A sequence of thioxotetrahydropyrimidenes derivatives, N-(4-chloro/methoxyphenyl)-3-formyl-6-methyl-4-aryl-2-thioxo-1,2,3,4-tetrahydropyrimidine-5-carboxamides (4a-l) were synthesized by the formylation of N-(4-chloro/methoxyphenyl)-6-methyl-4-aryl-2-thioxo-1,2,3,4-tetrahydropyrimidine-5-carboxamides (3a-l) by dry dimethyl formamide (DMF) and phosphorous oxychloride at room temperature. Formerly, compounds (3a-l) were synthesized by the condensation of N-(4-chloro/methoxyphenyl)-3-oxobutanamide (1), various aromatic aldehydes (2a-f) and thiourea with catalytic amount of concentrated hydrochloric acid under reflux temperature. The structures of the synthesized various thioxotetrahydropyrimidenes have been characterized by using elemental analysis, Infrared, ¹H-NMR, ¹³C-NMR spectroscopy and further supported by Mass spectroscopy. All the products have been screened for their in-vitro biological assay like antibacterial activity towards Gram-positive and Gram-negative bacterial strains and antifungal activity towards Aspergillus niger at a concentration of 40 µg/ml. It was showing that the compounds 4a, 4e, 4g, 4h, 4i and 4l displayed inspirational antibacterial and antifungal activity compared to the used reference standard.

This study focuses on the efficient synthesis of series of substituted 4-amino-6-(1H-benzimidazol-2-ylsulfanyl) benzene-1,3-dicarbonitrile derivatives synthesized from aldehydes, propanedinitrile, substituted thiols and catalyzed by ZnO nanoparticles (ZnONPs). All the synthesized compounds have been characterized using different spectroscopic techniques such as FT-IR, ¹H-NMR, C¹³-NMR and Mass. The compounds were evaluated for potential pharmacological applications, including antimicrobial, α-amylase inhibitory and anticancer activities. Computational calculations, DFT, in-silico molecular docking, and ADME-toxicologystudies were performed. ADMET studies indicated that all synthesized compounds adhered to Rule of five with good bioavailability. This research underscores the promising pharmacological prospects of the synthesized newbenzimidazole derivatives.

NiO cellulose nanocomposite (NiO-CN) were synthesized by the precipitation method and characterized by X-Ray diffraction (XRD), Transmission Electron Microscope (TEM), Scanning Electron Microscope (SEM), Energy Dispersive X-ray (EDX) analysis, Fourier transform infrared (FTIR) measurements and UV–vis spectroscopy. The particles obtained have an average size of 20-30 nm as shown by TEM analysis. Fourier transform infrared (FTIR) measurements were carried out to identify the possible biomolecules responsible for the capping and stabilization of the nickel oxide nanoparticles synthesized by milk. The presence of elements in the nanoparticles was also analysed by Energy Dispersive X-ray (EDX) analysis. The results of EDX analysis show the weight percentages of C, O, Ni, and N-elements in the synthesized material were 41.65%, 52.49%, 3.81%, and 2.06%, respectively. Scanning Electron Microscope (SEM) has been used to assess the morphology of the nanoparticle. The effects of NiO-cellulose nanocomposite are screened for biological activities like, antibacterial activity was done by the Disc diffusion method. The bacterial organisms used in this study were Bacillus subtilis, Salmonela abony, Staphylococcus aureus and Escherichia coli. The observed inhibition zone for these microorganisms was found to be a minimum of 3.0 mm and a maximum of 22.0 mm. Moreover, This NiO-CN also decreases the 50% load of Leishmania donovani via MTT assay with 25µg/ml concentration after 72 hours incubation.

Sulfated tungstate efficiently catalyzes the cyclodehydration of 1-(2-hydroxyphenyl)-3-aryl-1,3-propanediones to flavones under solvent-free conditions. Utilization of conventional heating, simple reaction conditions, short reaction time, ease of product isolation and purification makes this manipulation very interesting from an economic and environmental perspective. Under these conditions, twelve examples were obtained with good yields (85-94%).

A famous cisplatin anticancer agent is one of the most widely used chemotherapeutics for treating several human solid tumors. Toxicity of the normal cell is a life-threatening issue that restricts the therapeutic potential of cisplatin complex as an anticancer drug. Even though every year thousands of cisplatin-based analogs have been prepared, screened, and reported, only very few compounds entered the medical trials. Hence, new research work is still sensible. In the last few years, many mononuclear and polynuclear platinum complexes have been considerably investigated, in vitro and in vivo studies evaluated, with some compounds demonstrating significant anticancer potential. In this review, various mono-metallic and poly-metallic platinum‐based complexes with various derivatives used as ligands that have anticancer potential are defined and numerous typical examples are discussed briefly. Present investigation, numerous mononuclear cisplatin derivatives exhibited greater anticancer potency than the parent cisplatin drug. However, polynuclear cisplatin derivatives showed much better anticancer activity than mononuclear cisplatin analogs against various cancer cell lines.

This research presents a novel approach to address the Virtual Machine Placement Problem (VMPP) in cloud data centers with the aim of minimizing energy consumption. The main contributions of this study are threefold. Firstly, a Duelist Algorithm specifically designed for VMPP, which introduces a unique concept of duelists combined with optimization techniques. The algorithm aims to strike a balance between exploration and exploitation in the search space, leading to more effective resource allocation and energy-efficient cloud data center management. Secondly, enhance the performance of the Duelist Algorithm by reducing the number of algorithm-specific parameters. This simplifies the implementation process and increases the algorithm's adaptability to various real-world problems, making it more user-friendly and robust. Lastly, conduct a comprehensive comparison of the Duelist Algorithm with the widely used Hybrid Harmony Search Algorithm (HS+SA+LS) in terms of energy consumption and overall efficiency. The experimental results demonstrate that the Duelist Algorithm consistently outperforms the Hybrid Harmony Search Algorithm, achieving remarkable improvements in both best and mean fitness values. Additionally, the Duelist Algorithm exhibits lower standard deviation values, indicating more stable and consistent performance. The findings of this research validate the effectiveness of the proposed Duelist Algorithm in minimizing energy consumption and optimizing cloud resource allocation. The reduction of algorithm-specific parameters further contributes to its versatility and simplicity.

In this paper, the authors proposed a new framework for Mobile application adoption by unorganized retailers. Unorganized retail is a renowned retail business in India. Unorganized retail is a so-called low-cost retail format where some of the retail stores are Kirana store, Grocery store, provisional store, ready to eat store, mom & pop store, peddlers, Hawkers, and stationery store. Retailers face stiff competition from omnichannel, multi-channel retailers, and e-tailers. To counter this competition, unorganized retailers adopt some Mobile applications which are relevant to their business. While some of the Mobile Applications are WhatsApp business, Facebook page, telegram, blogs, google maps Mandi app, Udaan app, Katha book app, OK credit, Dukan app, and just dial. This paper explains a deep discussion about unorganized retailers, unorganized retailers' contributions to the economy, the Digital India program, and Mobile Application. A new comprehensive framework has been proposed for mobile application adoption by the unorganized retailer after getting insights from theories like Technology Adoption Model (TAM), Extension of Technology Adoption Model (TAM), Technology, Organization and Environment (TOE), and Diffusion of Innovation (DOI). In this research, the author segments three major clusters which influence mobile technology adoption. The three major clusters are Technology, Organization, and Environment. These clusters had 10 constructs that influence mobile technology adoption. This research elaborately discussed the drivers of technology adoption in an unorganized retail context. We close by concluding that mobile application adoption by the unorganized retailer and reshaped the unorganized retail.

An assignment problem (AP) usually deals with how a set of persons/tasks can be assigned to a set of tasks/persons on a one-to-one basis in an optimal manner. It has been observed that balancing among the persons and jobs in several real-world situations is very hard, thus such scenarios can be seen as unbalanced assignment models (UAP) being a lack of workforce. The solution techniques presented in the literature for solving UAP’s depend on the assumption to allocate some of the tasks to fictitious persons; those tasks assigned to dummy persons are ignored at the end. However, some situations in which it is inevitable to assign more tasks to a single person. This paper addresses a practical variant of UAP called k-cardinality unbalanced assignment problem (k-UAP), in which only of persons are asked to perform jobs and all the persons should perform at least one and at most jobs. The k-UAP aims to determine the optimal assignment between persons and jobs. To tackle this problem optimally, an enumerative Lexi-search algorithm (LSA) is proposed. A comparative study is carried out to measure the efficiency of the proposed algorithm. The computational results indicate that the suggested LSA is having the great capability of solving the smaller and moderate instances optimally.

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.

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.