Yujia Leng^1,#, Shuilian Wang^1,2,3,#, Ruoan Wang^2,#, Tao Tao¹, Shuwen Jia^1,2, Tao Song^2,3, Lina Xu^1,2, Xiuling Cai^1,2, Sukui Jin^1,2,*, Jiping Gao^1,2,4,*

Phyton-International Journal of Experimental Botany, Vol.91, No.5, pp. 943-958, 2022, DOI:10.32604/phyton.2022.018707 - 24 January 2022

Abstract Grain size traits are critical agronomic traits which directly determine grain yield, but the genetic bases of these traits are still not well understood. In this study, a total of 154 chromosome segment substitution lines (CSSLs) population derived from a cross between a japonica variety Koshihikari and an indica variety Nona Bokra was used to investigate grain length (GL), grain width (GW), length-width ratio (LWR), grain perimeter (GP), grain area (GA), and thousand grain weight (TGW) under four environments. QTL mapping analysis of six grain size traits was performed by QTL IciMapping 4.2 with an inclusive… 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 - 18 January 2022

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… More >

Ahmad Y. Alqassim^*, Mohamed S. Mahfouz, Mohammed M. Hakami, Abdullah A. Al Faqih, Ahmad A. Shugairi, Malek R. Alsanosy, Ahmed Y. Rayyani, AbdulAziz Y. Albrraq, Mohammed A. Muaddi, Abdullah A. Alharbi

International Journal of Mental Health Promotion, Vol.24, No.2, pp. 251-262, 2022, DOI:10.32604/ijmhp.2022.019000 - 18 January 2022

Abstract Background: Adolescence is a critical, multifactorial developmental phase. With the current pandemic of COVID-19, excessive using of electronic devices is a public health concern. The aim of this study is to investigate the relationship between depression and the use of electronic devices among secondary school children in Jazan, Saudi Arabia during the COVID-19 pandemic. Materials and Methods: The study is an observational, cross-sectional study. Data was collected using an anonymous online survey instrument. including the Depression Anxiety Stress Scale. Results: A total of 427 participants were included in the study. The prevalence of depression, anxiety, and stress… More >

Anshul Sharma¹, Divneet Singh Kapoor¹, Anand Nayyar^2,3,*, Basit Qureshi⁴, Kiran Jot Singh¹, Khushal Thakur¹

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 6239-6256, 2022, DOI:10.32604/cmc.2022.024639 - 14 January 2022

Abstract The simultaneous advances in the Internet of Things (IoT), Artificial intelligence (AI) and Robotics is going to revolutionize our world in the near future. In recent years, LoRa (Long Range) wireless powered by LoRaWAN (LoRa Wide Area Network) protocol has attracted the attention of researchers for numerous applications in the IoT domain. LoRa is a low power, unlicensed Industrial, Scientific, and Medical (ISM) band-equipped wireless technology that utilizes a wide area network protocol, i.e., LoRaWAN, to incorporate itself into the network infrastructure. In this paper, we have evaluated the LoRaWAN communication protocol for the implementation of… More >

Hyeji Roh, Sheungmin Oh, Hajun Song, Jinseo Han, Sangsoon Lim^*

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5717-5732, 2022, DOI:10.32604/cmc.2022.024135 - 14 January 2022

Abstract With the development of the Internet of Things (IoT), diverse wireless devices are increasing rapidly. Those devices have different wireless interfaces that generate incompatible wireless signals. Each signal has its own physical characteristics with signal modulation and demodulation scheme. When there exist different wireless devices, they can suffer from severe Cross-Technology Interferences (CTI). To reduce the communication overhead due to the CTI in the real IoT environment, a central coordinator can be able to detect and identify wireless signals existing in the same communication areas. This paper investigates how to classify various radio signals using… More >

Shahid Mehmood¹, Imran Ahmad¹, Muhammad Adnan Khan^1,2, Faheem Khan³, T. Whangbo^3,*

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5603-5618, 2022, DOI:10.32604/cmc.2022.023785 - 14 January 2022

Abstract Education sector has witnessed several changes in the recent past. These changes have forced private universities into fierce competition with each other to get more students enrolled. This competition has resulted in the adoption of marketing practices by private universities similar to commercial brands. To get competitive gain, universities must observe and examine the students’ feedback on their own social media sites along with the social media sites of their competitors. This study presents a novel framework which integrates numerous analytical approaches including statistical analysis, sentiment analysis, and text mining to accomplish a competitive analysis… More >

Anwer Mustafa Hilal¹, Fahd N. Al-Wesabi^2,3, Mohamed Tahar Ben Othman⁴, Khaled Mohamad Almustafa⁵, Nadhem Nemri⁶, Mesfer Al Duhayyim⁷, Manar Ahmed Hamza^1,*, Abu Sarwar Zamani¹

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5979-5994, 2022, DOI:10.32604/cmc.2022.022686 - 14 January 2022

Abstract Presently, cognitive Internet of Things (CIoT) with cloud computing (CC) enabled intelligent healthcare models are developed, which enables communication with intelligent devices, sensor modules, and other stakeholders in the healthcare sector to avail effective decision making. On the other hand, Alzheimer disease (AD) is an advanced and degenerative illness which injures the brain cells, and its earlier detection is necessary for suitable interference by healthcare professional. In this aspect, this paper presents a new Oriented Features from Accelerated Segment Test (FAST) with Rotated Binary Robust Independent Elementary Features (BRIEF) Detector (ORB) with optimal artificial neural network… More >

Salaheddine Kably^1,2,*, Mounir Arioua¹, Nabih Alaoui²

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5271-5291, 2022, DOI:10.32604/cmc.2022.020833 - 14 January 2022

Abstract Blockchain technology is regarded as the emergent security solution for many applications related to the Internet of Things (IoT). In concept, blockchain has a linear structure that grows with the number of transactions entered. This growth in size is the main obstacle to the blockchain, which makes it unsuitable for resource-constrained IoT environments. Moreover, conventional consensus algorithms such as PoW, PoS are very computationally heavy. This paper solves these problems by introducing a new lightweight blockchain structure and lightweight consensus algorithm. The Multi-Zone Direct Acyclic Graph (DAG) Blockchain (Multizone-DAG-Blockchain) framework is proposed for the fog-based IoT… More >

S. G. Siddharth^1,*, G. M. Tamilselvan², C. Venkatesh³

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5219-5234, 2022, DOI:10.32604/cmc.2022.019252 - 14 January 2022

Abstract In underground operation, primary consideration is safety. In recent decades, for minimizing accident and for preventing major economic losses and casualties, wireless sensors are used by various large mineral countries through early warning. The Improved DV-Hop Localization Algorithm (IDVHLA) is used in existing works for doing this. However, accurate anchor node detection is impossible in existing works with the malicious nodes presence, where there won't be any accurate sharing of anchor node's location information. In case of emergency situation, faster communication is a highly complex one. A technique called Modified Distance Vector Hop based Multipath… More >

LU YANG^1,#, YUN LIU^1,#, BOKE ZHANG², MENGSI YU³, FEN HUANG¹, YANG WEN¹, JIANGZHENG ZENG¹, YANDA LU¹, CHANGCHENG YANG¹

BIOCELL, Vol.46, No.5, pp. 1215-1243, 2022, DOI:10.32604/biocell.2022.018221 - 06 January 2022

Abstract The aim of this study was to reveal genes associated with breast cancer metastasis, to investigate their intrinsic relationship with immune cell infiltration in the tumor microenvironment, and to screen for prognostic biomarkers. Gene expression data of breast cancer patients and their metastases were downloaded from the GEO, TCGA database. R language package was used to screen for differentially expressed genes, enrichment analysis of genes, PPI network construction, and also to elucidate key genes for diagnostic and prognostic survival. Spearman’s r correlation was used to analyze the correlation between key genes and infiltrating immune cells.… More >