Miracle-dz/UniFAR-FTUs huggingface dataset:
Directed-Weighting Group Lasso For Eltwise Blocked CNN Pruning

Eltwise layer is a commonly used structure in the multi-branch deep learning network. In a filter-wise pruning procedure, due to the specific operation of the eltwise layer, all its previous convolutional layers should vote for which filters by index should be pruned. Since only an intersection of the voted filters is pruned, the compression rate is limited. This work proposes a method called Directed-Weighting Group Lasso (DWGL), which enforces an index-wise incremental (directed) coefficient on the filterlevel group lasso items, so that the low index filters getting high activation tend to be kept while the high index ones tend to be pruned. When using DWGL, much fewer filters are retained during the voting process and the compression rate can be boosted. The paper test the proposed method on the ResNet series networks. On CIFAR-10, it achieved a 75.34% compression rate on ResNet-56 with a 0.94% error increment, and a 52.06% compression rate on ResNet-20 with a 0.72% error increment. On ImageNet, it achieved a 53% compression rate with ResNet-50 with a 0.6% error increment, speeding up the network by 2.23 times. Furthermore, it achieved a 75% compression rate on ResNet-50 with a 1.2% error increment, speeding up the network by 4 times.
Complementary and alternative medicine use and the menopausal transition : the effect of a Chinese herbal formula on vasomotor symptoms and bone turnover

Although Hormone Therapy (HT) is the most effective treatment for alleviating menopausal vasomotor symptoms and reducing bone loss, many women are reluctant to take this treatment due to side effects and concerns about safety. Epidemiological studies suggest that a significant proportion of women use Complementary and Alternative Medicine (CAM) therapies to alleviate vasomotor symptoms and improve quality of life. Anecdotal and clinical evidence indicate a number of CAM therapies, such as herbal medicine, may be effective in alleviating symptoms and modulating bone metabolism. Hence, in the context of concerns over the safety of HT and the extensive history of the clinical use of herbal medicine, this thesis investigated issues pertinent to CAM use and the menopausal transition. The aims of this thesis were to: • Examine the nature and extent of CAM use by women transitioning through menopause • Evaluate the effectiveness of a herbal formula containing Chinese herbs and Cimicifuga racemosa for alleviating vasomotor symptoms, improving quality of life and modulating bone turnover markers. From July 2003 until July 2004 the Women’s Health during Midlife Survey recruited 1,296 women aged 45-65 who were symptomatic when transitioning through menopause or asymptomatic but taking menopause specific treatments. A validated 19-item survey instrument assessed the use of CAM modalities and menopause
Modeling Prosody of Mandarin Chinese Fluent Speech via Phrase Grouping

We have proposed that Prosodic Phrase Grouping (PG) best characterize the prosody of Mandarin Chinese fluent speech [1]. PGs reflected a higher semantic and cognitive unit of speech planning in discourses. Corresponding prosodic characteristics were obtained, demonstrating how prosody of fluent speech was organized. PG-related global intonation and duration patterns [1, 2, and 3] indicated that phrasal and sentential intonations were subordinate prosodic units and modifications are required. We will show how we model and simulate the global PG intonation on top of the Fujisaki model [4], a physiologically based phrasal intonation model. We believe capturing the PG effect helps understand prosody of fluent speech, and simulation of this kind could directly improve output naturalness of unlimited TTS. Our methods included quantifying PG related F0 characteristics from speech corpus with commands from the Fujisaki model, and subsequently utilizing these features as variables to predict prosody of Mandarin fluent speech.
ff ect of ultraviolet light , organic acids , and bacteriophage on Salmonella populations in ground beef

This study investigated individual and combined effects of organic acids, bacteriophages, and ultraviolet light interventions on Salmonella populations in ground beef. Beef trim was inoculated with four Salmonella strains to result in a contamination level of 3.5 log CFU/g after grinding. Lactic (LA) and peroxyacetic (PAA) acids, bacteriophages (S16 and FO1a) (BA), and ultraviolet light (UV) were applied on fresh trim prior to grinding. Applications of individual or combined organic acids did not significantly decrease Salmonella populations in ground beef. Individual applications of BA and UV light decreased approximately 1 log CFU/g (P < 0.05). Combined applications of BA and UV provided an optimal decrease of 2 log CFU/g (P < 0.05). Organic acid applications do not reduce Salmonella populations in ground beef when applied on trim prior to grinding. Combined applications of UV and BA may be used in industry settings to improve Salmonella control in ground
Kanagasabapathi Chythanya Calicut A ROUTING ALGORITHM AND A ROUTER ARCHITECTURE FOR 3 D NOC

In recent years, the enhancement of microchip technologies has enabled large scale Systems-on-Chip (SoC). Due to sharp increase in number of processing elements, SoC faces various challenges in design and testing. Network on Chip (NoC) is an alternative technology to overcome the challenges in SoC design and testing. NoC emerged as a key architecture that allows one to optimize the parameters like power and area. In spite of its applications, NoC faces some real time challenges like designing an optimum topology, routing scheme and application mappings. In this paper, we address the main three issues on NoC, namely, designing of an optimal topology, routing algorithm and a router design for the topology. First, we propose a topology and a routing algorithm. We prove that our recursive network topology is Hamiltonian connected and we propose an algorithm for data packet transmissions, which is free from cyclic deadlocks and the algorithm maximizes the congestion factor. Our experimental results show that the proposed topology gives better performance in terms of average latency and power than the other topologies. Finally, we propose a router architecture for our 3D-NoC. The router architecture is based on shared buffers. Also, our experimental results indicate that the proposed router architecture consumes less area and power than the Virtual Channel architecture.
Tunnel Vision Attack on IMPALA - Questioning the Robustness of Reinforcement Learning Agents

We perform reward-agnostic attacks on an Importance Weighted Actor-Learner Architecture (IMPALA) based deep reinforcement learning agent by perturbing the input pixels in different ways. In one environment, where the agent needs to locate and pick up objects, we show that blacking out a two pixel wide border heavily impacts the agent’s performance, while blacking out the center of the agent’s visual field has minimal impact. This suggests that the agent is relying mainly on peripheral vision to solve this task. Interestingly, the same border-attack is less effective in a pure navigation task. We also find that an agent trained in a multi-task setup seems to be more resilient to attacks. Further, we report preliminary results of per-frame pixel attacks using a differential evolution algorithm and discuss directions for further research. Surprisingly, the most successful pixel perturbations found by differential evolution on the “collect good objects” task are concentrated at the edge of the frame, which agrees with the effectiveness of the attack that blacks out the border.
ANovel Fairness-Aware Resource Allocation Scheme in Multiuser SISO-OFDMADownlink

The problem of resource allocation for the downlink of wireless systems operating over a frequency-selective channel is investigated. It is assumed that both the Base Station (BS) and each user are equipped with a single antenna (Single Input Single Output-SISO case), and Orthogonal Frequency Division Multiple Access (OFDMA) is used as a multiple access scheme. The aim is to maximize the sum of the users’ data rates subject to constraints on total available power and proportional fairness among users’ data rates. Achieving the optimal solution has a high computational cost thereby the use of suboptimal techniques is necessary. A suboptimal, but efficient, scheme is devised, and it is shown, via simulation, that not only the proposed resource allocation scheme achieve higher sum of the users’ data rates than other existing schemes but also the sum data rate is distributed fairly and flexibly among users. In addition, the proposed scheme is complexity effective and can be applied to latest-generation wireless systems that provide Quality-of-Service (QoS) guarantees.
Derivation of macroscopic ® ltration law for transient linear viscoelastic ̄ uid ̄ ow in porous media

This work is concerned with deriving a macroscopic ®ltration law for describing transient linear viscoelastic ̄uid ̄ow in porous media. This is performed using a homogenisation technique, i.e. by upscaling the heterogeneity scale description. The macroscopic ®ltration law is expressed in Fourier space as a generalised Darcy's law with a dynamic permeability tensor. This model is valid at low Reynolds and Deborah numbers. Analytical results are determined in the particular case of the ̄ow of an Oldroyd ̄uid in a bundle of capillary tubes and are compared to those obtained by a corresponding phenomenological model.
arnings management and European Regulation 1606 / 2002 : Evidence rom non-financial Portuguese companies listed in Euronext gostinho

Background: Since 2005, Portuguese listed companies have experienced an important institutional change, the mandatory adoption of new accounting standards (IFRS/IAS). European Union Regulation 1606/2002 made compliance with IFRS mandatory for the consolidated accounts of companies with securities traded on a regulated market. Existing literature suggests that accounting standards and country-specific characteristics affect the level of earnings management. Objectives: Therefore, the purpose of this paper is to analyze how accounting standards and the mandatory adoption of IFRS/IAS affect earning management in Portuguese listed companies. Methods: In order to do this, the paper analyze the evidence of earnings management, measured through discretionary accruals, after the adoption of IAS/IFRS by non-financial listed companies on Euronext Lisbon in the period 2005–2015. The Dechow et al. (2003) econometric model will be used, and empirical results indicate that non-financial listed companies in Portuguese stock exchange in the period 2005–2015 show evidence of discretionary accruals as a proxy for earnings management. Results: Thus, the results suggest that after the adoption of IAS/IFRS there are still indications of earnings management in non-financial listed companies. Conclusions: This research will achieve two distinct contributions. First, filling a gap at the national level, given that there was no such study, that considered the analyzed period, and second, the enrichment of the literature on this subject, since it shows that in a country of continental Europe after the mandatory adoption of IFRS earning management continues to exist. © 2017 ASEPUC. Published by Elsevier España, S.L. U. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). La manipulación contable y el Reglamento Europeo 1606/2002: evidencias de empresas portuguesas no financieras que cotizan en Euronext
Consumers ' reasons for ~ u ~ chasing low involvement goods by mail catalogue : prehm 1 nary measurement guidelines

New . for? '1s ~nd applic~tions of technology have enabled business organisations to increasingly utilise multiple channels for the d'. stnbut1on of retail products. One exan:iple. mail-order catalogue buying. has now become an acceptable shopping format tor larger nu.mbers of consum~rs. Earlier research clearly indicated that non-shop shopping. such as buying by mail~rder catalogue. 1s n? t only v.ery . different from shop shopping, but consumers also undertake non-shop shopping for distinct. reasons. The primary obJect1.ve of the research reported here was to identify the reasons underlying the purchasing of low involvement products by mail-order catalogue and to develop a reliable and valid instrument that could identify and measure such reasons.
Standardization of the Process of Making Kumal Chawl in the Laboratory

This study was undertaken to standardize the process of making kumal chawl in the laboratory. Kumal chawl was prepared from both chowkua and bora paddy in the laboratory following the traditional method. The method for making kumal chawl was standardized after observing the steps of traditional method. The sensory attributes of both traditional and laboratory made products were evaluated. It was found that the laboratory prepared products were better than the traditional products in terms of all the sensory attributes.
The Awful Rowing toward God ”

Limited research has been conducted on the religious experiences of people with bipolar disorder (BD). Qualitative research indicates that the disentanglement of pathology and genuine religiosity is an important issue for persons with BD and that some patients experience discrepancy between the explanatory models of mental health care professionals and religious leaders. The current study explores the ways patients with BD interpret religious experiences they have had during illness episodes, how this interpretation changes over an individual’s lifetime, and the expectations of treatment that persons with BD have regarding these religious experiences. Semi-structured interviews with 34 stable BD patients were conducted by a hospital chaplain and a psychiatrist trainee. The method of analysis was interpretative phenomenological analysis. For many participants, a religious quest originated after a religious experience during mania, and then a variety of medical and religious sources supported the interpretation process. Most participants endorsed mixed medical and religious explanations for their experiences and tried to distinguish between spiritual and pathological features. The interpretation process changed over time, influenced by religious affiliation and views, mood swings and the course of BD, and communication with others about the experiences. Discourse about the experiences was often problematic within treatment; a majority expressed the need for recognition of the spiritual value of the experiences, together with a critical sounding board for reflecting on their meaning and the influence of BD. More attention could be paid to the subject in treatment, and the expertise of hospital chaplains could contribute to this.
Acoustic comfort assessment in heavyweight residential buildings : acoustic data associated to subjective responses .

This article presents a study aiming to explore and evaluate acoustic comfort in residential multistory buildings in Sweden. Acoustic data was associated to self-reported responses acquired by a survey: a questionnaire was setup researching the response to noise annoyance from multiple sources in a flat and the emotional reactions of tenants to the acoustic climate at home. An assessment of acoustic comfort in the test apartments was performed utilizing the circumplex model of affect. A sample of 353 residents offered their ratings on 12 bipolar scales regarding their feelings towards their living sound environment. Two dimensions were identified: pleasantness and activation. Statistical models were developed using acoustic and structural variables. L′#$,&,'(( predicted best pleasantness and number of flats per building predicted best activation. A new acoustic comfort indicator is suggested based on the pleasantness model and four novel acoustic comfort classes are proposed as: AC-1: Very good, AC-2: Good, AC-3: Acceptable, AC-4: No comfort.
Imaging in SARS

Meirion R. Evans BA(Hons), MB, BCh, FRCP, FFPHM Clinical Senior Lecturer Department of Epidemiology, Statistics & Public Health University of Wales College of Medicine Honorary Regional Epidemiologist PHLS Communicable Disease Surveillance Centre (Wales) Abton House, Wedal Road, Cardiff CF14 3QX United Kingdom Temporary Advisor on SARS, World Health Organization Regional Office Beijing, PR China Gregory E. Antonio MBBS(UNSW), BSc(Med), FRANZCR, Assistant Professor Department of Diagnostic Radiology & Organ Imaging The Chinese University of Hong Kong Prince of Wales Hospital Shatin Hong Kong China
Image Classification of Golek Puppet Images using Convolutional Neural Networks Algorithm

Golek puppet is traditional art that developed in Indonesia especially in West Java province. Golek puppet has become one of entertainment for West Java people. But in this era, many people has forget about golek puppet. It causes the youth generation starting to leave about this culture. One of the reason why this can be happened is golek puppet has to many category and it makes hard to remember all of them. With the number of Golek puppet category, the classification of category Golek puppet automatically is needed through recognition of Golek puppet image. Deep learning can be used to recognize Golek puppet images. The best method to classifying image is using Convolutional Neural Network (CNN). This study resulted accuracy with CNN method in amount of 100% accuracy to classifying Golek puppet image. Which can be decided as the best method in classifying image.
SOA Real-time System Development An Automotive Case Study

Real-time systems have become increasingly complex and therefore requires scalable development solutions. Combining component-based and SOA paradigms can be one of such solutions by enforcing loosely coupled reusable components and suitable composition mechanism to construct systems. In this paper we demonstrate our solution using the X-MAN component model and its real-time extension on an industrial case study in automotive. Keywords—component architectures, service computing, realtime systems
Adversarial Examples for Neural Automatic Essay Scoring Systems

Automatic essay scoring systems appear in increasingly important standardized testing applications. Admission to graduate school, teacher evaluations, and possibly even student grade promotion can depend on automatic essay scoring systems functioning reliably and fairly, but bad actors attempting to manipulate scores threatens the validity of decisions based on machine scored essays, therefore we set out to answer the following questions: Can adversarial attack strategies be developed for neural automatic essay scoring systems? To what extent are automatic essay scoring systems susceptible to adversarial examples? We attempt to answer these questions by presenting a series of experiments that leverage anchors, a neural network interpretation tool, as a strategy to reduce the search space for adversarial example generation in essay-length NLP input. We find, anchors can be used to identify essays with scores that are sensitive to perturbation and, given substitution into sensitive essays, anchor-based adversarial attack strategies outperform similarly constructed non-anchor-based strategies.
UDC: 004.93'12 TOWARDS AN EMPIRICAL HYPERPARAMETERS OPTIMIZATION IN CNN

The necessity of creating a model of recognition of gestures based on convolutional neural network that effective not only in pattern recognition, but also in terms of learning speed and resource intensity, is substantiated. In this regard, the work solved the problem of optimization of hyperparameters and the selection of the best optimizer backpropagation errors. To implement the tasks, a model was created that can recognize hand gestures, both from a single image and from streaming video. When choosing an optimizer, two adaptive methods were tested Adadelta and Adam. The experiments confirmed the high efficiency of Adadelta, however, when compared with Adam, it showed more than twice as long network training.
Pattern-oriented Implementation for Automatic and Deliberative Skills of a Mobile Robot

This paper presents a patterns -oriented implem entation for automatic and deliberative skills described in AD architecture [1], addressing skill generation, sequencing and interfaces. The skill development framework is based on the concept of distributed active objects, which are autonomous execution entities with their own thread of control, and can interact with other using event notification. The visual proxy architecture used to build the skill interfaces , provides flexible user interfaces with minimal coupling relationships between subsystems. The implemented skill interfaces are being currently used in an international cooperation project in the framework of remote laboratories in the field of autonomous and teleoperated systems [2].
Compact Quad-band MIMO Antenna Array with Low Mutual Coupling for Mobile Terminal

A low mutual coupling multiband two element antenna array for the mobile terminal is proposed. This array consists of two symmetrical antenna elements with grounded branches and a slot in between the microstrip feed lines in the ground plane. The working mechanism is explained by analysing the S-parameter and surface current plots. The measured -10 dB impedance bandwidth of a fabricated prototype covers from 824-894 MHz (GSM850), 1427.9-1495.9 MHz (LTE1500), 1575.42 MHz (GPS-LI), 1710-1880 MHz (GSM1800), 1850-1990 MHz (GSM 1900), 1921-2170 MHz (UMTS), 3400-3600 MHz (LTE- 42), 3550- 3700 MHz (CBRS-citizen broadband radio services), 3600-3800 MHz (LTE-43), 4800-5000 MHz (proposed for 5G), 5725-5875 MHz (WLAN -5.8 GHz) and 5855-5925 MHz (V2X) band. Mutual coupling in all the frequency bands is found to be less than-16 dB while maintaining 27 mm (0.076 times free space wavelength at 850 MHz) edge to edge inter-element spacing. The measured S-parameters and radiation patterns are found to be matching with the simulated results.
Competitive Bundling

This paper proposes a framework for studying competitive bundling in an oligopoly market. We nd that under certain conditions, relative to separate sales pure bundling raises market prices, bene ts rms, and harms consumers when the number of rms is above a threshold (which can be small). This is in contrast to the ndings in the duopoly case on which the existing literature often focuses. Our analysis also sheds new light on how consumer valuation dispersion a¤ects price competition more generally. With mixed bundling, having more than two rms raises signi cant challenges in solving the model. We derive the equilibrium pricing conditions and show that when the number of rms is large, the equilibrium prices have simple approximations and mixed bundling is generally pro-competitive relative to separate sales. Firmsincentives to bundle are also investigated. Keywords: bundling, multiproduct pricing, product compatibility, oligopoly JEL classi cation: D43, L13, L15 I am grateful for helpful comments to Simon Anderson, Mark Armstrong, Heski Bar-Isaac, Luis Cabral, Jay Pil Choi, Ignacio Esponda, Phil Haile, Justin Johnson, Alessandro Lizzeri, Barry Nalebu¤, Andrew Rhodes, Mike Riordan, and seminar participants in BC, Cornell, Duke-UNC, HKUST, Iowa, Michigan, NYU Stern, Richmond Fed, SHUFE, SMU, Toronto, WUSTL Olin, WZB Berlin, Yale, the 13th Columbia/Duke/Northwestern/MIT IO Theory Conference, the 13th NYU IO Day, and the 2015 New Directions in Applied Microeconomics in Caltech. The research assistance of Diego Daruich is greatly appreciated.