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https://www.readbyqxmd.com/read/29778051/assessing-psychopathy-in-forensic-schizophrenia-spectrum-disorders-validating-the-comprehensive-assessment-of-the-psychopathic-personality-institutional-rating-scale-capp-irs
#1
Louis De Page, Sophie Mercenier, Pierre Titeca
The assessment of psychopathy in (forensic) schizophrenia spectrum disorders is long-standing debate. In the present study, we investigated the psychometric properties of the Comprehensive Assessment of Psychopathic Personality-Institutional Rating Scale (CAPP-IRS) in a sample of 72 male forensic patients with a primary diagnosis of schizophrenia spectrum disorders. We compared the CAPP-IRS' psychometric properties to those of the Psychopathy Checklist-Revised (PCL-R). The CAPP-IRS showed good interrater reliability and internal consistency except for the CAPP-IRS Cognition and Emotional Domains...
May 16, 2018: Psychiatry Research
https://www.readbyqxmd.com/read/29777423/an-artificial-intelligent-single-cell-is-part-of-the-cell-dream-world
#2
EDITORIAL
Yiming Zeng, Xiaoyang Chen, Hongzhi Gao, Xiangdong Wang
No abstract text is available yet for this article.
May 18, 2018: Cell Biology and Toxicology
https://www.readbyqxmd.com/read/29777175/artificial-intelligence-in-radiology
#3
REVIEW
Ahmed Hosny, Chintan Parmar, John Quackenbush, Lawrence H Schwartz, Hugo J W L Aerts
Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated remarkable progress in image-recognition tasks. Methods ranging from convolutional neural networks to variational autoencoders have found myriad applications in the medical image analysis field, propelling it forward at a rapid pace. Historically, in radiology practice, trained physicians visually assessed medical images for the detection, characterization and monitoring of diseases. AI methods excel at automatically recognizing complex patterns in imaging data and providing quantitative, rather than qualitative, assessments of radiographic characteristics...
May 17, 2018: Nature Reviews. Cancer
https://www.readbyqxmd.com/read/29776624/cognition-and-objectively-measured-sleep-duration-in-children-a-systematic-review-and-meta-analysis
#4
Michelle A Short, Sarah Blunden, Gabrielle Rigney, Lisa Matricciani, Scott Coussens, Chelsea M Reynolds, Barbara Galland
BACKGROUND: Sleep recommendations are widely used to guide communities on children's sleep needs. Following recent adjustments to guidelines by the National Sleep Foundation and the subsequent consensus statement by the American Academy of Sleep Medicine, we undertook a systematic literature search to evaluate the current evidence regarding relationships between objectively measured sleep duration and cognitive function in children aged 5 to 13 years. METHODS: Cognitive function included measures of memory, attention, processing speed, and intelligence in children aged 5 to 13 years...
June 2018: Sleep Health
https://www.readbyqxmd.com/read/29775710/dual-ph-sensitive-supramolecular-micelles-from-star-shaped-pdmaema-based-on-%C3%AE-cyclodextrin-for-drug-release
#5
Zaishuai Zhou, Feng Guo, Nairong Wang, Meng Meng, Guiying Li
Star-shaped poly(2-(dimethylamino)ethyl methacrylate) based on β-cyclodextrin (β-CD-(PDMAEMA)7 ) was synthesized by means of atomic transfer radical polymerization (ATRP). Dual pH-sensitive supramolecular micelles were formed from β-CD-(PDMAEMA)7 and benzimidazole modified poly(ε-caprolactone) (BM-PCL) through the host-guest interactions between β-CD and benzimidazole. The supramolecular micelles have regular spherical structure with hydrophobic β-CD/BM-PCL as the core and pH-sensitive PDMAEMA as the shell...
May 15, 2018: International Journal of Biological Macromolecules
https://www.readbyqxmd.com/read/29774921/a-flexible-pressure-sensor-based-on-rgo-polyaniline-wrapped-sponge-with-tunable-sensitivity-for-human-motion-detection
#6
Gang Ge, Yichen Cai, Qiuchun Dong, Yizhou Zhang, Jinjun Shao, Wei Huang, Xiaochen Dong
High-performance stretchable and wearable electronic skins (E-skins) with high sensitivity and a large sensing range are urgently required with the rapid development of the Internet of things and artificial intelligence. Herein, a reduced graphene oxide (rGO)/polyaniline wrapped sponge is prepared via rGO coating and the in situ synthesis of polyaniline nanowires (PANI NWs) on the backbones of sponge for the fabrication of pressure sensors. From the as-prepared flexible sensor, tunable sensitivity (0.042 to 0...
May 18, 2018: Nanoscale
https://www.readbyqxmd.com/read/29774657/cheminformatics-in-drug-discovery-an-industrial-perspective
#7
REVIEW
Hongming Chen, Thierry Kogej, Ola Engkvist
Cheminformatics has established itself as a core discipline within large scale drug discovery operations. It would be impossible to handle the amount of data generated today in a small molecule drug discovery project without persons skilled in cheminformatics. In addition, due to increased emphasis on "Big Data", machine learning and artificial intelligence, not only in the society in general, but also in drug discovery, it is expected that the cheminformatics field will be even more important in the future...
May 18, 2018: Molecular Informatics
https://www.readbyqxmd.com/read/29774612/elastic-fiber-supercapacitors-for-wearable-energy-storage
#8
REVIEW
Si Qin, Shayan Seyedin, Jizhen Zhang, Zhiyu Wang, Fangli Yang, Yuqing Liu, Jun Chen, Joselito M Razal
The development of wearable devices such as smart watches, intelligent garments, and wearable health-monitoring devices calls for suitable energy storage devices which have matching mechanical properties and can provide sufficient power for a reasonable duration. Stretchable fiber-based supercapacitors are emerging as a promising candidates for this purpose because they are lightweight, flexible, have high energy and power density, and the potential for easy integration into traditional textile processes. An important characteristic that is oftentimes ignored is stretchability-fiber supercapacitors should be able to accommodate large elongation during use, endure a range of bending motions, and then revert to its original form without compromising electrical and electrochemical performance...
May 17, 2018: Macromolecular Rapid Communications
https://www.readbyqxmd.com/read/29774424/lingual-and-jaw-kinematic-abnormalities-precede-speech-and-swallowing-impairments-in-als
#9
Bridget J Perry, Rosemary Martino, Yana Yunusova, Emily K Plowman, Jordan R Green
Early identification of bulbar involvement in persons with ALS is critical for improving diagnosis and prognosis; however, efficacious diagnostic markers have not yet been identified. The purpose of this study was to determine whether kinematic changes of the tongue and jaw during swallowing, measured using 3D electromagnetic articulography (EMA), predate clinically identifiable symptoms of speech and swallowing impairment in persons diagnosed with ALS. Data were collected from 16 adults diagnosed with ALS and 18 neurotypical controls...
May 17, 2018: Dysphagia
https://www.readbyqxmd.com/read/29774207/overview-of-social-cognitive-dysfunctions-in-rare-developmental-syndromes-with-psychiatric-phenotype
#10
REVIEW
Aurore Morel, Elodie Peyroux, Arnaud Leleu, Emilie Favre, Nicolas Franck, Caroline Demily
Rare neurodevelopmental syndromes often present social cognitive deficits that may underlie difficulties in social interactions and increase the risk of psychosis or autism spectrum disorders. However, little is known regarding the specificities of social cognitive impairment across syndromes while it remains a major challenge for the care. Our review provides an overview of social cognitive dysfunctions in rare diseases associated with psychiatric symptoms (with a prevalence estimated between 1 in 1,200 and 1 in 25,000 live births: 22q11...
2018: Frontiers in Pediatrics
https://www.readbyqxmd.com/read/29773372/bionanocomposites-materials-for-food-packaging-applications-concepts-and-future-outlook
#11
REVIEW
Ahmed M Youssef, Samah M El-Sayed
Bionanocomposites materials open a chance for the usage of novel, high performance, lightweight, and ecofriendly composite materials making them take place the traditional non-biodegradable plastic packaging materials. Biopolymers like polysaccharides such as chitosan (CS), carboxymethyl cellulose (CMC), starch and cellophane could be used to resolve environmental hazards owing to their biodegradability and non-toxicity. In addition these advantages, polysaccharides have some disadvantages for example poor mechanical properties and low resistance to water...
August 1, 2018: Carbohydrate Polymers
https://www.readbyqxmd.com/read/29772668/an-efficient-framework-for-development-of-task-oriented-dialog-systems-in-a-smart-home-environment
#12
Youngmin Park, Sangwoo Kang, Jungyun Seo
In recent times, with the increasing interest in conversational agents for smart homes, task-oriented dialog systems are being actively researched. However, most of these studies are focused on the individual modules of such a system, and there is an evident lack of research on a dialog framework that can integrate and manage the entire dialog system. Therefore, in this study, we propose a framework that enables the user to effectively develop an intelligent dialog system. The proposed framework ontologically expresses the knowledge required for the task-oriented dialog system's process and can build a dialog system by editing the dialog knowledge...
May 16, 2018: Sensors
https://www.readbyqxmd.com/read/29771674/multisource-transfer-double-dqn-based-on-actor-learning
#13
Jie Pan, Xuesong Wang, Yuhu Cheng, Qiang Yu
Deep reinforcement learning (RL) comprehensively uses the psychological mechanisms of "trial and error" and "reward and punishment" in RL as well as powerful feature expression and nonlinear mapping in deep learning. Currently, it plays an essential role in the fields of artificial intelligence and machine learning. Since an RL agent needs to constantly interact with its surroundings, the deep Q network (DQN) is inevitably faced with the need to learn numerous network parameters, which results in low learning efficiency...
June 2018: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/29771663/applications-of-deep-learning-and-reinforcement-learning-to-biological-data
#14
Mufti Mahmud, Mohammed Shamim Kaiser, Amir Hussain, Stefano Vassanelli
Rapid advances in hardware-based technologies during the past decades have opened up new possibilities for life scientists to gather multimodal data in various application domains, such as omics, bioimaging, medical imaging, and (brain/body)-machine interfaces. These have generated novel opportunities for development of dedicated data-intensive machine learning techniques. In particular, recent research in deep learning (DL), reinforcement learning (RL), and their combination (deep RL) promise to revolutionize the future of artificial intelligence...
June 2018: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/29771635/pathogenesis-based-treatments-in-primary-sjogren-s-syndrome-using-artificial-intelligence-and-advanced-machine-learning-techniques-a-systematic-literature-review
#15
Nathan Foulquier, Pascal Redou, Christophe Le Gal, Bénédicte Rouvière, Jacques-Olivier Pers, Alain Saraux
Big data analysis has become a common way to extract information from complex and large datasets among most scientific domains. This approach is now used to study large cohorts of patients in medicine. This work is a review of publications that have used artificial intelligence and advanced machine learning techniques to study physio pathogenesis-based treatments in pSS. A systematic literature review retrieved all articles reporting on the use of advanced statistical analysis applied to the study of systemic autoimmune diseases (SADs) over the last decade...
May 17, 2018: Human Vaccines & Immunotherapeutics
https://www.readbyqxmd.com/read/29771614/timely-granular-and-actionable-informatics-in-the-public-health-3-0-era
#16
Y Claire Wang, Karen DeSalvo
Ensuring the conditions for all people to be healthy, though always the core mission of public health, has evolved in approaches in response to the changing epidemiology and challenges. In the Public Health 3.0 era, multisectorial efforts are essential in addressing not only infectious or noncommunicable diseases but also upstream social determinants of health. In this article, we argue that actionable, geographically granular, and timely intelligence is an essential infrastructure for the protection of our health today...
May 17, 2018: American Journal of Public Health
https://www.readbyqxmd.com/read/29771494/screen-printed-washable-electronic-textiles-as-self-powered-touch-gesture-tribo-sensor-for-intelligent-human-machine-interaction
#17
Ran Cao, Xianjie Pu, Xinyu Du, Wei Yang, Jiaona Wang, Hengyu Guo, Shuyu Zhao, Zuqing Yuan, Chi Zhang, Congju Li, Zhong Lin Wang
Electronic textile (E-textile) with designable electric circuit and multi-functionalities holds great application prospect for future wearable electronics. However, most of the E-textiles still have critical challenges, including air permeability, satisfactory washability and massive fabrication. In this work, we fabricate a washable E-textile that addresses all of the concerns and show its application as a self-powered triboelectric gesture textile for intelligent human-machine interface. Utilizing conductive carbon nanotubes (CNTs) and screen-printing technology, this kind of E-textile embraces high conductivity (0...
May 17, 2018: ACS Nano
https://www.readbyqxmd.com/read/29770669/-design-and-implementation-of-field-questionnaire-survey-system-of-taeniasis-cysticercosis
#18
Li Huan-Zhang, Xue Jing-Bo, Qian Men-Bao, Zang Xin-Zhong, Xia Shang, Wang Qiang, Chen Ying-Dan, Li Shi-Zhu
A taeniasis/cysticercosis information management system was designed to achieve the dynamic monitoring of the epidemic situation of taeniasis/cysticercosis and improve the intelligence level of disease information management. The system includes three layer structures (application layer, technical core layer, and data storage layer) and designs a datum transmission and remote communication system of traffic information tube in Browser/Server architecture. The system is believed to promote disease datum collection...
April 17, 2018: Zhongguo Xue Xi Chong Bing Fang Zhi za Zhi, Chinese Journal of Schistosomiasis Control
https://www.readbyqxmd.com/read/29770293/current-monitoring-and-innovative-predictive-modeling-to-improve-care-in-the-pediatric-cardiac-intensive-care-unit
#19
REVIEW
Mary K Olive, Gabe E Owens
The objectives of this review are (I) to describe the challenges associated with monitoring patients in the pediatric cardiac intensive care unit (PCICU) and (II) to discuss the use of innovative statistical and artificial intelligence (AI) software programs to attempt to predict significant clinical events. Patients cared for in the PCICU are clinically fragile and at risk for fatal decompensation. Current monitoring modalities are often ineffective, sometimes inaccurate, and fail to detect a deteriorating clinical status in a timely manner...
April 2018: Translational Pediatrics
https://www.readbyqxmd.com/read/29770255/a-method-for-the-interpretation-of-flow-cytometry-data-using-genetic-algorithms
#20
Cesar Angeletti
Background: Flow cytometry analysis is the method of choice for the differential diagnosis of hematologic disorders. It is typically performed by a trained hematopathologist through visual examination of bidimensional plots, making the analysis time-consuming and sometimes too subjective. Here, a pilot study applying genetic algorithms to flow cytometry data from normal and acute myeloid leukemia subjects is described. Subjects and Methods: Initially, Flow Cytometry Standard files from 316 normal and 43 acute myeloid leukemia subjects were transformed into multidimensional FITS image metafiles...
2018: Journal of Pathology Informatics
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