bluuebunny/crossref_metadata_2025 huggingface dataset:
Algolizer Using ReactJS
Authors:   Government College of  Engineering , Chandrapur, Wadhai Prajwal Ashok
Published: April 2024

The Algorithm Visualizer Project is an interactive and educational tool designed to illustrate various algorithms' functionality and efficiency through visual representations. Algorithms are fundamental to computer science, but their abstract nature can be challenging to comprehend. This project aims to bridge that gap by providing a user-friendly interface that visually demonstrates algorithms in action. The visualizer offers a platform where users can select from a range of algorithms, such as sorting (e.g., Bubble Sort, Merge Sort). Each algorithm is showcased step-by-step, allowing users to observe how data structures evolve and how the algorithms operate on them. Through dynamic visualizations, users can track the algorithm's progress, see how data is manipulated, and understand the underlying logic behind each step. Additionally, the tool provides options for adjusting parameters, such as input size or speed, enabling users to experiment with different scenarios and grasp the impact on algorithm performance. This project not only serves as a learning resource for students studying computer science and programming but also appeals to enthusiasts seeking a deeper understanding of algorithms. By offering an intuitive and engaging visual representation, the Algorithm Visualizer Project aims to make complex algorithms accessible and comprehensible to a wider audience.
Facial Recognition and Shock Protection: A Comprehensive Anti-Theft System for Vehicles
Authors:   KKR & KSR Institute of Technology and Sciences, Vinjanampadu, Guntur Dt., Andhra Pradesh, Sd .Vaheeda
Published: April 2024

Vehicle Anti-Theft Detection and Protection with Shock employs a robust security system integrating facial recognition technology and shock protection mechanisms. A camera, connected to a Python-installed PC, facilitates facial recognition to identify authorized users. In the event of an unrecognized face, the system triggers an immediate response by sending an alert email to the registered user. This aspect adds an extra layer of security to deter potential thefts. In addition to the facial recognition feature, the project incorporates a shock protection mechanism inspired by a mosquito bat. This innovative approach involves integrating a shock mechanism that can be activated remotely. If unauthorized access or tampering is detected, the shock mechanism provides an additional deterrent, enhancing the security of the vehicle. The combination of facial recognition and shock protection contributes to a comprehensive anti-theft system, ensuring both user authentication and a swift response to potential threat Keywords : Arduino, Python installed PC, Vehicle security, Relay, Inverter
PODCAST TRANSCRIPTION AND SUMMARIZATION WITH SPEECH SYNTHESIS
Authors:   Assistant Professor, Department of Information Technology, Sir Visvesvaraya Institute of Technology, Nashik,  Maharashtra, India, P.V. Dr. Kashid
Published: April 2024

We propose a system which automatically generate audio summaries for podcasts, allowing listeners to quickly preview podcast episodes. The proposed system first transcribes the audio from a podcast using automatic speech recognition (ASR), then summarizes the transcript using extractive text summarization, and finally returns the audio associated with the text summary. Motivated by a lack of relevant datasets for this task, we created our own by transcribing the audio from various podcasts and generating summaries for these transcripts using a manual annotation tool. After transcription, the text is processed through natural language processing (NLP) algorithms to extract the most important points, key topics, and relevant information from the podcast. The first component of the system involves automatic transcription, where speech-to-text algorithms convert audio podcast episodes into textual format. This transcription process employs state-of-the-art machine learning models trained on large datasets to achieve high accuracy and reliability. The system employs natural language processing (NLP) techniques to generate concise summaries of podcast episodes. These summaries aim to capture the essence of the content, providing users with a quick overview of key topics, insights, and discussions covered in the episode. Key Words: Podcasts, audio summarization, automatic speech recognition, automatic summarization.
Antibacterial, Anti-inflammatory properties and Therapeutic Benefits of Cardamom (Elettaria cardamomum)
Authors:   B.Sc. Department In-charge, Assistant Professor, Mahendra Pratap Sharada Prasad Singh College of Arts, Commerce & Science Bandra East, Mumbai-400051, India., Dilshad Khan Rehan
Published: April 2024

Cardamom (Elettaria cardamomum) is a conventional fragrant plant for which a few pharmacological properties have been related. In this consider, the antibacterial movement of two cardamom extricates (natural product and seeds), wealthy in unstable compounds, against major periodontal pathogens was assessed. In addition, the capacity of the extricates to apply anti-inflammatory action was tried. Both cardamom natural product and seed extricates applied an antibacterial impact against Aggregatibacter actinomycetemcomitans, Fusobacterium nucleatum, Porphyromonas gingivalis, and Prevotella intermedia (least inhibitory concentrations: 0.5% [v/v], 0.25%, 0.062%, 0.125%, individually and least bactericidal concentrations: 1%, 0.25%, 0.062%, 0.25%, individually). The cell film of P. gingivalis was disturbed by a treatment with cardamom extricates proposing the bactericidal mode of activity. The extricates moreover restrained biofilm arrangement in spite of the fact that it related with a development decrease. Besides, the cardamom extricates altogether diminished the emission of IL-1β, TNF- α, and IL-8 by lipopolysaccharide-stimulated macrophages. Prove were brought that the anti- inflammatory movement may result from restraint of the NF-κB signaling pathway. This ponder is the to begin with to give prove that cardamom natural product and seed extricates through their antibacterial and anti-inflammatory properties may be helpful specialists of intrigued against periodontal diseases. Keywords: Cardamom; pharmacology; antibacterial; anti-inflammatory; antimicrobial, therapeutic.
Rent My Stuff
Authors:   Assistant Professor, Department of Information Technology, Sir Visvesvaraya Institute of Technology, Nashik, Maharashtra, India, Dhokane Mr. Rahul
Published: April 2024

This research introduces "Rent My Stuff," a novel e-commerce platform designed to address the underutilization of expensive items by enabling peer-to-peer item rental. In contemporary consumer culture, numerous products incur significant costs but experience limited personal use. "Rent My Stuff" provides a solution by allowing users to upload items for short-term leasing, catering to individuals who cannot afford to purchase items for infrequent use. The platform differentiates itself from traditional online marketplaces by focusing on the temporary lease of items rather than outright ownership. The user-friendly interface facilitates the easy upload of items, requiring essential lessor information such as address proof and location. User authentication through login allows for the addition of multiple products and personal details, enhancing the platform's versatility. Safety considerations are paramount, leading to the inclusion of a rent payment feature. This feature ensures accountability between lessors and lessees, contributing to a secure and transparent transaction environment. The underlying database, implemented in PHP, securely stores product information and user data. An analysis of existing systems reveals a gap in the market, with current applications primarily supporting the buying and selling of used items but lacking features for short-term item leasing. The proposed system aims to bridge this gap by providing a technology-oriented, cost-effective, scalable, and robust solution for renting items to users. The project follows the Spiral Model of Software Development, incorporating communication, planning, modelling, construction (coding and testing), and deployment phases. Modules include user authentication (login and sign- up), a map feature for contacting developers, and a checkout module for payment and finalizing the lease. Key Words: E-commerce, Online marketplace, Item rental, Sharing economy, Product leasing, Platform for renting
Preliminary Study and Use of Design of Dusto Cleaner for Black Board
Authors:   Assistant Professor, Department of Mechanical Engineering, Nutan Maharashtra Institute of Engineering and Technology, Talegaon Dabhade, Pune 410507,, Chaudhari Harshal Sanjay
Published: April 2024

Even if we lead to the digital platform traditional chalk and board is an integral part of the education life. Blackboards and chalk pieces are used in almost every educational field in the world. Cleaning the board using a duster is essential for continuing the writing process and this involves rubbing a sponge surface against the board surface. This cleans the board but also creates a fine dispersion and particles of chalk powder around the atmosphere nearer the board, which is certain to be inhaled by the teachers, and in many cases, students who occupy seats near the blackboard suffer some inhalation problems. The work also stated that teachers were at the maximum risk of inhaling the chalk dust and may suffer from respiratory diseases. Key Words: Blackboard, chalk, duster, respiratory, diseases
HUMAN FOLLOWER ROBOT
Authors:   Electronics & Telecommunication & P G Moze College of Engineering, Pune, Patil Dr. Sambhaji
Published: April 2024

The development of a Human Follower Robot incorporating IR and Ultrasonic Sensors represents an innovative venture in robotics and automation, aimed at creating a versatile machine capable of tracking and following targets while navigating obstacles. This project is fuelled by the vision of combining sensor technology, microcontroller programming, and robotic design to birth a robot capable of graceful traversal and intelligent target pursuit. At its core, the project relies on the integration of two essential sensor technologies: Infrared (IR) and Ultrasonic sensors. IR sensors, functioning akin to human eyesight, detect objects by emitting and receiving infrared light, enabling the robot to recognize the presence of a target within its line of sight. Concurrently, ultrasonic sensors enhance the robot's perception by determining distances through sound waves, facilitating obstacle avoidance and maintaining a safe tracking distance from the target. The project's foundation comprises key components working in tandem to fulfil the robot's objectives. A microcontroller, such as Arduino or Raspberry Pi, orchestrates actions by processing sensor data and regulating movements. IR sensors act as vigilant eyes, detecting the target, while ultrasonic sensors serve as the echolocation system, enabling seamless navigation in cluttered environments. Motors and wheels propel the robot, providing motion and directional control, while a reliable power supply, such as batteries, sustains its operations. Four pivotal milestones define the project's core goals. Firstly, the development of algorithms and code for effective object detection using IR sensors enables the robot to discern the presence of a target. Secondly, obstacle avoidance mechanisms are implemented through ultrasonic sensors, ensuring adept manoeuvring around barriers and hazards. Thirdly, proximity control is prioritized to maintain an optimal and safe following distance from the target, preventing collisions. Lastly, efforts focus on enabling smooth and precise movement to ensure accurate and responsive tracking behaviour. The potential applications of such a robot are diverse. Apart from assisting visually impaired individuals by guiding and avoiding obstacles, these robots can serve as automated tour guides, offering informative experiences in museums or exhibitions. Additionally, their utility extends to surveillance and security, where they can monitor areas and track intruders. Ultimately, this project holds promise for a future where intelligent robots seamlessly follow, guide, and protect, enriching lives with their remarkable capabilities. Key Words: Human Follower Robot, IR Sensors, Human Follower Robot, IR Sensors, Ultrasonic Sensors, Robotics, Automation, Sensor Technology etc
IOT BASED SMART PLANT MONITORING SYSTEM
Authors:   Electronics & Telecommunication & P G Moze College of Engineering, Pune, Patil Dr. Sambhaji
Published: April 2024

In agriculture, the efficient use of water resources is crucial for maximizing crop yield. This project introduces an open-source, IoT-based smart system designed to predict irrigation requirements by monitoring soil moisture, temperature, humidity, and external factors like obstacles or intruders using infrared sensors. The system employs an algorithm that integrates sensed data to make irrigation predictions. Implemented on a pilot scale, the system wirelessly collects sensor data via cloud-based web services. Both web and mobile interfaces provide real-time insights and decision support based on sensor analysis. Results indicate significant differences between monitored and unmonitored environments, impacting plant health in the short and long term. Graphical representations aid in visualizing environmental variations over time intervals. Future enhancements may include integrating other technologies to predict rainfall, manage pH levels, and secure data stored in the cloud. This would enhance the system's long-term viability and reduce dependency on manual operation. Key Words: Agriculture, IoT (Internet of Things), Water Resources, Soil Moisture, Temperature, Humidity, Irrigation Management, Open-Source Technology ,Sensor Nodes etc.
Survey Paper on Implementation of Abusive Language Detection in Chatting Application
Authors:   KVN Naik Loknete Gopinathji Munde College of Engineering And Research, Nashik, Rokade, Mr. Siddharth Shukracharya
Published: April 2024

Communication has become stronger due to exponential increase in the usage of social media in the last few years. People use them for communicating with friends, finding new friends, updating any important activities of their life, etc. Due to their growing popularity and deep reach, these mediums are infiltrated with huge Volume of spam messages. Spam message randomly sent to multiple addressees by all sorts of groups, but mostly lazy advertisers and criminals who wish to lead you to phishing sites. In this we are using various machine learning techniques for detecting spam in the short text messages and also Google vision API for detecting spam images. Key Words: Spam Filtration, Google Vision API, OWASP, Naive baise classifier, Dictionary Based Algorithm
Smart Trolley and Billing System
Authors:   Students, Shri Chhatrapati Shivaji Maharaj College of Engineering,, Bingi Sejal
Published: April 2024

The goal of this project is to improve and enhance the present supermarket cart-based sell and purchase procedure such that it is faster and more effective for both the seller and the customer. Customers now have to wait in lengthy lines at the payment counter during peak hours at their neighborhood grocery store, standing and waiting for extended periods of time. Customers have found this to be quite problematic, particularly the elderly, people with health concerns, people in a haste, and people who are carrying little children. An RFID scanning system device was mounted to a grocery cart in order to address this issue. This solution is entirely made to speed up the purchasing and checkout processes for customers, saving them time at the payment counter. This study includes a feasibility study, which aims to be an initial assessment of the data to see whether it merits moving further to the analysis stage. Furthermore, Arduino IDE were used to design the system programming. Next, Autodesk Inventor Professional 2019 software was used to create the gadget housing. Regarding its system, it is divided into two sections: one for customers and the other for retailers. The experiment's findings demonstrated how RFID grocery carts shorten customers' shopping and payment processes. Key Words: Customer, Development, Grocery Cart, Recommendation, RFID.
Deep Fake Detection System
Authors:   Department Of Computer Science and Engineering, Malnad College Of Engineering, Hassan, D P Gurukiran
Published: April 2024

Deep learning methods are used by the Deep Fake Detection System to recognize "deepfakes," or distorted media content. Deepfakes are artificial media produced by sophisticated artificial intelligence algorithms that threaten the credibility of media. The goal of our project is to create a reliable system that can discriminate between authentic and modified content in order to stop the spread of false information and protect media integrity. Our goal is to improve deepfake detection efficiency and accuracy by conducting a thorough evaluation of deep learning-based detection techniques. Our technology aims to offer real-time detection capabilities by utilizing sophisticated neural networks and machine learning techniques. This will aid in the continuous endeavors to tackle the widespread occurrence of deepfakes in digital media. Key Words: Deep Fake Detection, Deep Learning, Media Integrity, Misinformation, Neural Networks
Sustainable Development and Environment of Biomass from Agriculture Residues
Authors: Omer Abdeen Mustafa
Published: April 2024

This communication discusses a comprehensive review of biomass energy sources, environment, and sustainable development. This includes all the biomass energy technologies, energy efficiency systems, energy conservation scenarios, energy savings, and other mitigation measures necessary to reduce emissions globally. This study highlights the energy problem and the possible savings that can be achieved through the use of biomass energy sources. Also, this study clarifies the background of the study and highlights the potential energy saving that could be achieved. The use of biomass energy sources describes the objectives, approach, and scope of the theme. However, to be truly competitive in an open market situation, higher-value products are required. Results suggest that biomass technology must be encouraged, promoted, invested in, implemented, and demonstrated as a whole, especially in remote rural areas.
The Efforts of Lombok Regency Government to Recovery After the 2018 Lombok Earthquake Disaster
Authors: Miftakhudin Ahmad  , Pujo Widodo  , Sugeng Tri Utomo  , Kusuma Kusuma
Published: April 2024

The purpose of the Indonesian nation and state, as stated in the Preamble of the 1945 Constitution of the Republic of Indonesia, is the protection of the entire Indonesian Nation, the Indonesian homeland, and the advancement of general welfare. National security is essential in achieving these goals, especially in protecting against various threats, including natural disasters. Earthquakes are one of the main threats because Indonesia is located at the confluence of three active earth plates.  The purpose of this research was to identify the efforts made by local governments in reducing the risk of natural disasters in NTB Province. The method used in this research was qualitative, with data collection techniques such as interviews, observations, and document studies. Data analysis was conducted using descriptive methods. The result of the research was the post-disaster recovery of the 2018 Lombok earthquake, involving the social and economic sectors. The rebuilding of education, health, and worship facilities was included in the social sector recovery. Economic sector recovery focused on supporting Micro, Small, and Medium Enterprises (MSMEs), agriculture, fisheries, livestock, trade, and tourism. The Disaster Resilient Village program was enhanced, with special attention to the sustainability of earthquake-resistant development. This research provided further understanding of local government efforts to deal with natural disaster risk in NTB Province, offering guidance for other regions facing similar challenges.
Attachment Patterns Of Fish Traders In Traditional Markets Nangggalo District, Padang City
Authors: Irwan Irwan , Zusmelia Zusmelia , Elvawati Elvawati , Melia Yeni , Jannah Latifah Izzatul , Lubis Geby Cahyani
Published: April 2024

Traditional markets do not look at caste, buyers can mix well with sellers without any restrictions. The buying and selling system occurs by mutual action of buyers and sellers. In traditional markets, the relationship between traders and buyers is not just the seller receiving money and the buyer receiving goods, but can form social relationships that exist in the buying and selling process. The focus of this study is to analyze the Attachment Pattern of Fish Traders in the Traditional Market, Nanggalo District, Padang City. This study uses a qualitative approach that takes a descriptive type. Purposive sampling was used to select research informants. Research informants are attachments between fish traders. The data collection method begins through in-depth interviews, observations and document data collection. The unit of analysis is carried out from several stages, one of which is data collection, data reduction, data analysis and drawing conclusions which are referred to in the Miles and Huberman model. The results of this study show that the existence of fish traders in traditional markets is inseparable from the cooperation between traders in the process of taking fish. This is marked by the relationship that occurs between large actors such as large agents to small agents as well as to traders where a network has been established, which in turn forms attachment between traders which is characterized by trust in providing merchandise at the initial stage with a system that is no longer the same at the beginning. know, but already at the stage of being able to take fish first with the system of being allowed to owe and the installment system.
Mediating Enduring Rivalry: Prospects For Indonesian Mediation Initiatives In The India-Pakistan Kashmir Dispute
Authors: Rahayu Liska , Defrida Suzana Lukuaka  , Zhafirah Azzahra Juniusyani  , Ichsan Malik
Published: April 2024

The enduring conflict over Kashmir between India and Pakistan remains unresolved despite several international mediation attempts. This study investigates these historical endeavors and evaluates Indonesia’s prospective role as a mediator leveraging its neutral stance and long-standing connections with both parties. A comprehensive qualitative literature review revealed that preceding mediations primarily concentrated on territorial lines, allocation of resources, and ephemeral ceasefires that temporarily eased tensions but were inadequate in addressing the underlying ideological divergences and identity issues perpetuating distrust. While frameworks such as the Indus Waters Treaty, which tackle joint technical concerns, have yielded some success in fostering collaborative arrangements, imposed resolutions have often lacked credibility due to sovereignty concerns and national rhetoric. The research findings indicate that Indonesia is posited as a potential neutral facilitator, drawing from its diplomatic accord and cultural rapport with India and Pakistan. Its non-aligned disposition, coupled with a track record of brokering peace within its region, uniquely qualifies it to sensitize dialogues and engineer technical partnerships inspired by its own experiences with autonomy accords. Although challenging, strategically implemented Indonesian-led confidence-building initiatives could gradually nurture mutual trust and cooperation. For the transformation of the Kashmir dispute to be enduring, it is recommended that a comprehensive strategy be adopted, placing a premium on reconciliation, inclusive policymaking, and the primacy of human security. Crucially, any process must incorporate localized reconciliation dialogues and bottom-up mechanisms to ensure legitimacy and resolve deep-seated grievances
The Linkage of Skills and Sophistication of Alutsista / Weapons Makes Pride and Increases State Revenue in the Defense Industry through the Field of Resilience Sports
Authors: Jefri Bachtiar  , I.B Putra Jandhana  , Timbul Siahaan
Published: April 2024

The Defense Industry is a central element in maintaining national security, requiring the alignment of military personnel with the sophistication of the main weapons system (alutsista). This article examines the crucial dynamics that tie individual skills in the military to the effective use of advanced defense equipment. The focus is on the evolution of military technology and the need to develop personnel skills in response to these advances. The Defense Industry is the backbone of national security, which requires synergy between the skills of military personnel and the sophistication of the main weapons system (alutsista). This article discusses the crucial link between individual skills in the military and the successful use of advanced defense equipment. Furthermore, the article explains the latest military technological innovations that influence the development of progress and the need for appropriate personnel skill development. By integrating sports skills as a promotional instrument, the article discusses the role of international military tournaments as a vehicle for strengthening the defense industry's image. Active involvement in agility sports not only creates national pride but also stimulates positive coverage in the media, providing a significant boost to the promotion of the defense industry. A wise marketing approach is needed to exploit the appeal of agility sports to educate and captivate the global market. Targeted marketing strategies can utilize agility sports as a tool to promote the defense industry, create emotional ties with the community, and, no less important, increase state revenues through increasing exports of defense equipment. This article also covers effective marketing approaches to maximize the benefits of agility sports involvement in increasing the appeal of the defense industry globally. By detailing case studies of countries that have successfully implemented this strategy, this article concludes that the integration of skills, advanced defense equipment, and promotion of agility sports is a holistic approach that has the potential to advance the defense industry, create national pride, and generate significant revenue increases for the country.
Enhancing Intelligence Capacity For Indonesian Peacekeepers In A Dynamic Peacekeeping Landscape
Authors: Herman Subagyo Zaesohar  , Rodon Pedrason  , Asep Adang Supriyadi
Published: April 2024

In the constantly evolving realm of peacekeeping, this research delves into strategies to bolster the intelligence capacity of Indonesian peacekeepers. Recognizing the multifaceted challenges presented by the dynamic peacekeeping landscape, the study employs a qualitative analysis approach to explore methods of enhancing the intelligence capabilities of the Indonesian peacekeeping forces. The findings underscore the importance of not only cultivating foundational knowledge in intelligence but also emphasizing specialized competence in adapting to and leveraging evolving methodologies. The study reveals that a comprehensive approach to intelligence capacity building is essential for Indonesian peacekeepers to swiftly and accurately provide nuanced information in the rapidly changing and complex peacekeeping environment. The research further emphasizes the importance of tailored capacity-building programs in fortifying the intelligence capabilities of Indonesian peacekeepers and ensuring their effectiveness in contemporary peacekeeping operations.
The Influence of Human Resource Competency, Use of Information Technology, Government Internal Control System and Use of Siskeudes on Accountability of Village Fund Management in Sedati District
Authors: Ayonda Hayyuani  , Muhammad Taufiq Hidayat
Published: April 2024

The aim of this research is to examine the influence of human resource competence, use of information technology, government internal control system (SPIP) and use of SISKEUDES on accountability in village fund management, especially in villages in Sedati District. The method used in this research is a quantitative method with a population of 16 villages in Sedati District, while the sample is 9 villages in Sedati District. The test uses the Statistical Product and Service Solution (SPSS 22) application with multiple linear regression analysis, t test, f test and coefficient of determination (R2) test. The results of the research show that Human Resource Competency, Use of Information Technology, Government Internal Control System (SPIP) and Use of SISKEUDES have a significant positive effect on accountability in village fund management.
Đặc điểm sinh học, sinh thái của loài Thàn mát đen (Millettia nigrescens Gagnep.) tại Khu Bảo tồn thiên nhiên Sơn Trà – Đà Nẵng
Authors: Hằng Nguyễn Thị Thu , Toại Phạm Minh , Quỳnh Phạm Thị , Nghĩa Hoàng Kim , Minh Nguyễn Trọng , Thoa Phạm Thị Kim , Dũng Phạm Tiến
Published: April 2024

Nghiên cứu đặc điểm sinh học, sinh thái của loài Thàn mát đen (Millettia nigrescens Gagnep.) đươc thực hiện tại Khu Bảo tồn Thiên nhiên Sơn Trà. Sử dụng phương pháp điều tra theo tuyến và dựa vào 6 ô tiêu chuẩn (1000 m2) phân bố theo các đai cao từ 0 - 200 m, 200 – 400 m, > 400 m nhằm xác định cấu trúc rừng nơi có Thàn mát đen phân bố, đặc điểm hình thái và vật hậu được theo dõi dựa vào 10 cây trưởng thành điển hình. Kết quả cho thấy Thàn mát đen có những đặc điểm sinh học đặc trưng như: lá kép lông chim 1 lần lẻ, màu xanh nhạt, trục lá dài 15 - 17 cm, lá mọc cách, có 5 - 7 lá chét mọc đối hình trái xoan đầu lá nhọn, đuôi tròn, chiều dài lá chét từ 4,5 - 9,8 cm, chiều rộng lá chét từ 2,6 – 4 cm. Hoa tự chùm ở nách lá đầu cành, dài đến 20 cm, màu tím nhạt. Hoa nở từ tháng 4 đến hết tháng 5. Quả đậu hình lưỡi dao gồm 2 - 5 hạt đậu. Quả chín từ tháng 8 đến tháng 12. Hạt dễ nảy mầm hình thành lớp cây tái sinh xung quanh gốc cây mẹ. Loài Thàn mát đen thường phân bố tập trung thành quần thể, đặc trưng cho khu vực núi thấp < 400 m, trong rừng tự nhiên, dọc suối và dọc đường đi, khả năng hỗn giao của chúng với các loài khác là lớn. Mật độ Thàn mát đen chiếm tỷ lệ lớn tại khu vực chúng phân bố (21,7 - 25%).
INHIBITORY EFFECTS OF STERCULIA LYCHNOPHORA HANCE ETHANOL EXTRACTS ON BIOFILM FORMATION AND VIRULENCE FACTORS OF PSEUDOMONAS AERUGINOSA
Authors: Ta Ngoc Ly , Hung Hsin-Yi , Nguyen Tu Quyen
Published: April 2024

This study aimed to explore the inhibitory effects of dried fruit ethanol extracts of Sterculia lychnophora Hance (SLHe), a traditional medicinal plant known as Pangdahai, on biofilm formation and virulence factors of Pseudomonas aeruginosa. Screening of bioactive compounds extracted from Sterculia lychnophora revealed a strong binding affinity to anthranilate-CoA ligase (PqsA), which regulates genes involved in pyocyanin production and biofilm formation. The experimental investigation confirmed the inhibitory effects of SLHe on biofilm formation and its ability to disrupt existing biofilms. Additionally, SLHe exhibited reductions in pyocyanin production and protease activity of Pseudomonas aeruginosa. These findings indicate the therapeutic potential of SLHe as a natural alternative for treating bacterial infections, particularly those associated with bacterial biofilm formations.
ELUCIDATION OF ANTI-INFLAMMATORY ACTIVITY OF A NEW CYCLIC ALKALOID COMPOUND FROM ROOT BARK OF ZIZIPHUS NUMMULARIA (AUBREV.): IN VITRO, IN SILICO AND IN VIVO STUDIES
Authors: Dey Ray Sarbani , Dutta Sulagna , Sengupta Pallav , Madhu Nithar Ranjan , Das Nirupam , Ray Supratim , Kolesarova Adriana , Roychoudhury Shubhadeep
Published: April 2024

Inflammatory diseases present a significant burden to global health, often requiring targeted and specific therapeutic agents for effective management. Ziziphus nummularia (Aubrev.), a traditional medicinal plant, offers a potential source for these agents. This article aims to explore the anti-inflammatory potential of a novel cyclic alkaloid compound isolated from the root bark of Ziziphus nummularia. The cyclic alkaloid compound, [(16-methoxy-10-(3-methyl-butyl)-2-oxa-6, 9, 12-triaza-tricyclo [13.3.1.03, 7] nonadeca-1(18), 13, 15(19), 16-tetraene-8, 11-Dione], exhibited promising anti-inflammatory properties. The potential of this isolated compound (IC) was evaluated in vitro by measuring the levels of nitric oxide (NO), prostaglandin-E2 (PGE2), and tumor necrosis factor-alpha (TNF-α). Additionally, Absorption, Distribution, Metabolism, and Excretion (ADME) simulations and molecular docking to the TNF-α receptor were carried out for IC. In vivo evaluations of both the IC and its ethanolic extract (EE) were performed using carrageenan-induced paw oedema and arachidonic acid/xylene-induced ear oedema tests. The IC showed a higher inhibition of TNF-α compared to other compounds, reaching a maximum inhibition of 88.00% at a concentration of 50.11 μM. In silico analysis revealed that IC formed hydrogen bonds with residues, aspartate at position 45 (ASP 45) and glutamine at position 47 (GLN 47). The IC significantly attenuated oedema induced by carrageenan, xylene, and arachidonic acid. Hence, this compound may offer a potential therapeutic approach for treating inflammation in future clinical applications.
ULTRASOUND-ENZYME ASSISTED EXTRACTION OF POLYPHENOL AND AMYLASE ENZYME FROM VIETNAMESE RAMIE LEAVES: PREDICTIVE MODELING DEVELOPMENT AND OPTIMIZATION STUDY
Authors: Thi Kim Loan Le , The Vịnh Bui , Van Tai Ngo
Published: April 2024

Ramie leaves are rich in antioxidant polyphenols and amylase enzyme, which could be a good source for food applications. This study investigated the impact of combined ultrasound-enzyme treatment (U-EAT), including ultrasound intensity (10-30%), content of Viscozyme L. enzyme addition (0.5-1%) and extraction time (5-15 min) on polyphenol recovery, antioxidant activity, and amylase activity. The result revealed that U-EAT could enhance the efficiency of extraction, with a significantly higher yield of bioactive compounds and antioxidant capacity, and amylase enzyme activity compared to an untreated sample. Multiple regression analysis was applied to predict the efficacy of extraction through the values of total phenolic content, antioxidant activity and enzyme activity. The established models shown high accuracy in predicting the effect of the extracted conditions on the yield of the extraction of antioxidant and enzyme amylase. It was found that the maximum yield of extraction could be obtained when the operation conditions were ultrasound intensity of 26.5%, enzyme concentration of 0.87% and extraction time of 10.88 min. Under these optimal conditions, the highest values were found (TPC of 99.047 mgGAE/100 g, antioxidant activity of 65.02% and amylase activity of 45.36 U/mL). In summary, the findings indicate that the utilization of ultrasound combined with the enzymatic extraction process of polyphenol and amylase enzyme from ramie leaves holds potential for enhancing both the extraction yield and bioactivity of the extract. Further study should be concerned with the process of producing food ingredients or products from this extract.
ANTI-ASPERGILLUS NIGER ACTION OF BIOSYNTHESIZED SILICON DIOXIDE NANOPARTICLES ALONE OR COMBINED WITH MATRICARIA CHAMOMILLA L. EXTRACT
Authors: Baka Zakaria A. M. , El-Sharkawy Asmaa M. , El-Zahed Mohamed M.
Published: April 2024

Fungi are the most frequent microorganisms that cause seed damage throughout development, wreaking much more post- and pre-infections and significantly reducing seed quality. Conventional antifungal agents have failed to overcome a variety of Aspergillus spp. These strains have been associated with the development of high-potency mycotoxins, which cause mould infections in fruits and vegetables as well as harmful health effects. Different species, such as Aspergillus, Penicillium, Alternaria, and Fusarium were isolated from imported yellow corn samples; however, Aspergillus spp. was the most prevalent fungus. The current work attempts to synthesize novel, effective nanomaterials that are stable and antifungal by employing efficient approaches. An extract of Matricaria chamomilla L. was used in the biosynthesis of silicon dioxide nanoparticles (SiO2 NPs) at room temperature. Ultraviolet-visible spectroscopy (UV-Vis), Fourier transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), transmission electron microscopy (TEM), and Zeta analyses were used to characterize the biosynthesized NPs. The average size of SiO2 NPs was found to be 17-28 nm. TEM images were used to confirm the biogenesis of spherical-shaped, well-dispersed SiO2 NPs. The zeta potential graph shows that SiO2 NPs have a negative potential value (-31.0 mV). The antifungal activity of M. chamomilla L. extract, SiO2 NPs, and SiO2 combined with the extract was investigated against A. niger isolate compared to miconazole. SiO2 NPs combined with M. chamomilla L. extract revealed higher antifungal activity than SiO2 NPs, M. chamomilla L. extract, and miconazole with inhibition zones of 25±0.54, 17±0.37, 20±0.61 and 13±0.23 mm, respectively. This work provides a good alternate technique that is used as an antifungal agent, M. chamomilla L. extract supplemented with SiO2 NPs, against A. niger, the pathogen for humans and crop plants.
MEAT PERFORMANCE AND PHYSICOCHEMICAL EVALUATION OF PIGEON MEAT
Authors: Hascik Peter , Pavelková Adriana , Fik Martin , Bučko Ondřej
Published: April 2024

The aim of the work was to evaluate the meat performance, colour and basic chemical composition (g.100 g-1 of water, protein, fat, and cholesterol) of the breast and tight muscles (n=20) of the California pigeons. The L* values of the California pigeons ranged from 33.38 (breast muscle) to 43.63 (tight muscle) and significant differences (P≤0.05) were observed between the breast and tight muscle. The a* value ranged from 10.03 (tight muscle) to 14.77 (breast muscle). By evaluating the b* parameter, we observed a similar tendency as with the L* value. The highest values were measured in the tight muscle (11.50) and lower in the breast muscle (9.84). The proportion of breast (42.80%) and tight (14.90%) from the carcass weight of California pigeons is relatively high, and a high average carcass yield (71.12%) was also found. The water content varied from 70.51% (tight muscle) to 72.37% (breast muscle). The average protein content of breast and tight muscle was 23.68 g.100 g-1. The higher fat content was measured in tight muscle (2.95 g.100 g-1) and lower (1.21 g.100 g-1) in breast muscle. The cholesterol content in meat from California pigeons ranged from 0.044 g.100 g-1 (breast muscle) to 0.071 g.100 g-1 (tight muscle).
EFFECT OF THE ADDITION OF SELECTED HERBS ON THE TECHNOLOGICAL AND SENSORY QUALITY OF BEER
Authors: Solgajová Miriam , Dráb Štefan , Straka Dušan , Mendelová Andrea , Kolesárová Anna , Mareček Ján
Published: April 2024

The aim of this work was to enhanced functionality of beer with natural materials such as selected herbs from Lamiaceae family (salvia, oregano, wild thyme, lemon balm) and consequently to determine the impact of the addition of herbs on the technological parameters and sensory profile of beer. For purposes of this study a top-fermented beer was produced and herbs: salvia (Salvia officinalis L), oregano (Origanum vulgare L.), wild thyme (Thymus serpyllum L.) and lemon balm (Melissa officinalis L.) were used for beer fortification. The basic qualitative parameters of beer as real extract, alcohol content, pH, colour, total polyphenol content and antioxidant activity were determined. Results showed that in the analysed samples, the values of the actual extract ranged from 3.64 wt.% to 4.02 wt.%. Alcohol content ranged from 3.99 vol.% to 4.46 vol.%. Total polyphenol content was significantly increased by the herbs addition to beer. The content of phenolic substances increased the most in beer with oregano 801.63 mg GAE.g-1. Moreover, the antioxidant activity in beer samples enriched with herbs was significantly increased; it ranged from 50.30 mg TEAC.g-1 (control beer) to 78.17 mg TEAC.g-1 (beer with oregano). Values of antioxidant activity were positively correlated with the content of total polyphenols. Sensory evaluation of beer was conducted using a nine-level hedonic scale. Sensory analyses revealed that the most intense, pleasurable herbal aroma and taste was evaluated in beer with salvia. From the overall impression point of view beer enriched with wild thyme manifested the best performance.
English Corner: Training Reading and Writing Skills
Authors: Fadli Zul , Sirajuddin Nur Tasmiah , Wahditiya Andi Adriani
Published: April 2024

Pembelajaran bahasa Inggris menjadi semakin penting dalam konteks globalisasi saat ini. Salah satu faktor kunci dalam meningkatkan efektivitas pembelajaran bahasa Inggris adalah dengan memberikan variasi dalam materi pembelajaran. Artikel ini mengulas pentingnya penggunaan variasi materi dalam pembelajaran bahasa Inggris dan dampaknya terhadap kemajuan peserta. Variasi materi pembelajaran mencakup penggunaan teks-teks yang bervariasi dalam genre dan tingkat kesulitan. Ini membantu peserta untuk terbiasa dengan berbagai jenis teks dan memperluas kosakata mereka. Melalui variasi ini, peserta akan merasakan pengalaman membaca yang lebih beragam, mulai dari cerita pendek hingga artikel berita, esai, dan iklan. Artikel ini juga membahas manfaat dari penggunaan variasi materi, termasuk meningkatkan minat peserta dalam pembelajaran, menghindari kebosanan, dan memperkuat pemahaman mereka tentang struktur dan kosakata bahasa Inggris. Selain itu, penggunaan variasi materi juga dapat membantu dalam pengembangan keterampilan membaca dan menulis peserta, serta mempersiapkan mereka untuk berinteraksi dengan berbagai jenis teks di kehidupan sehari-hari. Dengan mengintegrasikan variasi materi dalam pembelajaran bahasa Inggris, institusi pendidikan dan pengajar dapat menciptakan lingkungan pembelajaran yang dinamis dan merangsang, yang membantu meningkatkan efektivitas pembelajaran dan kemampuan bahasa Inggris peserta.
Study on the Formation of Japanese Kaniarare Textiles
Authors: Xu Qiang , Zhao Feng
Published: April 2024

Kaniarare pattern (窠に霰文), a typical and representative design among the Japanese Yusoku patterns (有職文樣), becomes stylized at least during the 11th to 12th centuries in the late Heian period. The design of kaniarare pattern became stylized at least during the 11th to 12th centuries in the late Heian period, while the earliest known stylized kaniarare-mon silk fabric could be dated from late 13th century during the Kamakura period. Although the study of the trade and cultural exchanges between Song and Liao Dynasties and late Heian to early Kamakura Japan became more distinctive in the past decades, the transmission of silk art and relative impact on Japanese silk design have not been fully studied. By comparing with a few groups of extant and unearthed silk relics and connecting their relevancy, this article attempts to analyze the possible influence of silk design from the Liao to Song dynasties on Japanese silk design then and later.
ALGORITHM FOR SOLVING CUBIC POLYNOMIAL SPLINE INTERPOLATION TWO POINT BOUNDARY VALUE PROBLEMS
Authors: Tripathi Pankaj Kumar , Mishra Akhilesh Kumar , Trivedi Mayank
Published: April 2024

In this research paper we discuss the algorithm for solving cubic polynomial Spline Interpolation two point boundary value problems for Bickley’s method and numerical procedure for getting the approximate solution
TEXT MINING: TECHNIQUES, APPLICATIONS AND ISSUES
Authors: Gupta Subhash Chandra , Goyal Noopur
Published: April 2024

Day-to-day transactions made on digital world, produces a large volume of data which contains some valuable information. But they are not in visible but present in hidden form. These information are extracted by applying mining techniques considering the type of data source. Since most of the data sources are either unstructured or semi-structured nature and available in the form of text such as web pages, CSV files, PDFs, text files and rich text format files. Text mining techniques is used to discover the hidden information, called patters/ trends, from these unstructured text documents. Text mining has become an exciting field of research, and enhances its extraction capability with NLP, AI and machine learning algorithms. In this research paper, the general concept of text mining is discussed along with the procedure of text mining. A focus is also given on the techniques used for text mining and highlighted the application area of text mining. In last of the paper, a brief discussion is made on the challenges and issues of text mining too.
A REVIEW ON BRAIN TUMOR MRI IMAGE SEGMENTATION
Authors: Singh Anurag , Chauhan Prachi
Published: April 2024

A brain tumor represents one of the most perilous medical conditions. Consequently, swift and precise detection of brain tumors is imperative. Employing automated techniques for identifying brain tumor tissue aids in containing the proliferation of tumor cells within the system. MRI technology is utilized to capture high-resolution images of both the individual's anatomy and cancerous tissues, offering superior image quality compared to other imaging modalities. However, pinpointing brain tumors in MRI images poses challenges due to the intricate nature of the brain. Processing MRI images and segmenting brain tumors therein constitute complex tasks. Automated segmentation in image processing serves as a method for partitioning an image into distinct regions. This process stands as a critical and indispensable phase in the analysis of brain tumor magnetic resonance imaging. Moreover, the utilization of advanced image processing techniques facilitates the enhancement of MRI images, improving their clarity and aiding in the identification of subtle abnormalities associated with brain tumors. This enhanced image quality is particularly crucial for detecting small or deeply situated tumors that may otherwise go unnoticed.
IOT-BASED SMART ENERGY METER READING AND BILLING SYSTEM
Authors: Tripathi Santosh K , Maurya Swati , Kumar Ajeet , Raj Koshtubh S , Rawat Rajneesh
Published: April 2024

There has been rapid progress towards the development of smart cities in the recent past. A smart city is an urban area that uses advanced technology for efficient monitoring and managing of resources- with an aim of improving the quality of life of its residents, and also optimizing the cost and energy requirements. Focusing on energy related monitoring, the basic component which serves as the foundation for all data collection, analysis and automation is a smart energy meter. This paper takes a conventional energy meter and with few modifications like Arduino and GSM module added to it convert it into a smart energy meter. This smart energy meter is further enhanced with the use of Internet-of-Things (IoT). In order to transmit data over a GSM mobile network, such as consumed energy in kWh, generated bills, etc., the smart energy meter system will integrate an embedded controller (Arduino) with a GSM modem. The data collected from the user end can be provided to the Energy providers or Power companies, enabling them to monitor and control the services for their customers without the need for human labour can be achieved using IoT. Also integrating the smart meter with IOT, the user can access the data from anywhere in the world using an Id and Password provided to them. Our project will be helpful for major energy corporations to cut down extra labour cost and minimize the error and losses while also being User friendly.
Verbodenverklaring van rechtspersonen
Authors: van der Weele J.
Published: April 2024

Verbodenverklaring van rechtspersonen

Als het doel of de werkzaamheid van een rechtspersoon strijd oplevert met de openbare orde, kan het Openbaar Ministerie bij de civiele rechter een verzoek doen tot een verbod en ontbinding van die rechtspersoon. Het is interessant om te bezien welke normen de rechter hanteert om te komen tot een verbodenverklaring en ontbinding.