Ameni Ellouze¹, Nesrine Kadri², Alaa Alaerjan^3,*, Mohamed Ksantini¹

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 351-372, 2024, DOI:10.32604/cmc.2024.048061

Abstract Recognizing human activity (HAR) from data in a smartphone sensor plays an important role in the field of health to prevent chronic diseases. Daily and weekly physical activities are recorded on the smartphone and tell the user whether he is moving well or not. Typically, smartphones and their associated sensing devices operate in distributed and unstable environments. Therefore, collecting their data and extracting useful information is a significant challenge. In this context, the aim of this paper is twofold: The first is to analyze human behavior based on the recognition of physical activities. Using the results of physical activity detection… More >

Semi Park, Kyungho Lee^*

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 813-826, 2023, DOI:10.32604/cmc.2023.035313

Abstract According to BBC News, online hate speech increased by 20% during the COVID-19 pandemic. Hate speech from anonymous users can result in psychological harm, including depression and trauma, and can even lead to suicide. Malicious online comments are increasingly becoming a social and cultural problem. It is therefore critical to detect such comments at the national level and detect malicious users at the corporate level. To achieve a healthy and safe Internet environment, studies should focus on institutional and technical topics. The detection of toxic comments can create a safe online environment. In this study, to detect malicious comments, we… More >

Saeed Ali Alsareii¹, Mohsin Raza², Abdulrahman Manaa Alamri¹, Mansour Yousef AlAsmari¹, Muhammad Irfan³, Hasan Raza⁴, Muhammad Awais^2,*

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3833-3848, 2023, DOI:10.32604/cmc.2023.035686

Abstract Obesity poses several challenges to healthcare and the well-being of individuals. It can be linked to several life-threatening diseases. Surgery is a viable option in some instances to reduce obesity-related risks and enable weight loss. State-of-the-art technologies have the potential for long-term benefits in post-surgery living. In this work, an Internet of Things (IoT) framework is proposed to effectively communicate the daily living data and exercise routine of surgery patients and patients with excessive weight. The proposed IoT framework aims to enable seamless communications from wearable sensors and body networks to the cloud to create an accurate profile of the… More >

Jianming Lu^1,*, Liangliang Xiang², Huw Wiltshire³

Molecular & Cellular Biomechanics, Vol.18, No.3, pp. 123-129, 2021, DOI:10.32604/mcb.2021.015993

Abstract Surface topography is a no-invasive, radiation-free method that can measure sufficient surface spine parameters by the structured back surface scan and a precise anatomical landmarks recognition. The purpose of the present study was to measure the spine shape parameter changes within the day via the DIERS Formetric 4D analysis system. Ten male healthy volunteers were recruited to participate in the experiment. All participants were sedentary people with the average sitting time during study or work t ≥ 8 h and without any back disease in the past six months. Data were analyzed by one-way ANOVA, which set time points within… More >

Anshu Parashar^*, Nidhi Kalra, Jaskirat Singh, Raman Kumar Goyal

Intelligent Automation & Soft Computing, Vol.28, No.3, pp. 669-682, 2021, DOI:10.32604/iasc.2021.017478

Abstract Electrophysiological (EEG) signals provide good temporal resolution and can be effectively used to assess and diagnose children with Attention Deficit Hyperactivity Disorder (ADHD). This study aims to develop a machine learning model to classify children with ADHD and Healthy Controls. In this study, EEG signals captured under cognitive tasks were obtained from an open-access database of 60 children with ADHD and 60 Healthy Controls children of similar age. The regional contributions towards attaining higher accuracy are identified and further tested using three classifiers: AdaBoost, Random Forest and Support Vector Machine. The EEG data from 19 channels is taken as input… More >

Shada A. Alsalamah^1,2,3,*, Hessah A. Alsalamah^1,4, Thamer Nouh⁵, Sara A. Alsalamah⁶

CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2431-2449, 2021, DOI:10.32604/cmc.2021.016618

Abstract An emerging healthcare delivery model is enabling a new era of clinical care based on well-informed decision-making processes. Current healthcare information systems (HISs) fall short of adopting this model due to a conflict between information security needed to implement the new model and those already enforced locally to support traditional care models. Meanwhile, in recent times, the healthcare sector has shown a substantial interest in the potential of using blockchain technology for providing quality care to patients. No blockchain solution proposed so far has fully addressed emerging cross-organization information-sharing needs in healthcare. In this paper, we aim to study the… More >

SERGIO GASTÓN CASPE¹, JOSÉ LUIS KONRAD², DADIN PRANDO MOORE³, JUAN MANUEL SALA¹, LILIAN LISCHINSKY³, CARLOS MANUEL CAMPERO³, CLAUDIO GUSTAVO BARBEITO^4,*

BIOCELL, Vol.45, No.2, pp. 331-337, 2021, DOI:10.32604/biocell.2021.010701

Abstract Water buffalo (Bubalus bubalis) and domestic cattle (Bos taurus) are closely related species. However, embryo transfer interspecies has been attempted without any success. The failure in hybrid embryo-implantation is associated with the glycocode in the maternal-fetal interface. Glycosylation patterns have been studied in different species of ruminants; however, in B. bubalis, only the binucleated cells (BNC) have been analyzed. This glycocode is essential for a successful embryo-implantation and can be defined by Lectin-Histochemistry (LHC). The aim of this study is to compare the glycosylation pattern of placenta and uterus in water buffaloes and cattle by LHC. Tissue samples of placenta… More >

Dana Y. Fuhrman^1,2, Lan Nguyen³, Morgan Hindes³, John A. Kellum²

Congenital Heart Disease, Vol.14, No.6, pp. 963-967, 2019, DOI:10.1111/chd.12862

Abstract Background: There are significant implications for kidney disease in young adults with congenital heart disease. Prior investigations have not focused on the use of urinary tubular biomarkers for the early identification of kidney disease in this growing patient group.
Objective: Determine if young adults with congenital heart disease have differences in the baseline concentration of urinary tubular biomarkers when compared to healthy young adults.
Design/Methods: In a pilot case control study, 30 patients from 18 to 35 years of age with congenital heart disease and a normal serum creatinine were recruited during a routine follow-up visit. In the same age… More >

Sebastian Udholm, Christian Rex, Filip Eckerström, Mine Onat, Camilla Nyboe, Vibeke E. Hjortdal

Congenital Heart Disease, Vol.14, No.3, pp. 372-379, 2019, DOI:10.1111/chd.12740

Abstract Objective: Adult patients with small, unrepaired atrial septal defects have an in‐ creased risk of pneumonia, atrial fibrillation, and stroke. Furthermore, they have higher late mortality than the background population. The functional capacity is un‐ known in these patients. Therefore, our objective was to determine exercise capacity in adult patients diagnosed with an unrepaired atrial septal defect compared to healthy controls. Design: A cross‐sectional study. Patients: Adult patients with small, unrepaired atrial septal defects, aged 18‐65, di‐ agnosed between 1953 and 2011. Interventions: Cardiopulmonary exercise test was performed using an incremental bicycle test and gas exchange was measured using breath‐by‐breath… More >

Hoi Lam She^*, Arno A.W. Roest^†, Emmeline E. Calkoen^†, Pieter J. van den Boogaard^‡, Rob J. van der Geest^‡, Mark G. Hazekamp^§, Albert de Roos^‡, Jos J.M. Westenberg^‡

Congenital Heart Disease, Vol.12, No.1, pp. 40-48, 2017

Abstract Purpose. To evaluate the inflow pattern and flow quantification in patients with functional univentricular heart after Fontan’s operation using 4D flow magnetic resonance imaging (MRI) with streamline visualization when compared with the conventional 2D flow approach.
Method. Seven patients with functional univentricular heart after Fontan’s operation and twenty-three healthy controls underwent 4D flow MRI. In two orthogonal two-chamber planes, streamline visualization was applied, and inflow angles with peak inflow velocity (PIV) were measured. Transatrioventricular flow quantification was assessed using conventional 2D multiplanar reformation (MPR) and 4D MPR tracking the annulus and perpendicular to the streamline inflow at PIV, and they… More >