Mohd Nizam Mat Bah¹, Mohd Hanafi Sapian¹, Mohammad Tamim Jamil¹, Nisah Abdullah¹, Emieliyuza Yusnita Alias¹, Norazah Zahari²

Congenital Heart Disease, Vol.13, No.6, pp. 1012-1027, 2018, DOI:10.1111/chd.12672

Abstract Objectives: There is limited data on congenital heart disease (CHD) from the lower‐ and middle‐income country. We aim to study the epidemiology of CHD with the specific objective to estimate the birth prevalence, severity, and its trend over time.
Design: A population‐based study with data retrieved from the Pediatric Cardiology Clinical Information System, a clinical registry of acquired and congenital heart dis‐ ease for children.
Setting: State of Johor, Malaysia.
Patients: All children (0‐12 years of age) born in the state of Johor between January 2006 and December 2015.
Intervention: None.
Outcome measure: The birth prevalence, severity, and temporal trend over time.
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Matthew W. Buelow^1,2, Nancy Rudd¹, Jena Tanem¹, Pippa Simpson³, Peter Bartz^1,2, Garick Hill⁴

Congenital Heart Disease, Vol.13, No.6, pp. 919-926, 2018, DOI:10.1111/chd.12655

Abstract Background: Single ventricle heart disease with aortic arch hypoplasia has high mor‐ bidity and mortality, with the greatest risk after stage 1 palliation. Residual lesions often require catheter‐based or surgical reintervention to minimize risk. We sought to describe the types, frequency, and risk factors for re‐intervention between stage 1 and stage 2 palliation, utilizing the National Pediatric Cardiology Quality Improvement Collaborative (NPC‐QIC) registry.
Methods: The NPC‐QIC registry, consisting of patients discharged after stage 1 pal‐ liation, was queried. Hybrid stage 1 palliation patients were excluded from this study. The primary risk factor was shunt type and the… More >

Katharina Niedermayr¹, Gerhard Pölzl², Sabine Scholl‐Bürgi¹, Christine Fauth³, Ulrich Schweigmann¹, Edda Haberlandt¹, Ursula Albrecht¹, Manuela Zlamy¹, Wolfgang Sperl⁴, Johannes A. Mayr⁴, Daniela Karall¹

Congenital Heart Disease, Vol.13, No.5, pp. 671-677, 2018, DOI:10.1111/chd.12634

Abstract Objective: In general, a mitochondrial disorder is diagnosed on the basis of symptom combinations and confirmed by genetic findings. However, patients carrying the m.3243A>G mutation in the mitochondrial tRNA leucine 1 (MT‐TL1) do not always meet all the proposed criteria for the most frequently encountered mitochondrial syndrome “MELAS,” an acronym for Mitochondrial Encephalomyopathy, Lactic Acidosis, and at least one Stroke‐like episode. We here present various phenotypic characteristics of the mitochondrial mutation m.3243A>G with particular focus on cardiac manifestations.
Methods and Results: We followed nine patients (1 month to 68 years old; median 42 years; four female and five male) from… More >

Ashley E. Neal¹, Elizabeth Lehto¹, Karen Hughes Miller², Erin Davis³, Craig Ziegler²

Congenital Heart Disease, Vol.13, No.5, pp. 788-793, 2018, DOI:10.1111/chd.12626

Abstract Objective: The 2016 American Board of Pediatrics (ABP) content outline is comprehensive, including more than 50 cardiology-specific objectives within eight content areas. This study complements the quantitative analysis of a Kentucky-wide survey of trainees, pediatricians, and pediatric cardiologists asking them to identify “most important” cardiology content by analyzing their open-ended comments about “what should be added” and “why?” within these eight categories.
Design, Methods, Outcome Measures: This cross-sectional study used an original, online survey instrument based on the 2016 ABP cardiology-specific objectives. We began an initial analysis of the qualitative data using Pandit’s version of Glaser and… More >

Ranu Gupta^1,3,*, Rahul Pachauri^2,3, Ashutosh Kumar Singh^1,4

Molecular & Cellular Biomechanics, Vol.15, No.2, pp. 63-83, 2018, DOI:10.3970/mcb.2018.00114

Abstract Various chaos-based image encryption schemes have been proposed in last few years. The proposed image encryption method uses chaotic map. The encryption is done by using 256 bit long external secret key. The initial condition for the chaotic mapping is evaluated by the use of external secret key along with the mapping function. Besides that, the proposed method is made more robust by applying multiple operations to the pixels of the image depending on the outcome of the calculation of the logistic map. Moreover, block shuffling of the image and modifying the secret key after More >

Jixian Zhang¹, Ning Xie¹, Xuejie Zhang¹, Kun Yue¹, Weidong Li^2,*, Deepesh Kumar³

CMC-Computers, Materials & Continua, Vol.56, No.1, pp. 123-135, 2018, DOI:10.3970/cmc.2018.03728

Abstract Resource allocation in auctions is a challenging problem for cloud computing. However, the resource allocation problem is NP-hard and cannot be solved in polynomial time. The existing studies mainly use approximate algorithms such as PTAS or heuristic algorithms to determine a feasible solution; however, these algorithms have the disadvantages of low computational efficiency or low allocate accuracy. In this paper, we use the classification of machine learning to model and analyze the multi-dimensional cloud resource allocation problem and propose two resource allocation prediction algorithms based on linear and logistic regressions. By learning a small-scale training More >

M. Rajalakshmi^*

CMES-Computer Modeling in Engineering & Sciences, Vol.114, No.2, pp. 209-220, 2018, DOI:10.3970/cmes.2018.114.209

Abstract Amongst several biometric traits, Vein pattern biometric has drawn much attention among researchers and diverse users. It gains its importance due to its difficulty in reproduction and inherent security advantages. Many research papers have dealt with the topic of new generation biometric solutions such as iris and vein biometrics. However, most implementations have been based on small datasets due to the difficulties in obtaining samples. In this paper, a deeper study has been conducted on previously suggested methods based on Convolutional Neural Networks (CNN) using a larger dataset. Also, modifications are suggested for implementation using More >

Jixin Liu^1,*, Ning Sun^1,2, Xiaofei Li¹, Guang Han¹, Haigen Yang¹, Quansen Sun³

CMC-Computers, Materials & Continua, Vol.55, No.3, pp. 435-446, 2018, DOI:10.3970/cmc.2018.02177

Abstract Rare bird has long been considered an important in the field of airport security, biological conservation, environmental monitoring, and so on. With the development and popularization of IOT-based video surveillance, all day and weather unattended bird monitoring becomes possible. However, the current mainstream bird recognition methods are mostly based on deep learning. These will be appropriate for big data applications, but the training sample size for rare bird is usually very short. Therefore, this paper presents a new sparse recognition model via improved part detection and our previous dictionary learning. There are two achievements in More >

Antonello Di Paolo¹, Paola Orlandi¹, Teresa Di Desidero, Romano Danesi, Guido Bocci

Oncology Research, Vol.25, No.7, pp. 1129-1140, 2017, DOI:10.3727/096504017X14841698396900

Abstract The combination of folinate salts to 5-fluoruracil (5-FU)-based schedules is an established clinical routine in the landscape of colorectal cancer treatment. The aim of this study was to investigate the pharmacological differences between the sequential administration of folinate salts (1 h before, as in clinical routine) followed by 5-FU and the simultaneous administration of both drugs. Proliferation and apoptotic assays were performed on human colon cancer cells exposed to 5-FU, calcium (CaLV), or disodium (NaLV) levofolinate or their simultaneous and sequential combination for 24 and 72 h. TYMS and SLC19A1 gene expression was performed with… More >

Andrew D. Spearman

Congenital Heart Disease, Vol.12, No.6, pp. 828-833, 2017, DOI:10.1111/chd.12543

Abstract A genetic basis of congenital heart disease (CHD) has been known for decades. In addition to the sequence of the genome, the contribution of epigenetics to pediatric cardiology is increasingly recognized. Multiple epigenetic mechanisms, including DNA methylation, histone modification, and RNA-based regulation, are known mediators of cardiovascular disease, including both development and progression of CHD and its sequelae. Basic understanding of the concepts of epigenetics will be essential to all pediatric cardiologists in order to understand mechanisms of pathophysiology, pharmacotherapeutic concepts, and to understand the role of epigenetics in precision medicine. More >