Muzi Li^*

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2465-2493, 2023, DOI:10.32604/cmes.2023.026827

Abstract Modular construction as an innovative method aids the construction industry in transforming to off-site construction production with high efficiency and environmental friendliness. Despite the obvious advantages, the uptake of modular construction is not booming as expected. However, previous studies have investigated and summarized the barriers to the adoption of modular construction. In this research, a Large-Scale Group Decision Making (LSGDM)- based analysis is first made of the severity of barriers to modular construction adoption from the perspective of construction stakeholders. In addition, the Technology-Organization-Environment (TOE) framework is utilized to identify the barriers based on three contexts (technology, organization, and environment).… More >

Sagheer Abbas¹, Syed Ali Raza^1,2, M. A. Khan³, Muhammad Adnan Khan^4,*, Atta-ur-Rahman⁵, Kiran Sultan⁶, Amir Mosavi^7,8,9

CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3263-3278, 2023, DOI:10.32604/cmc.2023.032864

Abstract File labeling techniques have a long history in analyzing the anthological trends in computational linguistics. The situation becomes worse in the case of files downloaded into systems from the Internet. Currently, most users either have to change file names manually or leave a meaningless name of the files, which increases the time to search required files and results in redundancy and duplications of user files. Currently, no significant work is done on automated file labeling during the organization of heterogeneous user files. A few attempts have been made in topic modeling. However, one major drawback of current topic modeling approaches… More >

Abhishek Sharma¹, Sushank Chaudhary^2,*, Jyoteesh Malhotra³, Muhammad Saadi⁴, Sattam Al Otaibi⁵, Lunchakorn Wuttisittikulkij²

CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5399-5410, 2022, DOI:10.32604/cmc.2022.031173

Abstract Recent reports from World Health Organization (WHO) show the impact of human negligence as a serious concern for road accidents and casualties worldwide. There are number of reasons which led to this negligence; hence, need of intelligent transportation system (ITS) gains more attention from researchers worldwide. For achieving such autonomy different sensors are involved in autonomous vehicles which can sense road conditions and warn the control system about possible hazards. This work is focused on designing one such sensor system which can detect and range multiple targets under the impact of adverse atmospheric conditions. A high-speed Linear Frequency Modulated Continuous… More >

P. Vigneshwaran^1,*, N. Prasath¹, M. Islabudeen², A. Arun¹, A. K. Sampath²

Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1527-1543, 2023, DOI:10.32604/iasc.2023.028444

Abstract Traffic signs are basic security workplaces making the rounds, which expects a huge part in coordinating busy time gridlock direct, ensuring the prosperity of the road and dealing with the smooth segment of vehicles and individuals by walking, etc. As a segment of the clever transportation structure, the acknowledgment of traffic signs is basic for the driving assistance system, traffic sign upkeep, self-administering driving, and various spaces. There are different assessments turns out achieved for traffic sign acknowledgment in the world. However, most of the works are only for explicit arrangements of traffic signs, for example, beyond what many would… More >

Alexander Lukin^1,*, Oğuz Gülseren²

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.6, pp. 1763-1779, 2022, DOI:10.32604/fdmp.2022.022016

Abstract Carbyne-enriched nanomaterials are of current interest in nanotechnology-related applications. The properties of these nanomaterials greatly depend on their production process. In particular, structural self-organization and auto-synchronization of nanostructures are typical phenomena observed during the growth and heteroatom-doping of carbyne-enriched nanostructured metamaterials by the ion-assisted pulse-plasma deposition method. Accordingly, fine tuning of these processes may be seen as the key step to the predictive designing of carbyne-enriched nano-matrices with improved properties. In particular, we propose an innovative concept, connected with application of the vibrational-acoustic effects and based on universal Cymatics mechanisms. These effects are used to induce vibration-assisted self-organized wave patterns… More >

Lei Ren^1,*, Hao Hua²

Journal of Intelligent Medicine and Healthcare, Vol.1, No.1, pp. 33-42, 2022, DOI:10.32604/jimh.2022.032093

Abstract The theoretical framework, terminology and coding of the International Classification of Functioning, Disability and Health for Children and Youth are useful tools for content analysis of physical activity guidelines for children and adolescents. The guidelines for physical activity for children and adolescents at home and abroad have their own policy background and health-related theoretical basis for healthy development. The formulation and implementation of physical activity guidelines for children and adolescents should be based on the national health policy, propose programs suitable for children and adolescents, and guide the implementation of the guidelines. This paper summarizes the use in patients with… More >

LUIS S. MAYORGA^*

BIOCELL, Vol.46, No.10, pp. 2217-2220, 2022, DOI:10.32604/biocell.2022.020806

Abstract Cells are open systems that exchange energy and molecules with their environment. As any material system, they perform all the complex activities required for homeostasis and reproduction, obeying the thermodynamic laws. This viewpoint will argue that the basic logic governing the energy flux required to preserve cell organization and function is simple: to decrease the activation energy (Ea) of specific processes. Almost none of the possible chemical reactions and energy transformations inside a cell occur at a measurable speed at room or body temperature. Enzymes or other macromolecular structures speed up particular transformations by decreasing the corresponding energetic barriers. However,… More >

Daniel Dodzi Yao Setsoafia¹, Kiran Sreedhar Ram¹, Hooman Mehdizadeh-Rad^1,2, David Ompong^1,2, Vinuthaa Murthy^1,2, Jai Singh^1,2,*

Journal of Renewable Materials, Vol.10, No.10, pp. 2553-2567, 2022, DOI:10.32604/jrm.2022.020967

Abstract DFT and TD-DFT calculations of HOMO and LUMO energies and photovoltaic properties are carried out on four selected pentathiophene donor and one IDIC-4F acceptor molecules using B3LYP and PBE0 functionals for the ground state energy calculations and CAM-B3LYP functional for the excited state calculations. The discrepancy between the calculated and experimental energies is reduced by correlating them with a linear fit. The fitted energies of HOMO and LUMO are used to calculate the V_oc of an OSC based on these donors and acceptor blend and compared with experimental values. Using the Scharber model the calculated PCE of the donor-acceptor molecules… More >

Syed Ali Raza^1,2, Sagheer Abbas¹, Taher M. Ghazal^3,4, Muhammad Adnan Khan^5,6, Munir Ahmad¹, Hussam Al Hamadi^7,*

CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 1927-1942, 2022, DOI:10.32604/cmc.2022.029400

Abstract In the world of big data, it's quite a task to organize different files based on their similarities. Dealing with heterogeneous data and keeping a record of every single file stored in any folder is one of the biggest problems encountered by almost every computer user. Much of file management related tasks will be solved if the files on any operating system are somehow categorized according to their similarities. Then, the browsing process can be performed quickly and easily. This research aims to design a system to automatically organize files based on their similarities in terms of content. The proposed… More >

Fulin Li¹, Chuanyi Wang^1,*, Xiaoguang Yue²

International Journal of Mental Health Promotion, Vol.24, No.2, pp. 169-187, 2022, DOI:10.32604/ijmhp.2022.020034

Abstract Background: Doctoral students have much higher risk of anxiety or depression than general population. Doctoral students worldwide are facing varying degrees of mental health risks. Method: Based on the survey data of 6,812 doctoral students worldwide in Nature in 2019, Probit and Logit models are used to explore the correlation between the fit of doctoral education and training process and the mental health of doctoral students. Results: (1) The training environment fit of doctoral students has a significant positive impact on their mental health. (2) The academic profession fit of doctoral students has a significant positive impact on their mental… More >