nils-herrmann/clean_scirepeval huggingface dataset:
ScaleMine: Scalable Parallel Frequent Subgraph Mining in a Single Large Graph
Venue: SC16: International Conference for High Performance Computing, Networking, Storage and Analysis

Frequent Subgraph Mining is an essential operation for graph analytics and knowledge extraction. Due to its high computational cost, parallel solutions are necessary. Existing approaches either suffer from load imbalance, or high communication and synchronization overheads. In this paper we propose ScaleMine; a novel parallel frequent subgraph mining system for a single large graph. ScaleMine introduces a novel two phase approach. The first phase is approximate; it quickly identifies subgraphs that are frequent with high probability, while collecting various statistics. The second phase computes the exact solution by employing the results of the approximation to achieve good load balance; prune the search space; generate efficient execution plans; and guide intra task parallelism. Our experiments show that ScaleMine scales to 8,192 cores on a Cray XC40 (12x more than competitors) supports graphs with one billion edges (10x larger than competitors) and is at least an order of magnitude faster than existing solutions.
Expressive Control of Singing Voice Synthesis Using Musical Contexts and a Parametric F0 Model
Venue: INTERSPEECH

Expressive singing voice synthesis requires an appropriate control of both prosodic and timbral aspects. While it is desirable to have an intuitive control over the expressive parameters, synthesis systems should be able to produce convincing results directly from a score. As countless interpretations of a same score are possible, the system should also target a particular singing style, which implies to mimic the various strategies used by different singers. Among the control parameters involved, the pitch (F0) should be modeled in priority. In previous work, a parametric F0 model with intuitive controls has been proposed, but no automatic way to choose the model parameters was given. In the present work, we propose a new approach for modeling singing style, based on parametric templates selection. In this approach, the F0 parameters and phonemes durations are extracted from annotated recordings, along with a rich description of contex tual informations, and stored to form a database of parametric templates. This database is then used to build a model of the singing style using decision trees. At the synthesis stage, appropriate parameters are then selected according to the target contexts. The results produced by this approach have been evaluated by means of a listening test.
A HMM based mandarin chinese singing voice synthesis system
Venue: IEEE/CAA Journal of Automatica Sinica

We propose a mandarin Chinese singing voice synthesis system, in which hidden Markov model (HMM) based speech synthesis technique is used. A mandarin Chinese singing voice corpus is recorded and musical contextual features are well designed for training. F0 and spectrum of singing voice are simultaneously modeled with context dependent HMMs. There is a new problem, F0 of singing voice is always sparse because of large amount of context, i.e. tempo and pitch of note, key, time signature and etc. So the features hardly ever appeared in the training data cannot be well obtained. To address this problem, difference between F0 of singing voice and that of musical score (DF0) is modeled by a single Viterbi training. To overcome the over smoothing of the generated F0 contour, syllable level F0 model based on discrete cosine transforms (DCT) is applied, F0 contour is generated by integrating two level statistical models. The experimental results demonstrate that the proposed system outperforms the baseline system in both objective and subjective evaluations. The proposed system can generate a more natural F0 contour. Furthermore, the syllable level F0 model can make singing voice more expressive.
Simple multi frame analysis methods for estimation of amplitude spectral envelope estimation in singing voice
Venue: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

In the state of the art, a single frame of DFT transform is commonly used as a basis for building amplitude spectral envelopes. Multiple Frame Analysis (MFA) has already been suggested for envelope estimation, but often with excessive complexity. In this paper, two MFA based methods are presented: one simplifying an existing Least Square (LS) solution, and another one based on a simple linear interpolation. In the context of singing voice we study sustained segments with vibrato, because these ones are obviously critical for singing voice synthesis. They also provide a convenient context to study, prior to extension of this work in more general contexts. Numerical and perceptual experiments show clear improvements of the two methods described compared to the state of the art and encourage further studies in this research direction.
Multi Frame Amplitude Envelope Estimation for Modification of Singing Voice
Venue: IEEE/ACM Transactions on Audio, Speech, and Language Processing

Singing voice synthesis benefits from very high quality estimation of the resonances and anti resonances of the vocal tract filter (VTF) i.e. an amplitude spectral envelope. In the state of the art, a single frame of DFT transform is commonly used as a basis for building spectral envelopes. Even though multiple frame analysis (MFA) has already been suggested for envelope estimation, it is not yet used in concrete applications. Indeed, even though existing attempts have shown very interesting results, we will demonstrate that they are either over complicated or fail to satisfy the high accuracy that is necessary for singing voice. In order to allow future applications of MFA, this article aims to improve the theoretical understanding and advantages of MFA based methods. The use of singing voice signals is very beneficial for studying MFA methods due to the fact that the VTF configuration can be relatively stable and, at the same time, the vibrato creates a regular variation that is easy to model. By simplifying and extending previous works, we also suggest and describe two MFA based methods. To better understand the behaviors of the envelope estimates, we designed numerical measurements to assess single frame analysis and MFA methods using synthetic signals. With listening tests, we also designed two proofs of concept using pitch scaling and conversion of timbre. Both evaluations show clear and positive results for MFA based methods, thus, encouraging this research direction for future applications.
Bertsokantari: a TTS Based Singing Synthesis System
Venue: INTERSPEECH

This paper describes the implementation of the Aholab entry for the Singing Synthesis Challenge: Fill in the Gap. Our approach in this work makes use of an HTS based Text to Speech (TTS) synthesizer for Basque to generate the singing voice. The prosody related parameters provided by the TTS system for a spoken version of the score are modified to adapt them to the requirements of the music score concerning syllables duration and tone, while the spectral parameters are basically maintained. The paper describes the processing details developed to improve the quality of the output signal: the syllable timing, the generation of the intonation with vibrato and the manipulation of the model states. In this entry, the lyrics have been freely translated into Basque and the rhythm has been adapted to a Basque traditional rhythm.
Development of a statistical parametric synthesis system for operatic singing in German
Venue: SSW

In this paper we describe the development of a Hidden Markov Model (HMM) based synthesis system for operatic singing in German, which is an extension of the HMM based synthesis system for popular songs in Japanese and English called "Sinsy" The implementation of this system consists of German text analysis, lexicon and Letter To Sound (LTS) conversion, and syllable duplication, which enables us to convert a German MusicXML input into context dependent labels for acoustic modelling. Using the front end, we develop two operatic singing voices, female mezzo soprano and male bass voices, based on our new database, which consists of singing data of professional opera singers based in Vienna. We describe the details of the database and the recording procedure that is used to acquire singing data of four opera singers in German. For HMM training, we adopt a singer (speaker) dependent training procedure. For duration modelling we propose a simple method that hierarchically constrains note durations by the overall utterance duration and then constrains phone durations by the synthesised note duration. We evaluate the performance of the voices with two vibrato modelling methods that have been proposed in the literature and show that HMM based vibrato modelling can improve the overall quality.
Detecting spammers on social networks based on a hybrid model
Venue: 2016 IEEE International Conference on Big Data (Big Data)

The prosperity of social networks provides users with convenient communication but also attracts a large number of spammers. To solve this problem, this paper combines supervised learning and unsupervised learning algorithms, and proposes a novel hybrid model based on OPTICS and SVM. First, we collected a dataset from Sina Weibo including 10,000 users and 134,188 messages; then extracted the content based features and user behavior based features from the dataset; afterwards, we applied the features into the hybrid model to establish the classification model. The experiment shows that the proposed approach is capable of detecting spammers effectively with 87.6% spammers and 94.7% legitimate users correctly classified.
Relationship Marketing Practices and Customer Satisfaction in the Ghanaian Banking Sector

In recent times, Ghanaian banking environment has been keenly competitive and therefore requires the banks to be more adept in their strategic approach to meet the growing demands of customers. Effective management of customer relationships is believed to be key in the approach of wining and maintaining customers. The objective of the study is to examine the impact of relationship marketing practices on customer satisfaction in the Ghanaian banking sector. In order to achieve the objective of the study, data was collected using questionnaires from 250 customers of universal banks in Ghana. Reliability test and multiple regression analysis were carried out using Statistical Package for Social Sciences (SPSS) The main findings of the study show that relationship marketing practices have a significant effect on relationship quality and customer satisfaction. The study also reveals that relationship quality has a significant effect on customer satisfaction. The results disclose that trust, reciprocity, commitment, competence, shared value and communication were the key determinants of relationship quality. The findings also show that relationship quality, trust, competence, shared value and communication were important in determining and influencing customer satisfaction. The findings suggest that banks which desire to have a good quality relationship with customers should insist that their managers and staff act trustworthily, competently, show strong commitment to service, communicate efficiently and reliably, pay much attention to shared values, and improve reciprocal abilities of the employees. The findings also suggest that banks can create customer satisfaction by exhibiting trustworthy behaviour, communicating information to customers efficiently and accurately, delivering services competently, pay much attention to shared values, and improving overall customer relationship quality.  Relationship marketing, Customer satisfaction, Banking industry, Ghana
A SURVEY ON GROUP KEY MANAGEMENT FRAMEWORKS FOR SECURE GROUP COMMUNICATION IN MOBILE AD HOC NETWORKS

The objective of ensuring anytime and anywhere networking services for collaborative and group oriented applications can be realised with the concept of Mobile Ad Hoc Networks (MANETs) due to its certain inherent characteristics such as self organizing, infrastructure less setup, and little or no requirement of planning and ease of deployment. On the other hand, some other inherent characteristics of MANETs such as dynamic topology, limited resource constraints, open wireless medium for communication, lack of central administration, multi hop communication, etc. demands some emphasis about security for group communication. Also internal as well as external security attacks are possible. To tackle this issue significant research has been carried out in recent years but most of the schemes use the cryptographic keying material. So the key management takes place a vital starring role. An efficient scalable and secure group key management framework for MANETs is an ongoing hot research area. The purpose of this paper is to give the survey about group key management goals, state of the art frameworks, discuss their pros and cons, and also future challenges for young research community in the context of MANETs.
Two new species of the Rhyacophila anatina Species Group from China (Trichoptera: Rhyacophilidae)
Venue: Zootaxa

Two new species of the Rhyacophila anatina Species Group, R. coalita n. sp. and R. bicaudata n. sp. are described, diagnosed and illustrated. Rhyacophila coalita n. sp. is somewhat similar to R. yipung Schmid and R. elongata Kimmins in the male genitalia, but can be distinguished from them by the deep incision at the apex of the dorsal process of the aedeagus, fused anal sclerites, and a pair of membranous bulbs at the middle of the aedeagus. Rhyacophila bicaudata n. sp. is similar to R. triangularis Schmid in male genitalia, but can be diagnosed by the longer preanal appendages, the slightly incised posteroventral margins of preanal appendages, and a gradually narrowed apicodorsal lobe of segment IX.
New species and new records of genus Rhyacophila Pictet (Trichoptera: Rhyacophilidae) from Dabie Mountains, east central China.
Venue: Zootaxa

Three new species of Rhyacophila, Rhyacophila longiramata n. sp. Rhyacophila haplostephanodes n. sp. and Rhyacophila brevitergata n. sp. from the Dabie Mountains of east central China, are described and illustrated. Rhyacophila longiramata n. sp. and R. haplostephanodes n. sp. both are highly specialized, which makes them very difficult to be put in any existing species group. Possible positions for these two species are discussed. Rhyacophila brevitergata n. sp. belongs to the R. nigrocephala Species Group. Rhyacophila spp. from Dabie Mountains are listed.
Notes on the Rhyacophila scissa species group with description of two new taxa from China (Trichoptera, Rhyacophilidae)
Venue: Zootaxa

One new species, R. meniscoides n. sp. and 1 new subspecies, R. morsei concaviuscula n. sp. are described, diagnosed and illustrated. Two diagnostic species complexes within the R. scissa Species Group, the R. scissa Diagnostic Species Complex and the R. schismatica Diagnostic Species Complex, are recognized and delimited. The 15 previously described species and 1 new species and 1 new subspecies described in this article are assigned to the complexes accordingly. Distribution maps of all 17 members in the Species Group are presented.
Prevalence and predictors of potential drug food interactions among the elderly using prescription drugs

Drug food interactions (DFI) occur when there is concomitant administration of a drug and a food that leads to an alteration in the kinetics or dynamics of the drug or nutrient, or the impairment of the nutritional status as a result of the administration of a drug. The elderly are at greatest risk of experiencing DFI, as they are more prone to chronic use of medications and polypharmacy. The objective this research is to determine the prevalence of potential drug food interactions in the elderly using prescription drug. A cross sectional study was conducted with 342 elderly serviced by a public primary care service. Potential drug food interactions (PDFI) were identified through the MICROMEDEX (r) Interaction database program. The prevalence of DFI was 58.5% in a total of 278 potential interactions identified. Potential drug food interactions most frequently occurred in patients who maintained a habit of eating and taking medication at the same time. Multivariate analysis revealed the increased chances of DFI with increasing amount of drugs in use by the elderly. Being diabetic and have poor knowledge about the use of drug therapy were also factors that increased the chance of occurrence of PDMI. The occurrence of DFI is more frequent than potential drug interactions. The drugs involved in most DFI are commonly used in the pharmacotherapy of diabetes and hypertension, and the factors that are associated with the occurrence of PDFI were the number of medications taken and the level of knowledge of the elderly about their pharmacotherapy.
A short review of drug food interactions of medicines treating overactive bladder syndrome
Venue: International Journal of Clinical Pharmacy

Overactive bladder syndrome is a condition where one or more of the symptoms such as pollakiuria, urgent need to urinate, nocturia and urinary incontinence is observed. Its prevalence ranges between 7 and 27 in men and 9 43 in women. The role of a pharmacist is to educate the patient on medications administration scheme, and drug interactions with particular food or food components.  To assess a potential impact of food and fruit juice on the pharmacokinetic and therapeutic effects of medications used in treating overactive bladder syndrome. This information will enhance pharmaceutical care and is vital and helpful for pharmacists counseling their patients.  In order to gather information on interactions of medications employed in bladder dysfunctions, the English language reports published in the PubMed, Embase, Cochrane and CINAHL database over the years 1996 2015 were studied. Additionally, other resources, namely drugs.com, Medscape, UpToDate, Micromedex, Medical Letter, as well as Stockley Drugs Interaction electronic publication were included in the study. The analysis also covered product data sheets for particular medicinal products.  Meals and the consumption of grapefruit juice were found to exert a diversified effect on the pharmacokinetics of drugs employed in overactive bladder syndrome therapy. Neither tolterodine, nor mirabegron interact with food and citrus fruit juice, whereas darifenacin, fesoterodine, oxybutynin and solifenacin do interact with grapefruit and others citrus fruit juice. The effects of such interactions may potentially be negative to patients. Trospium absorption is significantly decreased by food.  For selected medicines used in treating bladder dysfunctions food and grapefruit juice consumption may significantly affect efficacy and safety of the therapy. All information on the topic is likely to enhance the quality of pharmaceutical care.
Addressing drug drug and drug food interactions through personalized empowerment services for healthcare
Venue: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Personalized healthcare systems support the provision of timely and appropriate information regarding healthcare options and treatment alternatives. Especially for patients that receive multi drug treatments a key issue is the minimization of the risk of adverse effects due to drug drug interactions (DDIs) DDIs may be the result of doctor prescribed drugs but also due to self medication of conventional drugs, alternative medicines, food habits, alcohol or smoking. It is therefore crucial for personalized health systems, apart from assisting physicians for optimal prescription practices, to also provide appropriate information for individual users for drug drug interactions or similar information regarding risks for modulation of the ensuing treatment. In this manuscript we describe a DDI service including drug food, drug herb and other lifestyle related factors, developed in the context of a personalized patient empowerment platform. The solution enables guidance to patients for their medication on how to reduce the risk of unwanted drug interactions and side effects in a seamless and transparent way. We present and analyze the implemented services and provide examples on using an alerting service to identify potential DDIs in two different chronic diseases, congestive heart failure and osteoarthritis.
A Review on Drug Drug and Drug Food Interactions in Patients During the Treatment of Diabetes Mellitus

Drug interaction is defined as the modification of the effects of a drug (object drug) by the prior and/or the concomitant administration of another drug (precipitant drug) Drug interaction may either increase or decrease the intended effect of one or both drugs. It may transform the diagnostic, preventive or therapeutic activity of any drug. Druginteractions can be an extremely main contributory factor for the incidence and occurrence of adverse drug reactions and adverse drug events. The rate of occurrence and incidence of drug interactions is much higher in patients receiving combinations of drugs or poly pharmacy or suffered from co morbidity of diseases such as diabetes, hypertension, peptic ulcer, fungal infections and neurodegenerative disorders, which require prolong and multi treatments and the risk of drug interaction will increase as they are treated with multi therapies. It is concluded that diabetic patients are at higher risk for drug interaction as receiving a combination of therapies for diabetic complications as well, so that the rate of occurrence of drug interaction is rapidly amplifying. Diabetes mellitus has been considered as a foremost public health challenge around the world because of its high prevalence and associated increase in morbidity and mortality. The main objective of this review study is to highlights the various drug interactions likely drug drug and drug food interactions as well as reports unwanted effects of other treatment associated with antidiabetic agents in the diabetic patients.
Text aware image dehazing using stroke width transform
Venue: 2016 IEEE International Conference on Image Processing (ICIP)

Haze removal, which is also referred to as image dehazing, has been extensively used to improve the visibility in images captured under inclement weather. In particular, the dark channel prior (DCP) based single image dehazing has received the greatest amount of interest due to its superior performance. However, since the DCP is based on the characteristics of natural outdoor images, its reliability tends to decrease especially when an image contains man made textures. In this paper, we present a DCP based single image dehazing method that is robust when text or text like patterns are present in the image. The proposed method first estimates the text likelihood from a hazy image using the stroke width transform (SWT) and uses the estimated likelihood to correct the DCP. The experimental results show that the proposed algorithm outperforms the conventional DCP based dehazing methods.