Ming Dong^#, Yan Wang^#, Shulin Wang, Guoyi Feng, Qian Zhang, Yongzeng Lin, Qinglong Liang, Yongqiang Wang^*, Hong Qi^*

Phyton-International Journal of Experimental Botany, Vol.92, No.10, pp. 2841-2860, 2023, DOI:10.32604/phyton.2023.030465

Abstract Restructuring tilth layers (RTL) is a tillage method that exchanges the 0–20 and 20–40 cm soil layers that can be applied during cotton cultivation to increase cotton yield, eliminate weeds and alleviate severe disease, including Verticillium wilt. However, the mechanism by which RTL inhibits Verticillium wilt is unclear. Therefore, we investigated the distribution of microbial communities after rotary tillage (CK) and RTL treatments to identify the reasons for the reduction of Verticillium wilt in cotton fields subjected to RTL. Illumina high-throughput sequencing was used to sequence the bacterial and fungal genes. The disease incidence and severity of Verticillium wilt decreased… More >

Abdulghani M. Abdulghani, Mokhles M. Abdulghani, Wilbur L. Walters, Khalid H. Abed^*

Journal on Artificial Intelligence, Vol.5, pp. 1-14, 2023, DOI:10.32604/jai.2023.039786

Abstract Autonomous agents can explore the environment around them when equipped with advanced hardware and software systems that help intelligent agents minimize collisions. These systems are developed under the term Artificial Intelligence (AI) safety. AI safety is essential to provide reliable service to consumers in various fields such as military, education, healthcare, and automotive. This paper presents the design of an AI safety algorithm for safe autonomous navigation using Reinforcement Learning (RL). Machine Learning Agents Toolkit (ML-Agents) was used to train the agent with a proximal policy optimizer algorithm with an intrinsic curiosity module (PPO + ICM). This training aims to improve AI… More >

XUEFENG WANG^1,#, SICONG JIANG^2,#, XINHONG ZHOU³, XIAOFENG WANG⁴, LAN LI⁵, JIANJUN TANG^1,*

Oncology Research, Vol.31, No.5, pp. 697-714, 2023, DOI:10.32604/or.2023.029458

Abstract Background: Pancreatic cancer is associated with high mortality and is one of the most aggressive of malignancies, but studies have not fully evaluated its molecular subtypes, prognosis and response to immunotherapy of different subtypes. The purpose of this study was to explore the molecular subtypes and the key genes associated with the prognosis of pancreas cancer patients and study the clinical phenotype, prognosis and response to immunotherapy using single-cell seq data and bulk RNA seq data, and data retrieved from GEO and TCGA databases. Methods: Single-cell seq data and bioinformatics methods were used in this study. Pancreatic cancer data were… More >

Silvia Carbone^*

International Journal of Mental Health Promotion, Vol.25, No.8, pp. 927-935, 2023, DOI:10.32604/ijmhp.2023.027784

Abstract Madness has attracted and frightened for centuries, and talking about this means discussing how this diversity was built and managed in different social contexts and historical periods. Not all societies have had, and still have, the same relationship with madness. It is only with the affirmation of the Modern State, and of Capitalism, that the idea of “normality” indispensable to be able to conceive diversity as something dangerously distant and different from the norm takes over. In our post-modern society, people with mental illness in Italy can resort to specialists and social-health services. But the heterogeneous answers given after the… More > Graphic Abstract

Christopher C. Rosser, Wilbur L. Walters, Abdulghani M. Abdulghani, Mokhles M. Abdulghani, Khalid H. Abed^*

Journal on Artificial Intelligence, Vol.4, No.4, pp. 261-277, 2022, DOI:10.32604/jai.2022.039703

Abstract Intrinsic motivation helps autonomous exploring agents traverse a larger portion of their environments. However, simulations of different learning environments in previous research show that after millions of timesteps of successful training, an intrinsically motivated agent may learn to act in ways unintended by the designer. This potential for unintended actions of autonomous exploring agents poses threats to the environment and humans if operated in the real world. We investigated this topic by using Unity’s Machine Learning Agent Toolkit (ML-Agents) implementation of the Proximal Policy Optimization (PPO) algorithm with the Intrinsic Curiosity Module (ICM) to train autonomous exploring agents in three… More >

Yali Qiang^*

International Journal of Mental Health Promotion, Vol.25, No.5, pp. 627-637, 2023, DOI:10.32604/ijmhp.2023.025746

Abstract Speech disorders are a common type of childhood disease. Through experimental intervention, this study aims to improve the vocabulary comprehension levels and language ability of children with speech disorders through the language cognition and emotional speech community method. We also conduct a statistical analysis of the interventional effect. Among children with speech disorders in Dongguan City, 224 were selected and grouped according to their receptive language ability and IQ. The 112 children in the experimental group (EG) received speech therapy with language cognitive and emotional speech community, while the 112 children in the control group (CG) only received conventional treatment.… More >

WEI BAO^1,#, QIANGUANG HAN^2,#, XIAO GUAN³, ZIJIE WANG², MIN GU^1,2,*

Oncology Research, Vol.31, No.2, pp. 181-192, 2023, DOI:10.32604/or.2023.028051

Abstract Background: Clear-cell renal cell carcinoma (ccRCC) is the most common malignant kidney cancer. However, the tumor microenvironment and crosstalk involved in metabolic reprogramming in ccRCC are not well-understood. Methods: We used The Cancer Genome Atlas to obtain ccRCC transcriptome data and clinical information. The E-MTAB-1980 cohort was used for external validation. The GENECARDS database contains the first 100 solute carrier (SLC)-related genes. The predictive value of SLC-related genes for ccRCC prognosis and treatment was assessed using univariate Cox regression analysis. An SLC-related predictive signature was developed through Lasso regression analysis and used to determine the risk profiles of patients with… More >

Dongming Chen, Mingshuo Nie, Jie Wang, Dongqi Wang^*

Computer Systems Science and Engineering, Vol.46, No.3, pp. 2809-2820, 2023, DOI:10.32604/csse.2023.035494

Abstract Complex systems in the real world often can be modeled as network structures, and community discovery algorithms for complex networks enable researchers to understand the internal structure and implicit information of networks. Existing community discovery algorithms are usually designed for single-layer networks or single-interaction relationships and do not consider the attribute information of nodes. However, many real-world networks consist of multiple types of nodes and edges, and there may be rich semantic information on nodes and edges. The methods for single-layer networks cannot effectively tackle multi-layer information, multi-relationship information, and attribute information. This paper proposes a community discovery algorithm based… More >

SUBHASH CHANDRA^1,2, SANTWANA PALAI³, EDINARDO FAGNER FERREIRA-MATIAS⁴, IVO CAVALCANTE PITA-NETO⁴, CíCERO LUCAS GOMES-RAMALHO⁴, EDLANE MARTINS DE ANDRADE⁴, RAY SILVA DE ALMEIDA⁵, MARCELLO IRITI^6,7,*, HENRIQUE DOUGLAS MELO-COUTINHO^5,*

BIOCELL, Vol.47, No.4, pp. 677-695, 2023, DOI:10.32604/biocell.2023.026081

Abstract Indian medicinal plants are referred to as the “nectar of life” owing to their phytochemicals and bioactive complexes that are beneficial in treating diseases. Coronavirus disease 2019 (COVID-19) is a global health issue without any proper medication. The indigenous plants of India can be exploited to control the precise signs of SARS-CoV-2. The Ministry of AYUSH (Ayurveda, Yoga and Naturopathy, Unani, Siddha, and Homeopathy) has advised routine usage of medicinal plants for COVID-19. Medicinal plants like Zingiber officinalis, Azadirachta indica, Ocimum sanctum, Nigella sativa, Withania somnifera, Curcuma longa, Piper nigrum, Allium sativum, Tinospora cordifolia, etc. have immunity-boosting, antiviral, antibacterial, antioxidant… More >

Hong Li^1,*, Jianjun Li¹, Guohui Li¹, Rong Gao², Lingyu Yan²

CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1687-1709, 2023, DOI:10.32604/cmc.2023.035239

Abstract Expert Recommendation (ER) aims to identify domain experts with high expertise and willingness to provide answers to questions in Community Question Answering (CQA) web services. How to model questions and users in the heterogeneous content network is critical to this task. Most traditional methods focus on modeling questions and users based on the textual content left in the community while ignoring the structural properties of heterogeneous CQA networks and always suffering from textual data sparsity issues. Recent approaches take advantage of structural proximities between nodes and attempt to fuse the textual content of nodes for modeling. However, they often fail… More >