Qijie Jiang¹, Chi Zhang^2,*, Xiaoli Duan³, Siyi Pei⁴

International Journal of Mental Health Promotion, Vol.24, No.3, pp. 415-423, 2022, DOI:10.32604/ijmhp.2022.017787 - 17 March 2022

Abstract Background: Left-behind children are more inclined to generate psychological problems relative to non-left-behind children, thus how to rehabilitate their health psychology and promote the psychological health development of this special disadvantaged group in healthcare settings should be paid more attention to. Objective: This paper attempts to present a social intervention approach and explore its impact on the rehabilitation of rural left-behind children’s psychological problems in healthcare settings. Methods: This study firstly designed a social intervention program based on the health psychology theory and the generation causes of left-behind children’s psychological problems, and then three groups were applied… More >

Faruk Kurhan^1,*, Gülsüm Zuhal Kamış², Emine Füsun Akyüz Çim³, Abdullah Atli⁴, Dilem Dinc⁵

International Journal of Mental Health Promotion, Vol.24, No.3, pp. 399-413, 2022, DOI:10.32604/ijmhp.2022.019013 - 17 March 2022

Abstract The present study investigated the effect of the COVID-19 pandemic on anxiety levels, contamination and responsibility/control obsessions and associated OC behaviors in healthcare versus non-healthcare professionals. The study also aimed to examine the relationship between anxiety levels and obsessive-compulsive (OC) symptom levels, gender, age, educational level, and personal and family history of chronic diseases. The 664 participants included 395 (59.5%) men and 269 (40.5%) women and comprised 180 (27.1%) healthcare professionals and 484 (72.9%) non-healthcare professionals. The survey included three data collection tools: (i) Sociodemographic data form, (ii) Beck Anxiety Inventory (BAI), and (iii) the… More >

Mouazma Batool¹, Yazeed Yasin Ghadi², Suliman A. Alsuhibany³, Tamara al Shloul⁴, Ahmad Jalal¹, Jeongmin Park^5,*

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1747-1764, 2022, DOI:10.32604/cmc.2022.025112 - 24 February 2022

Abstract Nowadays, activities of daily living (ADL) recognition system has been considered an important field of computer vision. Wearable and optical sensors are widely used to assess the daily living activities in healthy people and people with certain disorders. Although conventional ADL utilizes RGB optical sensors but an RGB-D camera with features of identifying depth (distance information) and visual cues has greatly enhanced the performance of activity recognition. In this paper, an RGB-D-based ADL recognition system has been presented. Initially, human silhouette has been extracted from the noisy background of RGB and depth images to track More >

G. Ravikumar¹, K. Venkatachalam², Mehedi Masud³, Mohamed Abouhawwash^4,5,*

Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 865-877, 2022, DOI:10.32604/iasc.2022.024278 - 08 February 2022

Abstract Recently internet of medical things (IoMT) act as a smart doctor using sensor wearable’s device in human body. This smart doctor device senses necessary medical data from human and transfer via network immediately to physician. It is important to transfer sensitive data very securely. Blockchain becomes trending technology to provide high security to both end users in the network. Traditionally security structure is relying on cryptographic techniques which is very expensive and takes more time in securely transmitting data. To overcome this issue, this paper builds a cost effective, blockchain with IoMT using fog-cloud computing.… More >

S. Rajasekaran^1,*, G. Kousalya²

Computer Systems Science and Engineering, Vol.42, No.3, pp. 985-1000, 2022, DOI:10.32604/csse.2022.022234 - 08 February 2022

Abstract The demand for better health services has resulted in the advancement of remote monitoring health, i.e., virtual nursing systems, to watch and support the elderly with innovative concepts such as being patient-centric, easier to use, and having smarter interactions and more accurate conclusions. While virtual nursing services attempt to provide consumers and medical practitioners with continuous medical and health monitoring services, access to allied healthcare experts such as nurses remains a challenge. In this research, we present Virtual Nursing Using Deep Belief Networks for Elderly People (DBN-EP), a new framework that provides a virtual nurse… More >

Hosam Alhakami¹, Abdullah Baz², Wajdi Alhakami³, Abhishek Kumar Pandey⁴, Alka Agrawal⁴, Raees Ahmad Khan^4,*

Computer Systems Science and Engineering, Vol.42, No.3, pp. 1015-1030, 2022, DOI:10.32604/csse.2022.021564 - 08 February 2022

Abstract Transformation from conventional business management systems to smart digital systems is a recurrent trend in the current era. This has led to digital revolution, and in this context, the hardwired technologies in the software industry play a significant role However, from the beginning, software security remains a serious issue for all levels of stakeholders. Software vulnerabilities lead to intrusions that cause data breaches and result in disclosure of sensitive data, compromising the organizations’ reputation that translates into, financial losses and compromising software usability as well. Most of the data breaches are financially motivated, especially in… More >

Chien-Ming Chen^1,*, Shuangshuang Liu¹, Shehzad Ashraf Chaudhry², Yeh-Cheng Chen³, Muhammad Asghar khan⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 307-329, 2022, DOI:10.32604/cmes.2022.018749 - 24 January 2022

Abstract With the rise of the Internet of Things (IoT), the word “intelligent medical care” has increasingly become a major vision. Intelligent medicine adopts the most advanced IoT technology to realize the interaction between patients and people, medical institutions, and medical equipment. However, with the openness of network transmission, the security and privacy of information transmission have become a major problem. Recently, Masud et al. proposed a lightweight anonymous user authentication protocol for IoT medical treatment, claiming that their method can resist various attacks. However, through analysis of the protocol, we observed that their protocol cannot More >

Ben Li¹, Na Li^1,*, Chulei Fang¹, Jun Hu^2,*, Rong Yu³, Longxin Shu¹, Kai Yao³, Fang Zhang¹

Journal of Renewable Materials, Vol.10, No.6, pp. 1693-1710, 2022, DOI:10.32604/jrm.2022.018475 - 20 January 2022

Abstract In order to study the mechanical properties and micro-mechanism of industrial waste fly ash-reinforced cement calcareous sand (FCS), the triaxial unconsolidated undrained (UU) test and scanning electron microscope tests (SEM) were carried out on it. The results of UU test show that the peak stress and energy dissipation of the FCS sample first increase and then decrease with the increase in fly ash content. Fly ash enhances the cement calcareous sand by increasing both the cohesion and internal friction angle, and adding 10% content of fly ash gives the largest values. The SEM test results… More >

Harrison Schurr, Andrei Tuluca^*, Beth Bailey

International Journal of Mental Health Promotion, Vol.24, No.2, pp. 159-167, 2022, DOI:10.32604/ijmhp.2022.017990 - 18 January 2022

Abstract Suicide is a top ten cause of mortality in the United States. In previous literature the suicide rates in rural communities have been reported to be greater than those of more urban communities. Additionally, these studies have discussed many potential causes for the unfortunate disparity in rates. One cause often discussed is lack of mental health care providers in rural communities. The data for this study was gathered from the CDC’s WONDER database and the NPPES NPI Registry. The urban-rural categorization of counties used the 2013 NCHS Urban-Rural Scheme. Statistical analysis included chi-square tests, paired t-tests, More >

Ahmed S. Almasoud¹, Siwar Ben Haj Hassine², Fahd N. Al-Wesabi^2,3, Mohamed K. Nour⁴, Anwer Mustafa Hilal⁵, Mesfer Al Duhayyim⁶, Manar Ahmed Hamza^5,*, Abdelwahed Motwakel⁵

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5799-5815, 2022, DOI:10.32604/cmc.2022.024556 - 14 January 2022

Abstract Due to the advanced developments of the Internet and information technologies, a massive quantity of electronic data in the biomedical sector has been exponentially increased. To handle the huge amount of biomedical data, automated multi-document biomedical text summarization becomes an effective and robust approach of accessing the increased amount of technical and medical literature in the biomedical sector through the summarization of multiple source documents by retaining the significantly informative data. So, multi-document biomedical text summarization acts as a vital role to alleviate the issue of accessing precise and updated information. This paper presents a… More >