Alaa Omran Almagrabi^1,*, Rashid Ali², Daniyal Alghazzawi¹, Bander A. Alzahrani¹, Fahad M. Alotaibi¹

Computer Systems Science and Engineering, Vol.47, No.1, pp. 843-853, 2023, DOI:10.32604/csse.2023.037652

Abstract The massive Internet of Things (IoT) comprises different gateways (GW) covering a given region of a massive number of connected devices with sensors. In IoT networks, transmission interference is observed when different sensor devices (SD) try to send information to a single GW. This is mitigated by allotting various channels to adjoining GWs. Furthermore, SDs are permitted to associate with any GW in a network, naturally choosing the one with a higher received signal strength indicator (RSSI), regardless of whether it is the ideal choice for network execution. Finding an appropriate GW to optimize the performance of IoT systems is… More >

MIRKO TRECCANI^*, ELENA LOCATELLI, CRISTINA PATUZZO, GIOVANNI MALERBA^*

BIOCELL, Vol.47, No.6, pp. 1225-1241, 2023, DOI:10.32604/biocell.2023.027884

Abstract The advent of genomic big data and the statistical need for reaching significant results have led genome-wide association studies to be ravenous of a huge number of genetic markers scattered along the whole genome. Since its very beginning, the so-called genotype imputation served this purpose; this statistical and inferential procedure based on a known reference panel opened the theoretical possibility to extend association analyses to a greater number of polymorphic sites which have not been previously assayed by the used technology. In this review, we present a broad overview of the genotype imputation process, showing the most known methods and… More >

Erhabor S. Idemudia¹, Babatola D. Olawa^1,*, Gail E. Wyatt², Norweeta G. Milburn²

International Journal of Mental Health Promotion, Vol.25, No.5, pp. 699-710, 2023, DOI:10.32604/ijmhp.2023.026852

Abstract It is established in the psychological literature that pre-displacement stressors, PTSD symptoms, and psychological distress are associated among internally displaced persons. However, existing studies have not demonstrated the mechanism underlying these associations. This study compared two explanatory models; one with PTSD symptoms severity explaining the indirect association between pre-displacement stressors and psychological distress, and the other with psychological distress explaining the indirect relationship between pre-displacement stressors and PTSD symptoms severity. In a cross-sectional design, 631 women (Mean age = 31.18 ± 8.59) were conveniently and purposely selected from the displaced women harboured in two camps in Borno State, Nigeria, due… More >

Syed Ali Zafar^1,*, Muhammad Aslam², Haroon Zaman Khan³, Sehrish Sarwar¹, Rao Saad Rehman⁴, Mariam Hassan¹, Ramala Masood Ahmad², Rafaqat A. Gill⁵, Basharat Ali⁶, Ibrahim Al-Ashkar⁷, Abdullah Ibrahim⁷, Md Atikur Rahman⁸, Ayman El Sabagh^9,*

Phyton-International Journal of Experimental Botany, Vol.92, No.6, pp. 1887-1906, 2023, DOI:10.32604/phyton.2023.027679

Abstract The availability of favorable genetic diversity is a thriving vitality for the success of a breeding program. It provides a firm basis of selecting superior breeding lines for the development of high yielding crop genotypes. In this context, present investigation aimed to generate information on genetic divergence and character association in a diversity panel of 123 local and exotic soybean genotypes. Analysis of variance revealed significant response of the evaluated genotypes based on studied attributes. It depicted the probability of selecting desirable soybean genotypes by focusing on character association studies and genetic diversity analysis. Correlation analysis revealed that seed yield… More >

Sohaib Manzoor¹, Hira Manzoor², Saddaf Rubab^3,4, Muhammad Attique Khan⁵, Majed Alhaisoni⁶, Abdullah Alqahtani⁷, Ye Jin Kim⁸, Byoungchol Chang^9,*

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 2347-2363, 2023, DOI:10.32604/cmc.2023.034044

Abstract Despite the planned installation and operations of the traditional IEEE 802.11 networks, they still experience degraded performance due to the number of inefficiencies. One of the main reasons is the received signal strength indicator (RSSI) association problem, in which the user remains connected to the access point (AP) unless the RSSI becomes too weak. In this paper, we propose a multi-criterion association (WiMA) scheme based on software defined networking (SDN) in Wi-Fi networks. An association solution based on multi-criterion such as AP load, RSSI, and channel occupancy is proposed to satisfy the quality of service (QoS). SDN having an overall… More >

Jeong Min Yang^1,2, Hyeon Ji Lee¹, Jae Hyun Kim^1,2,3,*

International Journal of Mental Health Promotion, Vol.25, No.4, pp. 579-594, 2023, DOI:10.32604/ijmhp.2022.027498

Abstract Objectives: This study was to longitudinally investigate the association between occupational change trajectories and mental health in the Korean population aged 45 years and older from the Korean Longitudinal Study of Aging (KLoSA). Methods: After excluding missing values, the data of 6,224 participants from the first to eighth waves of the KLoSA were analyzed using t-test, Analysis of variance (ANOVA), Group-based Trajectory Model (GBTM) from 1–5^th KLoSA and Time-Lagged Generalized estimating equation (GEE) model from 5–8^th KLoSA to analyze the association between occupational change trajectories and mental health in the Korean population aged 45 years and older. Results: An analysis… More >

Yuncong Peng^1,2, Xiaolin Qin^1,2,*, Qianlei Wang^1,2, Boyi Fu^1,2, Yongxiang Gu^1,2

Computer Systems Science and Engineering, Vol.46, No.1, pp. 1233-1247, 2023, DOI:10.32604/csse.2023.032633

Abstract At present, deep learning has been well applied in many fields. However, due to the high complexity of hypothesis space, numerous training samples are usually required to ensure the reliability of minimizing experience risk. Therefore, training a classifier with a small number of training examples is a challenging task. From a biological point of view, based on the assumption that rich prior knowledge and analogical association should enable human beings to quickly distinguish novel things from a few or even one example, we proposed a dynamic analogical association algorithm to make the model use only a few labeled samples for… More >

MOMINA SHAHID¹, KANWAL REHMAN², MUHAMMAD SAJID HAMID AKASH^1,*, SHALEEM SUHAIL¹, SUMBAL RASHEED¹, MUHAMMAD IMRAN^3,4, MOHAMMED A. ASSIRI^3,4

BIOCELL, Vol.47, No.3, pp. 473-484, 2023, DOI:10.32604/biocell.2023.025930

Abstract Genetic polymorphism has a vital role in the pathogenesis and development of myocardial infarction (MI). Single nucleotide polymorphism at any one of the amino acid sequences can result in a diseased state. A single gene can exhibit genetic polymorphism at more than one position giving rise to different variants. Genetic polymorphism of angiotensinogen (AGT) M235T, AGT T174M, and angiotensin-1-converting enzyme (ACE) I/D, endothelial nitric oxide synthase (eNOS), and methylenetetrahydrofolate reductase (MTHFR) can be a risk factor for MI. However, it is important to study the prevalence of genetic polymorphisms of these genes among different populations. MI is influenced by genetic… More >

Weiman Kong¹, Jiayi Gu^2,*

International Journal of Mental Health Promotion, Vol.25, No.1, pp. 139-152, 2023, DOI:10.32604/ijmhp.2022.022123

Abstract This study aimed to examine the associations between lifestyle behaviors and depressive symptoms in adolescents. Self-reported data from the 2019 Youth Risk Behavior Survey (YRBS) was analyzed. Depressive symptoms were set as the outcome variable. Movement variables (physical activity, muscle-strengthening exercise, physical education attendance, sports team participation, television watching, video or computer games, and sleep), eating behaviors (fruit intake, vegetable intake, milk intake, and eating breakfast or not), and substance use (alcohol use and cigarette use) were included as explanatory variables. Binary logistic regression was used to explore the associations between lifestyle behaviors and depressive symptoms after adjusting for sex,… More >

Hasanien K. Kuba¹, Mustafa A. Azzawi², Saad M. Darwish^3,*, Oday A. Hassen⁴, Ansam A. Abdulhussein⁵

CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 4119-4133, 2023, DOI:10.32604/cmc.2023.033182

Abstract It is crucial, while using healthcare data, to assess the advantages of data privacy against the possible drawbacks. Data from several sources must be combined for use in many data mining applications. The medical practitioner may use the results of association rule mining performed on this aggregated data to better personalize patient care and implement preventive measures. Historically, numerous heuristics (e.g., greedy search) and metaheuristics-based techniques (e.g., evolutionary algorithm) have been created for the positive association rule in privacy preserving data mining (PPDM). When it comes to connecting seemingly unrelated diseases and drugs, negative association rules may be more informative… More >