Shabana Ramzan¹, Yazeed Yasin Ghadi², Hanan Aljuaid³, Aqsa Mahmood^1,*, Basharat Ali⁴

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 183-199, 2024, DOI:10.32604/cmc.2024.047603

Abstract Traditional farming procedures are time-consuming and expensive as based on manual labor. Farmers have no proper knowledge to select which crop is suitable to grow according to the environmental factors and soil characteristics. This is the main reason for the low yield of crops and the economic crisis in the agricultural sector of the different countries. The use of modern technologies such as the Internet of Things (IoT), machine learning, and ensemble learning can facilitate farmers to observe different factors such as soil electrical conductivity (EC), and environmental factors like temperature to improve crop yield. These parameters play a vital… More >

Mir Abdullatif Yahya¹, Fatma Tunali¹, Dilek Killi^2,*, Atalay Sökmen²

Phyton-International Journal of Experimental Botany, Vol.93, No.3, pp. 427-444, 2024, DOI:10.32604/phyton.2024.046271

Abstract An effective in vitro propagation protocol was designed for Lavandula angustifolia Miller, a medicinal aromatic plant that is a prominent source of volatile organic compounds (VOCs). Murashige and Skoog media were supplemented with various concentrations of Plant Growth Regulators (PGRs), and the growth parameters of the nodal segments were examined. Nodal explants formed callus when they were supplemented with 2 mg/L of 6-Benzylaminopurine (BAP). The superior hormonal concentration of Murashige and Skoog (MS) media for the proliferation of shoots from callus cultures (39.33%) was 5 mg/L of 2-Isopentenyl adenine (2iP), and the favorable media for the growth of L. angustifolia… More >

ARCHNA RANI

Journal of Polymer Materials, Vol.39, No.1-2, pp. 17-35, 2022, DOI:10.32381/JPM.2022.39.1-2.2

Abstract Accumulation of Microplastics (MPs) in diverse ecosystems is a growing global problem of our time. These are entering into the environment directly (micro-sized plastics manufactured purposefully) and by degradation of plastic products. Due to a diverse range of polymers and additives used to manufacture plastic products, the MPs of different chemical compositions are abundant in the environment. A detailed literature survey revealed that MPs -environment interaction is largely governed by these chemicals and other intrinsic properties of MPs viz. shape, size, density, surface charge, etc. The current investigation primarily aims to review different chemical and physical factors of MPs that… More >

HAO LV¹, BO ZHU^1,2, DEGAO CHEN^1,2,*

BIOCELL, Vol.48, No.3, pp. 363-378, 2024, DOI:10.32604/biocell.2023.046367

Abstract Tumor-associated macrophages (TAMs) are emerging as targets for tumor therapy because of their primary role in promoting tumor progression. Several studies have been conducted to target TAMs by reducing their infiltration, depleting their numbers, and reversing their phenotypes to suppress tumor progression, leading to the development of drugs in preclinical and clinical trials. However, the heterogeneous characteristics of TAMs, including their ontogenetic and functional heterogeneity, limit their targeting. Therefore, in-depth exploration of the heterogeneity of TAMs, combined with immune checkpoint therapy or other therapeutic modalities could improve the efficiency of tumor treatment. This review focuses on the heterogeneous ontogeny and… More >

Shijie Lin¹, Zimo Wang¹, Hongbo Zhu², Conghui Wang³, Hongfeng Wang², Dawei Zhang¹, Tianbing Gou¹, Guangdao Bao¹, Ye Luo¹, Huaijiang He¹, Zhonghui Zhang^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.2, pp. 277-289, 2024, DOI:10.32604/phyton.2024.046989

Abstract Tilia amurensis is an economically valuable broadleaf tree species in Northeast China. The production of high-quality T. amurensis varieties at commercial scales has been greatly limited by the low germination rates. There is thus a pressing need to develop an organogenesis protocol for in vitro propagation of T. amurensis to alleviate a shortage of high-quality T. amurensis seedlings. Here, we established a rapid in vitro propagation system for T. amurensis from mature zygotic embryos and analyzed the effects of plant growth regulators and culture media in different stages. We found that Woody plant medium (WPM) was the optimal primary culture… More >

YANG XU^1,#, HONGYUN LI^1,#, GE YOU^2,*

BIOCELL, Vol.48, No.2, pp. 229-237, 2024, DOI:10.32604/biocell.2023.045030

Abstract Background: Colorectal cancer (CRC) constitutes the leading cause of death worldwide. Chemoresistance and tumor immune evasion are critical contributors to therapeutic failure in cancer patients. CKLF-like MARVEL transmembrane domain-containing 6 (CMTM6) is aberrantly expressed in various cancers and can regulate tumor immunity. However, its role in chemoresistance and tumor immunity of CRC is not well understood. Methods: Online bioinformatics tools were used to analyze expression and prognosis of CMTM6 in CRC patients. CRC cells were transfected with si-CMTM6. Subsequently, the effects on CRC cell viability and chemoresistance were investigated by CCK-8 assay and flow cytometer. Furthermore, CRC cell-induced macrophage recruitments… More > Graphic Abstract

QI XIA¹, XING CHEN², QINGHUA MA³, XIANXIU WEN^2,*

BIOCELL, Vol.48, No.2, pp. 217-228, 2024, DOI:10.32604/biocell.2023.027414

Abstract Background: Breast cancer (BC) is the most common cancer and the leading cause of cancer death in women. Immune features play an important role in improving the prognosis prediction of BC. However, while previous immune signatures consisted mainly of immune genes, immune cell-based signatures have been rarely reported. Methods: In this study, we report that a novel immune cell signature is effective in improving prognostic prediction by combining M2 macrophages. We identified 17 differentially infiltrating immune cells between cancer and normal groups. Prognostic features of the four immune cells identified by LASSO COX analysis showed good performance for survival risk… More >

Omojola Awogbemi^*, Ayotunde Adigun Ojo, Samson Adedayo Adeleye

Journal of Renewable Materials, Vol.12, No.1, pp. 1-28, 2024, DOI:10.32604/jrm.2023.045822

Abstract The huge volumes of crop residues generated during the production, processing, and consumption of farm products constitute an ecological nuisance when ineffectively managed. The conversion of crop residues to green hydrogen is one of the sustainable management strategies for ubiquitous crop residues. Production of green hydrogen from crop residue sources will contribute to deepening access to clean and affordable energy, mitigating climate change, and ensuring environmental sustainability. However, the deployment of conventional thermochemical technologies for the conversion of crop residues to green hydrogen is costly, requires long residence time, produces low-quality products, and therefore needs to be upgraded. The current… More >

Parakapali Roja¹, Shaik Mohammed Ibrahim², Thummala Sankar Reddy³, Giulio Lorenzini^4,*

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.2, pp. 257-274, 2024, DOI:10.32604/fdmp.2023.042283

Abstract This study examines the behavior of a micropolar nanofluid flowing over a sheet in the presence of a transverse magnetic field and thermal effects. In addition, chemical (first-order homogeneous) reactions are taken into account. A similarity transformation is used to reduce the system of governing coupled non-linear partial differential equations (PDEs), which account for the transport of mass, momentum, angular momentum, energy and species, to a set of non-linear ordinary differential equations (ODEs). The Runge-Kutta method along with shooting method is used to solve them. The impact of several parameters is evaluated. It is shown that the micro-rotational velocity of… More >

Medhat A. Tawfeek^1,2, Nacim Yanes^3,4, Leila Jamel^5,*, Ghadah Aldehim⁵, Mahmood A. Mahmood^1,6

CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 2545-2564, 2023, DOI:10.32604/cmc.2023.042179

Abstract The trend towards smart greenhouses stems from various factors, including a lack of agricultural land area owing to population concentration and housing construction on agricultural land, as well as water shortages. This study proposes building a full farming adaptation model that depends on current sensor readings and available datasets from different agricultural research centers. The proposed model uses a one-dimensional convolutional neural network (CNN) deep learning model to control the growth of strategic crops, including cucumber, pepper, tomato, and bean. The proposed model uses the Internet of Things (IoT) to collect data on agricultural operations and then uses this data… More >