bluuebunny/crossref_metadata_2025 huggingface dataset:
Evolution of Unmanned Aerial Systems and Inconsistencies Between Strategies, Concepts, and Technology
Authors: Aldemir Huseyin Onder
Published: March 2024

Unmanned aerial systems (UAS) are undoubtedly a rising value that marked the 21st century in the aviation industry. Recently, both the high and precise technology used in aviation and the rapid development of artificial intelligence have enabled these remotely controlled aircrafts to find widespread use in the civilian field. Even these smart technologies and artificial intelligence transformed the UAS into different forms like flying swarm in the airspace and Urban Air Mobility (UAM) which comprises passenger and cargo transportation without pilot in metropolitan cities. In this chapter, the technological evolution of UAS is examined in the historical process, the components that make up UAS are explained, and UAS classification considering various characteristics with different aspects is detailed. Finally, issues resulting from strategies, concepts, and regulations falling behind evolving UAS technologies with aviation management perspective are discussed.
The Synergy Between Tourism, Aviation, and Digital Transformation
Authors: Şahin Gonca Güzel
Published: March 2024

This chapter explores the profound impact of digital transformation on the tourism and aviation sectors, highlighting the necessity for a comprehensive digital strategy in response to global changes. The tourism industry, in particular, is undergoing a paradigm shift, leveraging technological advancements such as mobile applications, social media, and digital platforms to enhance customer satisfaction, experience, and overall competitiveness. Within the aviation sector, digital developments span smart maintenance, risk management, air traffic optimization, and customer relations, all aimed at improving operational efficiency and passenger experience. The interconnectedness of tourism and aviation is evident in the increasing role of air travel, accounting for over 52% of global tourist movements. The chapter delves into the historical evolution of this symbiotic relationship, emphasizing the pivotal role of innovations, increased connectivity, and affordability in fostering tourism growth.
Introduction to Modern Cryptography and Machine Learning
Authors: Mathews Preeti Mariam , Gaikwad Anjali Sandeep , Uthaman Mathu , Sreelekshmi B. , Dankan Gowda V.
Published: March 2024

Cryptography and machine learning are part of mega-tech today. The whole of this chapter is about digital currencies. This is what will happen in the encryption world. First, the authors show how to use PMBeast-1 for something and then later on with bitcoin cryptography where information privacy is concerned. The objective of cryptography is to make data impossible for a human eye by encryption so that only someone in possession of the secret key can determine their length. Yet cryptography is ancient. But actually, it's only within the last few hundred years that their methods and purpose have completely changed. Later parts of this chapter review some recent advances in areas such as symmetric and asymmetric encryption, public-key infrastructure (PKI), and cryptographic hashes. In this way, information becomes one's tutor—machine-like learning. The only difference is that we want these next-generation machines to understand the process of machine learning so as to enhance encryption systems.
Artificial Intelligence-Supported Bio-Cryptography Protection
Authors: Sriprasadh K.
Published: March 2024

Cryptography is a technological term to protect a secret message or information. The practices of converting the normal text into unreadable form are called encryption. It is possible through key management. Artificial intelligence is a technology that supports all domain in decision making. Bio-inspired cryptography is bio-cryptography that can identify the human unique features and covert as a key and incorporate in the encryption process through artificial intelligence multiple bio-cryptographic keys that can be linked into a single key module with artificial intelligence decision-making support in the decryption part. Through decision-making support, exact and accurate authentication can be made possible.
Enhancing Crypto Ransomware Detection Through Network Analysis and Machine Learning
Authors: Metilda Florence S. , Raghava Akshay , Yadhu Krishna M. J. , Sinha Shreya , Pasagada Kavya , Kharol Tanuja
Published: March 2024

Crypto ransomware presents an ever-growing menace as it encrypts victim data and demands a ransom for decryption. The increasing frequency of ransomware attacks underscores the need for advanced detection techniques. A machine learning classification model is proposed to identify ransomware families. These models utilize specific network traffic features, with a particular emphasis on analyzing the user datagram protocol (UDP) and internet control message protocol (ICMP). Importantly, this approach incorporates feature selection to enhance efficiency without compromising accuracy, resulting in reduced memory usage and faster processing times. The proposed experiment utilizes various machine learning algorithms, including decision trees and random forest, to create highly accurate models for classifying ransomware families. Furthermore, the experiment combined network traffic analysis with other sophisticated methods such as behavioral analysis and honeypot deployment to effectively scale crypto ransomware detection.
Osmatic-Based Supervision of EV
Authors: Mathi R. , Sundaravazhuthi V. , Sanjai A.
Published: March 2024

This study illustrates how electric car battery performance can be monitored using the internet of things (IoT). It is evident that an electric vehicle's only energy source is its battery. But the car's energy supply is steadily running out, which causes a drop in performance. This is a major source of concern for the battery industry. The chapter suggests using IoT techniques to monitor vehicle performance in order to perform the monitoring directly. The two primary elements of the suggested internet of things-based battery monitoring system are the monitoring device and the user interface. Test results indicate that the system may detect decreased battery life and alert the user to take appropriate action.
Implications of the Technological Revolution on Human Life in the Digital Future
Authors: Suganya V. , Kalaivani M.
Published: March 2024

The digital future is rapidly approaching, characterized by technological innovations that promise transformative changes across various facets of human existence. At the forefront of this digital transformation is the emergence of metaverse platforms—a convergence of virtual reality, augmented reality, blockchain, and artificial intelligence—reshaping the way humans interact, work, and socialize online. This chapter explores the profound implications of the technological revolution brought about by metaverse platforms on humanity and society. Through an interdisciplinary lens, this chapter delves into the multifaceted dimensions of the metaverse's impact. It examines how metaverse technologies are redefining the boundaries of human experience, enabling immersive virtual environments where individuals can work, socialize, create, and trade digital assets. In conclusion, this chapter provides a comprehensive analysis of the far-reaching implications of the technological revolution brought about by metaverse platforms in the digital future.
Effective Brand Building in Metaverse Platform
Authors: Catherine S. , Kiruthiga V. , N. V. Suresh , Gabriel Reena
Published: March 2024

Brand equity is one of the prime and strategic assets for most contemporary business organizations. Companies are focusing on novel and innovative ways in order to build brand equity. Brand experience is one such construct that can be used by marketing managers in building and managing brand equity. Only a few studies have explored the relationship between brand experience and brand equity, particularly in the online shopping industry. The fear of missing out on opportunities in the metaverse is a driving force for many brands. It is essential to approach this emerging space with a long-term, ethical, and collaborative strategy. The long-term impact of consumers and managers need to explore opportunities aligning with their business. Brands are living entities that drive business organizations in modern times. This chapter explains about the four dimensions of brand experience (sensory, affective, behavioural, and intellectual) have a positive influence on all four dimensions of brand equity (brand awareness, brand association, perceived quality, brand loyalty).
Metaverse's Significance for Smart Cities and the Retail Sector
Authors: Parmar Hemlata , Murari Utsav Krishan
Published: March 2024

The past few decades have observed a worldwide metaverse development. User-interactive, digitally produced settings make up the metaverse. The metaverse could revolutionize, reshape, and redefine smart cities through enhancing infrastructure, modernizing services provided by governments, enhancing convenience, speeding up the growth of the economy, and encouraging long-term viability. In this study, the authors explain how using the metaverse towards smart cities might spur development and enhance its implementation. They cover essential metaverse innovations, their top advantages, and smart city implementations. They demonstrate metaverse technology's applicability throughout sectors with active initiatives and cases. They also highlight and address major research hurdles that are preventing the metaverse from reaching its maximum capacity. They conclude with additional investigation objectives for developing the metaverse and smart city interconnectivity.
Energy Gaps and Bacteriochlorophyll Molecular Graph Representation Based on Machine Learning Algorithm.
Authors: Kumar Kapil , Khari Manju
Published: March 2024

Light harvesting applications have proven to be highly valuable in various fields such as photovoltaics, photo catalysis, and photo polymerization. When bacteriochlorophyll is manipulated at the molecular level, it opens up numerous possibilities for improving its physical and chemical properties for harvesting light. . In their research study, the authors suggest using molecular graph representations from the Computational Material Repository (CMR) dataset to forecast the energy gaps of bacteriochlorophyll. The electro-topological-state index is the description for the molecular network that the authors choose expressly. The physical configuration of carbon in methane bonds associated to the attached group, as found by the authors, has a considerable impact on the energy gaps of bacteriochlorophyll. This observation is consistent with the three-dimensional diffusion patterns of the molecule's leading-edge molecular orbitals, as predicted by quantum mechanical calculations.
Biomarker-Based Personalized Management for Cardiovascular Disorders
Authors: Taruna  , Kaur Paranjeet , Singh Thakur G.
Published: March 2024

People who are at higher risk for cardiovascular disease can be found using biomarkers. Acute coronary syndrome must be diagnosed and treated promptly and accurately, and cardiac biomarkers are crucial for both. For therapy to start as soon as possible, and possibly, a diagnosis within the golden period, is crucial. Among the numerous biomarkers, the myocardial enzymes, a number of myocardial proteins, peptides, and many other compounds were the first ones to be studied. The stable molecules known as microRNAs are the newest addition to the repertoire and can be found in circulation. Many cardiological conditions are still incurable, and traditional treatments frequently have unfavourable side effects or only slightly improve patient outcomes. Hence, personalised therapy of cardiovascular diseases (CVD), also known as personalised or precision cardiology, is the process of choosing the most appropriate course of action for a given patient.
Magnetorheological Elastomers as the Next-Generation Actuators
Authors: Dhiman Nishant Kumar , Salodkar Sandeep M , Sharma Gagandeep , Susheel Chanderkant
Published: March 2024

Magnetorheological elastomers (MREs), characterized by their adaptive mechanical properties in the presence of a magnetic field, have witnessed a transformative evolution in recent years. MREs, originally recognized for their variable stiffness and damping capabilities, are now poised to revolutionize the domain of actuators. The present discourse elucidates the pivotal advancements that place MREs at the vanguard of next-generation actuator technologies. Emphasis is laid on the microstructural dynamics, optimization strategies for enhanced actuation response, and the integration of MREs in diverse application scenarios. Furthermore, challenges inherent to the practical implementation of MRE-based actuators are addressed, accompanied by prospective solutions underscored by recent research breakthroughs. By holistically examining the trajectory of MREs in actuation, this chapter positions the material as a cornerstone for future technological innovations in the realm of smart systems and devices.
Embracing Digital Transformation
Authors: Taneja Sanjay , Shukla Rishi Prakash , Singh Amandeep
Published: March 2024

In the wake of rapid technological advancements, the concept of digital transformation has emerged as a critical driver for organizational growth and resilience. This research paper delves into the multifaceted implications of digital transformation across various sectors and industries. By analysing the integration of cutting-edge technologies, such as artificial intelligence, big data analytics, cloud computing, and the internet of things, this study elucidates the transformative impact of these innovations on traditional business models. Additionally, the research investigates the challenges, opportunities, and potential risks associated with the adoption of digital transformation strategies, emphasizing the need for proactive adaptation and robust cybersecurity measures. Through a comprehensive examination of case studies and empirical data, this chapter aims to provide insights into the evolving landscape of digital transformation and its profound implications for organizational sustainability and competitiveness in the digital era.
Enhancing Service Excellence in the Hospitality Industry Through Effective Service Recovery From Failures
Authors: Singh Sujay Vikram , Ancheary Terrance , Mondal Anish , Rajauria Shashank
Published: March 2024

The hotel sector is a fiercely competitive and continuously expanding industry with a multitude of difficulties and prospects. The objective of this study is to investigate the significant impacts of providing high-quality service and effectively managing service recovery on both visitor happiness and the overall success of enterprises in the tourism industry. This study utilises a qualitative methodology, specifically focused on conducting focus group interviews. The results of this study will aid in the continuous endeavours to improve customer satisfaction and promote the success of the hotel and tourism sectors. The knowledge gained from experts in the industry will provide a clear understanding of the strategies and viewpoints that contribute to the success of firms in this field. It acknowledges the importance of aligning the expectations of management and customers in order to provide great service.
Wearable IoT Devices in Rehabilitation
Authors: Aziz Rabia , Jawed Firdaus , Khan Sohrab Ahmad , Sundus Habiba
Published: March 2024

Internet of things (IoT) holds great promise as a solution for providing continuous, objective, and comprehensive monitoring, thereby reducing the labour of human care-givers and facilitating clinical decision-making. In the initial phase of the internet of things in rehabilitation, ubiquitous sensors were integrated into rehabilitation programmes. These sensors were used to monitor the movement of patients, assess their progress, and collect data on a variety of physiological parameters. This chapter will describe the evolution of IoT-based rehabilitation, which shifted from stationary sensors to wearable devices in order to provide precise advanced patient care and rehabilitation, using IoT devices in various activities of daily living and also focuses on the ethical considerations of using wearables IoT devices in rehabilitation.
Artificial Intelligence at the Helm
Authors: Manoharan Geetha , Razak Abdul , Rao C. V. Guru , Ashtikar Sunitha Purushottam , Nivedha M.
Published: March 2024

Computers are part of our everyday life. Advances in technology allow these machines to duplicate human skills with remarkable accuracy. AI managed all global business functions. Progress is mostly due to AI. Using AI, computers can automate human work. Many organizations employ AI to simplify. Business uses it extensively. Companies use AI to automate, analyze, and interact with consumers and workers. Companies want market domination and industry growth. Business insights are gained by many successful global firms using AI, automation, big data analytics, and NLP. AI is transforming business by automating processes, analyzing data, improving decision-making, and connecting customers. AI may improve corporate chatbots, inventory management, fraud protection, and predictive maintenance. AI can raise productivity, cut expenses, and increase profits by speeding up procedures and enhancing customer service. However, businesses must use AI responsibly and protect data. This chapter discusses AI's business impacts.
Exploring the Ethical Implications of Generative AI in Healthcare
Authors: Kumar Dinesh , Dhalwal Rohit , Chaudhary Ayushi
Published: March 2024

This chapter critically evaluates the ethical challenges posed by the advent of generative artificial intelligence (GenAI) in healthcare. It investigates how GenAI's potential to revolutionize patient care and medical research is counterbalanced by significant ethical concerns, including privacy, security, and equity. An extensive literature review supports a deep dive into these issues, comparing GenAI's impact on traditional healthcare ethics. Through case studies and theoretical analysis, the chapter seeks to understand GenAI's ethical implications thoroughly, aiming to contribute to the development of nuanced ethical frameworks in this rapidly advancing area.
Investigation Into the Use of IoT Technology and Machine Learning for the Identification of Crop Diseases
Authors: Manikandan K. , Veeraiah Vivek , Dhabliya Dharmesh , Jain Sanjiv Kumar , Dari Sukhvinder Singh , Gupta Ankur , Pramanik Sabyasachi
Published: March 2024

The control and management of crop diseases has always been a focal point of study in the agricultural domain. The growth of agricultural planting areas has posed several obstacles in monitoring, identifying, and managing large-scale illnesses. Insufficient disease identification capacity in relation to the expanding planting area results in heightened disease intensity, leading to decreased crop production and reduced yield per unit area. Evidence indicates that the reduction in crop productivity resulting from illnesses often surpasses 40%, leading to both financial setbacks for farmers and a certain degree of impact on local economic growth. A total of 1406 photos were gathered from 50 image sensor nodes. These images consist of 433 healthy images, 354 images showing big spot disease, 187 images showing tiny spot disease, and 432 images showing rust disease. This chapter examines the cultivation of maize fields in open-air environments and integrates internet of things (IoT) technologies.
Narrating Spatial Data With Responsibility
Authors: Ahmad Munir , Ureeb Saadia
Published: March 2024

This chapter discussed the responsible use of spatial data in decision-making and the need to balance ethics with decision-making. The role of spatial data in decision-making and storytelling is discussed. Ethical issues in spatial data storytelling such as privacy and confidentiality, bias and discrimination, accuracy and misinformation, accessibility and inclusivity, environmental and social impacts, data ownership and credit, and transparency are described, along with the strategies to overcome these issues. The different roles of storytelling in decision-making are elaborated on, along with the challenges and risks associated with using storytelling in decision-making. The chapter also discussed the challenges of striking a balance between ethics and decision-making, such as conflicting interests, cognitive biases, time constraints, political and legal constraints, and many more. Strategies to overcome these challenges, including developing clear ethical guidelines and engaging diverse stakeholders, are underpinned in this chapter as well.
Structural Systems Powered by AI and Machine Learning Technologies
Authors: Pramanik Sabyasachi
Published: March 2024

This chapter investigates the use of artificial intelligence (AI) and machine learning (ML) technologies in structural engineering, with an emphasis on their applications in automating design processes, optimizing structural configurations, and evaluating performance measures. It demonstrates the effectiveness of AI-powered algorithms in creating design alternatives, anticipating structural behavior, and improving sustainability. The chapter also includes a framework for comparing the performance of various structural designs, taking into account safety, cost-effectiveness, and environmental impact. It provides case studies and practical examples that show how AI/ML-driven autonomous design may achieve greater structural performance while using fewer resources. The chapter stresses the potential of AI and ML to revolutionize structural engineering by allowing engineers to design more sustainable and high-performing buildings, so contributing to a more ecologically aware and economically viable built environment.
Integrating the Industrial Revolution 5.0 With AI
Authors: Vadivel Sridhar Raj Sankara
Published: March 2024

Industry 5.0 is a developing phase of industrial modernisation in which humans collaborate with technologically sophisticated robots powered by AI to improve workplace processes. This is combined with a more human-centric focus, increased resilience, and a stronger emphasis on sustainability. This new phase, which includes more than just manufacturing, builds on the fourth industrial revolution (Industry 4.0) and is enabled by technological advancements such as artificial intelligence (AI), automation, big data analytics, the internet of things (IoT), machine learning (ML), robotics, smart systems, and virtualization. This chapter explores the convergence of Industry 5.0 and artificial intelligence (AI) technologies, ushering in a transformative era for the manufacturing sector and broader industries. Industry 5.0 represents the latest phase in the industrial revolution, emphasizing human-technology collaboration and the integration of advanced technologies, while AI introduces intelligent automation and decision-making capabilities.
Comparison of Machine Learning Techniques of Damage Detection in Pipes Using Image Classification
Authors: Kapse Manohar , Sharma Vinod , Elangovan N. , Chandran Joji , Reddy Penumalli
Published: March 2024

Pipes are the lifeline of every industry. Any damage to these pipes due to manufacturing defects or wear and tear can cause loss of resources and obstruction to normal activities. Detection of these damages at an earlier stage by human inspection methods is impossible. There is a need to find an effective method to detect pipe damage. This study aims at damage detection in pipe structures by using the image classification technique. A machine learning model is developed to detect the early-stage damages in the pipe. Machine learning (logistic regression, SVM, KNN, and random forest) and deep learning model (CNN) are used for developing the model. It is identified that the deep learning algorithm CNN has greater accuracy than any of the machine learning models, and hence, it could be used in real-time damage detection of pipes.
Thermal Beneficiation of a Nickel Laterite Ore from the Obi Island of North Maluku, Indonesia Using Corncob Char as Reductant
Authors: Sufriadin Sufriadin , Fauth Shany Sofiah , Tindoilo Pheter David , Nur Irzal , Purwanto Purwanto , Amalia Rizky , Irfan Ulva Ria , Basir Djabal Nur , Otake Tsubasa
Published: March 2024

A nickel laterite ore sample from the Obi Island of North Maluku, Indonesia was thermally treated using corncob charcoal as a reductant to determine the effect of corncob charcoal addition on the chemical change and phase transformation. Mineralogical analysis of raw ore sample and calcines was performed using optical microscopy and X-ray diffraction methods, whereas chemical composition was determined employing X-ray fluorescence (XRF) spectrometry. The ore was then calcined at 1.000°C for 1 hour with the mass variable of corncob charcoal as reductant was 5,10,15, and 20%. After calcination, the products were then weighed and analyzed using microscopic, XRD, and XRF methods. The results of material characterization showed that the ore sample is dominated by goethite. Antigorite, quartz, and hematite are also present in small quantities. The ore sample contains 1.53% Ni, 18.84% Fe, and an SM ratio of 2.46%. The experimental results showed that the optimum condition was achieved with the addition of 10% corncob reductant where the calcined product contains 1.88% Ni, 14.22% Fe, and SM ratio of 1.72. The increase of corncob charcoal addition >10% resulted in slight decrease of Ni reduction likely due to increase of Fe metallization.
Iron Recovery Technology from Copper Processing Plants
Authors: Mirzajonova Saodat , Muratova Matluba , Rakhmatov Ulugkhoja , Lutfullayeva Nargiza , Beknazarova Gulnoza , Matkarimov Zaynobiddin , Matkarimov Sokhibjon
Published: March 2024

The article provides information about the initial elements in the waste and tailings of the copper processing plant of the Almalyk Mining and Metallurgical Combine and theoretical solutions for the extraction of metals. According to chemical data, the amount of iron in the waste is high (52.6%), and the most effective solution for extracting iron from the waste is the reduction process. An increase in the amount of iron to 88.9% was formed using coal and lime as reducing agents.
Investigation into the Impact of Graphene Oxide (GO) on Microstructural Characteristics in Geopolymer Composites Derived from Fly Ash
Authors: Susanto Agus , Haris Abdul , Saleh Muhammad
Published: March 2024

This work reports on the effect of adding GO on the microstructural properties of fly ash-based geopolymer-GO composites. Scanning electron microscopy (SEM), X-ray diffraction (XRD), and Fourier Transform Infrared (FTIR) tests were performed to investigate microstructural properties of fly ash-based geopolymer-GO composites. The XRD data showed that the intensity of the peaks in the fly ash-based geopolymer-GO composites increase with increasing the amount of the GO composition, which indicates the quartz phase (SiO2) remained in crystal form. Fourier Transform Infrared (FTIR) data showed that the presence of GO absorption bands indicates the successful inclusion of GO into the geopolymer matrix/network, which affected the microstructural development of fly ash-based geopolymer-GO composites. In addition, the SEM images reveal that fly ash's diameter decreased up to the GO content of 1 gram, and the matrix was denser, which will increase the strength of the fly ash-based geopolymer-GO composites. While adding larger than 1 gram (e.g., 2 grams) of GO results in a bigger diameter of fly ash with the coarser matrix, which will decrease the strength of the fly ash-based geopolymer-GO composites.
Limb-girdle muscular dystrophies: An update
Authors: Samarasiri Udari
Published: March 2024

Limb-girdle muscular dystrophies (LGMDs) are a heterogenous group of genetically driven muscle disorders, which share the two common features of progressive, predominantly proximal girdle skeletal muscle involvement and dystrophic changes on pathology. This is a rapidly expanding landscape in neurology both in relation to diagnosis as well as evolving targeted treatment options. Thirty-one LGMD subtypes are described to date; five of autosomal dominant inheritance and 26 of autosomal recessive transmission. This article describes their pathogenesis, clinical presentation, diagnosis and recent therapeutic advances.
PRMT5 Promotes T follicular helper Cell Differentiation and Germinal Center Responses during Influenza Virus Infection
Authors: Read Kaitlin A , Amici Stephanie A , Farsi Sadaf , Cutcliffe Madeline , Lee Bella , Lio Chan-Wang Jerry , Wu Hsin-Jung Joyce , Guerau-de-Arellano Mireia , Oestreich Kenneth J
Published: March 2024

Protein arginine methyltransferases (PRMTs) modify diverse protein targets and regulate numerous cellular processes; yet, their contributions to individual effector T cell responses during infections are incompletely understood. In this study, we identify PRMT5 as a critical regulator of CD4+ T follicular helper cell (Tfh) responses during influenza virus infection in mice. Conditional PRMT5 deletion in murine T cells results in an almost complete ablation of both Tfh and T follicular regulatory populations and, consequently, reduced B cell activation and influenza-specific Ab production. Supporting a potential mechanism, we observe elevated surface expression of IL-2Rα on non–T regulatory effector PRMT5-deficient T cells. Notably, IL-2 signaling is known to negatively impact Tfh differentiation. Collectively, our findings identify PRMT5 as a prominent regulator of Tfh programming, with potential causal links to IL-2 signaling.
Perception among teachers and students regarding modified practical modules in ophthalmology for undergraduate medical teaching during COVID-19 pandemic: An observational study
Authors: Mittal Sanjeev K , Kumawat Devesh , Singh Anupam , Agrawal Ajai , Gupta Neeti , Samanta Ramanuj , Das Sucharita
Published: March 2024

Purpose of the article:

The aim of this study was to assess the perceptions of teachers and students regarding modified practical modules in ophthalmology for undergraduate medical teaching during the coronavirus disease-2019 (COVID-19) pandemic.

Materials and Methods:

A questionnaire-based observational study was conducted, which included third-year medical undergraduate students and faculty. Separate Google forms were used for the students and teachers. Qualitative analysis of data was performed based on the responses of study participants.

Results:

A total of 83 responses from students and 8 from teachers were obtained during the survey period. Approximately 93.9% of students agreed that the practical modules enhanced their clinical knowledge. According to 18% of students, better teacher-student interaction was the strength of modules. Approximately 28% of students reported that lack of patient interaction was a weakness of the practical modules.

Conclusion:

Although the novel teaching methodology was well received by study participants, more similar studies should be conducted to ascertain the appropriateness of modified teaching techniques in medical schools.
Overlapping comorbidities of eye and the skin: A review
Authors: Kansal Naveen K , Singh Anupam
Published: March 2024

The involvement of the eye is known in many mucocutaneous disorders. Some of these diseases may also lead to significant scarring and occasional vision loss. With this brief article, an attempt is made to highlight ophthalmic involvement in certain skin disorders. The workup of these diseases should essentially include eye examination for appropriate clinical outcomes.
Tác động của số hoá bến container đến ý định tiếp tục sử dụng cảng của các bên thuộc chuỗi cung ứng vận tải tại nhóm cảng số 4, Việt Nam
Authors: Hùng Nguyễn Thanh
Published: March 2024

Các bến container thuộc nhóm cảng số 4 đang thực hiện chuyển đổi số. Nghiên cứu làm sáng tỏ liệu các nội dung số hoá quy trình cung cấp dịch vụ của các cảng này có đáp ứng nhu cầu các bên trong chuỗi cung ứng vận tải. Bài báo xem xét và phân tích mối quan hệ giữa mức độ phức tạp và khả năng tương thích của công nghệ đến việc sử dụng liên tục cảng container thông qua mô hình chấp nhận công nghệ mở rộng. Nghiên cứu chủ yếu sử dụng kỹ thuật phân tích mô hình cấu trúc tuyến tính. Đối tượng khảo sát từ 222 đáp viên là các bên trong chuỗi cung ứng vận tải, gồm: hãng tàu, công ty giao nhận, công ty cung ứng dịch vụ logistics và công ty vận tải đường bộ tại khu vực Đông Nam Bộ. Tính phức tạp và tương thích của công nghệ có tác động đáng kể đến việc tiếp tục sử dụng cảng. Ban quản lý các cảng container nên xem xét phát triển công nghệ và hệ thống vận hành với mức độ phức tạp phù hợp và theo nhu cầu của các bên trong chuỗi cung ứng vận tải. Bài báo này góp phần mở rộng và làm phong phú mô hình TAM về vấn đề số hoá cảng container.
Tác động của chất lượng thể chế tới đầu tư tư nhân ở các nước Châu Á
Authors: Thuấn Nguyễn , Thế Đặng Thị Ngọc
Published: March 2024

Đề tài nghiên cứu “Tác động của chất lượng thể chế lên đầu tư tư nhân các nước Châu Á” sử dụng bộ dữ liệu công khai của 41 quốc gia châu Á trên Ngân Hàng Thế Giới từ năm 2002 - 2019. Thông qua phương pháp hồi quy dữ liệu bảng, sử dụng mô hình bình phương tối thiểu tổng quát - General Least Square (GLS) và lý thuyết về thể chế, nghiên cứu đánh giá tác động của chất lượng thể chế đến đầu tư tư nhân các quốc gia châu Á. Với điểm mới là phương pháp phân tích thành phần chính - Principal Components Analysis (PCA) cho 06 chỉ số thể chế, nghiên cứu kết luận thể chế, đầu tư trực tiếp nước ngoài - Foreign Direct Investment (FDI) và lạm phát có tác động dương đến đầu tư tư nhân. Ngược lại đầu tư công và biến tương tác FDI và thể chế có tác động âm đến đầu tư tư nhân. Biến chỉ số công nghiệp cũng là điểm mới của đề tài tuy nhiên chưa có bằng chứng về tác động của yếu tố này lên đầu tư tư nhân.
PERAN SEKOLAH DALAM PEMBINAAN OLAHRAGA PRESTASI DI SMA DAN SMK SE-KECAMATAN ELLA HILIR
Authors: Heriyanto Heriyanto , Anggorowati Kurnia Dyah , Suyatmin Suyatmin
Published: March 2024

Abstract: Research purpose to know the role of schools in coaching SMA/SMK Ella Hilir performance sports. The study uses a qualitative research witha descriptive approach, meaning a research procedure by illustrating objects based on actual fact thatare happening in today’s situation. This research data source is the principal, the student and sports teacher. Data collection using of interviews, observation and documentation. Data analysis ran a triangulation test, whichis source triangulation and technical triangulation. Based on studies obtained in SMA/SMK of Ella Hilir,of the role of achievements sports that school already play a part in the development of achievement sports, this is established by facilitating the means and infrastructure of sports. To theconclusion that SMA/SMK of Ella Hilir has already played a role in the development of the performance sports, as in shown by the achievement of each school. Keywords: school roles, coaching performance sports.Abstrak: Tujuan penelitian untuk mengetahui peran dari sekolah dalam pembinaan olahraga prestasi di SMA/SMK se-Kecamatan Ella Hilir. Penelitian ini mengunakan penelitian kualitatif dengan pendekatan deskriptif, maksudnya adalah prosedur penelitian dengan menggambarkan obyek yang di teliti berdasarkan fakta aktual yang terjadi pada keadaan sekarang. Sumber data penelitian ini yaitu kepala sekolah, guru olahraga dan siswa. Pengumpulan data mengunakan metode wawancara, observasi dan dokumentasi. Analisis data mengunakan uji triangulasi, yaitu triangulasi sumber dan triangulasi teknik. Berdasarkan hasil penelitian yang diperoleh di SMA/SMK se-Kecamatan Ella Hilir, tentang peran sekolah dalam pembinaan olahraga prestasibahwa sekolah sudah berperan dalam pembinaan olahraga prestasi, hal tersebut dibuktikan dengan memfasilitasi sarana dan prasarana olahraga. Dapat ditarik kesimpulan bahwa SMA/SMK se-Kecamatan Ella Hilir sudah berperan dalam pembinaan olahraga prestasi, hal ini di buktikan dengan perolehan prestasi-prestasi yang diraih di masing-masing sekolah tersebut.Kata Kunci: peran sekolah, pembinaan olahraga prestasi.
THE VIABILITY OF A PHYSICAL THERAPY MOBILE MEDICAL CARAVAN IN DAVAO CITY
Authors: Reyes Alyssa Kate P. , Arcite Vincent M. , Ariston Djoira Krestel G. , Braga Ana Feliza Ysabel C. , Lumayon Rezka Daryll T.
Published: March 2024

Introduction: This study aimed to determine the viability of a proposed physical therapy mobile medical caravan in Davao City in the pursuit of accessibility and health promotion.

Methods: This descriptive quantitative study involved the barangay officials and health personnel, and the target recipients of the study in Marilog District, Davao City using a validated researcher-based questionnaire adopted from the World Health Organization and was analyzed using a validated researcher-made interpretation tool.

Results: A total of 57 respondents participated in the study, 38 from the barangay personnel and 19 from the target recipients. Notably, 84.2% of patients and 97.4% of barangay personnel had a history of musculoskeletal disorders, and 21.1% of patients and 94.7% of staff reported a history of stroke. However, only 21.1% of the respondents are aware of physical therapy. Results highlighted the need for a local physical therapist with 94.7% of patients and 86.6% of barangay personnel. And, all respondents believed that physical therapy could improve their lives and the majority.

Discussion: The study revealed a high prevalence of musculoskeletal and neurologic disorders in Marilog District however, physical therapy services are unavailable locally. However, most disregard their medical condition due to inaccessibility and financial constraints. Furthermore, it was discovered that there is very poor awareness about physical therapy as medical professionals. Therefore, in the proposed establishment of a physical therapy mobile medical caravan, it is highly relevant and important in their community.
Improving Blood Pressure in Adults 65 Years and Older via Weekly Telehealth Coaching
Authors:   , Bathini Janet
Published: March 2024

Practice Problem: Hypertension is a significant modifiable risk factor for CVD and is on the rise with advancing age. The management at the VA hospital's GEC clinic acknowledged the importance of managing HTN in veterans to lower their CVD risk and were open to implementing EBP to enhance HTN management. PICOT: The PICOT question that guided this project was: In the primary care setting, in older adults > 65 years with BP > 140/90 (P), does weekly telehealth coaching (I) compared to no telehealth coaching (C), decrease their BP (O) over a 6-week period (T)? Evidence: The evidence that guided this project was synthesized from eight scholarly articles that show weekly telehealth coaching to be an effective intervention in decreasing BP in the elderly. Intervention: The Telehealth Coaching Intervention (TCI) consisted of receiving a call from RNTC who followed the supervisory checklist for making the telehealth calls. The RNTC instructed the patients about lifestyle management, medication adherence, and self-management of their BP. Outcome: The primary outcome of the DNP project is achieving a BP lower than that measured on enrollment in week “0” and is compared with post-TCI data obtained in week 2, week 4, and week 6. The result of the two-tailed paired samples t-test was significant based on an alpha value of 0.05, t(8) = 8.92, p < .001, showing a significant difference between week “0” and week “6”. Conclusion: This DNP project implemented TCI, an EBP change in older adults > 65 years of age with high BP > 140/90 in the primary care setting, and evaluated the effectiveness of the intervention in a 6-week period. The results show that the goal of the TCI was met in improving patients’ BP within a 6-week period.
Diferentes métodos de treinamento sobre a força explosiva e potência de atletas de voleibol
Authors: Pacheco Cézar Felipe dos Santos , Vale Rodrigo Gomes de Souza , Bello Maria de Nazaré Dias , Martins Olivar de Souza , Pinheiro Claudio Joaquim Borba
Published: March 2024

O voleibol é um esporte que exige do atleta um nível de condicionamento físico dentro de um treinamento integral que seja planejado e contínuo, visando às características do jogo e do atleta. O objetivo deste estudo foi verificar os efeitos dos métodos de treinamento sobre o desempenho físico relacionado a potência e força explosiva de atletas de voleibol no período de 2015 a 2022. Essa pesquisa foi realizada através da revisão sistemática da produção científica, regida pelo PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Os bancos de dados utilizados foram: Google Acadêmico, Scielo e PubMed. Os termos utilizados foram “Pliometria e Voleibol”, “HIIT e voleibol” e “Musculação e voleibol” nos idiomas inglês, espanhol e português. Foram selecionados sete artigos após os procedimentos metodológicos. Para o treino pliométrico (TP) isolado e/ou combinado foi encontrado cinco artigos, sendo possível afirmar mudanças positivas na potência muscular, força explosiva e outras variáveis, o método HIIT com um e treinamento resistido (TR) com um artigo que mostraram resultados positivos para as variáveis de força específica para atletas de voleibol. O TP isolado e/ou combinado com outros métodos teve o maior número de trabalhos nesta pesquisa, apresentando resultados positivos para força explosiva e potência, entre outras variáveis.
Análisis crítico del liderazgo educativo y propuesta para mejorar la calidad educativa
Authors: Cañizares Banguera Haidee Jamel , Alban Defilippi María Teresa , Boza Mendoza José Geovanny , Corozo Palma Richard Baldomero , Menoscal Burgos John Fabian , Morales Prado Edinson Santiago
Published: March 2024

El presente ensayo académico determinó como objetivo efectuar un análisis crítico del liderazgo educativo y las propuestas para mejorar la calidad educativa en Instituciones educativas a nivel general. El objetivo es contribuir a la mejora de la calidad educativa a través del análisis crítico del liderazgo educativo. La metodología utilizada en esta investigación es básica, un tipo de búsqueda utilizada en la ciencia para comprender y ampliar nuestro conocimiento de un fenómeno o campo en particular. También se considera investigación pura o investigación básica. Tal investigación contribuye al enriquecimiento del conocimiento. Resultados el líder educativo supervisa, orienta, ayuda, organiza, corrige, en busca de conseguir los objetivos trazados y mejorar la calidad educativa, la legislación vigente de Ecuador garantiza de una u otra forma un liderazgo pedagógico en la búsqueda de mejorar la calidad educativa y consecuentemente el aprendizaje de los estudiantes, sin embargo, es importante que el sistema educativo encuentre la forma de mejorar las evaluaciones que determinan el conocimiento o aprendizaje de los estudiantes para que así sea más correcto el método de calificación acerca del nivel educativo de los estudiantes de esta forma cada uno recibirá notas correspondientemente al nivel de dedicación, empeño y esfuerzo que ha brindado, logrando la nota idónea, que si vaya acorde al conocimiento que ha obtenido.
Studi Literatur Sikap Dosen dalam Mendukung Keberhasilan Pendidikan Tinggi Vokasi (PTV)
Authors: Karnati Neti , Samsun
Published: March 2024

Tujuan dari penelitian ini adalah untuk menganalisis sikap dosen terhadap pendidikan vokasi dan dampaknya terhadap keberhasilan praktek pendidikan vokasi. Pendidikan vokasi merupakan program pemerintah, dimana pendidikan vokasi ini adalah pendidikan yang menunjang pada peningkatan keahlian yang merupakan fokus pemerintah terhadap pendidikan keterampilan khususnya keterampilan pembekalan siap kerja. Penelitian menggunakan metode studi literature review dengan teknik analisis deskriptif. digunakan untuk mengumpulkan data. Terdapat 11 jurnal dalam kurun waktu 5 tahun terakhir yang memenuhi kriteria erdasarkan hasil penelitian, pendidikan karakter sudah diajaransejak usia dini, sehingga pendidikan karakter pada pendidikan tinggi berada pada tahap penguatan. Metode yang digunakan dalam memberikan pelatihan sikap dosen pada PendidikanTinggi Vokasi ( PTV) adalah dengan pendidikan sikap yang dilakukan oleh seluruh sivitas akademika. Pendidikan  sikap  pada  PTV  lebih  fleksibel  karena  kurikulum  pada  PTV  menyesuaikan  kebutuhan stake holder ( rumah sakit atau bidang kesehatan).
O uso do ultrassom na endodontia: revisão de literatura
Authors: Ferrari Thaís Regina , Pagliosa André
Published: March 2024

O tratamento endodôntico tem como objetivo possibilitar a permanecia do elemento dentário na cavidade bucal exercendo suas devidas funções na fisiologia, sem se tornar um causador de doenças em tecidos perirradiculares. Nesse sentido essa revisão de literatura teve como objetivo analisar a efetividade o ultrassom nas diversas etapas do tratamento de canal, para proporcionar maior segurança e maior eficácia, no sucesso do tratamento endodôntico. Foram pesquisados artigos no PubMed e Crochane Library em que abordavam o tema sobre ultrassom na endodontia. O ultrassom mostrou-se eficaz tanto no acesso endodôntico, na localização de canais, remoção de pinos intra-radiculares e instrumentais fraturados, quanto na desinfecção dos canais radiculares, remoção de guta percha, no retratamento endodôntico podendo-se comprovar que seu uso na maioria de casos é seguro e eficaz.
Displasia cemento-óssea florida: relato de três casos clínicos envolvendo ambos os maxilares
Authors: Mascarenhas Aise Cleise Mota , Jesus Júlia Maria Benites de , Torreão Priscila Alves , Oliveira Girlane Pereira de , Lopes Flávia Cruz Costa , Souza Lorena Rodrigues , Cancio Antonio Varela , Farias Jener Gonçalves de
Published: March 2024

O objetivo do presente artigo foi relatar três casos de aspectos clínicos exuberantes da displasia óssea florida, bem como as várias etapas de abordagens cirúrgicas atreladas a literatura. A displasia cemento-óssea florida é uma patologia incomum, benigna, que pode acometer os ossos gnáticos bilateralmente, sendo mais prevalente em mulheres negras de meia idade, sua etiopatogenia ainda é bastante controversa. Na maioria dos casos relatados, se apresenta de forma assintomática, exibindo sintomas apenas quando envolvidas em outras infecções secundarias. O estabelecimento do seu diagnóstico envolve a coleta dos dados sóciodemográficos e o exame radiográfico com identificação de lojas ósseas múltiplas com alterações mistas de radiopacidade.
ACOUSTIC SIGNALS ANALYSIS OF AERIAL ATTACK WEAPON
Authors: Pozdniakov V. , Buhaiov M.
Published: March 2024

This paper analyzes the acoustic signals of aerodynamic aerial attack weapons used by the Russian Federation during a full-scale invasion. These include strike unmanned aerial vehicles, cruise missiles, jet and turboprop aircraft, and helicopters. It has been established that the time for observing an acoustic signal is limited by the speed of the vehicle. For high-speed targets (cruise missiles, airplanes), it averages 10 s, and for slower targets, 40-50 s. The Welch periodogram method was used to extract the spectral characteristics of acoustic signals. It is shown that the acoustic signal of propeller-driven vehicles is the sum of harmonic and noise-like broadband components, and that of turbojet-powered vehicles has a predominantly noise-like structure with several narrowband components. It was found that at the moment of maximum convergence, the signal spectrum has the greatest width. The characteristic change in the frequency of harmonic components associated with the Doppler effect is investigated. It can be used to estimate the parameters of motion and identify the vehicle. By correlation analysis of acoustic signals, it was found that broadband components have a noise-like structure. An acoustic signal for the case of simultaneous over flight of different types of vehicles was formed by adding records of different acoustic signals. It is shown that the characteristic spectral characteristics of all objects are preserved on the frequency-time plane. The results of the analysis can be used to build mathematical models of acoustic signals and to develop methods for processing signals of aerial attack weapons in an acoustic airspace monitoring system.
Keywords: aerial attack weapons; acoustic signal; spectrogram; acoustic monitoring system; harmonic component.