Aspects Of Industry Research Articles

Approach to Design of Piezoelectric Energy Harvester for Sensors on Electric Machine Rotors

The reliability and efficiency of components are key aspects in the automotive industry. Electric machines become the focus of development. Thus, improvements in efficiency and reliability have gained significance. While it is established to attach sensors to the fixed parts of machines, such as stators, moving parts like rotors pose a major challenge due to the power supply. Piezoelectric generators can operate as energy harvesters on rotors and thus enable the rotor-based integration of sensors. The research in this article proposes the first approach to the design of a piezoelectric energy harvester (PEH) for an electric machine rotor dedicated to powering a wireless sensor system. After introducing the field of PEHs, the integration of the proposed device on a rotor shaft is presented. Further, a gap between the provided and needed data for the design of a PEH is identified. To overcome this gap, a method is presented, starting with the definition of the rotor shaft dimensions and the applied mechanical loads, including a method for the calculation of the imbalance of the rotor. With the first set of dimensions of the shaft and PEH, a co-simulation is performed to calculate the power output of this rotor and PEH set. The results of the simulation indicate the feasible implementation of the PEH on the rotor, providing enough energy to power a temperature sensor.

Unravelling the Bi-Functional Electrocatalytic Properties of {Mo72Fe30} Polyoxometalate Nanostructures for Overall Water Splitting Using Scanning Electrochemical Microscope and Electrochemical Gating Methods.

This study reports the use of Keplerate-type {Mo72Fe30} polyoxometalate (POMs) nanostructures as a bi-functional-electrocatalyst for HER and OER in an alkaline medium with a lower overpotential (135mV for HER and 264mV for OER), and excellent electrochemical stability. The bi-functional catalytic properties of {Mo72Fe30} POM are studied using a scanning electrochemical microscope (SECM) via current mapping using substrate generation and tip collection mode. Furthermore, the bipolar nature of the {Mo72Fe30} POM nano-electrocatalysts is studied using the electrochemical gating via simultaneous monitoring of the electrochemical (cell) and electrical ({Mo72Fe30} POM) signals. Next, a prototype water electrolyzer fabricated using {Mo72Fe30} POM electrocatalysts showed they can drive 10mAcm-2 with a low cell voltage of 1.62V in lab-scale test conditions. Notably, the {Mo72Fe30} POM electrolyzers' performance assessment based on recommended conditions for industrial aspects shows that they require a very low overpotential of 1.89V to drive 500mAcm-2, highlighting their promising candidature toward clean-hydrogen production.

Outstanding performance of flower-like NiO nanostructures in epoxied soybean oil-based polyurethane nanocomposite coatings: Investigation of anticorrosion and antibacterial properties

Nowadays, nanocomposite coatings have gained much attention from both academic and industrial aspects mainly because of the outstanding properties which they can offer simultaneously. Specifically, anti-corrosion properties can make them one of the best choices to solve destructive corrosion problems. Nickel oxide (NiO) nanoparticles have been synthesized to create these outstanding properties in vegetable oil-based polyurethane coatings. To this end, epoxidized soyabean oil was utilized to synthesize polyol and produce polyurethane coatings, and NiO nanoparticles were incorporated into the obtained coatings. The obtained coatings were evaluated through the FTIR, H NMR, and FESEM techniques and their performance in terms of water uptake, anticorrosion and antibacterial properties were investigated. The obtained results clearly showed that the presence of NiO nanoparticles has had an undeniable effect on the performance of the coating in protecting mild steel substrate against corrosion. Moreover, using these nanoparticles has created remarkable antibacterial properties in the coating besides improved mechanical performance compared to pure polyurethane coating.

IS INDIA READY FOR SUSTAINABLE FASHION

Sustainable fashion has emerged as a crucial global movement in response to the environmental and social challenges posed by the fashion industry. With India being a significant player in the global textile and apparel market, it is pertinent to evaluate its readiness to embrace sustainable fashion practices. This research paper aims to analyse various aspects of India's fashion industry, including its current state, challenges, initiatives, and future prospects concerning sustainability. Through a thorough examination of existing literature, policies, and industry practices, this paper provides insights into India's readiness for sustainable fashion and proposes recommendations for fostering its adoption. KEYWORDS: Sustainable fashion, India, textile industry, environmental impact, social responsibilit

Perbandingan Skor Prediksi dalam Pembelajaran Mesin pada Keselamatan Penumpang Kapal

Passenger safety is an important aspect of the shipping industry, and precise predictions of emergencies and safety situations can provide great advantages in managing risks at sea. Precise prediction of emergency and safety situations can provide great advantages in managing risks at sea. This research involves collecting and analyzing historical data on ship accident incidents and their influencing factors. Machine learning methods, such as logistic regression, KNN, Naïve Bayes Classifier, Decision Tree, Random Forest, etc. will be used to identify patterns in the data that can be used to predict ship passenger safety. The data used in this study includes variables such as weather, ship state, number of passengers, and other relevant factors. The research data was taken from titanic passengers. The results of this study resulted in a model that is suitable for predicting the safety of ship passengers, namely the random forest model and decision tree getting the highest score compared to other models, the prediction score is 84.29%.

Measurement of liquid viscosity using quartz crystal microbalance (QCM) based on GA-BP neural network.

Sensor technology plays a pivotal role in various aspects of the petroleum industry. The conventional quartz crystal microbalance (QCM) liquid-phase detection method fails to discern the viscosity and density of solutions separately, rendering it incapable of characterizing the properties of unknown liquid solutions. This presents a formidable challenge to the application of QCM in the petroleum industry. In this study, we aim to assess the feasibility of exclusively utilizing a single QCM sensor for liquid viscosity measurements. Validation experiments were conducted, emphasizing the influence of temperature and solution concentration on the viscosity measurement results. The results indicate that the QCM liquid viscosity response model can achieve viscosity measurements in the temperature range of 20 to 60 °C and concentration range of 10%-95% glycerol solution using a single QCM, with a maximum error of 7.32%. Simultaneously, with the objective of enhancing the model's measurement precision, as an initial investigation, we employed a backpropagation neural network combined with genetic algorithm (to optimize the measurement data. The results demonstrate a substantial improvement in the measurement accuracy of the QCM sensor, with a root mean square error of 3.89 and an absolute error of 3.07% in predicting viscosity values. The purpose of this research was to extend neural networks into the evaluation system of QCM sensors for assessing the viscosity properties of liquid in the oil industry, providing insights into the application of QCM sensors in the petroleum industry for viscosity measurement and improving measurement accuracy.

Potensi Daya Tarik Gastronomi Wisata Kuliner sebagai Faktor Kunci dalam Mengembangkan Pariwisata Kuliner Pempek 26 Ilir Palembang

Gastronomy tourism is an important aspect of the tourism industry which is able to attract the attention of visitors from various corners of the world. One of the special foods that stands out in Palembang is pempek, especially Pempek 26 Ilir. This research aims to reveal the potential gastronomic of Pempek 26 Ilir Palembang as the main attraction for tourists. The theories used are Symbolic Communication Theory and Tourist Experience Theory. The research method used involved surveys, interviews, and direct observation of visitors and owners of pempek culinary businesses in the Pempek 26 Ilir area. The research results show that Pempek 26 Ilir has a strong appeal in various gastronomic aspects. The unique taste and texture of pempek, as well as the variety of cuko (gravy) and accompaniments, make visitors come back again to enjoy this dish. Apart from that, the local culinary potential and the pempek raw materials quality are also added value to the culinary experience. The comfortable atmosphere of the stall, the closeness between the owner and visitors, as well as various special promotional programs also enrich the gastronomic experience of tourists. The potential gastronomic attraction of Pempek 26 Ilir Palembang can be a basis for related parties to develop and promote culinary tourism in Palembang. Thus, it can increase tourist visits and contribute to the local economy.

Luxury Car Data Analysis: A Literature Review

The concept of luxury, considering it a rare and exclusive attribute, is evolving due to technological advances and the increasing influence of consumers in the market. Luxury cars have always symbolized wealth, social status, and sophistication. Recently, as technology progresses, the ability and interest to gather, store, and analyze data from these elegant vehicles has also increased. In recent years, the analysis of luxury car data has emerged as a significant area of research, highlighting researchers’ exploration of various aspects that may differentiate luxury cars from ordinary ones. For instance, researchers study factors such as economic impact, technological advancements, customer preferences and demographics, environmental implications, brand reputation, security, and performance. Although the percentage of individuals purchasing luxury cars is lower than that of ordinary cars, the significance of analyzing luxury car data lies in its impact on various aspects of the automotive industry and society. This literature review aims to provide an overview of the current state of the art in luxury car data analysis.

CURRENT STRATEGIES FOR THE USE OF ACTIVE PACKAGING IN FOOD PRODUCTS

Food quality and safety is one of the most important aspects of the food industry. One of the key factors to ensure food safety is packaging. Increasing number of food packaging materials is creating a demand for promoting products and brands that are safe for consumption. Food spoilage due to poor quality packaging causes huge loss not only to businesses but also to consumers. Despite the effectiveness of existing practices, retailers still face many challenges, including the materials used and their possible interaction with food. In addition, the transfer of harmful materials from packaging materials to food is still an issue. It is important to use the right material for the right type of product. This review discusses the recent research on the application of active packaging used in various types of food packaging to enhance the safety performance and shelf life of various food products by using antifungal peptides, ethanol and plant extracts. This is in response to consumer demand for preservative-free products as well as more natural, disposable, biodegradable and recyclable food packaging materials.

Impact of Industry 4.0 Technologies on Sustainable Manufacturing

Industry 4.0 (I4.0) and its associated technologies are increasingly becoming a key aspect of the manufacturing industry in an age where sustainable manufacturing has become a fundamental consideration. Despite Industry 4.0 technologies such as robotics, autonomous systems and Internet of Things (IoT) considered dominant enablers of sustainable manufacturing, the precise impact of these technologies on sustainability remains relatively unexplored as the research in this context remains limited. Therefore, the need for meticulous study and the development of a framework for the assessment of I4.0 technologies’ impact towards enhancement of sustainable manufacturing is evident. The report contains an extensive literature review on several I4.0 technologies, the Triple Bottom Line (TBL) aspects of sustainability and how the respective I4.0 technologies impact the factors contributing to the TBL aspects of sustainability. Through a combination of theoretically available information and practical case studies in the Sri Lankan manufacturing industry, a conclusive framework is developed on how the implementation of the identified Industry 4.0 technologies contribute to achieving holistic sustainability across the Triple Bottom Line aspects. Additionally, through further study and multiple-criteria decision analysis methods, the most sustainably impactful technologies are determined with regards to the manufacturing industry. KEYWORDS: Industry 4.0, Sustainable Manufacturing, Impact of Industry 4.0, Sustainability, Triple Bottom Line

Building Information Modeling (BIM), Blockchain, and LiDAR Applications in Construction Lifecycle: Bibliometric, and Network Analysis

Investigating Industry 4.0 technologies and studying their impacts on various aspects of the construction industry, including stakeholders and the lifecycle, is vital to enhance novel applications of such technologies in an industry that is known as Construction 4.0. The main objective of the current state-of-the-art review is to provide a comprehensive literature review on three widely used Industry 4.0 technologies, Building Information Modeling (BIM), Blockchain, and LiDAR, which have strong potential to promote and optimize different activities of the project, and also, the integration of them can greatly impact the construction industry in the whole project lifecycle. A bibliometric analysis of keyword co-occurrence and citations revealed a significant number of publications from 2014 to 2023 investigating the selected technologies. Recent trends indicate that the majority of papers have considered the selected technologies in the integration with each other. However, a specific gap exists in the literature regarding the interactions and potential synergies among these technologies. This gap limits the understanding of how these integrations can address challenges unique to the construction industry and hinders the development of comprehensive solutions. The review has been analyzed and discussed in reference to the type of article, single or multi technologies, the lifecycle, and their applications. The study showed that the integration of BIM, Blockchain, and LiDAR, as a recent trend and as a beneficial solution to automate the whole construction process, has considerable capacities to improve the productivity of the construction industry. Finally, some application areas for the integration of these three technologies are concluded and are suggested, and therefore, an advantageous reference has been provided for scholars to plan their future research in this sector.

Industrial Distillation Aspects of Diketene.

Large-scale distillation is a challenge in many respects. Particularly difficult is the purification by distillation of a compound with limited thermal stability. This article describes various aspects of these difficulties with some possible solutions. Special emphasis is placed on the collaboration of different disciplines to find pragmatic solutions to these challenges. The purification of diketene in quantities of several 1000 ta-1 is an excellent example to illustrate the different requirements. Although the distillation of diketene has been carried out by several companies for many years, there are still some aspects that deserve special attention.

Predicting Surface Roughness in Turning Complex-Structured Workpieces Using Vibration-Signal-Based Gaussian Process Regression.

Surface roughness prediction is a pivotal aspect of the manufacturing industry, as it directly influences product quality and process optimization. This study introduces a predictive model for surface roughness in the turning of complex-structured workpieces utilizing Gaussian Process Regression (GPR) informed by vibration signals. The model captures parameters from both the time and frequency domains of the turning tool, encompassing the mean, median, standard deviation (STD), and root mean square (RMS) values. The signal is from the time to frequency domain and it is executed using Welch's method complemented by time-frequency domain analysis employing three levels of Daubechies Wavelet Packet Transform (WPT). The selected features are then utilized as inputs for the GPR model to forecast surface roughness. Empirical evidence indicates that the GPR model can accurately predict the surface roughness of turned complex-structured workpieces. This predictive strategy has the potential to improve product quality, streamline manufacturing processes, and minimize waste within the industry.

Research on the path to enhance the cultural communication literacy of Thai international Chinese language teachers

With the rapid development of global integration, new requirements have been put forward for the content of communication and cooperation among countries. Since the 1990s, China's comprehensive strength has continued to develop rapidly and has become an indispensable and important country in the global development process. With China's increasing international status and close cooperation with countries around the world in multiple fields, each country has a strong demand for learning Chinese, which has prompted China's Chinese language and culture to enter a new stage of high-quality development. Language is a bridge of communication that can promote the integration and development of international culture, industry, and other aspects. International Chinese language teachers play a particularly important role in the dissemination of Chinese language and literature. Therefore, it is necessary to develop a standardized framework and model for cultivating the ability elements of international Chinese language teachers based on guidance and goals, in order to promote sustainable development. This study uses literature review, interview methods, and mathematical statistics to investigate some international Chinese language teachers who have traveled from China to Thailand. The PDCA cycle theory is used to establish a development path centered on "current situation analysis, innovation path, path evaluation, and continuous improvement", exploring the difficulties and difficulties in improving the cultural communication literacy ability of Thai international Chinese language teachers, Targeted optimization and development paths should be proposed: (1) Reasonable goals and development ideas for cultivating the ability elements of international Chinese language teachers should be formulated based on the actual situation of Thai Chinese language learning, exploring deep internal motivation and logical relationships, and improving the framework for cultivating ability elements based on the elements of communication. (2) In the specific implementation process, specific indicators for cultivating ability elements should be clearly defined to strengthen standardization. Targeted training should be conducted based on relevant indicators. (3) Targeted ability element training standards should be developed for Chinese language teachers based on the actual environment, needs, and theoretical foundation of international communication in Thai Chinese language learning. Fourthly, explore diversified cultural communication methods and development path choices, improve the comprehensive ability of Thai international Chinese language around the elements of global communication, and continuously optimize the curriculum system and teaching content. (4) We should improve the evaluation and feedback system, establish clear management systems and development plans for each stage, and promote excellent culture and concepts in a healthy manner. In the specific implementation process, being good at identifying and proposing problems, and combining practical experience to fully solve problems, can help promote deep development.

BPM challenges, limitations and future development directions – a systematic literature review

PurposeThe aim of this paper is to identify the main challenges and limitations of current business process management (BPM) development directions noticed by researchers, as well as to define the areas of the main BPM paradigm shifts necessary for the BPM of tomorrow to meet the challenges posed by Industry 4.0 and the emerging Industry 5.0. This is extremely important from the perspective of eliminating the existing broadening gap between the considerations of academic researchers and the needs of business itself.Design/methodology/approachA systematic literature review was conducted on the basis of the resources of two digital databases: Web of Science (WoS) and SCOPUS. Based on the PRISMA protocol, the authors selected 29 papers published in the last decade that diagnosed the challenges and limitations of modern BPM and contained recommendations for its future development. The content of the articles was analyzed within four BPM core areas.FindingsThe authors of the selected articles most commonly point to the areas of organization (21 articles) and methods and information technology (IT) (22 articles) in the context of the challenges and limitations of current BPM and the directions of recommended future BPM development. This points to the prevalence among researchers of the perspective of Industry 4.0 – or focus on technological solutions and raising process efficiency, with the full exclusion or only the partial signalization of the influence of implementing new technologies on the stakeholders and in particular – employees, their roles and competencies – the key aspects of Industry 5.0.Research limitations/implicationsThe proposal of BPM future development directions requires the extension of the BPM paradigm, taking into account its holistic nature, especially unpredictable, knowledge-intensive business processes requiring dynamic management, the need to integrate BPM with knowledge management (KM) and the requirements of Industry 5.0 in terms of organizational culture. The limitation is that the study is based on only two databases: WoS and SCOPUS and that the search has been narrowed down to publications in English only.Practical implicationsThe proposal of BPM future development directions also requires the extension of the BPM paradigm, taking into account the specific challenges and limitations that managers encounter on a daily basis. The presented summaries of the challenges and limitations resulting from the literature review are accompanied by recommendations that are primarily dedicated to practitioners.Social implicationsThe article indicates the area people and culture as one of the four core areas of BPM. It emphasizes the necessity to account to a greater degree for the influence of people, their knowledge, experience and engagement, as well as formal and informal communication, without which it is impossible to use the creativity, innovativeness and dynamism of the individual and the communities to create value in the course of business process execution.Originality/valueTo the authors' knowledge, this is the first systematic review of the literature on the limitations of modern BPM and its future in the context of Industry 4.0 and Industry 5.0.

The Effectiveness of Utilizing the Fabric Order Information System at PT Ateja Tritunggal Using the PIECES Method

The development of information technology has brought significant impacts to the business world, including the manufacturing industry. One important aspect in the textile industry is the production of fabric orders. PT Ateja Tritunggal also faces challenges in managing the fabric order information system. The PIECES (Performance, Information, Economy, Control, Efficiency, and Service) method framework is a framework used for classifying problems, opportunities, and directions within the scope of system analysis and design definitions. This study aims to analyze the effectiveness of fabric order production at PT Ateja Tritunggal using the PIECES method. This research uses quantitative methods and data collection techniques through a survey using questionnaires conducted using Google Forms media to all personnel in the PPIC (Planning Product Inventory Control) department at PT Ateja Tritunggal. The test results showed that the information system running at PT Ateja Tritunggal falls into the good category, but there is a need for improvement so that all business processes can run more effectively and properly.

Identifying the Scope of Cybersecurity Research Conducted in the Maritime Industry: 2003 - 2023

The maritime industry plays a pivotal role in the modern economy, global trade, safety and transportation globally. Due to the rapid advancement and utilisation of technology in the field, the maritime industry is increasingly vulnerable to cybersecurity threats. The last decade saw many instances of infrastructure having been exploited or attacked, such as the maritime vessels themselves, the port infrastructure and the supply chain. Each component constituting the maritime industry requires unique system critical operations to ensure cybersecurity, however this paper focuses on certain aspects of the maritime industry only. As cybersecurity in the maritime industry is a growing field, this study determines the scope of cybersecurity research on maritime infrastructure which has been published to establish a baseline understanding of the current field. The paper presents the results from a systematic literature review conducted to assess the scope of current cybersecurity work published focusing on the maritime industry. The result from the study clearly shows the increased attention to cybersecurity in the maritime industry, which can be seen from the increased number of publications which showed a sharp increase after 2014.

The Revolution in the Tourism Landscape in Sylhet, Bangladesh

This research delves into the impact of the COVID-19 pandemic on the tourist geographies of the Sylhet region in Bangladesh, a pivotal area for the country's economic growth and development. Through qualitative analysis, including interviews and secondary data, the study reveals the severe consequences of the pandemic on various aspects of the tourism industry, such as job losses, economic downturns, and disruptions to businesses. The findings underscore the significant challenges faced by both formal and informal stakeholders in Sylhet's tourism sector, highlighting the need for comprehensive policies and strategies to mitigate the pandemic's effects and foster sustainable tourism recovery. Despite the setbacks, the study identifies opportunities for revitalizing Sylhet's tourism landscapes through concerted efforts in infrastructure development, service enhancement, and stakeholder collaboration, ultimately advocating for a resilient approach to navigating the complexities of the post-pandemic tourism landscape.

Environmental, industrial, and health benefits of Moringa oleifera

AbstractThe rise of air, water, and soil pollution poses a significant threat to global health, leading to widespread disease and premature mortality. Soil health is vital, ensuring the production of safe food, but it is compromised by pollutants such as heavy metals, pesticides, plastics, and excessive fertilization, resulting in the depletion of beneficial microorganisms and subsequently groundwater contamination. Water bodies are polluted due to contamination from industrial effluents, domestic wastewater, agricultural runoff, and oil spillage, further intensifying environmental pollution. On the other hand, atmospheric pollution, characterized by high emissions of gases, volatile compounds, greenhouse gases, not only impacts the climate but also poses serious risks to human health, leading to respiratory diseases, cardiovascular issues, and increased cancer risks. Thus, the strategic utilization of traditional plants emerges as a potent tool for environmental restoration and improving human health. The plants possess natural filtering capabilities, absorbing pollutants from air, soil, and water, thus mitigating their adverse effects. Through phytoremediation, plants can be actively used to extract and remove contaminants, contributing to detoxification and improving water and soil quality. Additionally, plants offer various health benefits. Moringa oleifera or the drumstick plant belonging to the Moringaceae family is one such indigenous plant with wide applications, that can be grown in extreme arid conditions. Since ancient times, this plant has been used for treating skin infections, anaemia, and blood impurities. This plant thrives in diverse climates addressing over 300 different aliments. Rich in phytochemicals and bioactive compounds, M. oleifera serve as a superfood, offering high nutritional values and exhibiting potential for drug development with fewer side effects. Extensive research has elucidated the diverse properties and applications of M. oleifera, however, in-depth research is needed to identify bioactive molecules, phytochemicals, and protein compounds involved, which will aid in understanding of the mechanisms of action of the plant's diverse functions. Although studies have reported several of individual M. oleifera attributes, there is no comprehensive study available addressing its diverse applications. This review covers the findings of past three decades and provides a detailed outline of M. oleifera plant and its various parts, its applications in environmental, industrial, food and health aspects documented to date.

Chemical Profiling and Biological Activities on Nepalese Medicinal Plant Extracts and Isolation of Active Fraction of Nyctanthes arbor-tristis.

The importance of medicinal plants for the treatment of different diseases is high from the aspects of the pharmaceutical industry and traditional healers. The present study involves nine different medicinal plants, namely, Neolamarckia cadamba, Nyctanthes arbor-tristis, Pogostemon benghalensis, Equisetum debile, Litsea monopetala, Spilanthes uliginosa, Desmostachya bipinnata, Mallotus philippensis, and Phoenix humilis, collected from Chitwan district of Nepal for biochemical analysis followed by the isolation of active plant fractions from the bioactive plant extract. The methanolic extracts of roots, barks, seeds, seed cover, and the other aerial parts of plants were used for the phytochemical analysis and biological activities. The DPPH (2,2-diphenyl-1-picrylhydrazyl) free radical scavenging assay was adopted to evaluate the antioxidant activity. Antibacterial activity was evaluated using the agar well diffusion method. The antidiabetic activity was studied by the α-amylase enzyme inhibition assay. The highest antioxidant activity was observed in extracts of Nyctanthes arbor-tristis followed by Mallotus philippensis (seed cover), Pogostemon benghalensis, Litsea monopetala, Phoenix humilis, and Neolamarckia cadamba with IC50 values of 27.38 ± 1.35, 32.08 ± 2.81, 32.75 ± 2.13, 33.82 ± 1.07, 40.14 ± 0.93, and 50.44 ± 3.75 µg/mL, respectively. The highest antidiabetic activity was observed in extracts of Phoenix humilis followed by Desmostachya bipinnata and Pogostemon benghalensis with IC50 values of 95.69 ± 6.97, 99.24 ± 12.6, and 106.3 ± 12.89 µg/mL, respectively. The mild α-amylase enzyme inhibition was found in extracts of Nyctanthes arbor-tristis, Spilanthes uliginosa Swartz, Litsea monopetala, and Equisetum debile showing IC50 values of 110.4 ± 7.78, 115.98 ± 10.24, 149.83 ± 8.3, and 196.45 ± 6.04 µg/mL, whereas Mallotus Philippensis (seed cover), Mallotus philippensis (seed), and Desmostachya bipinnata showed weak α-amylase inhibition with IC50 values of 208.87 ± 1.76, 215.41 ± 2.09, and 238.89 ± 9.27 µg/mL, respectively. The extract of Nyctanthes arbor-tristis showed high zones of inhibition against S. aureus (ATCC 25923) and E. coli (ATCC 25922) of ZOI 26 and 22 mm, respectively. The chemical constituents isolated from the active plant Nyctanthes arbor-tristis were subjected to GCMS analysis where the major chemical compounds were 11,14,17-eicosatrienoic acid and methyl ester. These results support the partial scientific validation for the traditional uses of these medicinal plants in the treatment of diabetes and infectious diseases by the people living in different communities of Chitwan, Nepal.