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https://www.readbyqxmd.com/read/28927812/bi-pssm-position-specific-scoring-matrix-based-intelligent-computational-model-for-identification-of-mycobacterial-membrane-proteins
#1
Muslim Khan, Maqsood Hayat, Sher Afzal Khan, Saeed Ahmad, Nadeem Iqbal
Mycobacterium is a pathogenic bacterium, which is a causative agent of tuberculosis (TB) and leprosy. These diseases are very crucial and become the cause of death of millions of people every year in the world. So, the characterize structure of membrane proteins of the protozoan play a vital role in the field of drug discovery because, without any knowledge about this Mycobacterium's membrane protein and their types, the scientists are unable to treat this pathogenic protozoan. So, an accurate and competitive computational model is needed to characterize this uncharacterized structure of mycobacterium...
September 16, 2017: Journal of Theoretical Biology
https://www.readbyqxmd.com/read/28882734/-control-of-blood-pressure-by-using-an-intelligent-telephone-application-with-feedback-and-competitiveness-strategy-htapp-control-project
#2
J Sánchez-Prieto, F Sabatel, G Villarrubia Mendez, J A Divisón, J A Garcia-Donaire, L Rodríguez-Padial
INTRODUCTION AND OBJECTIVE: Arterial hypertension is a highly important cardiovascular risk factor, with low control percentages. New technologies can help to obtain a better control of this disease. The intention is to know if a mobile application can help achieve this goal. METHOD: A mobile phone application is used to give feedback to physicians with the aim of generate competitiveness in achieving objectives. The application could, at any time, determine the rate of controlled patients (<140/90mmHg) by each physician, and compare them with the mean number of the patients controlled by the group...
September 4, 2017: Semergen
https://www.readbyqxmd.com/read/28862007/-speech-intelligibility-in-noise-at-presbycusis
#3
Olga Dlouhá, Jan Vokřál, Libor Černý
Evaluation of speech recognition is possible by presenting testing material in sentence form with presence of competitive noise. We developed new test of sentence intelligibility in noise in the Czech language. This article demonstrates results of the influence of the babble noise on sentence intelligibility in hearing impaired listeners with presbycusis. The time characteristics of babble noise are similar to human voice. That is the reason why this noise masking is more enhanced at the central hearing level than any other noise masking...
2017: Casopís Lékar̆ů C̆eských
https://www.readbyqxmd.com/read/28799581/notable-deals-in-the-pharmaceutical-industry-in-the-first-quarter-of-2017
#4
E Cruces
During the first quarter of 2017, Cortellis Competitive Intelligence had 1,073 new deals added as part of its ongoing coverage of pharmaceutical licensing activity. This meant a slight increase on the last quarter (1,022) and a similar volume on the same quarter for the previous 1 year (1,141). However, this quarter showed a significant augment in deals worth more than USD 0.5 billion on the last quarter (17 vs. 12). This article will focus on highlighting a number of the most valuable and notable deals forged during the quarter, as well as a selection of deals from some of the most prolific deal makers...
June 2017: Drugs of Today
https://www.readbyqxmd.com/read/28761438/differential-cloud-particles-evolution-algorithm-based-on-data-driven-mechanism-for-applications-of-ann
#5
Wei Li
Computational scientists have designed many useful algorithms by exploring a biological process or imitating natural evolution. These algorithms can be used to solve engineering optimization problems. Inspired by the change of matter state, we proposed a novel optimization algorithm called differential cloud particles evolution algorithm based on data-driven mechanism (CPDD). In the proposed algorithm, the optimization process is divided into two stages, namely, fluid stage and solid stage. The algorithm carries out the strategy of integrating global exploration with local exploitation in fluid stage...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28688568/evaluation-of-speech-in-noise-abilities-in-school-children
#6
Nádia Giulian de Carvalho, Carolina Verônica Lino Novelli, Maria Francisca Colella-Santos
This study aimed to analyze the perception of speech in noise in children with poor school performance and to compare them with children with good school performance, considering gender, age and ear side as variables. The intelligibility of speech was evaluated in school children utilizing the Brazilian Hearing in Noise Test (HINT) in the situations of quiet (Q), Left ear competitive noise (NL), Right Ear Competitive Noise (NR), as well as the global average of other hearing situations, denominated Noise Composite (NC)...
August 2017: International Journal of Pediatric Otorhinolaryngology
https://www.readbyqxmd.com/read/28665695/smart-storage-technologies-applied-to-fresh-foods-a-review
#7
Jingyu Wang, Min Zhang, Zhongxue Gao, Benu Adhikari
Fresh foods are perishable, seasonal and regional in nature and their storage, transportation, and preservation of freshness are quite challenging. Smart storage technologies can online detection and monitor the changes of quality parameters and storage environment of fresh foods during storage, so that operators can make timely adjustments to reduce the loss. This article reviews the smart storage technologies from two aspects: online detection technologies and smartly monitoring technologies for fresh foods...
June 30, 2017: Critical Reviews in Food Science and Nutrition
https://www.readbyqxmd.com/read/28662187/scientometric-and-patentometric-analyses-to-determine-the-knowledge-landscape-in-innovative-technologies-the-case-of-3d-bioprinting
#8
Marisela Rodríguez-Salvador, Rosa María Rio-Belver, Gaizka Garechana-Anacabe
This research proposes an innovative data model to determine the landscape of emerging technologies. It is based on a competitive technology intelligence methodology that incorporates the assessment of scientific publications and patent analysis production, and is further supported by experts' feedback. It enables the definition of the growth rate of scientific and technological output in terms of the top countries, institutions and journals producing knowledge within the field as well as the identification of main areas of research and development by analyzing the International Patent Classification codes including keyword clusterization and co-occurrence of patent assignees and patent codes...
2017: PloS One
https://www.readbyqxmd.com/read/28534784/incorporation-of-solvent-effect-into-multi-objective-evolutionary-algorithm-for-improved-protein-structure-prediction
#9
Shangce Gao, Jiujun Cheng, Yuki Todo, Mengchu Zhou
The problem of predicting the three-dimensional structure of a protein from its one-dimensional sequence has been called the "holy grail of molecular biology", and it has become an important part of structural genomics projects. Despite the rapid developments in computer technology and computational intelligence, it remains challenging and fascinating. In this paper, to solve it we propose a multi-objective evolutionary algorithm. We decompose the protein energy function Chemistry at HARvard Macromolecular Mechanics force fields into bond and non-bond energies as the first and second objectives...
May 17, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28530673/genome-wide-association-meta-analysis-of-78-308-individuals-identifies-new-loci-and-genes-influencing-human-intelligence
#10
Suzanne Sniekers, Sven Stringer, Kyoko Watanabe, Philip R Jansen, Jonathan R I Coleman, Eva Krapohl, Erdogan Taskesen, Anke R Hammerschlag, Aysu Okbay, Delilah Zabaneh, Najaf Amin, Gerome Breen, David Cesarini, Christopher F Chabris, William G Iacono, M Arfan Ikram, Magnus Johannesson, Philipp Koellinger, James J Lee, Patrik K E Magnusson, Matt McGue, Mike B Miller, William E R Ollier, Antony Payton, Neil Pendleton, Robert Plomin, Cornelius A Rietveld, Henning Tiemeier, Cornelia M van Duijn, Danielle Posthuma
Intelligence is associated with important economic and health-related life outcomes. Despite intelligence having substantial heritability (0.54) and a confirmed polygenic nature, initial genetic studies were mostly underpowered. Here we report a meta-analysis for intelligence of 78,308 individuals. We identify 336 associated SNPs (METAL P < 5 × 10(-8)) in 18 genomic loci, of which 15 are new. Around half of the SNPs are located inside a gene, implicating 22 genes, of which 11 are new findings. Gene-based analyses identified an additional 30 genes (MAGMA P < 2...
July 2017: Nature Genetics
https://www.readbyqxmd.com/read/28516139/dataset-of-two-experiments-of-the-application-of-gamified-peer-assessment-model-into-online-learning-environment-meututor
#11
Thyago Tenório, Ig Ibert Bittencourt, Seiji Isotani, Alan Pedro, Patrícia Ospina, Daniel Tenório
In this dataset, we present the collected data of two experiments with the application of the gamified peer assessment model into online learning environment MeuTutor to allow the comparison of the obtained results with others proposed models. MeuTutor is an intelligent tutoring system aims to monitor the learning of the students in a personalized way, ensuring quality education and improving the performance of its members (Tenório et al., 2016) [1]. The first experiment evaluated the effectiveness of the peer assessment model through metrics as final grade (result), time to correct the activities and associated costs...
June 2017: Data in Brief
https://www.readbyqxmd.com/read/28479977/the-foundations-of-plant-intelligence
#12
REVIEW
Anthony Trewavas
Intelligence is defined for wild plants and its role in fitness identified. Intelligent behaviour exhibited by single cells and systems similarity between the interactome and connectome indicates neural systems are not necessary for intelligent capabilities. Plants sense and respond to many environmental signals that are assessed to competitively optimize acquisition of patchily distributed resources. Situations of choice engender motivational states in goal-directed plant behaviour; consequent intelligent decisions enable efficient gain of energy over expenditure...
June 6, 2017: Interface Focus
https://www.readbyqxmd.com/read/28402332/deep-learning-for-flow-sculpting-insights-into-efficient-learning-using-scientific-simulation-data
#13
Daniel Stoecklein, Kin Gwn Lore, Michael Davies, Soumik Sarkar, Baskar Ganapathysubramanian
A new technique for shaping microfluid flow, known as flow sculpting, offers an unprecedented level of passive fluid flow control, with potential breakthrough applications in advancing manufacturing, biology, and chemistry research at the microscale. However, efficiently solving the inverse problem of designing a flow sculpting device for a desired fluid flow shape remains a challenge. Current approaches struggle with the many-to-one design space, requiring substantial user interaction and the necessity of building intuition, all of which are time and resource intensive...
April 12, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28389682/-the-triumph-of-stupidity-deep-blue-s-victory-over-garri-kasparov-the-controversy-about-its-impact-on-artficial-intelligence-research
#14
Martina Heßler
The competition between the chess computer Deep Blue and the former chess world champion Garri Kasparov in 1997 was a spectacle staged for the media. However, the chess game, like other games, was also a test field for artificial intelligence research. On the one hand Deep Blue's victory was called a "milestone" for AI research, on the other hand, a dead end, since the superiority of the chess computer was based on pure computing power and had nothing to do with "real" AI.The article questions the premises of these different interpretations and maps Deep Blue and its way of playing chess into the history of AI...
March 2017: NTM
https://www.readbyqxmd.com/read/28387386/notable-deals-in-the-pharmaceutical-industry-in-the-fourth-quarter-of-2016
#15
P D'Souza
During the fourth quarter of 2016, Cortellis Competitive Intelligence had 889 new deals added as part of its ongoing coverage of pharmaceutical licensing activity. This was an increase on both the last quarter (865) but a decrease from the same quarter for the previous year (915). This article will focus on highlighting a number of the most valuable and notable deals forged during the quarter, as well as a selection of deals from some of the most prolific deal makers. An update on milestones, options and terminated deals of significance will also be presented, along with an early outlook on the next quarter's pharmaceutical licensing activity...
January 2017: Drugs of Today
https://www.readbyqxmd.com/read/28328516/anrad-a-neuromorphic-anomaly-detection-framework-for-massive-concurrent-data-streams
#16
Qiuwen Chen, Ryan Luley, Qing Wu, Morgan Bishop, Richard W Linderman, Qinru Qiu
The evolution of high performance computing technologies has enabled the large-scale implementation of neuromorphic models and pushed the research in computational intelligence into a new era. Among the machine learning applications, unsupervised detection of anomalous streams is especially challenging due to the requirements of detection accuracy and real-time performance. Designing a computing framework that harnesses the growing computing power of the multicore systems while maintaining high sensitivity and specificity to the anomalies is an urgent research topic...
March 17, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28327219/intelligence-competitive-altruism-and-clever-silliness-may-underlie-bias-in-academe
#17
Guy Madison, Edward Dutton, Charlotta Stern
Why is social bias and its depressing effects on low-status or low-performing groups exaggerated? We show that the higher intelligence of academics has at best a very weak effect on reducing their bias, facilitates superficially justifying their biases, and may make them better at understanding the benefits of social conformity in general and competitive altruism specifically. We foresee a surge in research examining these mechanisms and recommend, meanwhile, reviving and better observing scientific ideals.
January 2017: Behavioral and Brain Sciences
https://www.readbyqxmd.com/read/28268933/on-efficient-meta-filtering-of-big-data
#18
Keith Dillon, Yu-Ping Wang
There is an explosion in the number of new approaches being developed for extracting information from biological data, creating a need for intelligent ways to utilize so many methods. We take a perspective based on viewing methods as filters which reject undesired data and which may have complementary and redundant performance. We consider approaches for efficiently combining such filters. We provide quantitative strategies for choosing which filters to use and the best order to apply them, based on viewing each filter as a coordinate transformation on performance metrics...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227139/on-efficient-meta-filtering-of-big-data
#19
Keith Dillon, Yu-Ping Wang, Keith Dillon, Yu-Ping Wang, Yu-Ping Wang, Keith Dillon
There is an explosion in the number of new approaches being developed for extracting information from biological data, creating a need for intelligent ways to utilize so many methods. We take a perspective based on viewing methods as filters which reject undesired data and which may have complementary and redundant performance. We consider approaches for efficiently combining such filters. We provide quantitative strategies for choosing which filters to use and the best order to apply them, based on viewing each filter as a coordinate transformation on performance metrics...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28188882/intelligibility-in-speech-maskers-with-a-binaural-cochlear-implant-sound-coding-strategy-inspired-by-the-contralateral-medial-olivocochlear-reflex
#20
Enrique A Lopez-Poveda, Almudena Eustaquio-Martín, Joshua S Stohl, Robert D Wolford, Reinhold Schatzer, José M Gorospe, Santiago Santa Cruz Ruiz, Fernando Benito, Blake S Wilson
We have recently proposed a binaural cochlear implant (CI) sound processing strategy inspired by the contralateral medial olivocochlear reflex (the MOC strategy) and shown that it improves intelligibility in steady-state noise (Lopez-Poveda et al., 2016, Ear Hear 37:e138-e148). The aim here was to evaluate possible speech-reception benefits of the MOC strategy for speech maskers, a more natural type of interferer. Speech reception thresholds (SRTs) were measured in six bilateral and two single-sided deaf CI users with the MOC strategy and with a standard (STD) strategy...
May 2017: Hearing Research
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