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https://www.readbyqxmd.com/read/28934302/predicting-couple-therapy-outcomes-based-on-speech-acoustic-features
#1
Md Nasir, Brian Robert Baucom, Panayiotis Georgiou, Shrikanth Narayanan
Automated assessment and prediction of marital outcome in couples therapy is a challenging task but promises to be a potentially useful tool for clinical psychologists. Computational approaches for inferring therapy outcomes using observable behavioral information obtained from conversations between spouses offer objective means for understanding relationship dynamics. In this work, we explore whether the acoustics of the spoken interactions of clinically distressed spouses provide information towards assessment of therapy outcomes...
2017: PloS One
https://www.readbyqxmd.com/read/28933947/on-the-safety-of-machine-learning-cyber-physical-systems-decision-sciences-and-data-products
#2
Kush R Varshney, Homa Alemzadeh
Machine learning algorithms increasingly influence our decisions and interact with us in all parts of our daily lives. Therefore, just as we consider the safety of power plants, highways, and a variety of other engineered socio-technical systems, we must also take into account the safety of systems involving machine learning. Heretofore, the definition of safety has not been formalized in a machine learning context. In this article, we do so by defining machine learning safety in terms of risk, epistemic uncertainty, and the harm incurred by unwanted outcomes...
September 2017: Big Data
https://www.readbyqxmd.com/read/28911111/combinatorial-ensemble-mirna-target-prediction-of-co-regulation-networks-with-non-prediction-data
#3
Jason A Davis, Sita J Saunders, Martin Mann, Rolf Backofen
MicroRNAs (miRNAs) are key regulators of cell-fate decisions in development and disease with a vast array of target interactions that can be investigated using computational approaches. For this study, we developed metaMIR, a combinatorial approach to identify miRNAs that co-regulate identified subsets of genes from a user-supplied list. We based metaMIR predictions on an improved dataset of human miRNA-target interactions, compiled using a machine-learning-based meta-analysis of established algorithms. Simultaneously, the inverse dataset of negative interactions not likely to occur was extracted to increase classifier performance, as measured using an expansive set of experimentally validated interactions from a variety of sources...
September 6, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28903861/a-decision-support-system-and-rule-based-algorithm-to-augment-the-human-interpretation-of-the-12-lead-electrocardiogram
#4
Andrew W Cairns, Raymond R Bond, Dewar D Finlay, Daniel Guldenring, Fabio Badilini, Guido Libretti, Aaron J Peace, Stephen J Leslie
BACKGROUND: The 12-lead Electrocardiogram (ECG) has been used to detect cardiac abnormalities in the same format for more than 70years. However, due to the complex nature of 12-lead ECG interpretation, there is a significant cognitive workload required from the interpreter. This complexity in ECG interpretation often leads to errors in diagnosis and subsequent treatment. We have previously reported on the development of an ECG interpretation support system designed to augment the human interpretation process...
August 9, 2017: Journal of Electrocardiology
https://www.readbyqxmd.com/read/28901446/a-support-vector-machine-classifier-for-the-prediction-of-osteosarcoma-metastasis-with-high-accuracy
#5
Yunfei He, Jun Ma, Xiaojian Ye
In this study, gene expression profiles of osteosarcoma (OS) were analyzed to identify critical genes associated with metastasis. Five gene expression datasets were screened and downloaded from Gene Expression Omnibus (GEO). Following assessment by MetaQC, the dataset GSE9508 was excluded for poor quality. Subsequently, differentially expressed genes (DEGs) between metastatic and non-metastatic OS were identified using meta‑analysis. A protein-protein interaction (PPI) network was constructed with information from Human Protein Reference Database (HPRD) for the DEGs...
September 7, 2017: International Journal of Molecular Medicine
https://www.readbyqxmd.com/read/28892478/continuous-robust-sound-event-classification-using-time-frequency-features-and-deep-learning
#6
Ian McLoughlin, Haomin Zhang, Zhipeng Xie, Yan Song, Wei Xiao, Huy Phan
The automatic detection and recognition of sound events by computers is a requirement for a number of emerging sensing and human computer interaction technologies. Recent advances in this field have been achieved by machine learning classifiers working in conjunction with time-frequency feature representations. This combination has achieved excellent accuracy for classification of discrete sounds. The ability to recognise sounds under real-world noisy conditions, called robust sound event classification, is an especially challenging task that has attracted recent research attention...
2017: PloS One
https://www.readbyqxmd.com/read/28890949/designing-contestability-interaction-design-machine-learning-and-mental-health
#7
Tad Hirsch, Kritzia Merced, Shrikanth Narayanan, Zac E Imel, David C Atkins
We describe the design of an automated assessment and training tool for psychotherapists to illustrate challenges with creating interactive machine learning (ML) systems, particularly in contexts where human life, livelihood, and wellbeing are at stake. We explore how existing theories of interaction design and machine learning apply to the psychotherapy context, and identify "contestability" as a new principle for designing systems that evaluate human behavior. Finally, we offer several strategies for making ML systems more accountable to human actors...
June 2017: Drosophila Information Service
https://www.readbyqxmd.com/read/28890685/emg-based-continuous-and-simultaneous-estimation-of-arm-kinematics-in-able-bodied-individuals-and-stroke-survivors
#8
Jie Liu, Sang Hoon Kang, Dali Xu, Yupeng Ren, Song Joo Lee, Li-Qun Zhang
Among the potential biological signals for human-machine interactions (brain, nerve, and muscle signals), electromyography (EMG) widely used in clinical setting can be obtained non-invasively as motor commands to control movements. The aim of this study was to develop a model for continuous and simultaneous decoding of multi-joint dynamic arm movements based on multi-channel surface EMG signals crossing the joints, leading to application of myoelectrically controlled exoskeleton robots for upper-limb rehabilitation...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28882707/functional-connectivity-of-large-scale-brain-networks-in-patients-with-anti-nmda-receptor-encephalitis-an-observational-study
#9
Michael Peer, Harald Prüss, Inbal Ben-Dayan, Friedemann Paul, Shahar Arzy, Carsten Finke
BACKGROUND: In anti-NMDA receptor (NMDAR) encephalitis, antibody-mediated dysfunction of NMDARs causes severe neuropsychiatric symptoms, including psychosis, memory deficits, and movement disorders. However, it remains elusive how antibody-mediated NMDAR dysfunction leads to these symptoms, and whether the symptoms arise from impairment in specific brain regions and the interactions between impaired regions. METHODS: In this observational study, we recruited 43 patients with anti-NMDAR encephalitis from a tertiary university hospital and 43 age-matched and sex-matched healthy controls without a history of neurological or psychiatric disorders, who were recruited from the general population of Berlin...
September 4, 2017: Lancet Psychiatry
https://www.readbyqxmd.com/read/28882199/defining-the-architecture-of-the-core-machinery-for-the-assembly-of-fe-s-clusters-in-human-mitochondria
#10
Oleksandr Gakh, Wasantha Ranatunga, Belinda K Galeano, Douglas S Smith, James R Thompson, Grazia Isaya
Although Fe-S clusters may assemble spontaneously from elemental iron and sulfur in protein-free systems, the potential toxicity of free Fe(2+), Fe(3+), and S(2-) ions in aerobic environments underscores the requirement for specialized proteins to oversee the safe assembly of Fe-S clusters in living cells. Prokaryotes first developed multiprotein systems for Fe-S cluster assembly, from which mitochondria later derived their own system and became the main Fe-S cluster suppliers for eukaryotic cells. Early studies in yeast and human mitochondria indicated that Fe-S cluster assembly in eukaryotes is centered around highly conserved Fe-S proteins (human ISCU) that serve as scaffolds upon which new Fe-S clusters are assembled from (i) elemental sulfur, provided by a pyridoxal phosphate-dependent cysteine desulfurase (human NFS1) and its stabilizing-binding partner (human ISD11), and (ii) elemental iron, provided by an iron-binding protein of the frataxin family (human FXN)...
2017: Methods in Enzymology
https://www.readbyqxmd.com/read/28880900/phase-separation-of-the-plasma-membrane-in-human-red-blood-cells-as-a-potential-tool-for-diagnosis-and-progression-monitoring-of-type-1-diabetes-mellitus
#11
Giuseppe Maulucci, Ermanno Cordelli, Alessandro Rizzi, Francesca De Leva, Massimiliano Papi, Gabriele Ciasca, Daniela Samengo, Giovambattista Pani, Dario Pitocco, Paolo Soda, Giovanni Ghirlanda, Giulio Iannello, Marco De Spirito
Glycosylation, oxidation and other post-translational modifications of membrane and transmembrane proteins can alter lipid density, packing and interactions, and are considered an important factor that affects fluidity variation in membranes. Red blood cells (RBC) membrane physical state, showing pronounced alterations in Type 1 diabetes mellitus (T1DM), could be the ideal candidate for monitoring the disease progression and the effects of therapies. On these grounds, the measurement of RBC membrane fluidity alterations can furnish a more sensitive index in T1DM diagnosis and disease progression than Glycosylated hemoglobin (HbA1c), which reflects only the information related to glycosylation processes...
2017: PloS One
https://www.readbyqxmd.com/read/28878703/you-look-human-but-act-like-a-machine-agent-appearance-and-behavior-modulate-different-aspects-of-human-robot-interaction
#12
Abdulaziz Abubshait, Eva Wiese
Gaze following occurs automatically in social interactions, but the degree to which gaze is followed depends on whether an agent is perceived to have a mind, making its behavior socially more relevant for the interaction. Mind perception also modulates the attitudes we have toward others, and determines the degree of empathy, prosociality, and morality invested in social interactions. Seeing mind in others is not exclusive to human agents, but mind can also be ascribed to non-human agents like robots, as long as their appearance and/or behavior allows them to be perceived as intentional beings...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28874412/isolation-of-a-membrane-protein-complex-for-type-vii-secretion-in-staphylococcus-aureus
#13
Khaled A Aly, Mark Anderson, Ryan Jay Ohr, Dominique Missiakas
The ESAT6-like secretion system (ESS) of Staphylococcus aureus promotes effector protein transport across the bacterial envelope. Genes in the ESS cluster are required for S. aureus establishment of persistent abscess lesions and the modulation of immune responses during blood stream infections. The biochemical functions of most of the ESS gene products, specifically the identity of secretion machine components, are however unknown. Earlier work demonstrated that deletion of essB, which encodes a membrane protein, abolishes S...
September 5, 2017: Journal of Bacteriology
https://www.readbyqxmd.com/read/28866546/understanding-the-relationship-between-interactive-optimisation-and-visual-analytics-in-the-context-of-prostate-brachytherapy
#14
Jie Liu, Tim Dwyer, Kim Marriott, Jeremy Millar, Annette Haworth
The fields of operations research and computer science have long sought to find automatic solver techniques that can find high-quality solutions to difficult real-world optimisation problems. The traditional workflow is to exactly model the problem and then enter this model into a general-purpose "black-box" solver. In practice, however, many problems cannot be solved completely automatically, but require a "human-in-the-loop" to iteratively refine the model and give hints to the solver. In this paper, we explore the parallels between this interactive optimisation workflow and the visual analytics sense-making loop...
August 29, 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/28866527/streetvizor-visual-exploration-of-human-scale-urban-forms-based-on-street-views
#15
Qiaomu Shen, Wei Zeng, Yu Ye, Stefan Muller Arisona, Simon Schubiger, Remo Burkhard, Huamin Qu
Urban forms at human-scale, i.e., urban environments that individuals can sense (e.g., sight, smell, and touch) in their daily lives, can provide unprecedented insights on a variety of applications, such as urban planning and environment auditing. The analysis of urban forms can help planners develop high-quality urban spaces through evidence-based design. However, such analysis is complex because of the involvement of spatial, multi-scale (i.e., city, region, and street), and multivariate (e.g., greenery and sky ratios) natures of urban forms...
August 29, 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/28865195/session-42-human-machine-interaction-in-medicine-new-approaches-and-current-challenges
#16
Markus Hessinger, Arthur Buchta, Eike Christmann, Roland Werthschützky, Mario Kupnik
No abstract text is available yet for this article.
August 28, 2017: Biomedizinische Technik. Biomedical Engineering
https://www.readbyqxmd.com/read/28851391/surface-emg-signals-in-very-late-stage-of-duchenne-muscular-dystrophy-a-case-study
#17
Joan Lobo-Prat, Mariska M H P Janssen, Bart F J M Koopman, Arno H A Stienen, Imelda J M de Groot
BACKGROUND: Robotic arm supports aim at improving the quality of life for adults with Duchenne muscular dystrophy (DMD) by augmenting their residual functional abilities. A critical component of robotic arm supports is the control interface, as is it responsible for the human-machine interaction. Our previous studies showed the feasibility of using surface electromyography (sEMG) as a control interface to operate robotic arm supports in adults with DMD (22-24 years-old). However, in the biomedical engineering community there is an often raised skepticism on whether adults with DMD at the last stage of their disease have sEMG signals that can be measured and used for control...
August 29, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28814032/studying-the-implementation-of-iterative-impedance-control-for-assistive-hand-rehabilitation-using-an-exoskeleton
#18
T Martineau, R Vaidyanathan
A positive training synergy can be obtained when two individuals attempt to learn the same motor task while mechanically coupled to one another. In this paper, we have studied how mimicking this interaction through impedance control can be exploited to improve assistance delivered by hand exoskeleton devices during rehabilitation. In this context, the machine and user take complementary roles akin to two coupled individuals. We present the derivation of a dynamic model of the human hand for the purpose of controller development for new hand exoskeleton platforms...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813959/-wink-to-grasp-comparing-eye-voice-emg-gesture-control-of-grasp-with-soft-robotic-gloves
#19
Bernardo Noronha, Sabine Dziemian, Giuseppe A Zito, Charalambos Konnaris, A Aldo Faisal
The ability of robotic rehabilitation devices to support paralysed end-users is ultimately limited by the degree to which human-machine-interaction is designed to be effective and efficient in translating user intention into robotic action. Specifically, we evaluate the novel possibility of binocular eye-tracking technology to detect voluntary winks from involuntary blink commands, to establish winks as a novel low-latency control signal to trigger robotic action. By wearing binocular eye-tracking glasses we enable users to directly observe their environment or the actuator and trigger movement actions, without having to interact with a visual display unit or user interface...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813938/online-sparse-gaussian-process-based-human-motion-intent-learning-for-an-electrically-actuated-lower-extremity-exoskeleton
#20
Yi Long, Zhi-Jiang Du, Chao-Feng Chen, Wei Dong, Wei-Dong Wang
The most important step for lower extremity exoskeleton is to infer human motion intent (HMI), which contributes to achieve human exoskeleton collaboration. Since the user is in the control loop, the relationship between human robot interaction (HRI) information and HMI is nonlinear and complicated, which is difficult to be modeled by using mathematical approaches. The nonlinear approximation can be learned by using machine learning approaches. Gaussian Process (GP) regression is suitable for high-dimensional and small-sample nonlinear regression problems...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
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