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https://www.readbyqxmd.com/read/29793134/voxel-based-automated-detection-of-focal-cortical-dysplasia-lesions-using-diffusion-tensor-imaging-and-t2-weighted-mri-data
#1
Yanming Wang, Yawen Zhou, Huijuan Wang, Jin Cui, Benedictor Alexander Nguchu, Xufei Zhang, Bensheng Qiu, Xiaoxiao Wang, Mingwang Zhu
The aim of this study was to automatically detect focal cortical dysplasia (FCD) lesions in patients with extratemporal lobe epilepsy by relying on diffusion tensor imaging (DTI) and T2-weighted magnetic resonance imaging (MRI) data. We implemented an automated classifier using voxel-based multimodal features to identify gray and white matter abnormalities of FCD in patient cohorts. In addition to the commonly used T2-weighted image intensity feature, DTI-based features were also utilized. A Gaussian processes for machine learning (GPML) classifier was tested on 12 patients with FCD (8 with histologically confirmed FCD) scanned at 1...
May 21, 2018: Epilepsy & Behavior: E&B
https://www.readbyqxmd.com/read/29793101/-survey-of-wellbeing-of-young-children-swyc-how-does-it-fit-for-screening-developmental-delay-in-brazilian-children-aged-4-to-58-months
#2
R S Moreira, L C Magalhães, C M Siqueira, C R L Alves
OBJECTIVE: To replicate the original normative study of the SWYC's Milestones Questionnaires for children in Brazil. Our goals were to compare the performance of Brazilian and North American children using this screening tool and to verify the reliability and validity of the Brazilian version. STUDY DESIGN AND SETTING: Cross-sectional study with children aged 1-65 months and their guardians, recruited in southern Brazil. Parents were interviewed using the Developmental Milestones questionnaire, which contains 10 questions about cognitive, motor, social, and language abilities...
May 21, 2018: Research in Developmental Disabilities
https://www.readbyqxmd.com/read/29793060/a-computational-framework-for-the-detection-of-subcortical-brain-dysmaturation-in-neonatal-mri-using-3d-convolutional-neural-networks
#3
Rafael Ceschin, Alexandria Zahner, William Reynolds, Jenna Gaesser, Giulio Zuccoli, Cecilia W Lo, Vanathi Gopalakrishnan, Ashok Panigrahy
Deep neural networks are increasingly being used in both supervised learning for classification tasks and unsupervised learning to derive complex patterns from the input data. However, the successful implementation of deep neural networks using neuroimaging datasets requires adequate sample size for training and well-defined signal intensity based structural differentiation. There is a lack of effective automated diagnostic tools for the reliable detection of brain dysmaturation in the neonatal period, related to small sample size and complex undifferentiated brain structures, despite both translational research and clinical importance...
May 21, 2018: NeuroImage
https://www.readbyqxmd.com/read/29792750/metrics-to-evaluate-quality-of-glycemic-control-comparison-of-time-in-target-hypoglycemic-and-hyperglycemic-ranges-with-risk-indices
#4
David Rodbard
OBJECTIVE: We sought to cross validate several metrics for quality of glycemic control, hypoglycemia, and hyperglycemia. RESEARCH DESIGN AND METHODS: We analyzed the mathematical properties of several metrics for overall glycemic control, and for hypo- and hyperglycemia, to evaluate their similarities, differences, and interrelationships. We used linear regression to describe interrelationships and examined correlations between metrics within three conceptual groups...
May 2018: Diabetes Technology & Therapeutics
https://www.readbyqxmd.com/read/29792725/novel-breast-imaging-and-machine-learning-predicting-breast-lesion-malignancy-at-cone-beam-ct-using-machine-learning-techniques
#5
Johannes Uhlig, Annemarie Uhlig, Meike Kunze, Tim Beissbarth, Uwe Fischer, Joachim Lotz, Susanne Wienbeck
OBJECTIVE: The purpose of this study is to evaluate the diagnostic performance of machine learning techniques for malignancy prediction at breast cone-beam CT (CBCT) and to compare them to human readers. SUBJECTS AND METHODS: Five machine learning techniques, including random forests, back propagation neural networks (BPN), extreme learning machines, support vector machines, and K-nearest neighbors, were used to train diagnostic models on a clinical breast CBCT dataset with internal validation by repeated 10-fold cross-validation...
May 24, 2018: AJR. American Journal of Roentgenology
https://www.readbyqxmd.com/read/29792574/evaluation-of-a-mobile-application-for-pelvic-floor-exercises
#6
Michelle N Han, Tamara Grisales, Aparna Sridhar
BACKGROUND: Pelvic floor exercises are effective in improving muscle strength and urinary incontinence symptoms. Increasingly popular mobile applications can be effective in teaching patients these exercises. INTRODUCTION: A mobile application, Bwom© , aims to educate women about pelvic floor exercises with individually tailored plans relevant to the user's risk factors. The objective of this study is to assess the understandability and actionability of Bwom. MATERIALS AND METHODS: This is a cross-sectional survey of patients and providers at an academic medical center...
May 24, 2018: Telemedicine Journal and E-health: the Official Journal of the American Telemedicine Association
https://www.readbyqxmd.com/read/29792355/patient-activation-among-people-living-with-hiv-a-cross-sectional-comparative-analysis-with-people-living-with-diabetes-mellitus
#7
Claire E Kendall, Esther S Shoemaker, Lois Crowe, Paul MacPherson, Marissa L Becker, Eleni Levreault, Lisa M Boucher, Ron Rosenes, Christine Bibeau, Philip Lundrigan, Clare E Liddy
Standardized self-management supports are an integral part of care delivery for many chronic conditions. We used the validated Patient Activation Measure (PAM®) to assess level of engagement for self-management from a sample of 165 people living with HIV (PLWH) and 163 people with diabetes. We conducted multivariable logistic regression to assess associations between demographics and PAM® scores. PLWH had high levels of activation that were no different from those of people with diabetes (mean score = 67...
May 24, 2018: AIDS Care
https://www.readbyqxmd.com/read/29792129/exploring-intimate-partner-violence-before-during-and-after-pregnancy-in-bangladesh
#8
Md Jahirul Islam, Lisa Broidy, Paul Mazerolle, Kathleen Baird, Nurunnahar Mazumder
Intimate partner violence (IPV) against pregnant or postpartum women is known to have multiple detrimental effects on women and their children. Although results from past research suggest much continuity in trajectories of IPV, it is unclear whether pregnancy interrupts or augments these patterns. Little is known about how physical, sexual, and psychological IPV change and overlap throughout a woman's transition to parenthood. Relying on population-based data, this study examines the prevalence, co-occurring nature, and the changing patterns of physical, sexual, and psychological IPV before, during, and after pregnancy in Bangladesh...
May 1, 2018: Journal of Interpersonal Violence
https://www.readbyqxmd.com/read/29791670/cross-cultural-validation-of-the-child-adolescent-teasing-scale-for-colombian-students
#9
Karol Johanna Briñez Ariza, Clara Virginia Caro Castillo, María Elena Echevarría-Guanilo, Marta Lenise Do Prado, Silvana Silveira Kempfer
OBJECTIVE: to carry out the cross-cultural validation of the instrument "Child Adolescent Teasing Scale" for the Colombian student population. METHOD: methodological study carried out with students aged 8 to 15, from public and private educational institutions in the municipality of Ibagué, Colombia. The form for the characterization of students and the Child Adolescent Teasing Scale were used. RESULTS: the cross-cultural adaptation process was organized in seven steps: comparison of the Spanish version of the instrument with the original English version, back-translation, consensus version, face validity and terminology adjustment by students, face and content validity by experts, assessment committee for the final version, pilot test and reliability...
2018: Revista Latino-americana de Enfermagem
https://www.readbyqxmd.com/read/29791628/validation-of-the-falls-efficacy-scale-international-in-a-sample-of-portuguese-elderly
#10
Cristina Maria Alves Marques-Vieira, Luís Manuel Mota de Sousa, Lisete Maria Ribeiro de Sousa, Sílvia Maria Alves Caldeira Berenguer
OBJECTIVE: to translate and adapt Falls Efficacy Scale - International (FES-I). To analyze the psychometric properties of the FES-I Portugal version. METHOD: psychometric study. Sample consisting of 170 elderly people residing in the Autonomous Region of Madeira. A two- part form was used (sociodemographic characterization and FES-I Portugal). The cross-cultural adaptation was performed and the following psychometric properties were evaluated: validity (construct, predictive, and discriminant), reliability (Cronbach's alpha), and inter-rater reliability...
2018: Revista Brasileira de Enfermagem
https://www.readbyqxmd.com/read/29791380/polarization-sensitive-laser-feedback-interferometry-for-specular-reflection-removal
#11
Alireza Mowla, Benjamin Wensheng Du, Thomas Taimre, Karl Bertling, Stephen Wilson, Aleksandar D Rakić
Specular reflection from the surface of targets or prepared specimens represents a significant problem in optical microscopy and related optical imaging techniques as usually the surface reflection does not contribute to the desired signal. Solutions exist for many of these imaging techniques; however, remedial techniques for imaging based on laser feedback interferometry (LFI) are absent. We propose a reflection cancellation technique based on crossed-polarization filtering that is tailored for a typical LFI configuration...
May 20, 2018: Applied Optics
https://www.readbyqxmd.com/read/29791344/analytical-performance-improvement-of-laser-induced-breakdown-spectroscopy-for-the-processing-degree-of-wheat-flour-using-a-continuous-wavelet-transform
#12
Ping Yang, Yining Zhu, Shisong Tang, Zhongqi Hao, Lianbo Guo, Xiangyou Li, Yongfeng Lu, Xiaoyan Zeng
Quality and safety of food are two of the most important matters in our lives. Wheat is one of the most important products in the modern agricultural processing industry. Issues of mislabeling and adulteration are of increasingly serious concern in the grain market. They threaten the credibility of producers and traders and the rights of the consumers. Therefore, it is very significant to guarantee the processing degree of wheat flour. In this work, two different spectral peak recognition methods, i.e., artificial spectral peak recognition and automatic spectral peak recognition, are carried out to study the adulteration problem in the food industry...
May 10, 2018: Applied Optics
https://www.readbyqxmd.com/read/29791337/applicability-of-a-model-with-average-inversion-level-to-a-cladding-pumped-multicore-erbium-doped-fiber-amplifier
#13
Hirotaka Ono, Makoto Yamada
This paper investigates the applicability of a model of a cladding-pumped multicore erbium-doped fiber amplifier (CP-MC-EDFA) that employs the average inversion level of an erbium ion. The model is modified to include the effects of multiple cores for modifications of the background loss coefficient of the pump light. The model is validated experimentally by measurements of the pump power, gain transient, and intercore cross-gain modulation of a cladding-pumped 12-core EDFA in which the pump light is uniformly distributed in the inner cladding...
May 10, 2018: Applied Optics
https://www.readbyqxmd.com/read/29791322/a-low-complexity-algorithm-for-detection-of-atrial-fibrillation-using-the-ecg
#14
Nadi Sadr, Madhuka Jayawardhana, Thuy T Pham, Rui Tang, Asghar Tabatabaei Balaei, Philip de Chazal
We present a method for automatic processing of single lead electrocardiogram (ECG) with duration of up to 60 seconds for the detection of atrial fibrillation (AF). The method categorises an ECG recording into one of four categories: Normal, AF, Other and Noisy rhythm. 8,528 scored ECG signals were used for training the classification model and 3,658 scored ECG signals were used for an independent performance assessment. Our method was based on features derived from RR interbeat intervals. The features included time domain, frequency domain and distribution features...
May 23, 2018: Physiological Measurement
https://www.readbyqxmd.com/read/29790017/machine-learning-in-the-integration-of-simple-variables-for-identifying-patients-with-myocardial-ischemia
#15
Luis Eduardo Juarez-Orozco, Remco J J Knol, Carlos A Sanchez-Catasus, Octavio Martinez-Manzanera, Friso M van der Zant, Juhani Knuuti
BACKGROUND: A significant number of variables are obtained when characterizing patients suspected with myocardial ischemia or at risk of MACE. Guidelines typically use a handful of them to support further workup or therapeutic decisions. However, it is likely that the numerous available predictors maintain intrinsic complex interrelations. Machine learning (ML) offers the possibility to elucidate complex patterns within data to optimize individual patient classification. We evaluated the feasibility and performance of ML in utilizing simple accessible clinical and functional variables for the identification of patients with ischemia or an elevated risk of MACE as determined through quantitative PET myocardial perfusion reserve (MPR)...
May 22, 2018: Journal of Nuclear Cardiology: Official Publication of the American Society of Nuclear Cardiology
https://www.readbyqxmd.com/read/29789710/is-misreporting-of-dietary-intake-by-weighed-food-records-or-24-hour-recalls-food-specific
#16
Leanne Garden, Heather Clark, Stephen Whybrow, R James Stubbs
BACKGROUND/OBJECTIVES: Healthy eating advice is informed, in part, by dietary surveys that rely on self-reported data. Misreporting of food intake may distort relationships between diet and health outcomes. This study directly quantified the food groups that were under-reported or over-reported in common dietary assessment techniques. SUBJECTS/METHODS: Food and drink consumption of 59 adults, with ad libitum access to a range of familiar foods, was objectively and covertly measured by investigators, and validated against independent measures of energy balance, while participants were resident in the Human Nutrition Unit of the Rowett Institute...
May 23, 2018: European Journal of Clinical Nutrition
https://www.readbyqxmd.com/read/29789709/consumption-of-green-tea-but-not-coffee-is-associated-with-the-oral-health-related-quality-of-life-among-an-older-japanese-population-kyoto-kameoka-cross-sectional-study
#17
Hinako Nanri, Yosuke Yamada, Aya Itoi, Emi Yamagata, Yuya Watanabe, Tsukasa Yoshida, Motoko Miyake, Heiwa Date, Kazuko Ishikawa-Takata, Mitsuyoshi Yoshida, Takeshi Kikutani, Misaka Kimura
BACKGROUND/OBJECTIVES: The consumption of both green tea and coffee is known to induce positive health effects; however, it remains unclear whether there is an association between the consumption of these beverages and oral health-related quality of life (OHRQoL). Thus, the present study investigated the relationship between the consumption of green tea and coffee and OHRQoL. SUBJECTS/METHODS: We analyzed cross-sectional baseline data in 2012. The subjects were 7514 Japanese participants (3563 men, 3951 women; ≥65 years of age)...
May 23, 2018: European Journal of Clinical Nutrition
https://www.readbyqxmd.com/read/29789670/noise-estimation-model-development-using-high-resolution-transportation-and-land-use-regression
#18
Omer Harouvi, Eran Ben-Elia, Roni Factor, Kees de Hoogh, Itai Kloog
Noise pollution is a common phenomenon of the 21st century. Noise prediction models tend to estimate noise levels mainly from road traffic sources (such as cars, public transportation etc.). This paper describes the adoption of land use regression (LUR) modeling methodology to assess noise pollution in two periods of the day (rush hour and off-peak), in two major cities in Israel (Tel Aviv and Beer Sheva). For both rush hour and off-peak times, 20 min short term measurements were used to develop a LUR noise estimation model...
May 23, 2018: Journal of Exposure Science & Environmental Epidemiology
https://www.readbyqxmd.com/read/29789515/a-general-cross-layer-cloud-scheduling-framework-for-multiple-iot-computer-tasks
#19
Guanlin Wu, Weidong Bao, Xiaomin Zhu, Xiongtao Zhang
The diversity of IoT services and applications brings enormous challenges to improving the performance of multiple computer tasks' scheduling in cross-layer cloud computing systems. Unfortunately, the commonly-employed frameworks fail to adapt to the new patterns on the cross-layer cloud. To solve this issue, we design a new computer task scheduling framework for multiple IoT services in cross-layer cloud computing systems. Specifically, we first analyze the features of the cross-layer cloud and computer tasks...
May 23, 2018: Sensors
https://www.readbyqxmd.com/read/29789419/detection-of-bladder-cancer-via-microfluidic-immunoassay-and-single-cell-dna-copy-number-alteration-analysis-of-captured-urinary-exfoliated-tumor-cells
#20
Anqi Chen, Guanghou Fu, Zhijie Xu, Yukun Sun, Xiaoyi Chen, Kok Suen Cheng, Kuang Hong Neoh, Zhewen Tang, Shifu Chen, Ming Liu, Tanxiao Huang, Yun Dai, Qibo Wang, Jing Jin, Baiye Jin, Ray P S Han
The increasing incidence of bladder cancer (BC) and its high rate of recurrence over a 5-year period necessitate the need for diagnosis and surveillance amelioration. Cystoscopy and urinary cytology are the current tools, and molecular techniques such as BTA stat, NMP22, survivin mRNA, and urovysion FISH have attracted attention, however, they suf-fer from insufficient sensitivity or specificity. We developed a novel microfluidic approach for harvesting intact urinary-exfoliated tumor cells (UETCs), either individually or in clus-ters, in a clean and segregated environment, which is crucial to minimize cross-contamination and misreads...
May 22, 2018: Cancer Research
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