bluuebunny/crossref_metadata_2025 huggingface dataset:
COMPLICATIONS OF USING A DOUBLE-LUMEN ENDOTRACHEAL TUBE AND THEIR TREATMENT
Authors:   JSC «A.N. Syzganov National Scientific Center of Surgery», Almaty, Kazakhstan, Kuandykov T , Zharasbayev A , Mutagirov V , Sabitov T , Nurzhanov A , Tazhimurat G , Burkitbayev B , Zhenis B , Turlybek E , Shirinbay S , Stybay A , Bakytbek Zh , Dauletbayev D ,   JSC «A.N. Syzganov National Scientific Center of Surgery», Almaty, Kazakhstan
Published: May 2024

A 46-year-old woman, withheight 161 cm and weight 75 kg, underwent endoscopic resection of the esophagus with reconstruction of the gastrointestinal tract with a gastric tube (McKeown procedure). During the surgery a tracheal injury with a rupture of the membranous part revealed, which was considered as a complication regarding a double-lumen endotracheal tube installation. Clinically, the rupture remained asymptomatic during two hours of single-lung ventilation of the left lung and was visualized during the thoracoscopic stage of the surgery. The tracheal rupture was promptly repaired. In the postoperative period, the patient required prolonged lung ventilation through a laryngeal mask. Frequentbronchial fibroscopy was performed to verify the condition of the tracheal suture, its continuity, and to provide tracheobronchial sanitation in the intensive care unit. The application of a multidisciplinary approach to diagnose and treat a life-threatening complication as tracheal rupture in a short time allowed us to stabilize the patient’s condition and avoid the development of further complications.
An Exploration of Some Special Functions and their Applications
Authors:   Research Assistant Scholar, Applied Mathematics Research Group, BAUM TENPERS Institute, Lagos Nigeria., Peter Mfonobong Ukweso
Published: May 2024

Special functions are a class of mathematical functions that fall outside of ele-mentary functions. They have distinct properties and wide-ranging applications in areas such as engineering, applied mathematics, physics, statistics, economics, and finance. In this research paper, I study two popular special functions: the Gamma function Γ(m) and the Beta function β(m, n). I develop some of their important properties and results, prove these properties, and demonstrate some of their practical applications. Understanding the properties and applications of these functions is vital for solving mathematical problems that arise in practical modeling. This study sheds new light on the significance and versatility of Γ(m) and β(m, n), their applications, and mathematical properties.
Implementation of DOS Attack Using NS2
Authors:   Department of Information Technology, Anurag University, Hyderabad (Telangana), India., Lakshmi N. Naga , P. Karthik  ,   Department of Information Technology, Anurag University, Hyderabad (Telangana), India., Sai P. Shiva ,   Department of Information Technology, Anurag University, Hyderabad (Telangana), India., Vishal A. Sai ,   Department of Information Technology, Anurag University, Hyderabad (Telangana), India.
Published: May 2024

This paper presents a comprehensive study on the implementation of a Denial of Service (DOS) attack using NS2, a widely-used network simulator. The project involves the installation and configuration of NS2 and NAM on Ubuntu, the design of a realistic network topology, and the generation of TCP and UDP traffic to simulate a DOS attack. By evaluating the impact of the attack on network performance metrics such as throughput and latency, this study aims to enhance understanding of DOS attacks in simulated environments and propose effective mitigation strategies. The findings contribute to the field of network security by providing insights into the behavior of DOS attacks and highlighting the importance of proactive defense mechanisms.
Visual Fall Detection Analysis Through Computer Vision and Deep Learning – Technology Proposition
Authors:   Department of Computer Science, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, Hyderabad (Telangana), India., Dr. C Kiranmai  , B Srivalli  ,   Department of Computer Science Engineering, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, Hyderabad (Telangana), India., CH Komali  ,   Department of Computer Science Engineering, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, Hyderabad (Telangana), India., G Apurva  ,   Department of Computer Science Engineering, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, Hyderabad (Telangana), India., Yesshaswi B Sneha ,   Department of Computer Science Engineering, Yesshaswi, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, Hyderabad (Telangana), India.
Published: May 2024

Advances in modern medicine has increased humans’ life span. Orderly adults face mobility problems while aging. They feel less fit to continue any activity for short intervals too. This is due to declining fitness levels or muscle strength, diminished dexterity, and loss of balance. These symptoms lead to the fall of the individual and sometimes fatal too, if immediately not attended to. It’s an alarming issue for people staying alone. They may pose significant health risks and need immediate assistance. Fall detection technologies are majorly categorised as wearable sensors and ambient sensors. Fall detection wearable devices like pendant necklaces, watches and wristband devices, and clip-on medical alerts use accelerometers to detect rapid downward movements that can indicate a fall. They often also include manual alert buttons, for an increased accuracy. This requires technology comfort and awareness for usage. Ambient home sensors use video cameras to monitor the user’s movement and detect falls. When the fall is transmitted to a monitoring center, a representative typically will call the user to check on them before notifying contacts or calling for emergency services, but this can depend on the user’s preferences and risk factors. In this paper we propose a technology, using security cameras to record videos and create a video-based fall detection system. The system uses computer vision and deep learning algorithms to accurately recognize fall-related movements and distinguish them from regular activities. This system can be integrated to prompt alerts to emergency contacts, thus assisting in providing immediate aid to individuals who have experienced a fall. For higher accuracy, multiple-angle videos and multi-person tracking is integrated in this system to estimate the intensity of the fall for immediate attention. Thus, this fall detection system can contribute to the safety, well-being and independence of individuals at risk of falling.
Enhancing Contextual Masking in Reversible Linguistic Steganography with Ensemble Methods
Authors:   Department of Information Technology, Mepco Schlenk Engineering College, Sivakasi (Tamil Nadu), India., Meena Mrs. M. Prasha , N J S Deepalakshmi  ,   Department of Information Technology, Mepco Schlenk Engineering College, Sivakasi (Tamil Nadu), India., R Dharsni  ,   Department of Information Technology, Mepco Schlenk Engineering College, Sivakasi (Tamil Nadu), India., R Subashree  ,   Department of Information Technology, Mepco Schlenk Engineering College, Sivakasi (Tamil Nadu), India.
Published: May 2024

Various cybercrimes can be prevented by text authentication that is responsible for preserving digital identities and contents. Digital signatures come in handy as a way of authenticating texts, which is an extensively used method. One approach to this problem is linguistic steganography, which allows hiding the signature in other words within the text and thereby facilitating efficient data management. However, it should be noted that there is a danger that these kinds of changes may result in inappropriate decisions being taken by automated computing systems not to mention change their final outputs (unseen). As such, many people are becoming more concerned with the possibility of reversing steganography so that it becomes possible to eliminate any distortions made during the process. This paper uses Contextual masking instead of masking randomly with BERT model. The goal behind this research was developing a natural language text specific Reversible Steganographic System. Our model uses pre-trained BERT as a transformer based masked language model and reversibly embeds messages through predictive word substitution. To quantify predictive uncertainty, we introduce an adaptive steganographic technique using Bayesian deep learning. This experiment shows us how our proposed system balances imperceptibility with capacity while maintaining near semantics at all times. Also, we integrate ensemble methods instead of Monte Carlo to balance the imperceptibility.
Leveraging Cryptographic Hash Functions for Credit Card Fraud Detection
Authors:   Vice President, Software Engineer III Bank of America., Buddha Govind Prasad
Published: May 2024

Credit card fraud remains a significant challenge in the financial industry, posing substantial financial losses to both consumers and businesses. Traditional fraud detection methods often rely on rule-based approaches and statistical models, which may struggle to keep pace with evolving fraud tactics and sophisticated cyber threats. In this paper, we propose a novel approach to credit card fraud detection leveraging cryptographic hash functions. Cryptographic hash functions offer robust security guarantees, including collision resistance and preimage resistance, making them well-suited for ensuring the integrity and authenticity of transaction data. Our proposed system employs cryptographic hash functions, such as SHA-256, to generate unique hash values for credit card transactions. These hash values serve as digital fingerprints of the transaction data, enabling secure verification and auditing of transactions on the blockchain. We conducted experiments using a dataset of 100,000 credit card transactions, evaluating the performance of our system in terms of accuracy, precision, recall, and F1-score. The results demonstrate the effectiveness of our approach in accurately identifying fraudulent transactions while minimizing false positives. Furthermore, we discuss the implications of our findings and explore future research directions, including the integration of advanced cryptographic techniques and blockchain technology to enhance the security and privacy of credit card transactions. Overall, our study underscores the importance of cryptographic hash functions in building robust and secure fraud detection systems capable of combating emerging fraud threats in the digital era.
Zara Tech Trail: Futuristic Autonomous Robocart for Cutting-Edge Multi-Perspective Delivery System
Authors:   Department of Artificial Intelligence and Data Science, Prince Dr.K. Vasudevan College of Engineering and Technology, Chennai, India., Devendran M  , Palaniappan P.L  ,   Department of Artificial Intelligence and Data Science, Prince Dr.K. Vasudevan College of Engineering and Technology, Chennai, India., Priya R Shanmuga ,   Department of Artificial Intelligence and Data Science, Prince Dr..K. Vasudevan College of Engineering and Technology, Chennai, India.
Published: May 2024

The autonomous delivery system presented in this project utilizes a RoboCart equipped with GPS navigation to seamlessly transport products from source to destination. The system, powered by electric charging, ensures timely and secure delivery to end customers, featuring a specialized hand gripper for careful product handling. Designed for diverse applications such as commercial purposes, personal use, and industries including hotels, this fully autonomous cart incorporates a password enabled security feature to guarantee user verification. Positioned as a cutting-edge technological solution, this project aims to effectively address the last mile delivery challenge, presenting a potential to significantly reduce delivery times and contribute to societal benefits. The success of this initiative holds the promise of substantial positive impacts on the Society.
APPLICATIONS OF NANOTECHNOLOGY IN ANIMAL NUTRITION: A REVIEW
Authors: Idowu . A.O , Ojebiyi O.O. , Lateef A. , Odunsi A. , Ola A.K , Akinola A.O.
Published: May 2024

Nanoparticles are commonly used in human medicine but their applications in agriculture, animal nutrition and veterinary medicine are quite new. To meet the increasing demands on the livestock industry, synthetic antibiotics are the major substances that are used as growth promoters. However, the use of antibiotics as feed additives is risky due to cross-resistance among bacterial strains and residues in tissues of the animals which could be deposited in man after consumption of animal tissues. Thus, the use of most synthetic antibiotics has been banned in many countries in the world, leading to a reduction in usage and the search for alternative growth promoters with minimal or no residual effect has been intense in recent times. Many reports have suggested that nanoparticles may be good substances for animal growth promotion and antimicrobials because some nanomaterials can remove toxins and pathogens. They can also be better absorbed by animals, improving their performance and the quality of products. Nanotechnology can potentially transform the livestock sector because of better bioavailability, small dose rate, and stable interaction of the nanomaterials with other components. Therefore, using nanoparticles is a good alternate approach that is safe and cost-effective for the control of pathogenic microbes and production improvement in livestock. In view of recent developments, this review was undertaken to discuss issues relating to the use of nanomaterials in animal feeds
Low Power and High-Speed Multi-Threshold CMOS-Data Flip-Flop Design Validation on 90nm Technology Node Using EDA Tools
Authors: Banothu Bapuji , Surabhi Prahas , Sridhar Bommidi , Rakesh Ashangari , Venu Chettipally
Published: May 2024

The primary focus of Research VLSI Technology is to optimize power and Delay, so that a low power and High Speed Designs are obtained. The MTCMOS is one of the Such Promising CMOS Chip technology that uses transistors with multiple threshold voltages to optimize power and Delay. Subthreshold Leakage has brought down and achieved power optimization. In this article Multi threshold CMOS based Data Flip-Flop is Designed, analyzed and Validated on 90 nm Technology Node Using EDA Tools.
Decentralized Privacy-Preserving Federated Learning for Ultrasonic Nerve Image Segmentation
Authors: Vinjamuri Gowtham , Nayak Suvendu Chandan , Sahu Rekha , Shukla Raj Mani , Das Tapadhir
Published: May 2024

Currently, Federated Learning is a research approach where multiple parties can train a model together without sharing each other’s data to solve complex problems in machine learning. Ultrasound Nerve Segmentation is a computer vision technique that automatically identifies and segments nerve structures in ultrasound images. This technique is particularly important in medical applications where accurate localization of nerves is crucial, such as during anesthesia, nerve blocks, or surgical procedures. Ultrasound Nerve Segmentation can help doctors find nerves better during medical procedures. This could make patients feel better and have better results. Talking about surgery can make even brave patients scared because it hurts and can cause a lot of pain afterward. To reduce pain, people use drugs called narcotics, but these drugs can have bad side effects. The goal of this project is to improve pain management by using indwelling catheters that block or reduce pain at its source. These catheters reduce the need for painkillers and hasten patient healing. It is crucial to precisely identify nerve structures in ultrasound images to guarantee the exact insertion of a patient’s pain management catheter. We attempt to build an algorithm that can recognize nerve structures in a dataset of neck ultrasound images in this study. To do this, we created a U-net architecture model that will accept an image as input and forecast an image with the source of the pain highlighted as the output. Achieving this objective would improve catheter placement precision and help in the future with reduced pain.
The use of innovative contracts to provide agri-environmental public goods: Comparing attitudes between Ireland and other European countries
Authors: Bradfield Tracy , Hennessy Thia , D'Alberto Riccardo , Haltia Emmi
Published: May 2024

Results-based, collective action, value chain, and land tenure contracts are means to improve the management of agri-environmental public goods. The objective of this paper is to assess the understandability, applicability, and perceived economic benefit of each of these contract types by land managers and stakeholders in twelve European countries, with a special emphasis on Ireland. Using survey data, we find that most land managers agree that results-based contracts are understandable, applicable to their farm, and economically beneficial. A lower portion of land managers in Ireland than other European countries agree that value chain and land tenure contracts are understandable or applicable to their farms. The results suggest that greater efforts are required to promote collective action contracts across Europe as they are paramount to the management of public goods. To increase the adoption of innovative contracts, providing financial certainty and autonomy should be prioritized by policymakers, particularly in Ireland.
BAMBINI E LETTURA DIGITALE: SERVE ANCORA IL SUPPORTO DELL’ADULTO?
Authors: Nardi Andrea
Published: May 2024

L’obiettivo della presente revisione della letteratura è quello di indagare l’efficacia della guida alla lettura dei libri elettronici, cercando di comprendere cosa avviene quando adulti e bambini leggono insieme su questi nuovi dispositivi di lettura, e se il supporto dell’adulto sia ancora necessario. I risultati mostrano sia opportunità di innovazione sia diversi fattori di rischio. Gli elementi multimediali e l’interattività sembrano produrre un abbassamento dei livelli cognitivi: la maggior parte degli studi analizzati mostra l’effetto distraente generato da un loro eccessivo uso e l’impatto positivo della guida dell’adulto. Tra tutte le tipologie di mediazione e supporto, la lettura condivisa del formato cartaceo è quella che ottiene il maggior grado di efficacia. La guida dell’adulto conferma di essere uno dei fattori che influenzano maggiormente l’efficacia della lettura di libri elettronici, e la combinazione vincente risulta essere la lettura di libri elettronici educativi con l’adulto. Vengono discussi i risultati.
The purpose of the present literature review is to investigate the effectiveness of reading guidance with electronic books, trying to understand what happens when adults and children read together on these new devices, and if adults’ support is still necessary. The results show both opportunities for innovation, and several risk factors. Multimedia elements and interactivity appear to produce a decrease of cognitive levels: the majority of studies analyzed in this paper shows the distracting effect generated by their excessive use, and the positive impact of adult guidance. Among all types of mediation and support, the shared reading of paper format is the one which obtains the highest degree of effectiveness. The adult guidance proves itself to be one of the factors that mostly influences the effectiveness of reading electronic books, and educational-e-book-plus-adult seems to be the winning combination. Findings are discussed.
Records Tumble in the Beetaloo as Empire Energy Recalibrates for New Shale Gas Targets
Authors: Granger Dale
Published: May 2024

ASX-listed Empire Energy has hit definitive targets aimed at replicating the shale revolution of prolific regions of the United States in Australia’s most exciting emerging hydrocarbon basin – the Beetaloo Sub-basin.
Persepsi Mahasiswa Fakultas Kedokteran Terhadap Lingkungan Belajar Menggunakan Dreem (Dundee Ready Education Enviroment Measure)
Authors: Lengkong Jeffry S.J , Pangemanan Damajanty H. C. , Puk Jimmy Rumam , Engka Joice N. A. , Kaligis Stefana H. M.
Published: May 2024

Lingkungan belajar merupakan salah satu faktor penting yang dapat mempengaruhi keberhasilan mahasiswa dalam belajar. Lingkungan belajar yang baik dapat menciptakan suasana yang kondusif untuk belajar, sehingga mahasiswa dapat belajar dengan lebih efektif dan efisien. Penelitian ini bertujuan untuk menganalisis persepsi mahasiswa Fakultas Kedokteran terhadap lingkungan belajar menggunakan DREEM (Dundee Ready Education Environment Measure). Penelitian ini menggunakan metode penelitian deskriptif-analitik dengan pendekatan studi cross sectional. Populasi penelitian ini adalah mahasiswa fakultas kedokteran di Universitas X, sampel dipilih menggunakan teknik purposive sampling. Teknik pengumpulan data pada penelitian ini menggunakan studi literatur dan kuesioner menggunakan Dundee Ready Educational Environment Measure (DREEM). Analisis  Data menggunakan metode uji Pearson. Hasil penelitian menunjukan bahwa 168 (84%) mahasiswa Fakultas Kedokteran memiliki persepsi yang cenderung positif. Terdapat hubungan yang signifikan antara persepsi mahasoswa fakultas kedokteran terhadap lingkungan belajar dengan nilai uji p= 0,054 (p>0,5). Penelitian menyimpulkan persepsi mahasiswa Fakultas Kedokteran terhadap lingkungan belajar adalah positif. Hal ini menunjukkan bahwa lingkungan belajar di Fakultas Kedokteran Universitas X secara umum sudah baik dan mendukung keberhasilan mahasiswa dalam belajar.
Efficacy of Ranibizumab in the Treatment of Macular Edema Secondary to Retinal Vein Occlusion
Authors: Tunçbilek Zehra , Ayrancıoğlu Bedriye Nur , Önder Ayşe Feyza
Published: May 2024

Objective: Branch retinal vein occlusion (BRVO), a major cause of vision loss, is a significant ocular health concern. The frequency of macular edema due to BRVO is a critical area of study because of its profound impact on patient quality of life. This study investigated the effectiveness of ranibizumab, a monoclonal antibody fragment and VEGF inhibitor, in the treatment of macular edema in patients with BRVO.
Material and Methods: Twelve patients (12 eyes) diagnosed with macular edema secondary to BRVO were included in this study. Patients were selected on the basis of specific visual acuity and macular thickness criteria, excluding those with other ocular conditions or systemic diseases. 0.05 milligrams of ranibizumab was administered intravitreally to each patient. Ophthalmological assessments were conducted both before and after the injection and at 1, 2, 3, and 6-month intervals following medication administration.
Results: The average follow-up duration was 5.5±1.16 months (ranging from 2 to 6 months). The average central macular thickness before the injection was 542.66±191.44 µm, which decreased to 320.50±101.44 µm at 1-month post-injection, 283.66±125.01 µm at 2 months, 299.40±91.52 µm at 3 months, and 260.90±144.97 µm at 6 months. The reduction in central macular thickness at all time points was statistically significant (p<0.01). The mean Early Treatment Diabetic Retinopathy Study (ETDRS) letter score was 55.83±23.91 before the injection and improved to 71.25±17.07 at 1 month, 74.33±15.97 at 2 months, 66.7±21.60 at 3 months, and 71.2±17.38 at 6 months post-injection. The increase in visual acuity at 1, 2, 3, and 6 months after the injection was statistically significant compared to the pre-injection ETDRS letter scores (p<0.05). An improvement of two or more lines in visual acuity was observed in 58.3% of cases at 1 month, 58.3% at 2 months, 50% at 3 months, and 80% at 6 months (one line equivalent to five letters).
Conclusion: Intravitreal Ranibizumab injections have been found to be effective and reliable in the early stages of treating macular edema due to branch retinal vein occlusion.
Review on Sanskrit Sandhi Splitting using Deep Learning Techniques
Authors: H S Sreedeepa , M Alok Nath , Ajay K Mani  , C Arun Kumar , Idicula Sumam Mary
Published: May 2024

A procedure called sandhi is used in Sanskrit to join short words (morphemes) to create compound words. A composite word are broken down into their component morphemes by a process known as sandhi splitting. This study focuses on several performance technologies and methodologies used to perform the above operation on Sanskrit sentences. Various approaches were identified for the problem from the literature survey. Initial approaches involved use of Finite State Transducers. Earlier the approaches introduced to increase accuracy include use of mathematical models and various optimality theories. Graph based approaches and parser based techniques were introduced later. With the advancement of deep learning techniques Recurrent Neural Networks, Long-Short Term Memory models and Double decoder models were adopted which involved training machine learning models through neural networks and classifier algorithms. Bidirectional LSTM models with attention mechanism, transformer based models and large language models like BERT were the most recent methodologies adopted and proved to be of higher accuracy and performance.
Password based Smart Doorlock System using Arduino UNO for Enhanced Security
Authors: Vinodhini S. , S Gnanavarshini , Eby Sheryl , PA Divya Prapanjani
Published: May 2024

In recent years, the demand for secure access systems has increased significantly, especially in residential and commercial areas. Hence, this presents the design and implementation of a password-based door lock system using an Arduino microcontroller and a servo motor. The system provides a cost-effective and reliable solution for managing access to physical sites. The proposed system uses an Arduino microcontroller as the central device to control the authentication process and to control the servo motor that operates the door locking mechanism. A matrix keyboard is used to enter the password, which provides a user-friendly interface for communication. The servo motor is responsible for physically locking and unlocking the door mechanism based on the authentication result. The operational workflow of the system requires the user to enter a predetermined password using a keyboard. The Arduino microcontroller compares the entered password with the password stored in its memory. After successful authentication, a servo motor is operated to open the door, allowing access to the authorized person. Conversely, failed authentication will result in access being denied.
Real-Time Fire Surveillance with Machine Learning Twilio Integration
Authors: Imogen P. Vimala , Rakshana R. , Kaviya M. , Sharmila S.
Published: May 2024

Fire threats pose significant risks to people and property, necessitating efficient surveillance systems. A complete fire surveillance system is proposed using machine learning and artificial intelligence to monitor fire incidents in real time. The system is built using React.js for frontend development and MongoDB for backend storage. Node.js is integrated for server-side operations, ensuring data management and user interaction. The system sends alerts via WhatsApp when image analysis identifies a fire concern, leveraging Twilio for seamless messaging. Robo Flow simplifies computer vision model management, while YOLOv8, a cutting-edge object recognition algorithm, enhances detection speed and accuracy. YOLOv8 is widely used in real-time object identification applications like robotics, autonomous cars and surveillance systems. Twilio is a cloud communication platform that allows developers to integrate voice, video, and SMS into their apps, enabling notifications, alarms, and two-way communication. The research utilizes Machine Learning, React.js, MongoDB, YOLOv8, and Twilio to offer efficient real-time fire surveillance.
Enhancing Road Safety: A Driver Fatigue Detection and Behaviour Monitoring System using Advanced Computer Vision Techniques
Authors: Chadha Ramneet Singh , Jugesh  , Singh Jasmehar
Published: May 2024

Driver drowsiness is a major hazard to road safety, necessitating the development of reliable detection technologies. This study describes a revolutionary driver fatigue detection system that uses cutting-edge computer vision technologies. This system uses the MediaPipe framework for accurate face and hand detection and the Eye Aspect Ratio (EAR) for drowsiness detection. Furthermore, it uses the OpenCV solvePnP function for estimating rotation vector, and converting it to a rotation angle of the head, to check driver attention. By continuously monitoring these indicators, when the system successfully detects any instances of driver tiredness or inattention, it records his or her behavior and delivers notifications to help prevent accidents. This study helps to improve road safety by utilizing cutting-edge computer vision techniques to prevent driver fatigue and boost attentive driving practices.
Deciphering the Digital Healthscape: Unveiling the Intricacies of the Internet of Medical Things (IoMT)
Authors: Ara Gulafshan
Published: May 2024

Through the integration of networking, data analytics, and medical devices, the Internet of Medical Things (IoMT) has revolutionized patient care and healthcare administration. Presented here is extensive study on IoMT that sheds light on its impact on healthcare settings, including its origins, technical foundations, uses, security worries, interoperability problems, and potential future developments. The evolution of IoMT began with the integration of internet connection with medical devices and continues with the complex and linked environment of today. This shift in thinking makes possible preventative healthcare, individualized treatment plans, and remote patient monitoring. Technologies for data storage, networking, and sensors are the backbone of IoMT. Streamlined connection, real-time data transmission, and a robust IoMT architecture for healthcare applications are all described in the article. Remote patient monitoring and the management of chronic illnesses are two areas where IoMT finds application in healthcare. Literature show how IoMT describes a data-driven, proactive, and personalized healthcare delivery strategy that improves patient outcomes, treatment adherence, and resource utilization. The research addresses important topics related to IoMT, such as healthcare privacy and security. Securing IoMT and bolstering trust in connected healthcare are the goals of research into encryption, access controls, and data protection regulations. To implement IoMT, interoperability concerns must be addressed. The essay delves into the difficulties of integrating IoMT devices and systems, as well as the necessity of standardized frameworks to facilitate data sharing and interoperability. Future advances in the IoMT, such as the integration of AI and blockchain for security, are predicted in the research. The paper highlights the potential of IoMT to impact healthcare delivery and address global healthcare concerns. This study demonstrates the transformation of IoMT to academics, healthcare professionals, and policymakers. Keyword :Internet of Medical Things (IoMT), Digital Healthscape, Remote Patient Monitoring, Data Analytics, Security, Interoperability, Future Trends
Evaluación del turismo regenerativo en México: el Flow Map como herramienta metodológica
Authors: Miroglio Gouin Manuel Julien , Piñar-Alvarez María de los Angeles , Moreno Saucedo Beatriz del Carmen , García-Contreras Rigoberto
Published: May 2024

El turismo regenerativo es una visión emergente que invita a rebasar el concepto de sostenibilidad turística con un enfoque más holístico, cuyo propósito fundamental es la regeneración ambiental y social de los territorios.
La literatura consultada muestra escasez de desarrollo conceptual y limitada comprensión de sus fundamentos y herramientas para guiar la práctica y aplicación concreta en el territorio. Para remediar a eso, la Iniciativa Global de Turismo Regenerativo (IGTR) diseñó y lanzó en 2021 el Flow Map, una herramienta de autodiagnóstico y de diseño de turismo regenerativo, que permite guiar a los emprendedores y gestores de destinos en sus esfuerzos de entendimiento y de implementación de sus principios en sus destinos y productos turísticos.
El objetivo de esta investigación es evaluar la percepción de los primeros usuarios del Flow Map en cuanto a su uso y aplicación. El método utilizado es mixto (cualitativo y cuantitativo) con un abordaje inductivo e interpretativo. Las técnicas fueron la encuesta y la entrevista, haciendo uso de dos instrumentos, un cuestionario y una guía de entrevistas a profundidad. Estas herramientas se aplicaron al caso de estudio Reconextour en León, Guanajuato.
Los resultados muestran la percepción de utilidad de esta herramienta, demostrando que sirve de guía metodológica para evaluar e implementar proyectos basados en principios de turismo regenerativo con un enfoque bioantropocéntrico.
Modelo conceptual para el desarrollo de capacidades empresariales en la empresa social indígena de turismo de naturaleza
Authors: Muñoz Ortega Selene , Briones Juárez Abraham
Published: May 2024

El gobierno mexicano ha impulsado programas destinados al desarrollo de zonas indígenas a través del turismo de naturaleza, dando lugar a la creación de empresas sociales, las cuales se enfrentan con situaciones adversas que requieren del desarrollo de capacidades empresariales para contrarrestar los embates del dinamismo de un mercado turístico competitivo. Dado que estas empresas tienen la posibilidad de ampliar su capital social a través de las relaciones con otros actores para atraer apoyos y conocimientos, el propósito de esta investigación consiste en determinar las relaciones de la empresa social indígena dedicada al turismo de naturaleza que se ubica en el Valle del Mezquital, una zona del estado de Hidalgo, México, y resaltar las disfuncionalidades generadas en el proceso de transmisión de conocimientos enfocados al desarrollo de capacidades.
Para ello, se utiliza el enfoque de sistemas mediante la metodología de los sistemas suaves, ya que permite un acercamiento holístico para proponer un modelo conceptual sobre el funcionamiento deseable del sistema. Los hallazgos muestran la falta de coordinación entre los actores, el escaso interés con relación al desarrollo de estas capacidades, así como, la casi nula colaboración entre pares; estas cuestiones propician las definiciones raíz y los cambios factibles detectados en el modelo conceptual planteado. Concluimos que la metodología de los sistemas suaves es una herramienta que permite desglosar la complejidad que guarda el capital social indígena y permite identificar aspectos de mejora sobre los aspectos analizados.
EXPLORING THE ASSIMILATION OF SELF-LEARNING & INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) IN HIGHER EDUCATION: COVID-19 PANDEMIC PERSPECTIVE IN INDIA
Authors: Dr. Ujjwal Paul
Published: May 2024

This article delves into the evolving landscape of ‘Self-learning’ within the area of higher education in India. With the proliferation of technology and digital resources, ‘Self-learning’ has emerged as a prominent alternative or complement to traditional classroom-based education. The article reviewed and examines the drives behind the rise of self-learning, including the accessibility of online platforms, the demand for flexible learning opportunities, and the need for continuous skilling in a rapidly changing world. Furthermore, it explores the challenges and opportunities associated with self-learning in the Indian context, such as issues of digital divide, quality assurance, and recognition of self-taught skills. Now-a-days Distance mode of education (non formal education) in Higher Education is very much popular and effective in India and the Self-learning concept is very much essential for achieving the goal. This paper reviews the existing literature on the connection of self-learning and Information and Communication Technology (ICT). With the proliferation of digital tools and platforms, ICT has significantly influenced self-learning practices, enabling learners to access resources, collaborate with peers, and personalize their learning experiences. Reviewing previous empirical studies, theoretical frameworks, literatures this study is aimed on the impact of ICT on various aspects of self-learning, including accessibility, engagement, effectiveness and inclusivity. Additionally, it explores the barriers hindering effective implementation, including issues of accessibility, digital literacy, and privacy concerns. The COVID-19 pandemic has disrupted education systems worldwide, prompting a rapid shift towards remote and self-directed learning modalities. In India, where the pandemic has exacerbated existing educational inequities, self-learning has emerged as a critical strategy to ensure continuity of education. This paper also discussed the impact of the COVID-19 situation on self-learning in India, exploring the challenges faced by learners and educators, as well as the opportunities for innovation and suggestions for enhancement.
KEYWORDS: Self-learning, Higher Education, ICT, COVID-19, Online-Learning, Digital Resource, Digital divide, Distance Education
THE EFFECTIVENESS OF BODY WEIGHT SUPPORTED TREADMILL TRAINING IN IMPROVING THE LOWER LIMB FUNCTIONS IN ACUTE STROKE PATIENTS
Authors: S. Fayaz  , Dr.Prasanna Mohan  , Dr.Prabhu Sanker
Published: May 2024

Background: A stroke can profoundly affect the functionality of the lower limbs. It can greatly influence a person’s ability to walk and maintain balance. disruption of the brain’s ability to control muscle movements, which is often a consequence of a stroke. No published studies focused on Body weight-supported treadmill training in improving lower limb functions. However, body weight treadmill training has proven successful in improving the lower limb functions of acute stroke patients.
Aim: To examine the effects of body weight-supported treadmill training in improving the gait and balance in acute stroke patients.
Methods: A comprehensive research on Pubmed, Medline, Google Scholar, and Science Direct databases using specific keywords stroke, interventions used in stroke, lower limb functions, and physiotherapy evidence-based database was utilized for quality assessment.
Results: This review included ten studies; the findings of this review demonstrate that body weight-supported treadmill training will improve the lower limb functions of acute stroke patients.
Conclusion: The results of this review offer abundant proof that body weight-supported treadmill training improves lower limb function in patients suffering from acute stroke.
KEYWORDS: Treadmill training with weight support, stroke, evidence-based practice, lower limb functions, and evidence-based physiotherapy
Çocuk Evlerinde Bakım Personeli Olarak Çalışan Ebeveynlerin Algılanan Sosyal Destek Düzeylerinin İncelenmesi
Authors: İnce Keser Esma , Demircioğlu Haktan
Published: May 2024

Bu araştırmada, çocuk evlerinde bakım personeli olarak görev yapan ve 2-12 yaş arasında çocuğu olan ebeveynlerin algılanan sosyal destek düzeylerinin incelenmesi amaçlanmıştır. Araştırmada amaçlı örnekleme yöntemi kullanılmış olup Türkiye’yi temsilen NUTS 2 (26 alt bölge) illerinde Aile ve Sosyal Hizmetler Bakanlığının bünyesinde bulunan Çocuk Evleri Koordinasyon Merkezlerine bağlı Çocuk Evlerinde bakım personeli olarak çalışan 505 ebeveyn (442 anne, 63 baba) çalışmanın örneklemini oluşturmuştur. Araştırma verileri “Gönüllü Katılım Formu”, “Çocuk/Ebeveyn Bilgi Formu”, “Çok Boyutlu Algılanan Sosyal Destek Ölçeği” ile toplanmıştır. Farklı demografik değişkenlere göre ölçek puanlarının farklılaşıp farklılaşmadığı saptanmıştır. Verilerin analizinde bağımsız gruplar için t testi ve tek yönlü varyans analizi (ANOVA) kullanılmıştır. Çalışma sonucunda, bakım personeli olarak çalışan ebeveynlerin algılanan sosyal destek düzeylerinin, ebeveynlerin; çocuğunun yaşına, kendi çocuğunun bakımından sorumlu olan kişiye, çocuğunun duygusal ihtiyaçlarını karşılama düzeyine, çocuğuyla sorun yaşama sıklığına, çocuk gelişimi ve eğitimi konusunda bilgi düzeyine göre farklılık gösterdiği saptanmıştır (p
СТАН ВИКОРИСТАННЯ СЛУЖБОВОЇ ІНФОРМАЦІЇ ОРГАНАМИ
ДЕРЖАВНОЇ ВЛАДИ УКРАЇНИ ТА ЇЇ ЗАХИСТ
Authors: Погребець Ю.М.
Published: May 2024

В даній статті розглянуто стан використання службової інформації органами державної
влади України, її поширення та збереження від несанкціонованого використання.
У статті висвітлено правову природу та джерела правового регулювання правового режиму
службової інформації в Україні та стан її використання органами державної влади в умовах
адаптації українського законодавства до законодавства Європейського Союзу.
THE FORMATION OF COMPETITIVE ADVANTAGES DUE TO THE ACTIVATION
OF INNOVATIVE DEVELOPMENT OF THE ENTERPRISE
Authors: Maistrenko Yuliia , Maistrenko Gnat
Published: May 2024

У статті обґрунтовано послідовність формування конкурентних переваг на основі інноваційного розвитку підприємства. Визначено, що сучасною умовою формування та досягнення конкурентних переваг на основі інноваційного розвитку є ефективна дія механізму забезпечення
цього процесу у господарській системі. Під останнім пропонується розуміти порядок функціонування відкритої динамічної системи організаційно-економічних заходів, спрямованих на
інноваційний розвиток у всіх функціональних сферах промислового підприємства і одночасно
на запобігання загроз стійкості конкурентних переваг з боку конкурентів, при неухильному
управлінні базовими компонентами, які складають його концептуальну і регламентуючу основу.
Механізм припускає використання відповідного інструментарію, що дозволяє за допомогою
адміністративних і економічних важелів реалізувати інноваційний потенціал підприємства і
забезпечити його конкурентоспроможність та економічний розвиток.
Доведено, що досягнення взаємодії й узгодженості впроваджуваних заходів у інноваційній
та інвестиційній сферах має бути спрямоване на одержання, збереження і розподіл засобів
виробництва, забезпечення пошуку нових видів продукції й послуг, прогресивних перетворень
у сфері виробництва, тобто ефективне управління НДР і інноваційною діяльністю. Це стає можливим завдяки інституційному та фінансовому забезпеченню конкурентоспроможності вітчизняного виробника.
МОДЕЛЮВАННЯ ДІЯЛЬНОСТІ ПІДРОЗДІЛІВ ФІНАНСОВОЇ
РОЗВІДКИ В УМОВАХ ВІЙНИ.
Authors: Куриліна О.В.
Published: May 2024

Одним із найважливіших і ефективних інструментів у боротьбі проти фінансової злочинності
є фінансова розвідка. Це галузь, яка займається збиранням, обробкою та аналізом фінансової інформації, щоб виявляти фінансові кримінальні правопорушення, зокрема терористичну
фінансову злочинність. В Україні функціонує певна модель фінансової розвідки (Державна
служба фінансового моніторингу). Війна внесла свої суттєві корективи щодо діяльності фінансової розвідки, формуванню її цілей діяльності. Ні один світовий досвід не може бути використаний, оскільки таких випадків ще не було.
Однією з державних інституцій яка буде реалізовувати виконання цього закону є Державна
служба фінансового моніторингу. В свою чергу, її структура, завдання та повноваження на наш
погляд вимагають суттєвого вдосконалення.
Зараз світові інституції вправі використовувати різні інструменти та джерела фінансової
розвідки, включаючи технології, бази даних, інформацію від звичайних громадян та різних груп
зацікавлених сторін. Ці інструменти дозволяють створювати великі бази даних, відстежувати
рух коштів та виявляти підозрілу фінансову діяльність. Також, центральні банки, фінансові
установи та регуляторні органи відіграють важливу роль у боротьбі з фінансовою злочинністю.
Вони мають здатність відслідковувати фінансову діяльність, включаючи транзакції з великими
сумами грошей та інші підозрілі операції. Національні правоохоронні агентства та міжнародні
організації також відіграють важливу роль у боротьбі з фінансовою злочинністю. Вони співпрацюють для обміну інформацією, координації зусиль та вживання заходів щодо запобігання
терористичній фінансовій злочинності.
Одним словом, для ефективної боротьби з терористичною фінансовою злочинністю необхідно вживати комплексних заходів, таких як співпраця між країнами, вдосконалення законодавства та правової бази, застосування новітніх технологій, залучення громадськості та проведення навчань та тренінгів.
Отже, фінансова розвідка є невід’ємною складовою безпекової політики держави та допомагає захищати національну економіку від злочинних впливів.
У сучасних умовах війни фінансові розвідки стають одним із основних напрямків роботи
спецслужб. Завдяки їм можна виявляти і зачіплювати живі і неживі активи терористів та розкривати їхню фінансову структуру.
Pensamento fracionário parte-todo no 4º ano do Ensino Fundamental: um debate com crianças a partir de seus erros
Authors: Wolter Líslei Rutz , Moraes João Carlos Pereira de
Published: May 2024

Esta pesquisa objetiva analisar o processo de debate sobre o conceito de fração parte-todo, a partir da perspectiva da análise de erros, com alunos do 4º ano do Ensino Fundamental de uma escola estadual de Canguçu/RS. O estudo foi realizado com 29 alunos por meio de uma intervenção pautada na ideia de parte-todo, relacionada ao pensamento fracionário. A análise dos dados foi constituída em uma perspectiva descritiva-narrativa, na qual se realiza uma análise processual. Como resultado, evidenciou-se que a análise de erro permitiu um processo reflexivo sobre o conceito de fração, gerando uma cultura em sala que traz o questionamento como atividade do aluno. Além disso, ressaltou-se a reflexão de ideias no pensamento fracionário, tais como parte e totalidade e diferentes representações de frações. Conclui-se que essa ação potencializou a construção do conceito de fração e o desenvolvimento de compreensões mais elaboradas sobre a temática.
A avaliação da aprendizagem em Matemática: práticas e reflexões em tempos de pandemia
Authors: Nascimento Francisca Rayane Pereira do , Sousa Francisco Jucivânio Félix de , Del Pino José Claudio
Published: May 2024

O presente trabalho buscou investigar os conceitos de avaliação da aprendizagem e os processos avaliativos do ensino e aprendizagem de Matemática em tempos de pandemia, no período letivo de 2020 e 2021, em uma escola pública de Ensino Médio na cidade de Ararendá/CE. Os participantes da pesquisa foram três professores de Matemática da referida escola. A metodologia é de caráter qualitativo – optou-se pela aplicação de questionário elaborado por meio da ferramenta Google Forms e enviado via link ao WhatsApp dos participantes da pesquisa. A construção deste trabalho possibilitou conhecer quais eram os recursos tecnológicos utilizados no ensino remoto, no período letivo de 2020 e 2021 e, segundo os docentes, analisar sua eficácia no processo avaliativo da aprendizagem dos discentes em Matemática na referida escola pública.