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  • Open Access

    ARTICLE

    High-Value-Added Utilization of Turpentine: Screening of Anti-Influenza Virus Agents from β-Pinene Derivatives

    Yiwen Li1,#, Hongyan Si1,#, Peng Wang1, Hai Luo1, Minggui Shen2, Xiaoping Rao3, Zhanqian Song2, Shibin Shang2, Zongde Wang1,*, Shengliang Liao1,*

    Journal of Renewable Materials, Vol.12, No.1, pp. 45-56, 2024, DOI:10.32604/jrm.2023.031089 - 23 January 2024

    Abstract Turpentine is a renewable and resourceful forest product. The deep processing and utilization of turpentine, particularly its primary component β-pinene, has garnered widespread attention. This study aimed to synthesize 40 derivatives of β-pinene, including nopinone, 3-cyanopyridines of nopinone, myrtanyl acid, myrtanyl acylthioureas, and myrtanyl amides. We assessed the antiviral activities of these β-pinene derivatives against influenza virus A/Puerto Rico/8/34 (H1N1) using the 3-(4,5-dimetylthiazol-2-yl)-2,5-diphenyltetrazolium bromide method. The β-pinene derivatives were used before and after cellular infection with the influenza virus to evaluate their preventive and therapeutic effects against the H1N1 virus. The results showed that only compound 10o More > Graphic Abstract

    High-Value-Added Utilization of Turpentine: Screening of Anti-Influenza Virus Agents from <i>β</i>-Pinene Derivatives

  • Open Access

    ARTICLE

    Strategic Contracting for Software Upgrade Outsourcing in Industry 4.0

    Cheng Wang1,2,*, Zhuowei Zheng1

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1563-1592, 2024, DOI:10.32604/cmes.2023.031103 - 17 November 2023

    Abstract The advent of Industry 4.0 has compelled businesses to adopt digital approaches that combine software to enhance production efficiency. In this rapidly evolving market, software development is an ongoing process that must be tailored to meet the dynamic needs of enterprises. However, internal research and development can be prohibitively expensive, driving many enterprises to outsource software development and upgrades to external service providers. This paper presents a software upgrade outsourcing model for enterprises and service providers that accounts for the impact of market fluctuations on software adaptability. To mitigate the risk of adverse selection due… More >

  • Open Access

    REVIEW

    Regulating Empathy: Exploring the Process through Agents and Strategies

    Ke Jia, Xiuli Liu*

    International Journal of Mental Health Promotion, Vol.25, No.12, pp. 1265-1285, 2023, DOI:10.32604/ijmhp.2023.043430 - 29 December 2023

    Abstract Empathy is a complex emotional phenomenon that plays a crucial role in promoting cooperation and social cohesion within human society. However, there is ongoing debate regarding the mechanisms that underlie the generation of empathy. While the importance of biological emotional resonance in empathy is widely recognized, the influence of cognitive regulation on empathetic responses cannot be disregarded. This article seeks to review the agents and strategies involved in regulating empathy to construct a dynamic model depicting the process. The model highlights that the impact of specific goals on empathy regulation is not definitive; rather, it… More >

  • Open Access

    ARTICLE

    Convolutional Neural Network Model for Fire Detection in Real-Time Environment

    Abdul Rehman, Dongsun Kim*, Anand Paul

    CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 2289-2307, 2023, DOI:10.32604/cmc.2023.036435 - 29 November 2023

    Abstract Disasters such as conflagration, toxic smoke, harmful gas or chemical leakage, and many other catastrophes in the industrial environment caused by hazardous distance from the peril are frequent. The calamities are causing massive fiscal and human life casualties. However, Wireless Sensors Network-based adroit monitoring and early warning of these dangerous incidents will hamper fiscal and social fiasco. The authors have proposed an early fire detection system uses machine and/or deep learning algorithms. The article presents an Intelligent Industrial Monitoring System (IIMS) and introduces an Industrial Smart Social Agent (ISSA) in the Industrial SIoT (ISIoT) paradigm.… More >

  • Open Access

    VIEWPOINT

    Future of the current anticoronaviral agents: A viewpoint on the validation for the next COVIDs and pandemics

    AMGAD M. RABIE*

    BIOCELL, Vol.47, No.10, pp. 2133-2139, 2023, DOI:10.32604/biocell.2023.030057 - 08 November 2023

    Abstract Despite the global decline in the severity of the coronavirus disease 2019 (COVID-19) cases, the disease still represents a major concern to the relevant scientific and medical communities. The primary concern of drug scientists, virologists, and other concerned specialists in this respect is to find ready-to-use suitable and potent anticoronaviral therapies that are broadly effective against the different species/strains of the coronaviruses in general, not only against the current and previous coronaviruses (e.g., the recently-appeared severe acute respiratory syndrome coronavirus 2 “SARS-CoV-2”), i.e., effective antiviral agents for treatment and/or prophylaxis of any coronaviral infections, including More > Graphic Abstract

    Future of the current anticoronaviral agents: A viewpoint on the validation for the next COVIDs and pandemics

  • Open Access

    ARTICLE

    Optimal Concentration of the Bubble Drainage Agent in Foam Drainage Gas Recovery Applications

    Shaopeng Liu1, Guowei Wang2,3,*, Pengfei Liu1, Dong Ye1, Jian Song1, Xing Liu1, Yang Cheng2,3

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.12, pp. 3045-3058, 2023, DOI:10.32604/fdmp.2023.029810 - 27 October 2023

    Abstract Foam drainage is the flow of liquid through the interstitial spaces between bubbles driven by capillarity and gravity and resisted by viscous damping. The so-called foam drainage gas recovery technology is a technique traditionally used to mitigate the serious bottom-hole liquid loading in the middle and late stages of gas well production. In this context, determining the optimal concentration of the bubble drainage agent is generally crucial for the proper application of this method. In this study, a combination of indoor experiments and theoretical analysis have been used to determine the pressure drop related to… More >

  • Open Access

    ARTICLE

    Characterization of Endophytic Microorganisms of Rice (Oryza sativa L.) Potentials for Blast Disease Biocontrol and Plant Growth Promoting Agents

    Shugufta Parveen1, Fayaz A. Mohiddin2,*, M. Ashraf Bhat3, Zahoor Ahmed Baba4, Fehim Jeelani5, M. Anwar Bhat6, Sajad Un Nabi7, Burhan Hamid2, Saba Bandey8, Farhanaz Rasool9, Zakir Amin1, Ibrahim Al-Ashkar10,*, Muhammad Adnan11, Ayman El Sabagh12

    Phyton-International Journal of Experimental Botany, Vol.92, No.11, pp. 3021-3041, 2023, DOI:10.32604/phyton.2023.030921 - 24 October 2023

    Abstract One hundred twenty-five endophytic microorganisms were isolated from the roots, stems, and leaves of four prominent rice cultivars growing in temperate regions. Their potential to combat rice blast disease and promote plant growth was investigated. The dual culture tests highlighted the strong antagonistic activity of five fungal (ranging from 89%–70%) and five bacterial (72%–61%) endophytes. Subsequent examination focused on volatile compounds produced by selected isolates to counter the blast pathogen. Among these, the highest chitinase (13.76 µg mL−1) and siderophore (56.64%), was exhibited by Aspergillus flavus, and the highest HCN production was shown by Stenotrophomonas maltophilia (36.15 µM… More >

  • Open Access

    ARTICLE

    Multi-Agent Deep Reinforcement Learning for Efficient Computation Offloading in Mobile Edge Computing

    Tianzhe Jiao, Xiaoyue Feng, Chaopeng Guo, Dongqi Wang, Jie Song*

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3585-3603, 2023, DOI:10.32604/cmc.2023.040068 - 08 October 2023

    Abstract Mobile-edge computing (MEC) is a promising technology for the fifth-generation (5G) and sixth-generation (6G) architectures, which provides resourceful computing capabilities for Internet of Things (IoT) devices, such as virtual reality, mobile devices, and smart cities. In general, these IoT applications always bring higher energy consumption than traditional applications, which are usually energy-constrained. To provide persistent energy, many references have studied the offloading problem to save energy consumption. However, the dynamic environment dramatically increases the optimization difficulty of the offloading decision. In this paper, we aim to minimize the energy consumption of the entire MEC system… More >

  • Open Access

    ARTICLE

    Deoxynortryptoquivaline: A unique antiprostate cancer agent

    YOHKO YAMAZAKI1,*, MANABU KAWADA2, ISAO MOMOSE1

    Oncology Research, Vol.31, No.6, pp. 845-853, 2023, DOI:10.32604/or.2023.030266 - 15 September 2023

    Abstract The androgen receptor (AR) is a critical target in all the clinical stages of prostate cancer. To identify a new AR inhibitor, we constructed a new screening system using the androgen-dependent growth of prostate cancer cell lines as a screening indicator. We screened 50,000 culture broths of microorganisms using this screening system and found that the fermentation broth produced by a fungus inhibited androgen-dependent growth of human prostate cancer LNCaP cells without cytotoxicity. Purification of this culture medium was performed, and this resulted in deoxynortryptoquivaline (DNT) being identified as a novel inhibitor of AR function. More > Graphic Abstract

    Deoxynortryptoquivaline: A unique antiprostate cancer agent

  • Open Access

    ARTICLE

    Identification of a dihydroorotate dehydrogenase inhibitor that inhibits cancer cell growth by proteomic profiling

    MAKOTO KAWATANI1,2,*, HARUMI AONO2, SAYOKO HIRANUMA3, TAKESHI SHIMIZU3, MAKOTO MUROI1,2, TOSHIHIKO NOGAWA4, TOMOKAZU OHISHI5, SHUN-ICHI OHBA5, MANABU KAWADA5, KANAMI YAMAZAKI6, SHINGO DAN6, NAOSHI DOHMAE1, HIROYUKI OSADA2,7,*

    Oncology Research, Vol.31, No.6, pp. 833-844, 2023, DOI:10.32604/or.2023.030241 - 15 September 2023

    Abstract Dihydroorotate dehydrogenase (DHODH) is a central enzyme of the de novo pyrimidine biosynthesis pathway and is a promising drug target for the treatment of cancer and autoimmune diseases. This study presents the identification of a potent DHODH inhibitor by proteomic profiling. Cell-based screening revealed that NPD723, which is reduced to H-006 in cells, strongly induces myeloid differentiation and inhibits cell growth in HL-60 cells. H-006 also suppressed the growth of various cancer cells. Proteomic profiling of NPD723-treated cells in ChemProteoBase showed that NPD723 was clustered with DHODH inhibitors. H-006 potently inhibited human DHODH activity in vitro, whereas More >

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