Proper Selection Research Articles

Investigation on tailoring the width and central frequency of bandgaps of TPMS structures

AbstractTriply periodic minimal surfaces (TPMS) lattice structures present outstanding properties such as lightweight, high strength, energy absorption, and wave propagation control, which are extensively investigated in recent years. However, one of the main challenges when designing TPMS is the proper selection of cell type and volume ratio in order to obtain the desired properties for specific applications. To this aim, this work provides a comprehensive numerical study of bandgap’s formation in the sub-2 kHz frequency range for the seven major cell type TPMS structures, including Primitive, Gyroid, Neovius, IWP, Diamond, Fischer–Koch S, and FRD, for a comprehensive range of volume ratios. Results show that these seven TPMS structures present a complete bandgap between the 3rd and 4th dispersion curves. The width of the bandgap is strongly dependent of the TPMS lattice and the widest bandgaps are seen on the Neovius and Primitive-based lattice (reaching a maximum width of 0.458 kHz and 0.483 kHz, respectively) for volume ratios over 0.3. Below this volume ratio, the bandgap of the Primitive structure becomes negligible, and the Neovius and IWP structures are the best candidates among the 7 tested TPMS cases. The central frequency of the bandgaps is less sensitive to the lattice and are predominantly tailored by the volume ratio. With this study, we demonstrate that the proper selection of the periodic cell type and volume ratio can tailor the bandwidth of complete bandgaps from a tens of Hz up to 0.48 kHz, while the central frequency can be selected from 0.72 to 1.81 kHz according to the volume ratio. The goal of this study is to serve as a database for the Primitive, Gyroid, Neovius, IWP, Diamond, Fischer–Koch S, and FRD TPMS structures for metamaterial designers.

Enterprise Systems And Resource Planning To Assit Msmes

This service is about system utilization (enterprise resource planning) in micro, small and medium enterprises (MSMEs) in Indonesia. Applying enterprise resource planning to MSMES can help increase flexibility and integrate entire business processes, such as inventory management, finance, production, and sales. However, the implementation of enterprise resource planning requires mature preparation, including proper selection of suppliers, optimization of internal teams, and preparation of human resources. The research methodology used is a participatory action learning system with the active participation of MSMES stakeholders and enterprise resource planning providers. The implementation process of the ENERPRISE Resource Planning system in MSMES includes the phases of meetings, planning, system design, training, and support, as well as the use of the system in business operations. The implementation steps of the Enterprise Resource Planning system in MSMES include business information documents, functional requirements documents, user acceptance testing, training, and go-live.

Proper selection of personnel for the Security Service of Ukraine as a prerequisite for the career growth of its employees

The current state of national legislation regarding the establishment of a list of requirements for candidates for service in bodies and units of the Security Service of Ukraine has been considered. The achievements of scholars on the essence of personnel selection, career, and labour legal personality of employees have been studied. The peculiarities of the legal personality of employees of the Security Service of Ukraine have been determined.
 The requirements established by national legislation for the candidates to serve in the Security Service of Ukraine and the proper professional selection of the best of them are an important factor in staffing this law enforcement agency with professional employees who will be able to perform their duties efficiently and achieve the results planned by the management. The high-quality performance of the tasks faced by the bodies of the Security Service of Ukraine by its employees directly depends on properly organized labor stimulation, in particular, the possibility of career growth. The latter should be supported by an effective career management system, which is based on ensuring fair career development of employees by assessing their business qualities, performance and authority among colleagues.
 The proposals and recommendations for improving national legislation in terms of establishing a list of requirements for candidates to serve in the bodies and units of the Security Service of Ukraine and career development of its employees have been provided. There is a need to amend Article 19 of the Law of Ukraine “On the Security Service of Ukraine” with the following provisions: first, on the need for candidates to be proficient in Ukrainian at the level determined in accordance with the Law of Ukraine “On ensuring the functioning of Ukrainian as the State language”, and second, on the need to test candidates for service using a polygraph, which will allow for more objective information about the candidate’s past, environment, positive and negative personal qualities. The Law of Ukraine “On the Security Service of Ukraine” should include a separate article entitled “Career in the Security Service of Ukraine”, which should define the term “career in the Security Service of Ukraine” and predict the specifics of a career in the Security Service of Ukraine.

Frameless LINAC-Based Stereotactic Radiosurgery is Safe and Effective for Essential and Parkinsonian Tremor

Stereotactic radiosurgery (SRS) to the thalamus is an ablative technique used for treatment of refractory tremor of essential or Parkinsonian origin. Because of the high dose, small target, and required precision, framed SRS on the Gamma Knife has been the historical platform of choice. We tested our recently developed technique to emulate GK dose distributions on a multi-leaf collimator (MLC)-equipped linear accelerator (LINAC) without cumbersome, inefficient cones in a prospective trial of safety and efficacy. We quantified pre-treatment contralateral tremor according to FTM scoring system. We obtained MPRAGE, FGATIR, DTI, and RS-fMRI sequences. We identified the VIM via classical stereotactic reference location and connectomically, and then targeted it to 135 Gy dmax in a manner dosimetrically roughly equivalent to 4 mm GK shot. We adjusted each target such that the 25 Gy isodose line did not overlap the posterior limb of the capsule. We immobilized patients in a highly rigid thermoplastic mask and delivered treatment on an Edge™ LINAC with HDMLC. Intrafraction optical surface monitoring (OSMS) ensured patient immobility. We surveilled post-treatment imaging and recorded tremor scoring, QOL outcomes, and adverse events. We accrued 42 patients (16 female, 26 males; median age 72.5) over 36 months. 38 had essential tremor, 4 had tremor-dominant Parkinson's; 2 withdrew prior to treatment. Ten patients were on therapeutic anti-coagulation, and were not required to discontinue. At time of submission 39 patients had follow-up ≥ 6 months. 35/39 (89.7%) exhibited clinically meaningful tremor reduction. Mean limb tremor reduction among responders was 43.5% (range: 9 - 100%). Time to patient-reported tremor improvement was 0.3 to 15 months. One patient experienced Gr 3, and 4 patients experienced Gr 1-2 toxicity. MLC-based SRS thalamotomy is safe and effective for refractory tremor treatment. Multidisciplinary management is key for proper patient selection, treatment, and monitoring. Our outcomes appear congruent to historical GK controls as well as more modern MRgFUS outcomes.

Efficient High Temperature PEMFC Metallic Stack

The benefit of high temperature (HT) polymer electrolyte membrane fuel cells (PEMFCs) is very high for high power applications. They can be used in stationary and portable power devices combining the advantages of the PEM type cells (flexibility in dynamic operation, compactness) and high temperature operation (elimination of fuel humidification and carbon monoxide clean up). This work focuses on the development, construction and testing of an efficient all-metallic HT-PEMFC stack with 1kWe power output. The proper polymer electrolytes selection has given the possibility of operating the stack within the range of 160-190oC. The Membrane-Electrode-Assemblies (MEAs) and all of the stack’s components were designed and prepared in-house. There are many parameters that affect the fuel cell stack characteristics and performance such as the materials, components’ design and proper assembly of the stack, as well as the operating conditions. The electrical efficiency of the stack was 50% with power output of 1070 W and a power density of about 0.18 W/cm2 at 180°C under the feed of pure H2. With reformate hydrogen feeds, the stack reached the same performance.

Outcomes following soft tissue reconstruction for thermal hand burns

BackgroundAcute thermal burns can be severe injuries potentially requiring hospitalization and may even lead to limb amputation or permanent disability if not properly addressed. Primary burn reconstruction using flaps has been shown to be an effective method that optimizes tissue preservation, minimizes limb morbidity, and allows for early mobility. Previous studies have demonstrated the dependence of flap survival on several factors such as wound size, location, and specific tissue requirements (weight-bearing vs non-weight-bearing). Proper selection of soft tissue coverage for a wound defect is vital in ensuring adequate healing and recovery. Our objective was to identify whether the choice of flap leads to differences in near-term survival and postoperative complications in patients undergoing burn reconstruction for thermal hand injuries. MethodsRetrospective review was performed of our single institution burn database to identify patients who underwent primary soft tissue reconstruction for thermal hand burns between September 2014 and March 2022. All patients had wound defects with significant depth not amendable to skin grafting alone for coverage. Medical records were reviewed for demographics, injury specifics, treatment details, and post-operative outcomes. ResultsOf all patients admitted to our institution over an 8-year period for burn-related injuries, we identified 17 patients requiring 28 local or regional flaps for reconstruction. All but one flap survived a minimum of two weeks post-operatively with a success rate of 96%. Complications included partial necrosis in 1 flap, full necrosis in the failed flap, dehiscence in 2 flaps, and hematoma in 1 flap. One patient developed a donor site hematoma requiring evacuation, and another developed flap cellulitis treated with IV antibiotics. ConclusionLocal, regional, and distant flaps can reliably be used to salvage exposed tendons and neurovasculature in deep thermal hand burns. Flap success and subsequent outcomes rely heavily on the initial wound and extent of soft tissue injury, with flap type and timing acting as secondary predictors.

Numerical Reconstruction of Proton Exchange Membrane Fuel Cell Gas Diffusion Layers

Stochastic reconstruction is widely employed for effective and flexible imitation of Gas Diffusion Layers (GDLs), e.g., to facilitate the study of their properties. However, the reconstruction often overlooks crucial factors such as fiber curvature, fiber stack arrangement, and fiber anisotropy. Consequently, the impact of these structural characteristics remains poorly understood. In this study, an in-house reconstruction procedure is developed based on the periodic surface model. This procedure enables the generation of GDLs with either straight or curved fibers, layer-by-layer or random arrangement, and different probabilities of through-plane fiber orientation angles. The porosity, domain size, and fiber diameter are extracted from an experimental image-based GDL and utilized as input data for the reconstruction. Furthermore, the different GDLs are compared in terms of pore size distribution and through-plane porosity distribution. It is concluded that introducing proper selections of these fiber features gives the reconstruction more realistic properties.

Scattering characteristics of a perfect electromagnetic conducting cylindrical object covered with a general Bi-isotropic layer

Abstract An analytic theory has been developed for the scattering of electromagnetic plane wave from a perfect electromagnetic conducting (PEMC) cylindrical object coated with a general bi-isotropic (BI) material. The proposed problem has been solved using cylindrical vector wave function expansion approach along with the application of tangential boundary conditions. Analytic expressions of the scattering coefficients have been derived in their simplest forms. It is seen that by proper selection of admittance of PEMC core, electromagnetic parameters of BI coating, and coating thickness, one can optimize the scattering characteristics for specific applications. It is shown that the specific types of BI and strong chiral-coated PEMC cylinders having certain coating thicknesses can be used to significantly enhance the co-polarized forward scattering while keeping the cross-polarized forward scattering very small. Such types of enhanced co-polarized forward scattering are preferred in point-to-point communication. Some interesting features have been discussed where co-polarized and cross-polarized backscattering may be suppressed, which find applications in radar engineering problems and stealth technology.

Cleat-surface Interface and Lower Extremity Injuries

Non-contact injuries with playing surfaces occurring from applied player impact and frictional forces are a major source of lower extremity injuries in competitive sports. Artificial playing surfaces are a common alternative to natural grass surfaces; however, these surfaces are associated with player injury as well. The purpose of this manuscript is to explore the existing literature on the relationship between cleat surface interface and lower extremity injuries in athletes and the importance of proper playing surface conditions alongside proper cleat selection to optimize injury prevention and athletic performance. As artificial turf has become more advanced, studies have shown the rates of lower extremity injuries of the knee, ankle, and foot have decreased to be more similar to the rate of injury on natural grass. However, foot and ankle injury rates remain significantly higher on artificial turf. Furthermore, certain studies continue to demonstrate an increased rate of knee injuries in football players, suggesting that significant performance differences still exist between artificial turf and natural grass. Future studies warrant focusing on ways to improve the cleat-surface interface of new-generation turf, emphasizing proper cleat selection, and playing surface conditions for injury prevention thus optimizing athletic performance.

A Dynamic Reliability Prognosis Method for Reusable Spacecraft Mission Planning Based on Digital Twin Framework

Abstract Reusable spacecraft has great potential in reducing space launch cost. Structural reliability evaluation is critical for mission planning of reusable spacecraft. A dynamic reliability prognosis method based on digital twin framework is proposed for mission planning in the paper. In this method, Uncertainties integration and dynamic model updating are implemented through a dynamic Bayesian network. A maintenance point is set when the predicted structural reliability level is lower than a threshold or unexpected conditions such as landing impact occur. Then, inspected data can be assimilated by the framework to dynamically update the structural reliability. Thus, it supports dynamic adjustment of maintenance interval, early warning of structure failure, and mission planning with quantified risk. A numerical example considering single point crack growth under fatigue load and landing impact of a simplified spacecraft structure is used for demonstration. Results show that the crack size predictions can be calibrated by inspected data and its uncertainties can be reduced. The proper selection of landing impact probability in reliability prediction is helpful to control the maintenance interval. The reliability of the spacecraft can be increased through model updating with new inspected data, representing a potential lifetime extension can be realized by the proposed method.

Fault detection through discrete wavelet transform in overhead power transmission lines

AbstractTransmission lines are a very important and vulnerable part of the power system. Power supply to the consumers depends on the fault‐free status of transmission lines. If the normal working condition of the power system is disturbed due to faults, the persisting fault of long duration results in financial and economic losses. The fault analysis has an important association with the selection of protective devices and reliability assessment of high‐voltage transmission lines. It is imperative to devise a suitable feature extraction tool for accurate fault detection and classification in transmission lines. Several feature extraction techniques have been used in the past but due to their limitations, that is, for use in stationary signals, limited space in localizing nonstationary signals, and less robustness in case of variations in normal operation conditions. Not suitable for real‐time applications and large calculation time and memory requirements. This research presents a discrete wavelet transform (DWT)‐based novel fault detection technique at different parameters, that is, fault inception and fault resistance with proper selection of mother wavelet. In this study, the feasibility of DWT using MATLAB software has been investigated. It has been concluded from the simulated data that wavelet transform together with an effective classification algorithm can be implemented as an effective tool for real‐time monitoring and accurate fault detection and classification in the transmission lines.

On the Prediction of the Mechanical Properties of Limestone Calcined Clay Cement: A Random Forest Approach Tailored to Cement Chemistry

Limestone calcined clay cement (LC3) is a sustainable alternative to ordinary Portland cement, capable of reducing the binder’s carbon footprint by 40% while satisfying all key performance metrics. The inherent compositional heterogeneity in select components of LC3, combined with their convoluted chemical interactions, poses challenges to conventional analytical models when predicting mechanical properties. Although some studies have employed machine learning (ML) to predict the mechanical properties of LC3, many have overlooked the pivotal role of feature selection. Proper feature selection not only refines and simplifies the structure of ML models but also enhances these models’ prediction performance and interpretability. This research harnesses the power of the random forest (RF) model to predict the compressive strength of LC3. Three feature reduction methods—Pearson correlation, SHapley Additive exPlanations, and variable importance—are employed to analyze the influence of LC3 components and mixture design on compressive strength. Practical guidelines for utilizing these methods on cementitious materials are elucidated. Through the rigorous screening of insignificant variables from the database, the RF model conserves computational resources while also producing high-fidelity predictions. Additionally, a feature enhancement method is utilized, consolidating numerous input variables into a singular feature while feeding the RF model with richer information, resulting in a substantial improvement in prediction accuracy. Overall, this study provides a novel pathway to apply ML to LC3, emphasizing the need to tailor ML models to cement chemistry rather than employing them generically.

Improving on in-silico prediction of oral drug bioavailability

ABSTRACT Introduction Although significant development has been made in high-throughput screening of oral drug absorption and oral bioavailability, in silico prediction continues to play an important role in prediction of oral bioavailability and assisting in the proper selection of potential drug candidates. Areas covered This review describes the improvements and latest modeling methods and algorithms available for the prediction of this important parameter. We performed a PubMed database search with a focus on the literature published in the last 15 years. Expert opinion A tremendous efforts have been done in the past several years to develop reliable prediction tools that can provide accurate prediction for oral bioavailability. Several studies demonstrated new methodologies and techniques to develop either web-based in silico predictive tools or integrated PBPK models to predict oral bioavailability for new molecules. Improvements in the databases and the computational power will enhance the in silico prediction accuracy and reliability. Finally, introducing artificial intelligence to the drug development process will help improve the prediction tools.

Dynamic properties of butadiene styrene rubbers with layered silicates

In our study, modification of SBR-1705 butadiene styrene latex using a variety of bentonite clay variants was carried out Among them were domestic sodium bentonite, domestic bentonite pretreated with surfactants (surfactants), as well as organoclays based on foreign layered silicates and also treated with surfactants at the coagulation stage with subsequent rubber release. Further, within the framework of our study, we carried out a detailed comparative study of physical and mechanical properties of rubbers produced using modified butadiene-styrene rubbers. We considered rubbers containing different variants of bentonite, including both domestic origin and imported bentonite. The dynamic properties of these rubbers, including elastic modulus and mechanical loss angle tangent, were analyzed using dynamic thermomechanical analysis (DTMA). The study found that the rubber samples containing PT clay and Cloisite 30B showed a 20% reduction in mechanical loss tangent within the operating temperature range. This indicates an improvement in the mechanical properties of the rubber under a variety of operating conditions. In addition, rubber samples containing imported layered silicates and treated with surfactants exhibited increased strength both before and after thermo-oxidative aging at 150°C. These results emphasize the importance of silicate and surfactant composition selection in developing rubbers with improved mechanical properties and durability. The findings of this study have important implications for industry and academia, emphasizing the role of proper bentonite selection and processing in creating rubbers with optimal performance for a variety of applications

Experimental study on hydro- thermal behavior of journal bearing oil film profile in a slow speed diesel engine

Utilizing universal journal bearing test rig, the performance of a heavy-loaded main journal bearing has been investigated based on tracing operational behavior of oil film temperature and pressure profiles. Test trials were conducted observing the loading program of slow speed diesel engine. Examining the effect of different oil grades, it turned out that oil grade of higher viscosity index enhances journal bearing performance and maintains oil film temperature profile stability at both maximum speeds and heavy loads. Further, medium viscosity grade oil reduces fuel consumption and costs from power production for all operational conditions. Regarding the impact of heavy loads on shaft power performance with medium viscosity oil grade, the differences between optimal and heavy loads get lower as the shaft speed increases. Those were 22 %, 9.7 % and 2.1 % corresponding to the shaft speeds of 43 rpm, 90 rpm and 104 rpm respectively. Additionally, the lower the value of the maximum oil film pressure Pmax difference between optimal and heavy load, the higher the ability of the lubricant to promote performance and provide enhanced operating condition stability. Yet, at part load operating conditions entailing running journal shaft at slow speeds during ship maneuverability, it cannot be considered as the best selection due to the heavy loads often applied in such critical operating conditions. Finally, the test-trial based experimental outcomes can provide useful guidance regarding the proper selection of a lubricant for enhanced performance, cost saving and prolonged journal bearing working life.

Putting into practice a decision-making framework for a thorough performance and location evaluation of solar photovoltaic plants in India from distinctive climate zones

Solar energy utilization has evolved tremendously in many countries to compete with conventional energy sources due to abundant availability, ongoing module price declines, and efficiency gains. Besides these advantages, most solar power plants continue to underperform due to various technical and environmental factors. Some solar projects in India even failed to meet the generation targets. Hence, to achieve sustainable development goals and be future-ready, solar power plants must be sustainably developed for power generation. One should focus on every sustainable aspect before constructing a powerplant, i.e., proper location selection. This study focuses on this problem and considers seven solar photovoltaic plants from different climatic zones in India to compare their performance and location criteria using fuzzy multi-criteria decision-making methods. Fuzzy Stepwise Weight Assessment Ratio Analysis is used to determine the criteria significance, while Fuzzy COmplex PRoportional ASsessment and Fuzzy ELimination Et Choix Traduisant la REalité (ELimination Et Choice Translating REality) are used to rank the seven solar photovoltaic plants. Given solar photovoltaic plants' high initial investment cost, economic criteria precede all other evaluation criteria in assessment, followed by technical, environmental, and connectivity criteria. The social criteria are neglected here because of the minor societal concerns about deploying solar photovoltaic plants. According to the results, the Unchahar solar photovoltaic plant (from the composite climatic zone) outperforms other selected photovoltaic plants and is determined to be the most appropriate plant. This is due to the lowest levelized cost of energy and lowest total cost for the Unchahar solar photovoltaic plant, as these criteria are the most significant per the study. This study's findings will be useful to energy decision-makers and may serve as a reference for constructing and developing future solar plants. Further, this study will make recommendations for future solar photovoltaic plant development. The study also includes sensitivity analysis to determine the data's robustness. This study is very robust, as the normalized alternative is constant for each criterion, and the ranking remains the same.

A tutorial-based survey on feature selection: Recent advancements on feature selection

Curse of dimensionality is known as big challenges in data mining, pattern recognition, computer vison and machine learning in recent years. Feature selection and feature extraction are two main approaches to circumvent this challenge. The main objective in feature selection is to remove the redundant features and preserve the relevant features in order to improve the learning algorithm performance. This survey provides a comprehensive overview of state-of-art feature selection techniques including mathematical formulas and fundamental algorithm to facilitate understanding. This survey encompasses different approaches of feature selection which can be categorized to five domains including: A) subspace learning which involves matrix factorization and matrix projection, B) sparse representation learning which includes compressed sensing and dictionary learning, C) information theory which covers multi-label neighborhood entropy, symmetrical uncertainty, Monte Carlo and Markov blanket, D) evolutionary computational algorithms including Genetic algorithm (GA), particle swarm optimization (PSO), Ant colony (AC) and Grey wolf optimization (GWO), and E) reinforcement learning techniques. This survey can be helpful for researchers to acquire deep understanding of feature selection techniques and choose a proper feature selection technique. Moreover, researcher can choose one of the A, B, C, D and E domains to become deep in this field for future study. A potential avenue for future research could involve exploring methods to reduce computational complexity while simultaneously maintaining performance efficiency. This would involve investigating ways to achieve a more efficient balance between computational resources and overall performance. For matrix-based techniques, the main limitation of these techniques lies in the need to tune the coefficients of the regularization terms, as this process can be challenging and time-consuming. For evolutionary computational techniques, getting stuck in local minimum and finding an appropriate objective function are two main limitations.

Fundamental aspects of phase formation in WC-based cemented carbides containing FeMn-based binders

The hardmetal industry is continuously seeking for (Co, Ni)-free binder alternatives. Several attempts have been made to use FeMn binders, Mn being a very effective austenite stabilizer. Substitution of Co binders for FeMn based binders comes along with many challenges such as: narrow carbon windows, evaporation of Mn during sintering or the formation of stable Mn-oxides. This work presents an overview on the phase formation in hardmetals with different carbon contents prepared from FeMn, FeMnSi and FeMnNi binders. Due to the efficient role of Mn as cementite stabilizer, it was not possible to avoid the presence of eta-carbides and cementite under the conditions studied, and samples with intermediate carbon contents presented both eta-carbides and cementite in the microstructure. Only after the addition of 25 wt% of Ni to the binder it was possible to observe materials with two phase microstructures. The challenges related to Mn evaporation and formation of stable oxides can be overcome by a proper selection of the starting materials and the sintering conditions. It is thus proved that the main challenge posed by these materials is the difficulty to obtain microstructures without detrimental phases.

Modelling the loosening of rock in the experimental rock mining method

Analytical description of the process of rock discontinuity caused by the operation of an experimental cutting head, in which a combination of cutting and loosening methods was used, is presented. Loosening of the rock fragment takes place after reaching the tensile or shear strength of the rock, what is more favourable compared to the classical mining methods. An analytical model of the stress in the crack initiation plane was developed using the models of rock loosening using the disc tools and relationships formulated in fracture mechanism. The special integral of the differential equation of the loosening line was determined by geometric integration. Numerical simulations of the chip loosening were also carried out using the model of the solid rock built using the Finite Element Method. The developed models of losing the rock continuity were used in numerical simulations of loosening the rock fragment to analyze the impact of the selected parameters of the mining technology, of the rock properties and geometrical features of the experimental cutting head, on the shape of the loosening line and its extend. Using the stand test results, the qualitative compliance of the shape of the loosening line, determined using the analytical model and the numerical model, with the geometrical features of the rock chips obtained in the laboratory, was confirmed. It was found that the proper selection of the design features of the cutting head, such as: a small angle of the loosening disc and a small angle of inclination of the head axis, cause a qualitative increase in the loosening range.

Synthesis and Antimicrobial Activities of Salicylaldehyde Schiff Base-Cu(II) Complex and Its Catalytic Activity in N-Arylation Reactions

Salicylaldehyde Schiff base-Cu complex (1:1 [M:L] chelate) was synthesized using salicylaldehyde, urea, and CuCl2. Its catalytic activity was then assessed in N-arylation of aromatic amines (1H-indole, 1H- pyrazole, 1H-imidazole, 1H-benzo[d][1,2,3]triazole, and aniline) with aryl halides. This reaction does not need aryl boronic acids as the active aryl source or palladium-based catalyst. Cu is cheaper than many other catalysts, and required ligands usually having quite simple structure and being inexpensive. On the other hand, with a proper ligand selection we can have a modified solubility, reactivity, and reaction efficiency. The structure and composition of this novel complex were approved by FT-IR, UV-Vis, atomic absorption spectroscopy, elemental analysis, and TGA/DTA. Investigating the antibacterial activity of the Cu complex suggests a significant antibacterial activity against standard species Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus, and Bacillus subtilis.