will occupy an expensive hospital bed longer and demand more total nursing attention. (2) It should be admitted later for interval appendicectomy; again a hospital bed occupied and again work interrupted. (3) In many who do not undergo interval appendicectomy recurrence is likely, perhaps at a most inconvenient time and place. I suggest the time has come for dogmatic teaching in the schools: (1) in general hospitals, operate at once, if safe; (2) anywhere else, do not operate. It is an amusing speculation whether appendicectomy may not become, like circumcision, a victim of the National Health Service.I am, etc.,
Journal of Soft Computing and Decision Support Systems Entropy-based Ranking Approach for Enhancing Diversity in Tag-based Community Recommendation

Accuracy is the dominant performance evaluation in recommender systems. However, user satisfaction in recommendation includes other factors such diversity and novelty. Some solutions for improving diversity in recommendation, use re-ranking as a post-process on recommendation list achieved from accuracy-aware algorithms. In this work, we propose a method to involve entropy of communities as a diversity factor into the predicted weights from HOSVD method, helping to improve diversity in recommendation list without re-ranking. Experiments on Last.FM dataset, for the case of community recommendation with multi-mode data including users and tags for each community, proves the benefit on introducing diversity factor into the accuracy-based recommendation solutions to improve diversity.
Personal insights on a postsecondary immersion experience: Learning to step out of the comfort zone

Postsecondary immersion programs reflect a growing demand for educational programs designed to allow learners to develop advanced levels of literacy in a second language through content and discipline-based language interactions. Little is known about the impact of these programs on students. Drawing on data collected through individual interviews and focus group interactions, this paper focuses on the insights and personal reflections of students at the University of Ottawa, site of the largest tertiary French immersion option in Canada. The data gives voice to firsthand accounts of what it means to study in these programs and offers a valuable glimpse at the challenges, risks and distinctive incentives associated with the completion of one’s undergraduate education through the medium of a second language. Implications focus on recommendations for the design of successful university immersion programs.
Power sector asset stranding effects of climate policies

ABSTRACT Energy sector decarbonization to limit the temperature rise to well-below 2°C will result in stranded assets and capital stock replacement before its technical lifetime ends. In this paper, stranded assets in the global power sector are quantified based on a simplified bottom-up analysis that considers the capital stock turnover of fossil fuel-fired power plants in the G20 countries between 2015 and 2050. Power sector transformation starting now based on accelerated deployment of renewables results in US dollar (USD) 927 billion of global power sector stranded assets by 2050. Stranded coal assets would represent around three-quarters of total stranded assets value and China alone would represent 45% of the total. Delaying action to mitigate climate change until 2030 doubles stranded asset value. Countries should consider assets’ age profile characteristics in their decision making. Early action and avoidance of investments in new carbon-intensive assets can minimize stranded asset risks.
Registration and recognition in 3D

The simplest Computer Vision algorithm can tell you what color it sees when you point it at an object, but asking that computer what it is looking at is a much harder problem. Camera and LiDAR (Light Detection And Ranging) sensors generally provide streams pixel of values and sophisticated algorithms must be engineered to recognize objects or the environment. There has been significant effort expended by the computer vision community on recognizing objects in color images; however, LiDAR sensors, which sense depth values for pixels instead of color, have been studied less. Recently we have seen a renewed interest in depth data with the democratization provided by consumer depth cameras. Detecting objects in depth data is more challenging in some ways because of the lack of texture and increased complexity of processing unordered point sets. We present three systems that contribute to solving the object recognition problem from the LiDAR perspective. They are: calibration, registration, and object recognition systems. We propose a novel calibration system that works with both line and raster based LiDAR sensors, and calibrates them with respect to image cameras. Our system can be extended to calibrate LiDAR sensors that do not give intensity information. We demonstrate a novel system that produces registrations between different LiDAR scans by transforming the input point cloud into a Constellation Extended Gaussian Image (CEGI) and then uses this CEGI to estimate the rotational alignment of the scans independently. Finally we present a method for object recognition which uses local (Spin Images) and global (CEGI) information to recognize cars in a large urban dataset. We present real world results from these three systems. Compelling experiments show that object recognition systems can gain much information using only 3D geometry. There are many object recognition and navigation algorithms that work on images; the work we propose in this thesis is more complimentary to those image based methods than competitive. This is an important step along the way to more intelligent robots. Degree Type Dissertation Degree Name Doctor of Philosophy (PhD) Graduate Group Computer and Information Science First Advisor Kostas Daniilidis
The Effects of Iontophoresis in the Treatment of Musculoskeletal Disorders - A Systematic Review and Meta-Analysis

This systematic review and meta-analysis is focusing on the evidences related to iontophoresis used to enhance the topical drug delivery through the skin in the treatment of inflammatory dysfunctions, acute soft tissue injuries and pain. A literature search in the databases, MEDLINE (PubMed), Pedro, and the Cochrane Database of Systematic Re- views was conducted. The methodological quality of the obtained studies was independently rated by two reviewers. Data were pooled from those studies in which the effect of iontophoresis treatment on pain was compared with a control or sham (placebo) intervention. Twenty four experimental studies evaluating the effectiveness of iontophoretic treatment were included. Based on comparable statistical outcome for pain, the results of ten studies could be pooled for meta- analysis. Although several clinical studies claimed an advanced healing process after iontophoresis, controversy on the healing efficacy of iontophoresis remains. The overall summary estimate of the pooled post treatment values for pain was -0.672 (95%CI: -0.970 to -0.375) favouring iontophoresis treatment (p < 0.0001). The observed trend between studies het- erogeneity for the post treatment pain values was low to moderate (I 2 = 39.9%; p = 0.092). The results of the meta- analysis indicate quantitative evidence that iontophoresis is effective in the treatment of pain, however, the lack of solid research design in studies on iontophoresis makes it difficult to ensure that the improvements observed can be explained by the iontophoresis technique in se.
How To Meditate

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Incorporating Spatial Information Into Optimal Binaural Noise Suppression Design for Hearing Aids

 Binaural noise suppression utilizes multiple microphones in a set of binaural hearing aids to improve noise suppression performance  Multichannel wiener filters (MWF) approach [1]  Produces a minimum-mean-square-error (MMSE) estimate of the target signal  Balances noise suppression and speech distortion for: SDW-MWF, MVDR, LCMV [1,2]  Assumes stationary signals  This study aims to improve the performance for both stationary and non-stationary signals by incorporating a priori spatial information  Assume (partial) knowledge f ATFs is available
心理相談室におけるProlonged Exposure Therapyの適用

Exposure Therapy? Prolonged Exposure (PE) therapy is a cognitive-behavioral treatment for post-traumatic stress disorder (PTSD). The name Prolonged Exposure reflects the fact that the treatment program emerged from the long tradition of exposure therapy for anxiety disorders in which clients are helped to confront safe but anxiety-evoking situations in order to overcome their excessive fear and anxiety. In addition, PE is based on the emotional processing theory of PTSD, which emphasizes the importance of successfully processing the traumatic memory in order to diminish PTSD and other trauma-related symptoms (e.g., depression). To date, variants of exposure therapy including PE have received the most empirical evidence for their effectiveness in treating PTSD and have been designated by expert consensus as a first-line treatment for PTSD. The strong effectiveness of exposure therapy has been demonstrated in a wide range of trauma populations.
A Threshold Adaptation based Voice Query Transcription Scheme for Music Retrieval

This paper presents a threshold adaptation based voice query transcription scheme for music information retrieval. The proposed scheme analyzes monophonic voice signal and generates its transcription for diverse music retrieval applications. For accurate transcription, we propose several advanced features including (i) Energetic Feature eXtractor (EFX) for onset, peak, and transient area detection; (ii) Modified Windowed Average Energy (MWAE) for defining multiple small but coherent windows with local threshold values as offset detector; and finally (iii) Circular Average Magnitude Difference Function (CAMDF) for accurate acquisition of fundamental frequency (F0) of each frame. In order to evaluate the performance of our proposed scheme, we implemented a prototype music transcription system called AMT2 (Automatic Music Transcriber version 2) and carried out various experiments. In the experiment, we used QBSH corpus [1], adapted in MIREX 2006 contest data set. Experimental result shows that our proposed scheme can improve the transcription performance.
Adaptive filtering of reverberation for active sonar signal detection

The extremely high absorption of energy of electromagnetic waves in underwater environments restricts the range of signals to be used to acoustic signals. In addition the sea is a complex medium in which many kinds of environmental changes, mul­tipath propagation phenomenon, masking of the signals of interest by noise and/or reverberation signals, and attenuation, among others, will affect the propagation of sound through it. On one hand, environmental changes will cause different degrees of nonstationarity at the signals to be processed. On the other hand, the use of acoustic waves will imply that, for the active sonar case, different Doppler shifts of the signals to track will take place as the relative radial velocity of the sonar platform to the contact varies. This will cause that in some instances the contact signals share not only time, but also frequency bins with the noise and/or the reverberation signals. For the noise-limited case, an optimum solution for signal detection based on the correlation receiver or Matched-filter, exists. However, for reverberation-limited environments there is not any optimum solution which is feasible to be implemented in a practical system. Adaptive filters grew out of the demand of systems capable of operating in uncertain, time-varying environments. Due to the wide range of applications for which they have shown to be useful, considerable amount of work has been dedicated during the last few years to their development. The preliminary part of the thesis presents a basic model of the underwater environment for the active sonar case upon which the suitability of certain adaptive structures for active echo detection and rang­ing is initially based. A classification and the description of some existing adaptive systems and their main characteristics are presented too. Subsequent parts of the thesis include the theoretical development of a generic adaptive algorithm which will operate with complex data sequences. Several sets of experiments are carried out and the results presented in order to investigate the suitability for the application of interest of several adaptive systems and algorithms. Adaptive processing the received signals as presented here must be understood as a preprocessing stage of the overall active sound navigation and ranging (sonar) problem. The study is restricted to the narrowband case.
Emotion Mining in Social Media Data

Emotions are known to influence the perception of human beings along with their memory, thinking and imagination. Human perception is important in today’s world in a wide range of factors including but not limited to business, education, art, and music. Microblogging and Social networking sites like Twitter, Facebook are challenging sources of information that allow people to share their feelings and thoughts on a daily basis. In this paper we propose an approach to automatically detect emotions on Twitter messages that explores characteristics of the tweets and the writer’s emotion using Support Vector Machine LibLinear model and achieve 98% accuracy. Emotion mining gained attraction in the field of computer science due to the vast variety of systems that can be developed and promising applications like remote health care system, customer care services, smart phones that react based on users’s emotion, vehicles that sense emotion of the driver. These emotions help understand the current state of user. In order to perform suitable actions or provide suggestions on how user’s can enhance their feeling for a better healthy life-style we use actionable recommendations. In this work we extract action rules with respect to the user emotions that help provide suggestions for user’s.
Potentiation of ALA-PDT antitumor activity in mice using topical DMXAA

Photodynamic treatment of subcutaneously implanted Colon 26 tumors in BALB/c mice using the aminolevulinic acid (ALA)-induced photosensitizer protoporphyrin IX (PpIX) was shown to be enhanced by the addition of the vascular disrupting agent 5,6-Dimethylxanthenone-4-acetic-acid (DMXAA; Novartis ASA404). DMXAA increases vascular permeability and decreases blood flow in both murine and human tumors. Sufficiently high parenteral DMXAA doses can lead to tumor collapse and necrosis. We have previously reported marked enhancement of antitumor activity when PDT, using either Photofrin or HPPH, is combined with low-dose intraperitoneal DMXAA. We now describe the first attempt to combine topically-applied DMXAA with PDT. For this, DMXAA was applied two hours before PpIX-activating light delivery. PDT with ALA-PDT alone (ALA 20%; 80 J/cm2 delivered at 75 mW/cm2) caused a 39% decrease in tumor volume compared to unirradiated controls. Addition of topical DMXAA to ALA-PDT resulted in a 74% reduction in tumor volume. Diffuse correlation spectroscopy (DCS), a non-invasive blood flow imaging method, is being used to understand the mechanism of this effect and to aid in the proper design of the therapy. For instance, our most recent DCS data suggests that the 2-hour interval between the DMXAA and light applications may not be optimum. This preliminary study suggests a potential role for topical DMXAA in combination with PDT for dermatologic tumors.
Dynamic Voltage Restorer (DVR) – A Review

Power quality (PQ) is gaining a great deal of importance as more sensitive loads are introduced into the utility grid. The degradation of product quality, damage of equipment and temporary shutdowns are the general issues associated with PQ problems in industries. Any mal-operation or damage of the industrial sensitive loads results in monetary losses disproportionately higher than the severity of the PQ issues. The evolution of power electronics technology replaced the traditional power quality mitigation methods with the introduction of Custom Power System devices (CUPS). The major power electronic controller based CUPS are DSTATCOM, DVR and UPQC. DVR is a pertinent solution for the economic losses caused by the PQ issues in the industries. Among the CUPS, DVR is the most cost-effective one. In the published literature, only a few papers correspond to the review of DVR technology. In this paper, a systematic review of published literature is conducted and a description is given on the design, standards and challenges in the DVR technology. A detailed survey is conducted on the published Journal of Green Engineering, Vol. 8 4, 519–572. River Publishers doi: 10.13052/jge1904-4720.844 This is an Open Access publication. c © 2018 the Author(s). All rights reserved. 520 V. K. Remya et al. literature to address the various aspects and issues in the DVR system. This paper arrangement gives the working principle, structure, various topologies, compensation techniques, voltage sag detection methods and control methods of the DVR under different sections. The section “Challenges faced by the DVR” included in the manuscript can be useful for the researchers beginning their work in the domain of DVR. The simulation results using the sim power system tool of MATLAB/Simulink software are provided for analysis and comparison.
Effectiveness of using picture-based health education for people with low health literacy: An integrative review

Abstract Background: Level of health literacy affects health status. The purpose of this study was to examine and evaluate studies related to picture-based health education materials for people with low health literacy. Methods: Articles from 2001 through October 2015 were searched in the PubMed, CINAHL, and ERIC databases on the web, followed by manual searches of the references in those articles. Results: Of the 11 studies that met the inclusion criteria for this review, 10 showed a positive effect of increasing the health learning abilities of people with low health literacy using picture-based health education. Medication adherence was targeted most often. The majority of the studies measured health literacy using the Short Test of Functional Health Literacy in Adults, but the health literacy measurements in picture-based health education were nonetheless inconsistent. Discussion: Use of picture-based health education for people with low health literacy was limited. However, the majority of the studies did indicate a positive effect on learning.