AI and the Future of Business Strategists: A Review and Research Agenda

Artificial Intelligence has received increased attention from multiple research disciplines, including strategic management and information systems. Despite such heightened interest, there is a noticeable absence of a comprehensive framework to explain how business strategists work with AI to develop business strategies. This paper develops such a framework to illustrate the process of business strategists working with AI to develop business strategies. We also conducted a systematic literature review of AI in business strategy research and used the developed framework to structure the analysis. From the findings, we reveal which parts of the framework have been studied and which are still in need of further research. In doing so, this study makes important contributions by (1) proposing a comprehensive framework of strategy workers and AI delegation process, (2) identifying the currently reported contributions of AI and business strategy research, and (3) identifying promising venues and critical research questions for future research

GLYCOSIDES ISOLATED FROM THE AERIAL PARTS OF Premna integrifolia L. GROWING IN THAI BINH

From the aerial parts of Premna integrifolia L., three glycosides acteoside (1), premnaodoroside A (2), and premnaodoroside B (3) were isolated. Their chemical structures were elucidated by means of ESI-MS, 1H-NMR, 13C-NMR, HSQC, HMBC spectra and in comparison with the previous literature. To our best knowledge, this is the first report of 1 and 3 from P. integrifolia

On the Effectiveness of Adversarial Samples against Ensemble Learning-based Windows PE Malware Detectors

Recently, there has been a growing focus and interest in applying machine learning (ML) to the field of cybersecurity, particularly in malware detection and prevention. Several research works on malware analysis have been proposed, offering promising results for both academic and practical applications. In these works, the use of Generative Adversarial Networks (GANs) or Reinforcement Learning (RL) can aid malware creators in crafting metamorphic malware that evades antivirus software. In this study, we propose a mutation system to counteract ensemble learning-based detectors by combining GANs and an RL model, overcoming the limitations of the MalGAN model. Our proposed FeaGAN model is built based on MalGAN by incorporating an RL model called the Deep Q-network anti-malware Engines Attacking Framework (DQEAF). The RL model addresses three key challenges in performing adversarial attacks on Windows Portable Executable malware, including format preservation, executability preservation, and maliciousness preservation. In the FeaGAN model, ensemble learning is utilized to enhance the malware detector's evasion ability, with the generated adversarial patterns. The experimental results demonstrate that 100\% of the selected mutant samples preserve the format of executable files, while certain successes in both executability preservation and maliciousness preservation are achieved, reaching a stable success rate

FIELD TEST ON CLEANING OF OIL POLLUTION ON NHATRANG BEACH OF VIETNAM

Joint Research on Environmental Science and Technology for the Eart

Impact of circular economy practices on financial performance of construction enterprises in Vietnam

The objective of the study is to assess the impact of circular economy practices on financial performance of construction enterprises in Vietnam. The study conducted a survey in 3 months using a survey resulting in 233 valid surveys representing 233 construction enterprises in Vietnam. Using Smart PLS 4.1 software to analyze data, the results show that circular economy practice positively impacts financial performance of circular economy construction and innovation enterprises that play a mediate role in the relationship between circular economy practice and financial performance. Finally, enterprise size has a role to play in moderating impact of circular economy practices on financial performance of construction enterprises in Vietnam

OPTIMIZING THE PRODUCTION OF A FUNCTIONAL TYPE A RECOMBINANT ENDOCHITINASE FROM Trichoderma asperellum IN Escherichia coli

Chitinases from the genus Trichoderma fungi are mainly responsible for their anti-fungal activities, which allow them to become the most widely used fungal biocontrol. Therefore, several Trichoderma chitinases have been cloned and expressed to facilitate their production and applications. A previous study of the same authors has characterized an endochitinase from a relatively novel Trichoderma spp., Trichoderma asperellum. To produce this enzyme more economically and efficiently, we reported the synthesis and expression of its synthetic encoding gene in the Escherichia coli M15 strain and established the optimal conditions for preparative scale production of the enzyme in its functional form. By lowering the induction temperatures, we observed substantial improvement in the expression levels of the active enzyme.  At 30 oC and 0.5 mM IPTG induction, 1 L of cells yielded approximately 80 - 100 mg of soluble protein, accounting for about 9-11 % of total soluble protein. This figure may be an underestimation of the actual yield, as deduced from the SDS-PAGE data. The recombinant enzyme can be retrieved by simple repeated freezing and thawing cycles and purified to near homogeneity using Ni-NTA chromatography. The purified enzyme showed in vitro colloidal chitin hydrolysis activity. These results could be scaled up to produce soluble 42 kDa chitinase in E. coli. The study demonstrated an economical method to produce chitinases for various agricultural and environmental applications

Synthesis of gelatin stabilized gold nanoparticles with seed particles enlargement by gamma Co-60 irradiation

Gold nanoparticles (AuNPs) with size from 13 to ~36 nm were synthesized by γ-irradiation method using gelatin as stabilizer. The AuNPs with controllable size were prepared using various concentration of Au3+ from 0.5 to 2 mM and seed particle enlargement with different ratios of [Au3+]/[Auo] up to 50. Maximum absorption wavelength (λmax) was measured by UV-Vis spectroscopy, and particle size was determined from TEM images. Results showed that the size of AuNPs increased with the Au3+ concentration. The seed enlargement approach is efficient to control the size of AuNPs. The value of λmax shifted from 527.5 nm (seed particles) to 537.5 nm, and the size of AuNPs increased from 13 nm (seed particles) to ~36 nm for concentration ratio of [Au3+]/[Auo] up to 40. Thus, γ-irradiation method is favorable for production of AuNPs with controllable size and high purity. The AuNPs/gelatin synthesized by γ-irradiation with the advantages of environmental friendly and mass production process may be potentially promising for applications in medicines, cosmetics and in other fields as well. Keywords. Gold, Nanoparticles, Gelatin, γ-irradiation

The role of technological innovation and cleaner energy towards the environment in ASEAN countries: proposing a policy for sustainable development goals

The association between economic growth (EG) and environmental degradation (ED) has been highlighted extensively in prior studies. However, investigation regarding ‘technological innovation and clean energy role’ in dealing with environmental concerns has comprised limited context while considering the ASEAN economies under sustainable development goals. Therefore, the study attempts to investigate the phenomenon by using CS-ARDL analysis under short as well as long run. The findings through CSARDL in long- and short-run indicate that REN have impact carbon emission and ecological footprints negatively. Additionally, the EG in targeted economies is causing a higher level of CE and ecological footprints. Whereas, GDP2ofund to be significant in lowering the ED in the form of CE and ecological footprints. It is suggested that policies related to CE through EG should be developed in order to control the environmental issues in the future

OPTICAL BISTABILITY IN A DEGENERATE TWO-LEVEL EIT MEDIUM UNDER THE INFLUENCE OF AN EXTERNAL MAGNETIC FIELD: AN ANALYTICAL APPROACH

We investigate the behavior of optical bistability in a degenerate two-level atomic medium using an external magnetic field to separate the lower level into two distinct levels that both connect to an upper level by the probe and coupling laser fields. Based on analytical solutions, the absorption spectrum and behavior of optical bistability in an electromagnetically induced transparency regime under an external magnetic field are investigated. By controlling the external magnetic field, we find that the appearance and disappearance of the optical bistability can be easily controlled according to the strength of the magnetic field in the transparent window domain. Furthermore, the effects of the intensity of the coupling laser field and the parameters of the system on the behavior of optical bistability are also considered. The proposed model is useful for applications in all-optical switches and magneto-optic storage devices.We investigate the behavior of optical bistability in a degenerate two-level atomic medium using an external magnetic field to separate the lower level into two distinct levels that both connect to an upper level by the probe and coupling laser fields. Based on analytical solutions, the absorption spectrum and behavior of optical bistability in an electromagnetically induced transparency regime under an external magnetic field are investigated. By controlling the external magnetic field, we find that the appearance and disappearance of the optical bistability can be easily controlled according to the strength of the magnetic field in the transparent window domain. Furthermore, the effects of the intensity of the coupling laser field and the parameters of the system on the behavior of optical bistability are also considered. The proposed model is useful for applications in all-optical switches and magneto-optic storage devices

TẠO DÒNG GEN MÃ HÓA CHITINASE 42 kDa CỦA TRICHODERMA ASPERELLUM VÀ DỰ ĐOÁN ĐẶC TÍNH CỦA ENZYME

Chitinase is an enzyme that catalyzes the hydrolytic reaction of chitin by cleaving 1,4-N-acetyl-β-glucosaminide linkages. Chitinase has been widely used in various fields, especially pest control, pollution reduction, and basic and applied biology. Chitinase from microorganisms is an essential source, typically from Trichoderma. After removing intron sequences, the gene encoding chitinase 42 kDa (chi42) from Trichoderma asperellum SH16 was synthesized and cloned into the pUC19 vector. The gene chi42 digested by BamHI and SacI was successfully cloned into the pQE30 vector, which was expressed in E. coli. The primary in silico analysis of the protein structure shows that chitinase is an extracellular protein. The secondary structure analysis reveals that chitinase has 15 α helices and 13 β sheets, while the dimension structure of chitinase is highly homological with the chitin hydrolytic enzyme from T. harzianum. The chitinase from T. asperellum is resistant to temperatures higher than 65 °C and exhibits acidic catalysis activity. Our results would provide basic information for heterologous expression and scale-up production of chitinase 42 kDa.Chitinase là enzyme xúc tác thủy phân chitin bằng cách phân cắt liên kết 1,4-N-acetyl-β-glucosaminide. Chitinase được ứng dụng rộng rãi trong nhiều lĩnh vực khác nhau, đặc biệt trong kiểm soát dịch bệnh, giảm thiểu ô nhiễm, nghiên cứu sinh học cơ bản và ứng dụng. Nguồn thu nhận chitinase chủ yếu là từ vi sinh vật, điển hình từ các chủng nấm Trichoderma. Gen mã hóa chitinase 42 kDa (chi42) của Trichoderma asperellum SH16 sau khi tạo dòng vào vector pUC19 được ghép nối thành công vào vector pQE30 để biểu hiện ở E. coli M15. Chitinase là enzyme ngoại bào. Cấu trúc bậc 2 của chitinase bao gồm 15 chuỗi xoắn α và 13 phiến β với cấu trúc không gian tương đồng cao với enzyme thủy phân chitin ở T. harzianum. Chitinase có khả năng chịu nhiệt độ cao hơn 65 °C và hoạt tính xúc tác mang tính acid. Kết quả nghiên cứu là cơ sở cho các nghiên cứu biểu hiện và sản xuất enzyme tái tổ hợp