Web Information Research Articles

PPM BENGKEL DAN TOKO SEPEDA DESTROYER BIKE KOTA SURABAYA

Destroyer Bike Founded in 2020 by Mr. Ario Zanuar, a spare part sales service business and bicycle service workshop based on Jl. Medokan Semampir Indah, Surabaya City, East Java, Indonesia. Mr. Ario Zanuar started working in the bicycle repair business since the 2020 pandemic, with a focus on servicing folding bicycles, mountain bicycles, hybrid bicycles, call bicycles and fixie bicycles. In the first year, Destroyer Bike focused on on-site or in-store bicycle services only. However, over time, call services have gradually developed. The problem with this partner is the high competition in the bicycle spare part sales industry and bicycle repair shops which are quite competitive, especially in densely populated areas such as the city of Surabaya, so they need to compete with other bicycle repair shops. The second problem is the workshop service equipment which is still incomplete, due to the condition of the workshop which has just been started. The next problem is seasonality and fluctuations in demand in the bicycle repair business can vary depending on the season. Summer usually has higher demand as many people use bicycles for exercise or to cycle to work. However, in winter or bad weather, demand for bicycles decreases, while demand for bicycle repair services increases. Based on these problems, this service offers a solution for using promotional media with web profiles and social media to give a good impression to potential customers. By having an informative and attractive web profile, service companies can increase credibility, expand business reach, provide information that is easily accessible to customers, as well as branding and identity. The next solution is the use of market places for wider market access, increasing visibility, strengthening consumer trust, ease of transactions, simplifying the sales process, low operational costs and customer service support. The next solution is providing assistance with bicycle service equipment and training in the use of information systems to schedule bicycle service call visits. The method used in this service is Community Empowerment. This method aims to empower communities by providing the knowledge, skills and resources needed to overcome the problems they face. This can be done through training, workshops or specially designed educational programs

FF-BERT: A BERT-based ensemble for automated classification of web-based text on flash flood events

The web is a rich information repository that can be mined to uncover additional data about past flash flood (FF) events, currently missing from existing structured databases. However, this information originates from multiple sources (news articles, government records, and weather records among others) and may cover several topics. Furthermore, these topics may be disproportionately covered on the web. The large size and heterogenous nature of web information render manual review difficult. To address this challenge, we have developed a multi-label text classification model, FF-BERT. FF-BERT is designed to classify FF-related web paragraphs into one or more of seven categories: (1) Damage and Economic Impact (DI), (2) Fatalities, Injuries, and Rescue (FIR), (3) Hydrometeorology (HM), (4) Warning and Emergency (WE), (5) Response and Recovery (RR), (6) Public Health (PH), and (7) Mitigation (MG). To develop FF-BERT, we labeled 21,180 paragraphs from FF-related webpages and performed experiments with multiple model architectures based on the widely used language model Bidirectional Encoder Representation from Transformers (BERT). Our final model outperforms the baseline by 11.83%, as measured by the micro-F1 score. In addition, FF-BERT significantly improves the prediction of minority labels (RR-32.1%, PH-260.4%, and MG-138.6%). We demonstrate using real world examples that FF-BERT can be used to uncover new information about flash flood events. This information can be used to enhance existing databases, such as NOAA’s Storm Events Database.

Development of an informative web application for the promotion of ecotourism: A case study

INTRODUCTION: En a global context where technology is essential for the search of information and decision-making by tourists, the creation of digital platforms is a key strategy to promote sustainable tourism practices.OBJECTIVES: We aim to develop an informative web application aimed at promoting ecotourism in Lake Cuipari, using it as a case study.METHODS: The software development followed the phases established in the Agile methodology Extreme Programming: i) Exploration, ii) Planning, iii) Interactions, iv) Production, and v) Maintenance. To ensure the quality of the software product, we applied black-box testing.RESULTS: We successfully developed a functional informational web application with two panels, administrative and visitor. The web application allows users to learn about the location of Lake Cuipari, explains access conditions, and provides information about native species in and around the lake. These species are categorized into birds, amphibians, and fish, with academic, scientific, and tourist interest.CONCLUSION: The informational web application serves as a digital platform that enables the municipality and the local community to promote ecotourism in Lake Cuipari for the sake of its preservation and sustainability. This is achieved through the increased provision of information for potential tourists.

Integrating STEM Approach in K-12 Science Education Teaching Practice: A Systematic Literature Review

The integration of science, technology, engineering, and mathematics (STEM) in K-12 education is widely recognized as a critical means to ensure future prosperity, security, and a skilled workforce in these fields. This integrated STEM approach entails teaching these four STEM disciplines in a cohesive manner. However, several barriers have arisen, including the lack of a clear consensus on the key features of implementing integrated STEM education effectively. There remains uncertainty about which science subjects should be integrated with the other three disciplines and at what level within K-12 science education this integration should occur. Therefore, this study aims to establish a well-defined framework for teaching science through an integrated STEM approach (ISTEMA) and identify the types of integrated STEM disciplines employed in various educational settings through a systematic literature review. Secondary data, including scholarly journal articles and book chapters, were collected through searches in databases such as the Educational Resource Information Center (ERIC) and Web of Science. Data analysis was conducted using within-case and cross-case analysis methods. The findings of the study revealed that the framework of teaching science ISTEMA generally consists of six elements: inquiry-based, engineering-based, technology-based, problem-based, teamwork-based, and robotic-based learning. This approach primarily focuses on primary and lower secondary education. Engineering and technology content is predominantly integrated into the science subject. In primary education, science and engineering and science and technology are extensively used, while in lower and upper secondary education, science, engineering, and mathematics, science, technology, and engineering, or STEM are commonly employed.

Assessing the Quality of Recruitment Information on Skull Base Surgical Fellowship Program Websites.

Introduction The American Association of Neurological Surgeons (AANS), North American Skull Base Society (NASBS), American Rhinologic Society (ARS), and American Neurotology Society (ANS) fellowship directories are important information repositories for skull base surgical fellowship programs. However, there is limited research on the amount and depth of information available through these resources. The objective of the present study is to assess Web site accessibility and information availability for individual fellowship programs listed within the AANS, NASBS, ARS, and ANS fellowship directories. Methods Lists of all accredited skull base surgical programs were obtained from the AANS and NASBS fellowship directories. Duplications in listed programs were removed, and systematic queries via an online search engine were conducted to identify fellowship Web sites. From each available Web site, information pertaining to 24 different variables was collected and organized into two categories-recruitment and education. Differences in the availability of information on recruitment and education were then compared across Web sites and contextualized relative to other surgical specialties. Results After excluding duplicates, 113 fellowship programs were identified, of which 99 (87.6%) had accessible Web sites. Of the 48 listed by the NASBS, direct Web site links were available for 33 (68.8%), email contacts were accessible for 32 (66.7%), and phone numbers were listed for 6 (12.5%). Of the 39 programs listed by the AANS, none included Web site links, 38 (97.4%) provided an email contact, and 39 (100%) listed a departmental contact telephone number. All 28 (100%) programs listed by the ANS provided a phone and email contact in addition to a Web site link to each institutional Web site. Of the 33 programs listed by the ARS, 29 (88%) had a departmental contact telephone number, 31 (94%) had an email contact available, and 4 (12%) had a program Web site link directly available from the database Web site. Of the 99 total programs, fellowship Web sites displayed an average of 5.46 (42.0%) of the 13 recruitment features and 4.80 (42.6%) of the 11 education features. Programs in the geographic Northeast were significantly less likely to present information pertaining to recruitment ( p = 0.023). Furthermore, programs in geographic Northeast and West were significantly less likely to present information focused on surgical training and/or education ( p = 0.006). Conclusion Although many skull base fellowship programs have maintained comprehensive program Web sites, certain critical aspects remain deficient, and some programs provide little to no information. Providing more detailed information about programs can prove mutually beneficial for fellowship program directors and candidates.

Multi-modal fusion using Fine-tuned Self-attention and transfer learning for veracity analysis of web information

Multi-modal fusion using Fine-tuned Self-attention and transfer learning for veracity analysis of web information

A national scale web mapping platform for mainstreaming ecosystem services in Greece

This study outlines the conceptualisation and development of a public participation geographic information system (ppGIS) and web GIS (webGIS) platform for hosting, visualizing, and updating ecosystem services (ES) related data at national scale through participatory mapping. The ppGIS/webGIS is developed within the framework of the LIFE-IP 4 Natura, a project has received the most substantial nature-focused funding scheme for Greece approved by the European Commission. One of the project's central goals is the mapping and assessment of ecosystems and their services (MAES) in Greece. This initiative contributes to the implementation of Action 5 of Target 2 of the European Union (EU) Biodiversity Strategy to 2020, following the standard EU MAES guidelines. The LIFE-IP 4 Natura online mapping infrastructure hosts and visualizes spatially explicit maps and information produced earlier in the project at a national level. It also provides a mechanism for updating this baseline information via public participation, thereby fostering increased public awareness of the necessity for ecosystem protection, conservation, and management. Following a multi-stakeholder user requirement analysis, the herein presented ppGIS/webGIS platform is designed and developed. The platform incorporates various geospatial data explorers (GDE), ppGIS services for local and national public participation, geotools and data, visual content representation, and an introductory-level knowledge repository for ES (ES-pedia). An, overview of the platform's preliminary usage is presented, and its potential in promoting the uptake and mainstreaming of the ES concept is discussed.

Pengembangan Sistem Informasi Rekomendasi Wisata Kalimatan Timur Berbasis Web Menggunakan Metode Item-Based Collaborative Filtering

The development of a tourism object is an important sector in the development of an area to support the economic power of the people in the area, this also applies to the East Kalimantan province. In order to improve the tourist experience, the development of a tourist recommendation information system is a necessity. This research discusses the development of a web-based Tourism Recommendation Information System and Tourism Chatbot specifically for East Kalimantan Province.Item-Based Collaborative Filtering method is implemented in the development of this system. This method utilizes historical data of user preferences to recommend suitable tourist destinations. The data collected includes user preferences for various attractions, such as location, facilities, and types of activities. The development process starts from data collection and processing, building a web information system, to integration with a chatbot.Tourist Recommendation Information System provides recommendations for tourist destinations tailored to user preferences. Through a user-friendly web interface, users can explore interactive maps, find out the details of attractions, and see reviews from previous visitors. In addition, the Tourism Chatbot provides real-time information and recommendation services to users through an instant messaging platform. The trial results show that the Item-Based Collaborative Filtering method is able to provide recommendations that are relevant to user preferences. Users feel more assisted in planning their travel trips. The system also succeeded in increasing user interaction and engagement through the use of a responsive chatbot.In conclusion, the development of a web-based Tourism Recommendation Information System and Tourism Chatbot with the Item-Based Collaborative Filtering method can be an effective solution in improving the tourist experience in East Kalimantan Province. This system provides accurate recommendations and empowers users to plan a better and memorable tour.

Development and application of web information system in enterprise management under SSH framework

With the development of information technology in society, many enterprises have set a set of enterprise information management systems for themselves. This paper proposes an Enterprise Management Information System based on the SSH framework for the Web. Firstly, the key technology in Web, Java 2 Platform, Enterprise Edition (J2EE), is combined with Spring-Strut-Hibernate (SSH) framework, and a lightweight solution of J2EE Web application is adopted to build a Web application with a clear structure, good reusability, and easy maintenance in a short period. The functional design and development process of the information system is explored and studied in detail, and computer software design and development technologies, tools, and methods are used to build an information solution for the enterprise project management business. The internal functions of the system are divided into project planning, implementation, suspension, change, evaluation, and result management, which can provide information technology tools to support the enterprise project management business according to its actual content and management mode. All key information of this system is stored in the database, and the database tables can be divided into system-like tables and project-like tables according to the design and definition classification. Finally, the implementation of some major functional modules in this system. The integration of the system SSH and the main public functions are implemented, and then the details of how the key functions such as user login, project information filling, and auditing are implemented in the enterprise project management information system, and how the document generation function is implemented after project approval. In this paper, the enterprise management information system performance test showed that the system response time, average occupancy rate of CPU, and memory during the test have reached the expected requirement. The maximum response time of 2.423 seconds, CPU and memory (physical) maximum average occupancy rate of 21.24% and 25.25%, respectively, all conform to the requirements of the performance index.

Academic Use of Smartphones and Academic Performance in Higher Education: A Systematic Review

Smartphones may be particularly prone to distracting students, allowing them to spend more time engaging with their devices rather than focusing on academic tasks. The purpose of this study was to explore the impact of the use of smartphones on student academic performance in higher education. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines to guarantee the inclusion of relevant academic materials. We examined 8 out of 299 documents gathered from the Education Resources Information Centre (ERIC), Scopus, and Web of Science (WoS) databases that were published since 2018. During the screening phase, excel files with details about the paper, including title, author and abstract, were exported from the database. Specifically, these papers focused on parameters such as primary, middle and high school students, smartphone addiction. Our bibliometric assessment shows that research on the use of smartphones for specific academic purposes has remained scarce in recent years, and most of the studies are located in Asian countries. The research supports that the academic use of smartphones has a significant positive impact on student academic performance in higher education. It shows that using smartphones for learning purposes has various positive effects on students' learning in and out of the classroom, such as motivating students, increasing their collaboration and interaction, and improving their engagement in learning. Also, the study found positive student attitudes toward the use of smartphone-assisted learning apps. We concluded that smartphone use has a significant positive impact on academic performance.

What is the uptake rate of breast self-examination in Iranian women? Estimation based on systematic review and meta-analysis

BackgroundBreast self-examination is a simple, painless, confidential and inexpensive screening method for early diagnosis that does not require specialized tools and equipment. In this study, we have estimated the pooled percentage of breast self-examination (BSE) in Iranian women.MethodsAll the published literatures between 2012 and 2022 have been reviewed. Searches were performed in PubMed, Web of Science, ProQuest, Science Direct, Google Scholar, Scientific Information and Magiran databases. The effect size was the pooled percentage of breast self-examination (BSE). In order to check the heterogeneity, the estimation of the I2 index and extraction of the Galbraith plot were used, and the drivers of heterogeneity have been identified through meta-regression and estimates were made based on subgroups. All the analysis was done in STATA 15.ResultsFrom the initial 294 records, 38 were included in the final analysis in which 9960 women have been studied. The heterogeneity of the studies was high based on the variation in OR (I2 = 98.4%, heterogeneity X2 = 2278.21 (d.f. = 37), p < 0.01). The pooled rate of BSE based on fixed and random methods was obtained as 15.46 (95% CI: 14.83 to 16.09) and 24.74 (95% CI: 19.62 to 29.86) percent, respectively. The highest pooled percentage BSE (39.41%, 95% CI: 30.98 to 47.83) was obtained from studies that investigated the action phase in the Trans theoretical model. The pooled percentage obtained from the studies conducted in the central regions of Iran was higher than other cities (27.47%, 95% CI: 17.38 to 37.55).ConclusionThe result from our analysis determined that performing breast self-examination in Iranian women is low. Health policy makers can increase the rate of breast self-examination in Iran by implementing basic educational programs in schools and encouraging and justifying women in social health centers.

Analysis of effective integration of information platform courses and daily teaching in universities based on adaptive network

Abstract This paper first analyzes the effective application of web platforms and information technology in college teaching and constructs a web-based teaching aid platform for college courses based on the open Web. Secondly, the A3C algorithm is used to implement adaptive coding decisions to improve the performance of the platform by adaptive network coding. Finally, the performance test analysis is conducted for the web teaching aid platform built in this paper. The results show that the average response time of the system using the communication function with 2000 concurrent users is 1.807s, and the CPU and memory usage are 1146MHz and 1486MB, respectively, after running for 25s. This shows that adaptive network coding can effectively improve the performance of the supplementary teaching platform.

American literature news narration based on computer web technology.

Driven by internet technology, online has become the main way of news dissemination, but redundant information such as navigation bars and advertisements affects people's access to news content. The research aims to enable users to obtain pure news content from redundant web information. Firstly, based on the narrative characteristics of literary news, the Term Frequency-Inverse Document Frequency (TF-IDF) algorithm is employed to extract pure news content from the analyzed web pages. The algorithm uses keyword matching, text analysis, and semantic processing to determine news content's boundaries and key information. Secondly, the news text classification algorithm (support vector machine, K-nearest neighbor, AdaBoost algorithm) is selected through comparative experiments. The news extraction system based on keyword feature and extended Document Object Model (DOM) tree is constructed. DOM technology analyzes web page structure and extracts key elements and information. Finally, the research can get their narrative characteristics by studying the narrative sequence and structure of 15 American literary news reports. The results reveal that the most used narrative sequence in American literary news is sequence and flashback. The narrative duration is dominated by the victory rate and outline, supplemented by scenes and pauses. In addition, 53.3% of the narrative structures used in literary news are time-connected. This narrative structure can help reporters have a clear conceptual structure when writing, help readers quickly grasp and understand the context of the event and the life course of the protagonists in the report, and increase the report's readability. This research on the narrative characteristics of American literature news can provide media practitioners with a reference on news narrative techniques and strategies.

Identifying the Risk Regions of Wild Boar (Sus scrofa) Incidents in China.

The objectives of this study were to identify the risk regions of wild boar incidents in China and to draw a risk map. Risk maps can be used to plan the prioritization of preventive measures, increasing management effectiveness from both a short- and a long-term perspective. We used a web crawler (web information access technology) to obtain reports of wild boar incidents from China's largest search engine (Baidu) and obtained 196 valid geographic locations of wild boar incidents from the reports. Subsequently, a system of environmental variables-with climate, topography, landscape, and human disturbance as the main variable types-was constructed, based on human-land-system thinking. Finally, the Maxent model was applied to predict the risk space of wild boar incidents in China by integrating the geographic location information for wild boar incidents with the environmental variables. We observed that the types of environmental variables that contributed to wild boar incidents were in the descending order of climate (40.5%) > human disturbance (25.2%) > landscape (24.4%) > topography (9.8%). Among the 14 environmental variables, annual precipitation, the GDP index, and the mean annual temperature were the main environmental variables. The distance from woodland, distance from cultivated land, and elevation were the secondary environmental variables. The response curves of the environmental variables demonstrated that the highest probability of wild boar incidents occurred when the annual average temperature was 16 °C, the annual precipitation was 800 mm, and the altitudes were 150 m and 1800 m. The probability of wild boar incidents decreased with an increase in the distance from cultivated and forested land, and increased sharply and then levelled off with an increase in the GDP index. Approximately 12.18% of China was identified as being at a high risk of wild boar incidents, mainly on the eastern side of the Huhuanyong Line.

Business Sector Financial Performance Evaluation Using Automated Approach in Assisting Investors’ Decision-Making

Investors must carefully study and analyze a company's financial performance in order to avoid the risk of financial losses, which takes a lot of time due to the numerous criteria or financial statistics that must be taken into account. The investor's choice of the best company to invest in is further complicated by the limitations of human reasoning when faced with a large selection of choices. This study has proposed an automated system to help investors who plan to make investments by offering features to assess the financial performance of particular businesses within particular industries. The authors have suggested two strategies: TOPSIS and Fuzzy Logic approaches. Successful automated system development has been accomplished using these approaches. The approach allows investors the freedom to select from a range of performance evaluation criteria to establish the rankings. Investors can view the companies' rank in terms of their financial performance. Investors may also avoid getting overwhelmed with complicated, perhaps conflicting web information by employing the existing systems. It is observed that the proposed system is very user-friendly and managed to assist the investors’ decision-making in making investments. It should be noted that the developed systems can be useful not only to investors but also to students taking business courses. From our analysis, there is no just one right technique to analyze a company and assess its current standings. Therefore, in the future, we recommend introducing an aggregate method to business appraisal in order to further give potential investors a better depiction of the businesses.

Differentiated Location Privacy Protection in Mobile Communication Services: A Survey from the Semantic Perception Perspective

Mobile communication services raise user privacy concerns in sharing the traveling trajectories while facilitating people’s daily lives. According to these shared trajectories, adversaries can dig users’ multi-modal behavioral semantics by combining with extensive open-source web information. These behavioral semantics have differentiated privacy sensitivity, raising different levels of privacy concerns. It makes users have personalized requirements for protecting their travelings. Resulting in the inevitable evolutionary trend from location privacy protection to differentiated location privacy protection (DLPP). DLPP digs into mobile semantics and characterizes the differentiated location sensitivity by simulating the potential attacks. It provides the privacy protection with differentiated strength to each location. Differentiated and appropriate strength well balances the tradeoff between privacy protection and data availability for the quality of application service. We are motivated to conduct a comprehensive survey on DLPP from the semantic perception perspective. It forms a complete overview of the mobile semantics-aware differentiation in location privacy protection. Specifically, we first review the research works on multi-modal mobile semantic representation. Then, taking the dug semantics as a clue, we summarize the basic principles of DLPP research systematically. To complete the overview, we also summarize their design modes and discuss the open opportunities and challenges for future works.

Overviews On Lithium-Ion Battery for Electric Vehicle and Applications

Advancement of electric vehicles (EVs) is a compelling answer for advance carbon nonpartisanship, in this manner battling the environment emergency. Progresses in EV batteries and battery the executives interconnect with administration arrangements and client encounters intently. This article surveys the advancements and difficulties of (I) cutting edge battery advancements and (ii) best in class battery the executives advancements for half and half and unadulterated EVs. The key is to uncover the important highlights, advantages and disadvantages, new mechanical frontward leaps, future difficulties, and potential exposed doors for propelling electric usefulness. This basic survey imagines the improvement patterns of battery science advancements, innovations with respect to batteries, and advancements supplanting batteries. Wherein, lithium-Ion batteries, lithium-metal batteries (like strong state batteries), and advancements past lithium ('post-lithium') will be effectively investigated in the following many years. In the mean time, the information driven electrothermal model is promising and related to a noteworthy execution. At long last, upcoming high energy batteries and their administration advancements will effectively embrace the data and energy web for information and energy distribution. Previous article in issue. Keywords Electric propulsion Battery management Wireless power transfer Electric vehicles Rechargeable batteries

Medicinal Plants, Economical and Natural Agents with Antioxidant Activity

Abstract: Over the past few decades, the multifaceted anticancer action of various plant-derived flavonoids has been demonstrated both in in vitro and in vivo preclinical experiments as well as in clinical trials and large-scale epidemiological studies. These secondary metabolites, synthesized in plants in response to different environmental stresses, can exert diverse biological activities in the human body after ingestion of plant-based foods. Flavonoids are indeed well-known for their antioxidant, anti-inflammatory, antiproliferative, proapoptotic, anti-migratory, antiinvasive, anti-metastatic, and anti-angiogenic properties, thereby preventing and slowing the development of different types of human cancers. Accordingly, more and more people all over the world have increased their everyday intake of fruits, vegetables, whole grains, and spices to get the benefits of flavonoids. In this commentary article, a critical view is presented on the possible gradual decrease in the health-promoting effects of edible and medicinal plant products related to changes in their flavonoid content and composition as a consequence of global warming. It is indeed generally accepted that biosynthesis and accumulation of certain flavonoids can be higher in plants cultivated in colder conditions, while a high temperature may even block the production of these agents. It only remains to be determined in the future as to what extent the lowering of flavonoids content in plant-based diets during global warming can contribute to continuously increasing worldwide incidence of new cancer cases, revealing the actual costs of human-induced environmental changes. : Important traditional medicinal plants with antioxidant activities in China are Asparagus, bindii, blueberries, barberry fruit, borage, calendula, camellia, coriander, cumin, Chinese bayberry, bitter Chinese melon, Chinese cabbage, Chinese cherry, Chinese jujube, Chinese olive, pomegranate, Chinese rose tea, Chinese toon, Chinese watermelon, black tea, green tea, knotweed, Chinese quince, Chinese rhubarb, pomegranate, sumac, thyme, wolfberry, dendrobium, drumstick tree, rosemary, black Zira, rose, Fiscus species, ginger, ginkgo, goji berry, grape, Jerusalem thorn, jujube, kiwifruit seed oil, and liquorice root. : The main derived exogenous natural antioxidants are derived from medicinal plants, fruits, foods, flowers, and traditional herbal medicines. Among various medicinal plants, the medicinal plants common in Asian traditional medicine have shown enormous potential as great sources of natural antioxidants. Polyphenols, and some other secondary bioactive compounds like anthocyanins, isoflavones, pterostilbene, resveratol, quercetin and catechins have shown potent antioxidant activity.

The role of Achillea millefolium in traditional medicine: A review of its use in different cultures

Background and aims: The Achillea genus, part of the Asteraceae family, is native to the Northern Hemisphere, from Europe to Asia. These plants thrive in temperate climates and are often found in dry or semi-dry conditions. This research aimed to examine the therapeutic uses of Achillea plants, drawing from traditional medicine texts and laboratory and clinical studies. Methods: This narrative review involved a comprehensive search of major scientific databases to gather information on Achillea and its extracts from native or endemic species within the Achillea genus. The review spanned several decades and utilized sources such as Google Scholar, Scopus, PubMed, Institute for Scientific Information Web of Science, and botanical and local books (1990 - present). Results: Achillea is a medicinal plant used for the treatment of gynecological problems, diabetes control, gastrointestinal disorders, side effects of cancer such as mucositis caused by chemotherapy and radiotherapy, skin reactions caused by radiotherapy, treatment of prostate cancer, breast cancer, cervical cancer, and human gastric cancer. Conclusion: Considering the role of medicinal herbs in improving the side effects of cancer, treating certain types of cancer, controlling diabetes, and treating gastrointestinal problems, it is recommended to use this plant as a complementary medicine alongside routine treatments.

PATENT SEARCH METHODOLOGY IN THE PROCESS OF CREATING COMPETITIVE INVENTIONS

The article examines the patent search technique in the process of creating competitive inventions. Regulatory documents regulating patent law, the main definitions of patent science, which are designed to familiarize beginners and student youth engaged in scientific work related to innovative inventive activity, are given.The article also highlights the issue of the inventor’s inventive activity, examines the stages of search activity in the process of creating competitive inventions. The principles of classification of inventions in accordance with the International Patent Classification of Inventions by means of the information and library system Web IRBIS are considered.Thus, inventions are classified according to thematic headings by class, which makes it possible to organize descriptions of inventions and distribute them according to technical solutions.The article also provides a method of searching for patent information of different countries by means of information and search systems and the Ukrainian information and search system SIS (special information system) UKRNOIVI (Ukrainian national office of intellectual property of innovations), which allows inventors to monitor the status of paperwork for their applications for inventions. Patent search and patent research based on modern information and search systems for patents by means of the Internet allows to prevent borrowing and plagiarism in compliance with the law “On the Protection of Rights to Inventions and Utility Models”.The described method of patent search during the creation of inventions gives the inventor a significant saving of working time spent on patent search, allows the use of modern means of information and communication technologies in the process of creating competitive inventions.&#x0D; Keywords: patent search; patent purity; patent research; information search system; national patent databases; industrial property; patents; inventions; utility models.