The Slab Stack Shuffling Problem (SSSP) consists of retrieving slabs, stored in stacks in a warehouse, to efficiently satisfy a processing order. The problem is relevant in the steel industry as the slab yard serves as a storage buffer between the continuous casting stage and the rolling mill. Notably, the SSSP also arises in cutting/assembly centres within the shipbuilding supply chain, where already rolled slabs must undergo further production stages. The different slabs managed in these facilities confer the problem novel practical features, such as the existence of slabs' typologies and deadlines, i.e., a maximum time beyond which their quality certifications expire and are no longer usable. In such a context, the goals of the present paper are twofold: (i) providing a comprehensive taxonomy of the main aspects involved in the problem; (ii) proposing an original mathematical formulation for the SSSP. Specifically, the model is cast as a bi-objective multi-period program, seeking to minimise the number of shuffles and expired slabs. Computational tests on randomly generated instances prove the relevance of the trade-off between the above-mentioned objectives and the impact of the yard's configuration on the retrieval process, suggesting the most suitable storage strategy to adopt under different operational settings.

Using a regioselectivity descriptor known as Fukui indices, this theoretical study examines the reactivity of cycloaddition processes of benzamide (PhCONH2) and chlorocarbonylsulfenyl chloride (ClCOSCl) at the level of base 6-311 G (d. p) by use of the DFT approach. Therefore, the attack of the sulfur atom on nitrogen and carbon on oxygen is kinetically more preferred than the assault of the sulfur atom on oxygen and carbon on nitrogen, as we have observed from our study. The electrophilic Δω difference between chlorocarbonylsulfenyl chloride and benzamide is 1.3726 eV. This indicates that the reaction under investigation has a polar nature (Δω > 1). on oxygen and carbon on nitrogen, as we have observed from our study. We have also studied the stereoselectivity and feasibility of these reactions from a thermodynamic and orbital point of view. The transition states of this reaction have been determined.

This study took the Human Capital Theory as a theoretical perspective to empirically investigate the role of supervisors' supervision in moderating the effect of professionalism and creativity on the performance of public high school teachers in Pekanbaru. The research respondents were 144 teachers, the data were processed using the PLS Structural Equation Modeling (SEM). The study proposed supervisors' supervision as a strategy to improve teacher performance. The results of the study show that professionalism and creativity affect teacher performance—supervisors' supervision plays a role in strengthening teacher performance. These results strengthen the Human Capital Theory stating that a combination of knowledge, skills, innovation, and a person's ability to carry out their duties can create value to achieve goals.

Oxadiazoles, a class of nitrogen-containing heterocycles, exhibit diverse applications in pharmaceuticals, industry, and other fields. This study employs Density Functional Theory (DFT) to investigate the structural, electronic, and spectroscopic properties of four oxadiazole isomers. The B3LYP functional and the 6-311G(d,p) basis set were used for calculations. Frontier orbital energies, energy gap, chemical reactivity descriptors, dipole moment, and thermodynamic properties were computed. Additionally, IR and UV spectra were analyzed. The results indicate significant variations in electronic and thermodynamic properties among the isomers. Isomer 4 demonstrated the highest stability and electrophilicity. The calculated IR and UV spectra were compared with available experimental and theoretical data. The study provides valuable insights into the structural and reactivity trends within the oxadiazole family, contributing to a deeper understanding of their potential applications.

One of the problems students often face is the lack of understanding of their interests and talents which will cause confusion in making future study choices and career plans. Career selection is an expression of personality into the world of work followed by identification of certain occupational stereotypes. Eight intelligences according to dr. Howard Gardner is linguistic, logical, mathematical, visual spatial, musical, kinesthetic, interpersonal, intrapersonal, and naturalist. This research purpose is to develop a system that produces information and professional recommendations that are in accordance with multiple intelligences of prospective high school students using a combination of Bayes' theorem and weighted product (WP) method. User’s preference value is calculated using the Bayes Theorem method to give each multiple intelligence value which is a criterion. WP method calculation to find professions that match user preferences. Weight of each criterion needed in WP method is calculated by Rank Order Centroid method. WP calculation will produce a ranking of 3 professions according to the input from the user. From system testing results that compared to results from experts, an accuracy of 67.33% is obtained. Based on the accuracy value, it can be said that the accuracy level system is quite good.

In practical scheduling problems, some factors such as depreciation cost, green costs like the amount of energy consumption or carbon emission, other resources consumption, raw material cost, etc., are not explicitly related to the machine processing times. Most of these factors can be generally considered as machine costs. Considering the machine cost as another objective alongside the other classical time-driven decision objectives can be an attractive work in scheduling problems. However, this subject has not been discussed thoroughly in the literature for the case the machines have fixed processing costs. This paper investigates a general unrelated parallel machine scheduling problem with the machine processing cost. In this problem, it is assumed that processing a job on a machine incurs a particular cost in addition to processing time. The considered objectives are the makespan and the total cost, which are minimized simultaneously to obtain Pareto optimal solutions. The efficacy of the mathematical programming approach to solve the considered problem is evaluated rigorously in this paper. In this respect, a multiobjective solution procedure is proposed to generate a set of appropriate Pareto solutions for the decision-maker based on the mathematical programming approach. In this procedure, the ϵ-constraint method is first used to convert the bi-objective optimization problem into single-objective problems by transferring the makespan to the set of constraints. Then, the single-objective problems are solved using the CPLEX software. Moreover, some strategies are also used to reduce the solution time of the problem. At the end of the paper, comprehensive numerical experiments are conducted to evaluate the performance of the proposed multiobjective solution procedure. A vast range of problem sizes is selected for the test problems, up to 50 machines and 500 jobs. Furthermore, some rigorous analyses are performed to significantly restrict the patterns of generating processing time and cost parameters for the problem instances. The experimental results demonstrate the mathematical programming solution approach's efficacy in solving the problem. It is observed that even for large-scale problems, a diverse set of uniformly distributed Pareto solutions can be generated in a reasonable time with the gaps from the optimality less than 0.03 most of the time.

A series of new compounds, Substituted 2-((2H-benzo[d][1,2,3]triazol-2-yl)thio)-N'-(2-oxoindolin-3-ylidene)acetohydrazide (3a-3g), 2-((2H-benzo[d][1,2,3]triazol-2-yl)thio)-N-(2,4'-dioxospiro[indoline-3,2'-thiazolidin]-3'yl)acetamide (4a-4g), and 2'-(((2H-benzo[d][1,2,3]triazol-2-yl)thio)methyl)spiro[indoline-3,5'-thiazolo[4,3-b][1,3,4]oxadiazol]-2-one (5a-5g), were synthesized and checked for their anti-inflammatory, analgesic, and antibacterial activities. Compound 5d proved to be the most potent anti-inflammatory and antibacterial agent. The analgesic activity, however, was maximum in compound 5e. The structural integrity of the synthesized compounds was ascertained using elemental analysis, infrared spectroscopy (IR), and proton nuclear magnetic resonance spectroscopy (¹H NMR).

Consumer awareness is one where the buyer could take the right decision in purchasing all types of product. Marketers in view of earning profit, neglect the interest of the consumers and this leads to exploitation of the buyers. To investigate the current scenario, this study focused on the consumer awareness in the urban and rural area towards the Fast Moving Consumer Goods (FMCG) along with the exploitation if any that existed in the market. For this purpose, 557 consumers who were using FMCG products residing in the western region of Tamilnadu were selected through cluster sampling followed by simple random sampling. To meet out the objectives, various statistical tools through SPSS 21 were applied and the result revealed that all the constructs like communication, price, labeling, promotion and unfair trade practices, if any remarkably influencing the consumer awareness. Also, labeling has a noteworthy mediating role between consumer awareness and satisfaction. But there existed a direct negative effect of consumer awareness on the satisfaction. It is suggested that marketers need to focus to fulfill all the rights of the consumers as detailed in the consumerism.

Automated guided vehicle (AGV) is widely used in automated manufacturing systems as a material handling tool. Although the task scheduling problem with isomorphic AGV has remained a very active research field through the years, too little work has been devoted to the task scheduling problems with heterogeneous AGVs. A coupled task with heterogeneous AGVs is a complex task that needs the cooperation of more than one type of AGVs. In this paper, a manufacturing system with two types of AGVs and three types of tasks is studied. To solve the coupled task scheduling problem with heterogeneous AGVs in this manufacturing system, we introduce two new methods based on the established mathematical model, namely, the decoupled scheduling strategy and coupled scheduling strategy with multi-decision model. The decoupled scheduling strategy is widely used in coupled task scheduling problems. However, there are some situations that the decoupled scheduling strategy cannot solve the problem well. To overcome the problem, the multi-decision point model solves the coupled task scheduling problem without decomposition. In order to ensure the searching speed and searching accuracy, a novel hybrid heuristic algorithm based on simulated annealing algorithm and tabu search algorithm is developed. The simulation experiment results show the proposed coupled scheduling algorithm has priority in coupled task scheduling problems.

A series of 6-(Aryl)-4-[4-(2,4-dichlorophenylmethoxy)-3-methoxyphenyl]-2,3,4,5-tetrahydro-indazol-3-one derivatives (3a-3i) have been synthesized by refluxing of previously synthesized Ethyl-4-(aryl)-6-[4-(2,4-Dichlorophenylmethoxy)-3-methoxyphenyl]-2-oxo-cyclohex-3-eneoates (2a-2i) with hydrazine hydrate in methanol for 7-8 hours in presence of catalytic amount of glacial acetic acid. The analytical and physical data of all the synthesized compounds (2a-2i) and (3a-3i) were observed and reported. The structures of each newly synthesized Indazole derivative have been characterized by various methods like Elemental analysis, Infrared spectroscopy, 1H-NMR and 13CMR spectroscopy and Mass spectroscopy. Furthermore, each compound was screened for its in-vitro antibacterial activity towards Gram-positive and Gram-negative bacterial strains and antifungal towards fungi Aspergillus niger (A. niger) and Candida albicans (C. albicans) with the concentration of 40 μg/ml and data was collected.