LLukas22/scidocs huggingface dataset:
Modeling, simulation and parametric optimization of wire EDM process using response surface methodology coupled with grey-Taguchi technique

In the present work, quadratic mathematical models have been derived to represent the process behavior of wire electrical discharge machining (WEDM) operation. Experiments have been conducted with six process parameters: discharge current, pulse duration, pulse frequency, wire speed, wire tension and dielectric flow rate; to be varied in three different levels. Data related to the process responses viz. material removal rate (MRR), roughness value of the worked surface (a measure of surface finish, SF) and kerf have been measured for each of the experimental runs; which correspond to randomly chosen different combinations of factor setting. These data have been utilized to fit a quadratic mathematical model (Response Surface Model) for each of the responses, which can be represented as a function of the aforesaid six process parameters. Predicted data have been utilized for identification of the parametric influence in the form of graphical representation for showing influence of the parameters on selected responses. Predicted data given by the models (as per Taguchi’s L27 (3*6) Orthogonal Array (OA) design) have been used in search of an optimal parametric combination to achieve desired yield of the process: maximum MRR, good surface finish (minimum roughness value) and dimensional accuracy of the product. Grey relational analysis has been adopted to convert this multi-objective criterion into an equivalent single objective function; overall grey relational grade, which has been optimized (maximized) by using Taguchi technique. Optimal setting has been verified through confirmatory test; showed good agreement to the predicted value. This indicates utility of the grey-Taguchi technique as multi-objective optimizer in the field of wire EDM.
Emotion-based music recommendation using supervised learning

Music recommendation systems are well explored and commonly used but are normally based on manually tagged parameters and simple similarity calculation. Our project proposes a recommendation system based on emotional computing, automatic classification and feature extraction, which recommends music based on the emotion expressed by the song.
 To achieve this goal a set of features is extracted from the song, including the MFCC (mel-frequency cepstral coefficients) following the works of McKinney et al. [6] and a machine learning system is trained on a set of 424 songs, which are categorized by emotion. The categorization of the song is performed manually by multiple persons to avoid error. The emotional categorization is performed using a modified version of the Tellegen-Watson-Clark emotion model [7], as proposed by Trohidis et al. [8]. The System is intended as desktop application that can reliably determine similarities between the main emotion in multiple pieces of music, allowing the user to choose music by emotion. We report our findings below.
7 Tunable infrared laser spectroscopy

The infrared region of the spectrum has been of great interest to researchers for many years with the midto far-IR frequency region from about 100 to 3800 cm 1 of particular interest. The vast majority of chemical substances have vibrational fundamentals in this region, and the absorption of light by these fundamentals provides a nearly universal means for their detection. For many years, work in this area with dispersive spectrometers was hampered by the low spectral brightness of blackbody sources. This situation has changed dramatically with the widespread use of Fourier transform infrared spectrometers with their multiplex advantage largely overcoming the low source intensity problem. To a lesser, but still very significant and growing extent, the development of tunable infrared laser sources is contributing to the development of infrared spectroscopy. The purpose of this review is to describe recent research in tunable infrared laser spectroscopy. This review covers recent developments in three areas: tunable infrared laser sources, techniques for tunable laser infrared spectroscopy and applications of tunable infrared laser spectroscopy. The focus time period of this review is the years 1996 to 2001. There has not been a recent review that has attempted to be as general as to cover the topics listed above. However, there have been a number of recent reviews of various aspects of these subjects and several databases of interest to workers in the field. These reviews and databases will be referred to near the beginning of the appropriate topic. Generally, these reviews will provide the reader with a more in-depth discussion of that particular topic. The present review will focus primarily upon cw infrared lasers and will pay scant attention to most tunable pulsed infrared sources such as free electron lasers, pulsed OPOs, and Raman shifting IR sources. These are important and valuable sources for spectroscopy, but outside our personal areas of interest. There is some ambiguity about what constitutes the infrared region of the spectrum. Generally we define the region as the range from 50 to 12 000 cm . At the low frequency end of this region, we will not consider work done with electronic sources such as traveling wave tubes. At the high end, we will not consider electronic transitions directly excited and detected by fluorescence or the detection or manipulation of atoms. Nor will any LMR or Stark work involving fixed frequency IR
Effect of Different Crosslinking Technologies on Hyaluronic Acid Behavior: A Visual and Microscopic Study of Seven Hyaluronic Acid Gels.

BACKGROUND
The mechanical, rheological, and pharmacological properties of hyaluronic acid (HA) gels differ by their proprietary crosslinking technologies.


OBJECTIVE
To examine the different properties of a range of HA gels using simple and easily reproducible laboratory tests to better understand their suitability for particular indications.


METHODS AND MATERIALS
Hyaluronic acid gels produced by one of 7 different crosslinking technologies were subjected to tests for cohesivity, resistance to stretch, and microscopic examination. These 7 gels were: non-animal stabilized HA (NASHA® [Restylane®]), 3D Matrix (Surgiderm® 24 XP), cohesive polydensified matrix (CPM® [Belotero® Balance]), interpenetrating network-like (IPN-like [Stylage® M]), Vycross® (Juvéderm Volbella®), optimal balance technology (OBT® [Emervel Classic]), and resilient HA (RHA® [Teosyal Global Action]).


RESULTS
Cohesivity varied for the 7 gels, with NASHA being the least cohesive and CPM the most cohesive. The remaining gels could be described as partially cohesive. The resistance to stretch test confirmed the cohesivity findings, with CPM having the greatest resistance. Light microscopy of the 7 gels revealed HA particles of varying size and distribution. CPM was the only gel to have no particles visible at a microscopic level.


CONCLUSION
Hyaluronic acid gels are produced with a range of different crosslinking technologies. Simple laboratory tests show how these can influence a gel's behavior, and can help physicians select the optimal product for a specific treatment indication. Versions of this paper have been previously published in French and in Dutch in the Belgian journal Dermatologie Actualité. Micheels P, Sarazin D, Tran C, Salomon D. Un gel d'acide hyaluronique est-il semblable à son concurrent? Derm-Actu. 2015;14:38-43. J Drugs Dermatol. 2016;15(5):600-606..
Psychotic symptoms in refugees diagnosed with PTSD: a series of case reports.

BACKGROUND
In our clinical work, we treat refugees who have been exposed to trauma and who subsequently develop psychotic symptoms. However, the literature does not address the relationship between refugees with depression, post-traumatic stress disorder (PTSD) and psychotic symptoms. Therefore the aim of this study is firstly to present a series of cases showing how psychotic symptoms may present in refugees diagnosed with PTSD, and secondly to discuss the underlying explanations of the involved psychopathology.


METHODS
The study is based on a presentation of a series of cases. All six cases were selected as they fulfilled the following criteria for inclusion: 1) had a refugee background, 2) fulfilled the PTSD (F43.1) diagnosis upon treatment start and 3) revealed psychotic symptoms during treatment. All six were outpatients at the Psychiatric Trauma Clinic for Refugees at Psychiatric Centre Gentofte in Copenhagen during 2009.


RESULTS
Our cases were all characterized by having severe symptoms of depression and PTSD. Before treatment start they had a score on the Harvard Trauma Questionnaire between 2.9 and 3.8 (cut-off: 2.5), and a score on the Hopkins Symptom Checklist-25 between 2.8 and 3.6 (cut-off: 1.8). Additionally, all cases suffered from varying degrees of positive psychotic symptoms, including auditory hallucinations, olfactory and visual hallucinations, as well as persecutory delusions and delusions of reference.


CONCLUSION
In conclusion, research is needed into the prevalence of psychotic symptoms among refugees with depression and PTSD, including the qualitative dimensions of the symptoms in order to optimize diagnosis and treatment among this group of psychiatric patients.
Evolution strategies: basic introduction

This tutorial gives a basic introduction to evolution strategies, a class of evolutionary algorithms. Key features such as mutation, recombination and selection operators are explained, and specifically the concept of self-adaptation of strategy parameters is introduced. All algorithmic concepts are explained to a level of detail such that an implementation of basic evolution strategies is possible. Some guidelines for utilization as well as some application examples are given
Genome-wide scan of healthy human connectome discovers SPON 1 gene variant in fl uencing dementia severity

Imaging Genetics Center, Laboratory of Neuro Imaging, University of California at Los Angeles School of Medicine, Los Angeles, CA 90095; Department of Radiology, Mayo Clinic, Rochester, MN 55905; Center for Neuroimaging, Department of Radiology and Imaging Science, Indiana University School of Medicine, Indianapolis, IN 46202; Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115; Department of Radiology, Medicine, and Psychiatry, University of California, San Francisco, CA 94121; Magnetic Resonance Spectroscopy Unit, Department of Veterans Affairs Medical Center, San Francisco, CA 94121; Department of Genetics and Computational Biology, Queensland Institute of Medical Research, Brisbane, QLD 4029, Australia; and Center for Advanced Imaging and School of Psychology, University of Queensland, Brisbane, QLD 4072, Australia
Exercise and nutrition routine improving cancer health (ENRICH): The protocol for a randomized efficacy trial of a nutrition and physical activity program for adult cancer survivors and carers

BACKGROUND
The Exercise and Nutrition Routine Improving Cancer Health (ENRICH) study is investigating a novel lifestyle intervention aimed at improving the health behaviors of adult cancer survivors and their carers. The main purpose of the study is to determine the efficacy of lifestyle education and skill development delivered via group-based sessions on the physical activity and dietary behaviors of participants. This article describes the intervention development, study design, and participant recruitment.


METHODS/DESIGN
ENRICH is a randomized controlled trial, conducted in Australia, with two arms: an intervention group participating in six, two-hour face-to-face sessions held over eight weeks, and a wait-list control group. Intervention sessions are co-facilitated by an exercise physiologist and dietician. Content includes healthy eating education, and a home-based walking (utilizing a pedometer) and resistance training program (utilizing elastic tubing resistance devices). The program was developed with reference to social cognitive theory and chronic disease self-management models. The study population consists of cancer survivors (post active-treatment) and their carers recruited through community-based advertising and referral from health professionals. The primary outcome is seven-days of sealed pedometry. Secondary outcomes include: self-reported physical activity levels, dietary intake, sedentary behavior, waist circumference, body mass index, quality of life, and perceived social support. The outcomes will be measured at baseline (one week prior to attending the program), eight-weeks (at completion of intervention sessions), and 20-weeks. The intervention group will also be invited to complete 12-month follow-up data collection. Process evaluation data will be obtained from participants by questionnaire and attendance records.


DISCUSSION
No trials are yet available that have evaluated the efficacy of group-based lifestyle education and skill development amongst mixed groups of cancer survivors and their carers. The results will have implications for the planning and provision of health and support services during the cancer survivorship phase.


CLINICAL TRIALS REGISTRATION
Australian New Zealand Clinical Trials Register identifier: ANZCTRN12609001086257.
Behind closed doors: measurement and analysis of CryptoLocker ransoms in Bitcoin

Bitcoin, a decentralized cryptographic currency that has experienced proliferating popularity over the past few years, is the common denominator in a wide variety of cybercrime. We perform a measurement analysis of CryptoLocker, a family of ransomware that encrypts a victim's files until a ransom is paid, within the Bitcoin ecosystem from September 5, 2013 through January 31, 2014. Using information collected from online fora, such as reddit and BitcoinTalk, as an initial starting point, we generate a cluster of 968 Bitcoin addresses belonging to CryptoLocker. We provide a lower bound for CryptoLocker's economy in Bitcoin and identify 795 ransom payments totalling 1,128.40 BTC ($310,472.38), but show that the proceeds could have been worth upwards of $1.1 million at peak valuation. By analyzing ransom payment timestamps both longitudinally across CryptoLocker's operating period and transversely across times of day, we detect changes in distributions and form conjectures on CryptoLocker that corroborate information from previous efforts. Additionally, we construct a network topology to detail CryptoLocker's financial infrastructure and obtain auxiliary information on the CryptoLocker operation. Most notably, we find evidence that suggests connections to popular Bitcoin services, such as Bitcoin Fog and BTC-e, and subtle links to other cybercrimes surrounding Bitcoin, such as the Sheep Marketplace scam of 2013. We use our study to underscore the value of measurement analyses and threat intelligence in understanding the erratic cybercrime landscape.
Serodiagnosis of leptospirosis in cattle in north of Iran, Gilan

In order to investigate the seroprevalence of leptospirosis in traditional dairy farms, a serological study was conducted in Gilan province. For this study,, a total of 205 serum samples were randomly collected from nine districts of this province. All serum samples were serologically tested by the standard MAT using live antigens representing the following Leptospira interrogans serovars: Gripptyphosa, Icterohaemorrhagiae, Hardjo, Canicola, Ballum and Pomona. The lowest dilution that each serum was considered positive was 1:100. The results of this study showed that 53 (25.8%) animals had a positive reaction against one or more serovars. The most prevalent Leptospira serovar was Canicola representing representing 24 (11.7%) samples, and the least prevalent Leptospira serovars were Icterohaemorrhagiae representing 1 (0.5%) sample and Hardjo, 2 (1%) samples. The most prevalent reciprocal titer was 100 and the highest titer was 400. The results of this study may support that cows may have a role in maintaining Canicola serovar. As mostany of the visited herds had at least one unvaccinated dog for guarding the herds, it has beenis concluded that the high prevalence of Canicola serogroup can be associated with close contact between dogs and cows. In addition, infected cows are a potential zoonotic risk to farmers, milkers, abattoir workers and meat inspectors, which previously has not been seriously considered.
Motion of the shoulder complex during multiplanar humeral elevation.

BACKGROUND
Many prior studies have evaluated shoulder motion, yet no three-dimensional analysis comparing the combined clavicular, scapular, and humeral motion during arm elevation has been done. We aimed to describe and compare dynamic three-dimensional motion of the shoulder complex during raising and lowering the arm across three distinct elevation planes (flexion, scapular plane abduction, and coronal plane abduction).


METHODS
Twelve subjects without a shoulder abnormality were enrolled. Transcortical pin placement into the clavicle, scapula, and humerus allowed electromagnetic motion sensors to be rigidly fixed. The subjects completed two repetitions of raising and lowering the arm in flexion, scapular, and abduction planes. Three-dimensional angles were calculated for sternoclavicular, acromioclavicular, scapulothoracic, and glenohumeral joint motions. Joint angles between humeral elevation planes and between raising and lowering of the arm were compared.


RESULTS
General patterns of shoulder motion observed during humeral elevation were clavicular elevation, retraction, and posterior axial rotation; scapular internal rotation, upward rotation, and posterior tilting relative to the clavicle; and glenohumeral elevation and external rotation. Clavicular posterior rotation predominated at the sternoclavicular joint (average, 31 degrees). Scapular posterior tilting predominated at the acromioclavicular joint (average, 19 degrees). Differences between flexion and abduction planes of humerothoracic elevation were largest for the glenohumeral joint plane of elevation (average, 46 degrees).


CONCLUSIONS
Overall shoulder motion consists of substantial angular rotations at each of the four shoulder joints, enabling the multiple-joint interaction required to elevate the arm overhead.
False Information on Web and Social Media: A Survey

False information can be created and spread easily through the web and social media platforms, resulting in widespread real-world impact. Characterizing how false information proliferates on social platforms and why it succeeds in deceiving readers are critical to develop efficient detection algorithms and tools for early detection. A recent surge of research in this area has aimed to address the key issues using methods based on feature engineering, graph mining, and information modeling. Majority of the research has primarily focused on two broad categories of false information: opinion-based (e.g., fake reviews), and fact-based (e.g., false news and hoaxes). Therefore, in this work, we present a comprehensive survey spanning diverse aspects of false information, namely (i) the actors involved in spreading false information, (ii) rationale behind successfully deceiving readers, (iii) quantifying the impact of false information, (iv) measuring its characteristics across different dimensions, and finally, (iv) algorithms developed to detect false information. In doing so, we create a unified framework to describe these recent methods and highlight a number of important directions for future research.1
Brain-Computer Interfaces: Beyond Medical Applications

Brain-computer interaction has already moved from assistive care to applications such as gaming. Improvements in usability, hardware, signal processing, and system integration should yield applications in other nonmedical areas.
Maximum Efficiency per Torque Direct Flux Vector Control of Induction Motor Drives

In this paper, a loss-minimizing strategy is proposed for induction motor drives to ensure maximum efficiency operation for a given torque demand. The proposed strategy directly regulates the machine stator flux, according to the desired torque, using an optimal stator flux reference. Therefore, the proposed strategy is suitable for motor control schemes that are based on direct flux regulation, such as direct torque control or direct flux vector control. The maximum efficiency per torque (MEPT) stator flux map is computed offline using the traditional no-load and short-circuit test data. An iron loss model based on the stator flux and frequency is also proposed for the calibration of the machine loss model and also for online monitoring of the iron losses during motor operation. The proposed MEPT strategy has been validated on a 2.2-kW induction machine, and the motor efficiency has been measured for different speed values and variable load conditions. The experimental results confirm the effectiveness of the proposed solution.
A COMPARATIVE STUDY ON LOSSY IMAGE COMPRESSION TECHNIQUES

Image compression is used specially for the compression of images where tolerable degradation is required. With the wide use of computers and consequently need for large scale storage and transmission of data, efficient ways of storing of data have become necessary. With the growth of technology and entrance into the Digital Age, the world has found itself amid a vast amount of information. Dealing with such enormous information can often present difficulties. Image compression is minimizing the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The reduction in file size allows more images to be stored in a given amount of disk or memory space. It also reduces the time required for images to be sent over the Internet or downloaded from Web pages.JPEG and JPEG 2000 are two important techniques used for image compression. In this paper, we discuss about lossy image compression techniques and reviews of different basic lossy image compression methods are considered. The methods such as JPEG and JPEG2000 are considered. A conclusion is derived on the basis of these methods Keywords— Data compression, Lossy image compression, JPEG, JPEG2000, DCT, DWT
Immediate cost of dengue to Malaysia and Thailand:An estimate.

We have analysed the average annual cost of dengue in Malaysia during the period 2002–2007 and in Thailand between 2000 and 2005. The key cost components, estimated by combining existing data from both published and unpublished studies, consist of: (i) costs of non-fatal illness; (ii) vector (Aedes mosquitoes) control costs; and (iii) research and development (R&D) costs incurred by government institutions. We found the immediate cost of dengue to Malaysia to be in the range of US$ 88 million to US$ 215 million (mean US$ 133 million) per annum. For Thailand, the corresponding range is US$ 56 million to US$ 264 million (mean US$ 135 million) per annum. For the period analysed, Thailand has 3.6 times more total cases of dengue, but Malaysia has a 4.6 times higher cost per case. In Malaysia, the most important parameters creating uncertainty in the immediate cost are reporting rate, hospitalization rate, and cost per ambulatory case. The corresponding parameters in Thailand are cost per ambulatory case, cost per hospitalized case, and reporting rate. Better estimates of cost per ambulatory case and reporting rate are therefore needed for both countries. Future studies should also refine the estimates of hospitalization rate in Malaysia and the cost per hospitalized case in Thailand. #E-mail: leehl@imr.gov.my; Tel and fax: +603 2616-2688