The global investment landscape has undergone a paradigm shift, focusing on Environmental, Social, and Governance (ESG) factors as the major determinants of financial sustainability in investment decisions worldwide. This study uses predictive modeling to analyze the complex link between ESG variables and investment decisions. Focusing on three key sectors: IT, FMCG, and BFS, the study adopts a predictive modeling approach, recognizing the distinct characteristics and challenges within each sector. The information depends on the data obtained from different places like ESG details, and previous financial performance pointers – EBITDA, EPS, ROE, and P/E for 2018 to 2022, inclusive of general investor behavior. We can do this by working with relevant sources of data together with machine learning methods which show what happens in the Indian market in terms of ESG influencing the market thus leading to sustainable investment outcomes. This article seeks to comprehend why investors may favor sustainability as opposed to their conventional monetary units.

Industry plays a vital role in developing Thailand and supporting and driving businesses. The increase in industry benefits the national income. However, it also affects the environment. Industrial companies must adapt to reduce problems by developing organizational infrastructure, such as logistics activities or operations, which are the major systems and causes of environmental issues. Therefore, this study aims to study guidelines for logistic system and supply chain management for the environment in industrial business and develop a structural equation model (SEM). The study used a mixed-method research design; the qualitative method, in-depth interviews with nine experts and a focus group with 11 experts were used. Concerning the quantitative method, a questionnaire survey was used with 500 green industries. Descriptive statistics, inference statistics, and multivariate analysis were also used to analyze the data. The study found four essential aspects: (1) Customer orientation, (2) Green network, (3) Logistic process, and (4) Organization management. Finally, the hypothesis testing results found that in medium- and large-sized industries, the importance of the variables of the logistic system and supply chain management for the environment had no statistically significant difference at 0.05. The results from the analysis of the structural equation model found that the study passed the evaluation and was relevant to empirical data with a chi-square probability level of 0.066, a relative chi-square of 1.133, a goodness of fit index of 0.954, and root mean square error of approximation equal to 0.016.

Molecular electron density theory has been performed with the B3LYP/6-31(d,p) method to study the [3+2] cycloaddition processes between azidobenzene and propionaldehyde, the reactivity indices, activation and reaction energies are computed. The reaction and activation energies indicate that this [3+2] cycloaddition reaction is regiospecific, in good agreement with the experimental results. ELF examination revealed that the mechanism of these cycloaddition reactions takes place in two steps. In addition, a docking approach was performed on the products investigated, and the interaction with the protein protease COVID-19 (PDB ID: 6LU7), the results confirm that the presence of triazole and isoxazole rings increases the affinity of these products.

Economic development is required to be associated with sustainable environmental protection and is considered as an urgent need in the current period. Research on the factors that determine the use of green production activities is carried out in Vietnam through a survey of 202 businesses, through Cronbach's alpha reliability analysis method, exploring EFA factors and regression analysis, research results show that the benefits of green growth, the effectiveness of communication and the quality of human resources have a positive impact on promoting green growth, while there is no influence of state policies on green growth.

The proposed study of this paper investigates the effects of total quality management (TQM) and eco supply chain management on business sustainability. The type of research used in this research is quantitative research and uses an online questionnaire as a tool to collect data from respondents. Research data was obtained by distributing online questionnaires to 568 Manufacturing company managers who were determined using the simple random sampling method. The questionnaire was designed to contain statement items and the Likert scale used in this research. The data analysis method used in this research was structural equation modelling partial least squares (PLS-SEM) with data processing tools, namely SmartPLS 4.0 software. The findings of this research specify that TQM and eco supply chain management had significant effects on business sustainability. The results of this research indicate that TQM and eco supply chain implementation were manifested in the company's ability to produce high product quality directly affecting the business sustainability of manufacturing companies.

In supply chain management, the employed forecasting algorithm plays a very vital and crucial role in how a particular business performs well in the market. This study proposes a time series based forecasting model to help in designing an effective make-to-stock supply chain mechanism for tackling the large number of suppliers (suppliers diversion) and products (items diversion). The proposed technique extends the traditional ARIMA model to ARIMA Double Layering Technique (DLT) where the algorithm is implemented in two layers: first one is to obtain the number of orders level, and the other layer is implemented at the quantity level. The systematic implementation procedure of our approach is illustrated through a real case study. The accuracy evaluation and consistency of the results show that ARIMA -DLT provides superior forecasting when compared with ML-based models which provides insightful managerial views to other similar forecasting problems.

A series of all novels 4(3-(4-Fluorophenyl)2-methyl-1-(4-(sulfonamidesubtituted)phenyl)-4-oxoazitidin-2-yl)-3-methyl-1-(p-tolyl)-1H-pyrazol-5(4H) One 5a-5r poly functionalized derivatives were containing sulfonamide functionality united with 2-Azitidinone (Azitidin-2-one or β-lactam) group which designed and synthesized with moderate to good yield. The starting with 4-acyl-2-pyrazolin-5-one (APYZ) 1 which condensed with different sulfonamides 2 produced intermediate Schiff bases 4-(arylideneamino)-N-(thiazol-2-yl)benzensulfonamide 3a-r were cyclization with 2-(4-flourophenyl)chloroacetylchloride (F-CAC) 4 which produced targeted compounds 5a-5r of 2-Azitidinone versatile group in good yield. The isolated compounds were recognized by spectral and elemental investigation. The compounds 5f, 5l, 5n, and 5r showed excellent increased antibacterial activity compared to streptomycin standard drug and 5c, 5f, 5l, 5o, and 5r showed moderate to good antioxidant properties with used DPPH radical scavenging assay.

The main problems found mainly in the ferry transportation in the port of Merak-Bakauhuni in the Province of Banten, Indonesia, is the high occupational accident due to safety procedures and low ship crew competency which finally influence the company's operational performance. The aim of this research was to know and analyze the influence of safety procedures and ship crew competency on passenger safety that has impacts on the company's operational performance of ferriage at the port. This research used Structural Equation Model – SmartPLS4 with a research sample of as many as 150 ship crew. The results of this research indicated that safety procedures and ship crew competency positively and significantly influence passenger safety. Besides, safety procedures, ship crew competency, and passenger safety positively and significantly influence operational performance. These results also confirmed that passenger safety could mediate the influence of safety procedures on operational performance and the influence of ship crew competency on operational performance.

This work presents a comprehensive synthesis method for the development of a new hyperbranched unsaturated polyester resin (HUPR). The resin is synthesized by modifying dehydrated castor oil fatty acid (DCOFA) with methyl methacrylate (MMA) and styrene, dicyclopentadiene-maleate (DCPD-M), and trimethylol propane diallyl ether (TMPDE). The synthesis process involves the radical addition reaction of DCOFA with MMA and styrene, followed by the addition of DCPD-M and TMPDE to form a HUPR. The resulting resin exhibits enhanced properties, making it a promising candidate for car body putty in the polymer industry.

Supply chain plays a very important role in the socio-economic development of countries, especially in the context of the fourth industrial revolution associated with the development of the sharing economy as well as associated with the rational and optimal allocation of resources. Studying the impact of supply chain management on the development of the sharing economy in the case of Hanoi, Vietnam and using advanced quantitative analysis methods, the research results show that perfecting the supply chain helps businesses rationalize costs and thus can improve business performance and promote the sharing economy. The study also shows that the quality of human capital and technological level have a positive impact on the sharing economy. Therefore, when the economy increases the contribution of technology to production activities, it helps businesses increase their choice of the sharing economy and thus helps to allocate resources more effectively and optimally.