bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimizing Indoor Airport Navigation with Advanced Visible Light Communication Systems
Authors: Vieira Manuela , Vieira Manuel Augusto , Galvão Gonçalo , Louro Paula , Vieira Pedro , Fantoni Alessandro
Published: August 2024

This study presents a novel approach to enhancing indoor navigation in crowded multi-terminal airports using visible light communication (VLC) technology. By leveraging existing luminaires as transmission points, encoded messages are conveyed through modulated light signals to provide location-specific guidance. The objectives are to facilitate navigation, optimize routes, and improve system performance through Edge/Fog integration. The methodology includes the use of tetrachromatic LED-equipped luminaires with On–Off Keying (OOK) modulation and a mesh cellular hybrid structure. Detailed airport modeling and user analysis (pedestrians and luggage/passenger carriers) equipped with PINPIN optical sensors are conducted. A VLC-specific communication protocol with coding and decoding techniques ensures reliable data transmission, while wayfinding algorithms offer real-time guidance. The results show effective data transmission and localization, enabling self-localization, travel direction inference, and route optimization. Agent-based simulations demonstrate improved traffic control, with analyses of user halting and average speed. This approach provides reliable indoor navigation independent of GPS signals, enhancing accessibility and convenience for airport users. The integration of VLC with Edge/Fog architecture ensures efficient movement through complex airport layouts.
DAEiS-Net: Deep Aggregation Network with Edge Information Supplement for Tunnel Water Stain Segmentation
Authors: Wang Yuliang , Huang Kai , Zheng Kai , Liu Shuliang
Published: August 2024

Tunnel disease detection and maintenance are critical tasks in urban engineering, and are essential for the safety and stability of urban transportation systems. Water stain detection presents unique challenges due to its variable morphology and scale, which leads to insufficient multiscale contextual information extraction and boundary information loss in complex environments. To address these challenges, this paper proposes a method called Deep Aggregation Network with Edge Information Supplement (DAEiS-Net) for detecting tunnel water stains. The proposed method employs a classic encoder–decoder architecture. Specifically, in the encoder part, a Deep Aggregation Module (DAM) is introduced to enhance feature representation capabilities. Additionally, a Multiscale Cross-Attention Module (MCAM) is proposed to suppress noise in the shallow features and enhance the texture information of the high-level features. Moreover, an Edge Information Supplement Module (EISM) is designed to mitigate semantic gaps across different stages of feature extraction, improving the extraction of water stain edge information. Furthermore, a Sub-Pixel Module (SPM) is proposed to fuse features at various scales, enhancing edge feature representation. Finally, we introduce the Tunnel Water Stain Dataset (TWS), specifically designed for tunnel water stain segmentation. Experimental results on the TWS dataset demonstrate that DAEiS-Net achieves state-of-the-art performance in tunnel water stain segmentation.
Adaptive Finite-Time-Based Neural Optimal Control of Time-Delayed Wheeled Mobile Robotics Systems
Authors: Li Shu , Ren Tao , Ding Liang , Liu Lei
Published: August 2024

For nonlinear systems with uncertain state time delays, an adaptive neural optimal tracking control method based on finite time is designed. With the help of the appropriate LKFs, the time-delay problem is handled. A novel nonquadratic Hamilton–Jacobi–Bellman (HJB) function is defined, where finite time is selected as the upper limit of integration. This function contains information on the state time delay, while also maintaining the basic information. To meet specific requirements, the integral reinforcement learning method is employed to solve the ideal HJB function. Then, a tracking controller is designed to ensure finite-time convergence and optimization of the controlled system. This involves the evaluation and execution of gradient descent updates of neural network weights based on a reinforcement learning architecture. The semi-global practical finite-time stability of the controlled system and the finite-time convergence of the tracking error are guaranteed.
Security Evaluation of Companion Android Applications in IoT: The Case of Smart Security Devices
Authors: Allen Ashley , Mylonas Alexios , Vidalis Stilianos , Gritzalis Dimitris
Published: August 2024

Smart security devices, such as smart locks, smart cameras, and smart intruder alarms are increasingly popular with users due to the enhanced convenience and new features that they offer. A significant part of this convenience is provided by the device’s companion smartphone app. Information on whether secure and ethical development practices have been used in the creation of these applications is unavailable to the end user. As this work shows, this means that users are impacted both by potential third-party attackers that aim to compromise their device, and more subtle threats introduced by developers, who may track their use of their devices and illegally collect data that violate users’ privacy. Our results suggest that users of every application tested are susceptible to at least one potential commonly found vulnerability regardless of whether their device is offered by a known brand name or a lesser-known manufacturer. We present an overview of the most common vulnerabilities found in the scanned code and discuss the shortcomings of state-of-the-art automated scanners when looking at less structured programming languages such as C and C++. Finally, we also discuss potential methods for mitigation, and provide recommendations for developers to follow with respect to secure coding practices.
On the Reliability of Wireless Sensor Networks with Multiple Sinks
Authors: Shakhov Vladimir , Migov Denis
Published: August 2024

The convergence of heterogeneous wireless sensor networks provides many benefits, including increased coverage, flexible load balancing capabilities, more efficient use of network resources, and the provision of additional data by different types of sensors, thus leading to improved customer service based on more complete information. However, despite these advances, the challenge of ensuring reliability and survivability remains due to low-cost sensor requirements and the inherent unreliability of the wireless environment. Integrating different sensor networks and unifying protocols naturally leads to the creation of a network with multiple sinks, necessitating the exploration of new approaches to rational reliability assurance. The failure of some sensors does not necessarily lead to a shutdown of the network, since other sensors can duplicate information and deliver data to sinks via an increased number of alternative routes. In this paper, the reliability indicator is defined as the probability that sinks can collect data from a given number of sensors. In this context, a dedicated reliability metric is introduced and examined for its effectiveness. This metric is computed using an algorithm rooted in the modified factoring method. Furthermore, we introduce a heuristic algorithm designed for optimal sink placement in wireless sensor networks to achieve the highest level of network reliability.
A Novel Waveform Optimization Method for Orthogonal-Frequency Multiple-Input Multiple-Output Radar Based on Dual-Channel Neural Networks
Authors: Xia Meng , Gong Wenrong , Yang Lichao
Published: August 2024

The orthogonal frequency-division multiplexing (OFDM) mode with a linear frequency modulation (LFM) signal as the baseband waveform has been widely studied and applied in multiple-input multiple-output (MIMO) radar systems. However, its high sidelobe levels after pulse compression affect the target detection of radar systems. For this paper, theoretical analysis was performed, to investigate the causes of high sidelobe levels in OFDM-LFM waveforms, and a novel waveform optimization design method based on deep neural networks is proposed. This method utilizes the classic ResNeXt network to construct dual-channel neural networks, and a new loss function is employed to design the phase and bandwidth of the OFDM-LFM waveforms. Meanwhile, the optimization factor is exploited, to address the optimization problem of the peak sidelobe levels (PSLs) and integral sidelobe levels (ISLs). Our numerical results verified the correctness of the theoretical analysis and the effectiveness of the proposed method. The designed OFDM-LFM waveforms exhibited outstanding performance in pulse compression and improved the detection performance of the radar.
Workplace Well-Being in Industry 5.0: A Worker-Centered Systematic Review
Authors: Antonaci Francesca Giada , Olivetti Elena Carlotta , Marcolin Federica , Castiblanco Jimenez Ivonne Angelica , Eynard Benoît , Vezzetti Enrico , Moos Sandro
Published: August 2024

The paradigm of Industry 5.0 pushes the transition from the traditional to a novel, smart, digital, and connected industry, where well-being is key to enhance productivity, optimize man–machine interaction and guarantee workers’ safety. This work aims to conduct a systematic review of current methodologies for monitoring and analyzing physical and cognitive ergonomics. Three research questions are addressed: (1) which technologies are used to assess the physical and cognitive well-being of workers in the workplace, (2) how the acquired data are processed, and (3) what purpose this well-being is evaluated for. This way, individual factors within the holistic assessment of worker well-being are highlighted, and information is provided synthetically. The analysis was conducted following the PRISMA 2020 statement guidelines. From the sixty-five articles collected, the most adopted (1) technological solutions, (2) parameters, and (3) data analysis and processing were identified. Wearable inertial measurement units and RGB-D cameras are the most prevalent devices used for physical monitoring; in the cognitive ergonomics, and cardiac activity is the most adopted physiological parameter. Furthermore, insights on practical issues and future developments are provided. Future research should focus on developing multi-modal systems that combine these aspects with particular emphasis on their practical application in real industrial settings.
6DoF Object Pose and Focal Length Estimation from Single RGB Images in Uncontrolled Environments
Authors: Manawadu Mayura , Park Soon-Yong
Published: August 2024

Accurate 6DoF (degrees of freedom) pose and focal length estimation are important in extended reality (XR) applications, enabling precise object alignment and projection scaling, thereby enhancing user experiences. This study focuses on improving 6DoF pose estimation using single RGB images of unknown camera metadata. Estimating the 6DoF pose and focal length from an uncontrolled RGB image, obtained from the internet, is challenging because it often lacks crucial metadata. Existing methods such as FocalPose and Focalpose++ have made progress in this domain but still face challenges due to the projection scale ambiguity between the translation of an object along the z-axis (tz) and the camera’s focal length. To overcome this, we propose a two-stage strategy that decouples the projection scaling ambiguity in the estimation of z-axis translation and focal length. In the first stage, tz is set arbitrarily, and we predict all the other pose parameters and focal length relative to the fixed tz. In the second stage, we predict the true value of tz while scaling the focal length based on the tz update. The proposed two-stage method reduces projection scale ambiguity in RGB images and improves pose estimation accuracy. The iterative update rules constrained to the first stage and tailored loss functions including Huber loss in the second stage enhance the accuracy in both 6DoF pose and focal length estimation. Experimental results using benchmark datasets show significant improvements in terms of median rotation and translation errors, as well as better projection accuracy compared to the existing state-of-the-art methods. In an evaluation across the Pix3D datasets (chair, sofa, table, and bed), the proposed two-stage method improves projection accuracy by approximately 7.19%. Additionally, the incorporation of Huber loss resulted in a significant reduction in translation and focal length errors by 20.27% and 6.65%, respectively, in comparison to the Focalpose++ method.
A Self-Attention Legendre Graph Convolution Network for Rotating Machinery Fault Diagnosis
Authors: Ma Jiancheng , Huang Jinying , Liu Siyuan , Luo Jia , Jing Licheng
Published: August 2024

Rotating machinery is widely used in modern industrial systems, and its health status can directly impact the operation of the entire system. Timely and accurate diagnosis of rotating machinery faults is crucial for ensuring production safety, reducing economic losses, and improving efficiency. Traditional deep learning methods can only extract features from the vertices of the input data, thereby overlooking the information contained in the relationships between vertices. This paper proposes a Legendre graph convolutional network (LGCN) integrated with a self-attention graph pooling method, which is applied to fault diagnosis of rotating machinery. The SA-LGCN model converts vibration signals from Euclidean space into graph signals in non-Euclidean space, employing a fast local spectral filter based on Legendre polynomials and a self-attention graph pooling method, significantly improving the model’s stability and computational efficiency. By applying the proposed method to 10 different planetary gearbox fault tasks, we verify that it offers significant advantages in fault diagnosis accuracy and load adaptability under various working conditions.
The Impact of Managerialism on Nonprofit Organizations Serving People Experiencing Houselessness in the United States
Authors: Willner Lauren , Heller Sara M.
Published: August 2024

The concept of managerialism as it relates to the field of human services has garnered increased attention from researchers in recent years. Understood as the “dominance of management practices and ideas derived in the for-profit sector”, managerialism is widely embraced within the nonprofit sector in the United States. Despite increased attention to the role and impact of managerialism within human services, theoretical and empirical research examining the operationalization of managerialism within human service organizations remains limited. In the field of homeless services specifically, little is known about how managerialist ideology and practice affect the provision of services within organizations serving unhoused populations. This paper examines the role and impact of managerialism on the organizational functioning of a large homeless services agency located in a major metropolitan area of the United States. The specific ways managerialism is operationalized within this organization are examined. Further, the impact of managerialist ideology and practice on the organization’s ability to work successfully toward its mission of eradicating homelessness is discussed. In doing so, this paper suggests that managerialist approaches to providing homeless services may impede an organization’s ability to meet its goals and mission in ways that align with institutional logics more commonly associated with human service organizations and the nonprofit sector more generally.
Inverse Applications of the Generalized Littlewood Theorem Concerning Integrals of the Logarithm of Analytic Functions
Authors: Sekatskii Sergey K.
Published: August 2024

Recently, we established and used the generalized Littlewood theorem concerning contour integrals of the logarithm of analytical function to obtain new criteria equivalent to the Riemann hypothesis. The same theorem was subsequently applied to calculate certain infinite sums and study the properties of zeroes of a few analytical functions. In this article, we discuss what are, in a sense, inverse applications of this theorem. We first prove a Lemma that if two meromorphic on the whole complex plane functions f(z) and g(z) have the same zeroes and poles, taking into account their orders, and have appropriate asymptotic for large |z|, then for some integer n, dnln(f(z))dzn=dnln(g(z))dzn. The use of this Lemma enables proofs of many identities between elliptic functions, their transformation and n-tuple product rules. In particular, we show how exactly for any complex number a, ℘(z)-a, where ℘(z) is the Weierstrass ℘ function, can be presented as a product and ratio of three elliptic θ1 functions of certain arguments. We also establish n-tuple rules for some elliptic theta functions.
The Impact of Digital Talent Inflow on the Co-Agglomeration of the Digital Economy Industry and Manufacturing
Authors: Li Xiumin , Chen Zishuo , Chen Yaqi
Published: August 2024

The co-agglomeration of the digital economy industry and manufacturing is significant for addressing issues such as being “large but not strong” and “comprehensive but not refined” in China’s manufacturing sector. This study uses 269 cities in China from 2006 to 2022 as the research sample, innovatively employing data from digital economy enterprises and manufacturing enterprises to measure industrial co-agglomeration, and comprehensively analyzes the mechanism of how the inflow of digital talents influences the co-agglomeration of the digital economy industry and manufacturing. The findings are as follows: (1) From 2006 to 2022, the inflow of digital talents and the level of co-agglomeration between the digital economy industry and manufacturing in Chinese cities have consistently risen, generally moving towards higher inflow and higher levels of co-agglomeration. However, the inflow of digital talent in the central and western regions is relatively low, with most cities still facing difficulties due to inadequate policy support and resource investment. Industrial co-agglomeration exhibits characteristics of “core–periphery”, “multi-core agglomeration”, and “gradient diffusion” coexisting. (2) The flow of digital talents can significantly promote the co-agglomeration of the digital economy industry and manufacturing, and this conclusion remains valid after robustness testing. The flow of digital talents drives the co-agglomeration of the digital economy industry and manufacturing by enhancing the level of digital technology innovation, promoting the spillover and flow of digital knowledge, increasing the entrepreneurial activity of urban digital economy enterprises, and upgrading industrial structures. Furthermore, digital economy policies play a regulatory role in this process. (3) The promotion effect of digital talent inflow is more pronounced in low- and mid-end manufacturing, high-grade cities, well-developed digital infrastructure, and non-resource-based cities. By contrast, this effect is relatively weaker in high-end manufacturing and low-grade cities. In cities with weak digital infrastructure and resource-based cities, this effect is not significant. (4) The inflow of digital talents and the co-agglomeration of digital economy industry and manufacturing have a significant promotion effect on cities with similar economic development levels and adjacent geographical locations, demonstrating a positive diffusion effect.
Advances in Malaria Diagnostic Methods in Resource-Limited Settings: A Systematic Review
Authors: Yalley Akua K. , Ocran Joyous , Cobbinah Jacob E. , Obodai Evangeline , Yankson Isaac K. , Kafintu-Kwashie Anna A. , Amegatcher Gloria , Anim-Baidoo Isaac , Nii-Trebi Nicholas I. , Prah Diana A.
Published: August 2024

Malaria continues to pose a health challenge globally, and its elimination has remained a major topic of public health discussions. A key factor in eliminating malaria is the early and accurate detection of the parasite, especially in asymptomatic individuals, and so the importance of enhanced diagnostic methods cannot be overemphasized. This paper reviewed the advances in malaria diagnostic tools and detection methods over recent years. The use of these advanced diagnostics in lower and lower-middle-income countries as compared to advanced economies has been highlighted. Scientific databases such as Google Scholar, PUBMED, and Multidisciplinary Digital Publishing Institute (MDPI), among others, were reviewed. The findings suggest important advancements in malaria detection, ranging from the use of rapid diagnostic tests (RDTs) and molecular-based technologies to advanced non-invasive detection methods and computerized technologies. Molecular tests, RDTs, and computerized tests were also seen to be in use in resource-limited settings. In all, only twenty-one out of a total of eighty (26%) low and lower-middle-income countries showed evidence of the use of modern malaria diagnostic methods. It is imperative for governments and other agencies to direct efforts toward malaria research to upscale progress towards malaria elimination globally, especially in endemic regions, which usually happen to be resource-limited regions.
Energy-Momentum Squared Gravity: A Brief Overview
Authors: Cipriano Ricardo A. C. , Ganiyeva Nailya , Harko Tiberiu , Lobo Francisco S. N. , Pinto Miguel A. S. , Rosa João Luís
Published: August 2024

In this work, we present a review of Energy-Momentum Squared Gravity (EMSG)—more specifically, f(R,TμνTμν) gravity, where R represents the Ricci scalar and Tμν denotes the energy-momentum tensor. The inclusion of quadratic contributions from the energy-momentum components has intriguing cosmological implications, particularly during the Universe’s early epochs. These effects dominate under high-energy conditions, enabling EMSG to potentially address unresolved issues in General Relativity (GR), such as the initial singularity and aspects of big-bang nucleosynthesis in certain models. The theory’s explicit non-minimal coupling between matter and geometry leads to the non-conservation of the energy-momentum tensor, which prompts the investigation of cosmological scenarios through the framework of irreversible thermodynamics of open systems. By employing this formalism, we interpret the energy-balance equations within EMSG from a thermodynamic perspective, viewing them as descriptions of irreversible matter creation processes. Since EMSG converges to GR in a vacuum and differences emerge only in the presence of an energy-momentum distribution, these distinctions become significant in high-curvature regions. Therefore, deviations from GR are expected to be pronounced in the dense cores of compact objects. This review delves into these facets of EMSG, highlighting its potential to shed light on some of the fundamental questions in modern cosmology and gravitational theory.
Collaborative Changes between Soil Fauna and Urbanization Gradients in Guangzhou’s Remnant Forests
Authors: Wu Zhijian , Yu Shiqin , Xu Guoliang , Ling Yunan , Mo Lingzi , Chen Yuying , Wan Hongfu
Published: August 2024

Remnant forests are vital in urban ecosystems as they serve as a crucial link between organisms, inorganic environments, and human settlements. However, there is a lack of research on how urbanization affects the physical and chemical properties of soil in remnant forests, as well as the response of soil fauna to environmental changes within these forests. Our study utilized the urbanization gradient research method to investigate the characteristics of the soil fauna community in remnant forests across different urbanization gradients and to understand its intrinsic response to environmental changes. Our results indicate support for the “moderate disturbance hypothesis” based on the statistical values of diversity indices. Additionally, it was found that SOM and Pb are the primary factors influencing soil fauna diversity in the remnant forests, while SOM and Zn are the main influencing factors for the dominant soil fauna groups. To elucidate the impact of urbanization on soil fauna biodiversity in remnant forests, future studies should consider other urbanization factors.
Integración de las TIC en la Educación Superior para la enseñanza-aprendizaje de las Ciencias de la Vida
Authors: Suárez-Cedillo Sandra Elizabeth , Intriago-Reyna Hamilton Octavio , Peñafiel-Romero Jhosselyn Andrea
Published: August 2024

Las Ciencias de la Vida, en el marco de las tecnologías de la información y la comunicación (TIC), se destacan por su naturaleza científica, multidimensional y su relevancia social. Su enseñanza y aprendizaje requieren una actualización constante debido a su evolución continua y el impacto que generan en la sociedad. Las TIC se integran como herramientas didácticas mediadoras que facilitan el proceso de enseñanza-aprendizaje, permitiendo a los educadores y estudiantes interactuar y colaborar de manera más efectiva. Este enfoque fomenta la autoformación de los educadores y la autoeducación de los estudiantes a través de estrategias de aprendizaje colaborativas que abarcan desde la identificación de problemas hasta la autoevaluación. Se utilizan ambientes virtuales para transmitir conocimientos científicos, los cuales están vinculados con problemas globales y locales como la producción sostenible y el ahorro energético. Además, se promueve el desarrollo de competencias científicas y la apropiación de una cultura científica, enriqueciendo así el proceso educativo con un enfoque dinámico e interactivo.
PALABRAS CLAVE: TIC; Competencias científicas; Enseñanza-aprendizaje; Autoformación; Aprendizaje colaborativo.
Afectaciones del COVID-19 en la salud mental de estudiantes universitarios
Authors: Solorzano Castro Roque Adrian , Basurto Soza Giomara Jessenia , Molina Gorozabel Corina Nohemy , Mendoza Marcillo Lourdes Monserrate
Published: August 2024

El miedo, la ansiedad y el estrés son reacciones normales cuando nos afrontamos a situaciones desconocida y es natural que las personas tengan cambios emocionales durante la COVID-19. El presente trabajo investigativo se propuso conocer el estado mental durante la pandemia y los efectos que genera, por ello, el objetivo es determinar el impacto que ha causado la COVID-19 en la salud mental de los alumnos que forman parte de la Federación de Estudiantes de Medicina para Proyectos e Intercambios “FEMPPI ULEAM”. El tipo de investigación es Empirista-Inductivista con un diseño descriptivo, correlacional y transversal, cuya técnica utilizada fue la encuesta y un instrumento tipo cuestionario alojado en la plataforma Microsoft Forms, la misma fue administrada a 18 representantes de la directiva local de FEMPPI ULEAM 2022. En el cual un 56% indicó haber tenido un fuerte deterioro en su salud mental debido al confinamiento causado por la COVID-19, resaltando que el sexo femenino se vio más afectado con un 44% referente al estado anímico a comparación con el sexo masculino que tuvo un 28%. Dicho esto, podemos decir que el aislamiento ha causado trastornos psicológicos afectando a sus labores universitarias y a su calidad de vida.
SECULARISM AND PROBLEMATICS OF FREEDOM OF EXPRESSION IN FRANCE
Authors: Cahyo Wisnu Tri , Setyawan Widi
Published: August 2024

This article is related to the potential of hanphone waqf as a power for the development of the welfare of the people in the distance learning period. Waqf is no longer synonymous with land earmarked for educational institutions, tombs, places of worship or others, but waqf can also be used as a source of strength to realize the welfare of the people in economic empowerment or potential aids. The greater and more diverse the waqf assets that can be managed by nadzir professionally with proper management, the benefits that will be obtained from the management of waqf will be more widely used, thereby increasing the economy and welfare of the people.
THE RELEVANCE OF INTEGRATED ISLAMIC EDUCATION IN BUILDING NATION CHARACTERS IN THE DIGITAL 4.0 ER
Authors: Rifa’I Ahmad , Choli Ifham
Published: August 2024

Islamic religious education is one of the main components in shaping the character and personality of the nation. In this digital era 4.0 where particular communication has become universal, Islamic religious education must be able to become a spirit that directs technology so that it is always useful in human life. This study aims to find ways to integrate Islamic religious education with science and technology that can improve the character building of the nation. The research methodology used in this study is a qualitative descriptive research method that describes the current conditions of Islamic religious education learning and its relation to the nation's character building. The result of this research is that Islamic religious education should not be monolithic but must be integrated with non-religious subjects as well as science and technology so that today's young generation are willing and interested in studying religion well and Islamic religious education can be of value. which colors every skill and profession of Indonesian citizens, so that the morals and morals of the nation develop well according to the example of the Prophet Muhammad and aspired to by the state.
ANALISIS PENGARUH KUALITAS PRODUK DAN STRATEGI PROMOSI TERHADAP KEPUASAN PELANGGAN PADA BISNIS KULINER KEBAB BABAH ANTHA MEDAN
Authors: Permana Jaka
Published: August 2024

This study aims to assess the effect of product quality and promotional strategies on customer satisfaction in the Babah Antha Kebab Culinary in Medan. The type of research used in this research is descriptive quantitative research. The processed data is the result of distributing questionnaires to customers of Kebab Babah Antha Medan. The sampling method is non- probability sampling and the technique used in collecting respondents is accidental sampling technique. The data analysis technique used in this study is multiple linear regression. Based on the results of data analysis, it can be concluded that Product Quality and Promotional Strategy have a positive and significant effect on Customer Satisfaction in the Kebab Babah Antha culinary business in the city of Medan. In this study, it was found that the value of product quality was 10.090 > ttable 1.988 with a significance level of 0.01 <0.05 so it can be concluded that product quality has a positive significant effect on customer satisfaction. Then the promotion strategy has a tcount of 5.099 > ttable 1.988 with a significance level of 0.01 <0.05 so it can be concluded that the promotion strategy has a positive significant effect on customer satisfaction. In addition, it also produces a Fcount value of 310.56 > Ftable 3.89 with a significance level of 0.01 < 0.05 so it can be concluded that in this study simultaneously product quality and promotion strategy have a significant effect on customer satisfaction.
PERANCANGAN APLIKASI BERBASIS WEBSITE DI GRIYA SABA INSANI 2 MENGGUNAKAN METODE WATERFALL DAN USABILITY TESTING
Authors: Utaminingtias Bekti , Sekarjati Kartinasari Ayuhikmatin , Yusuf Muhammad
Published: August 2024

Griya Saba Insani 2 merupakan UMKM yang menyediakan lapangan olahraga bulu tangkis untuk disewakan yang berlokasi di Wonocatur, Banguntapan, Bantul, Yogyakarta. Griya Saba Insani 2 menyediakan tiga lapangan. Pelanggan melakukan pemesanan lapangan bulu tangkis dengan menghubungi pengelola melalui aplikasi WhatsApp. Cara tersebut masih mengakibatkan jadwal bertubrukan, karena pengelola melakukan penjadwalan secara manual. Penelitian ini bertujuan untuk memberikan solusi kepada pengunjung dalam melakukan pemesanan lapangan bulu tangkis. Aplikasi berbasis website yang dirancang menampilkan jadwal yang masih tersedia. Pengunjung website dapat memilih sendiri jadwal yang diinginkan. Jadwal yang sudah dipesan tidak dapat dipesan oleh orang lain. Pengelola Griya Saba Insani 2 tidak perlu melakukan input data pelanggan secara manual, karena sudah ter-input secara otomatis oleh sistem. Aplikasi ini diuji usabilitas menggunakan System Usability Scale (SUS) yang memiliki nilai rata-rata SUS 73, berdasar grade scale masuk kategori C, serta adjective rating masuk kategori Good
Peran Mahasiswa MSIB Batch 5 Divisi Marketing Communication Education Content terhadap Database Marketing
Authors: Ananta Kalyana Risma
Published: August 2024

This report details the execution of MSIB activities undertaken by the author as the final Internship Report at PT Maleo Edukasi Teknologi for approximately 5 months, from August 14th to December 31st, 2023. The internship program at PT Maleo Edukasi Teknologi (Educourse.id) accommodated a total of 100 participants. Educourse.id functions as a subsidiary of PT Maleo Edukasi Teknologi, established on June 1st, 2020, with a vision to become the foremost STEAM-based educational learning platform preparing future skills aligned with Indonesia's Industry 4.0. Focused on STEM education, Educourse.id's report encompasses the implementation of the marketing communication education content division at Educourse.id, outlining the processes, obstacles encountered, and successes achieved in marketing Educourse.id's products.
Safety issues of subcutaneous cardioverter-defibrillator systems. Is everything so simple and definitely?
Authors: Amanatova V. A. , Uskach T. M. , Grishin I. R. , Sapelnikov O. V. , Kostyleva O. V.
Published: August 2024

Aim. To evaluate the safety of subcutaneous cardioverter-defibrillator (SCD) systems.

Methods. Fifty-six patients underwent implantation of a SCD. The follow-up period for patients was 18 months. The number of early and late complications, as well as the number of episodes of shock therapy, were assessed.

Results. During observation, complications were recorded in 5 patients, which amounted to 0.9% of the total number of surgical interventions performed. Three complications occurred in the early postoperative period. In the late post-operative period, complications occurred in 2 (3.5%) patients. The number of inappropriate shocks in the total sample of patients was 6 episodes (10.7%).

Conclusion. SCD systems are effective for primary and secondary prevention of sudden cardiac death. Implantation of these systems is associated with a low number of perioperative complications, as well as a low percentage of inappropriate shock therapy.
Prognostic factors for the effectiveness of catheter ablation of focal atrial tachycardia in school-age children: data from a single-center registry study
Authors: Kovalchuk T. S. , Tatarsky R. B. , Alekseeva D. Yu. , Mikhailov E. N. , Lebedev D. S. , Gureev S. V. , Chueva K. A. , Peregudina O. L. , Marapov D. I. , Vasichkina E. S.
Published: August 2024

Aim. To identify factors associated with the effectiveness of radiofrequency catheter ablation (RFA) of focal atrial tachycardia (AT) in school-aged patients in the long-term period.

Methods. The study group consisted of 57 children aged 11 to 17 years 11 months (Me 15.83, IQR 14.63-17.0), who underwent catheter ablation, including repeated, for focal AT in the Almazov National Medical Research Centre from December 2009 until April 2023. We analyzed clinical and demographic data, laboratory data, parameters of tachyarrhythmia, electrophysiological study and RFA. Structural heart diseases were present in 13 children, and idiopathic arrhythmia was present in 44 patients. The criterion for intraoperative effectiveness were the absence of arrhythmia at the end of the waiting period in the X-ray operating room, delayed - within 12 months after the procedure.

Results. Intraoperative effectiveness of RFA was achieved in 51 patients (89.5%), long-term - in 32 patients (56.1%). Based on the data obtained, a prognostic model of the delayed effectiveness of RFA of focal AT in school-age children was developed (p<0.001). Predictors included in the model: percentage of arrhythmia during the day (odds ratio (OR): 0.981; 95% confidence interval (CI) 0.962-0.999; p=0.043), presyncope (OR: 0.177; 95% CI 0.035-0.903; p=0.037), number of ectopic foci (OR: 0.289; 95% CI 0.128-0.649; p=0.003), right atrium localization (OR: 0.097; 95% 0.013-0.699; p=0.021). The area under the ROC curve corresponding to the association of the absence of arrhythmia after ablation and the values of the logistic regression function was 0.843±0.54 with 95% CI: 0.738-0.938. The sensitivity was 81.3%, specificity - 76.0%. No significant association with effectiveness of RFA was found between the method of arrhythmia induction and the use of drug sedation.

Conclusion. It was established that factors such as percentage of arrhythmia during the day, the presence of presyncope, the number of ectopic foci and the presence of an ectopic foci in the right atrium had an inverse relationship with the effective outcome of RFA.
Therapeutic potential of flecainide for cardiac arrhythmias: a short review of studies and clinical recommendations
Authors: Condori Leandro H. I. , Lebedev D. S. , Mikhaylov E. N.
Published: August 2024

Flecainide is a IC antiarrhythmic drug with a history of more than 30 years, nowadays it is widely used for the management of acute episodes of atrial fibrillation and sinus rhythm maintenance, however, firstly was approved for the treatment of ventricular arrhythmia and later due to the results of the Cardiac Arrhythmia Suppression Trial was contraindicated in patients with ischemic structural heart disease. Of note, flecainide use is feasible in different clinical situations, such as catecholaminergic polymorphic ventricular tachycardia, for unmasking Brugada syndrome, and for patients with long QT syndrome. In our country, flecainide is new for clinical use; therefore, the clinical experience with flecainide is limited. In this review article, we aim to describe the use of flecainide and its role in the management of cardiac arrhythmias.
El espacio social desde las cartografías feministas
Authors:   , Yang Rappaccioli Selene Fernanda
Published: August 2024

Las temáticas que aborda esta investigación son: Género, feminismo y comunicación desde la geografía y las prácticas de creación de datos geoespaciales abiertos, colaborativos y digitales a partir de diferentes comunidades de práctica, para entender en clave feminista los procesos socio-comunicacionales y culturales de la producción del espacio y las cartografías. El recorrido de esta investigación supone un transitar no lineal sobre las cartografías digitales feministas y colaborativas, para entenderlas desde el plano comunicacional, desde el plano experiencial, y desde las dimensiones físicas y virtuales, cómo se produce, reproduce e interpreta el espacio a partir de los mapas, y las apropiaciones de la tecnología para crearlos.
Nuevo método para la determinación de colesterol libre usando sulfato de oxiquinolina
Authors:   , Taliberti Isabela Catalina
Published: August 2024

Desde el año 1909 en que Windaus halló la propiedad del colesterol libre de combinarse con la digitonina para formar un precipitado insoluble en éter de petróleo, alcohol, éter sulfúrico, etc., propiedad que no tiene el colesterol combinado, se emplea este digitónido para determinar colesterol libre en sangre. A partir de ese año, la bibliografía cita enorme cantidad de métodos propuestos, para la determinación de este tipo de colesterolemia, métodos que, con alguna variante, aplican como reacción fundamental la formación del colesterol digitónido, pero, hasta 1935, ningún autor introdujo una técnica que fuése innovadora. Fué recién en 1936 cuando Sotel, Drekter y Natelson descubren la interesante propiedad del colesterol libre de precipitar del éter de petróleo como sulfato de colesteril piridina y la aplican en su método para determinar el colesterol total y sus fracciones en sangre. Hacen además estos autores una interesante observación acerca de los valores de colesterol libre determinados por el sulfato de piridina que son un tercio más bajos que los obtenidos en la precipitación con digitonina, lo que les hace suponer la existencia de dos formas de colesterol no esterificado: una libre que precipita con el sulfato de piridina y otra en combinación, posiblemente con proteínas que precipita conjuntamente con la libre ya mencionada, con la digitonina. Estas observaciones han servido de base para el presente trabajo de tesis en el que nos proponíamos estudiar el método que ha tenido tan poca difusión hasta el presente; tratar de modificarlo en el sentido de hacerlo más rápido y sencillo para un posterior estudio en la determinación de la fracción del colesterol libre, que reacciona distintamente con digitonina y sulfato de piridina, es decir, esa fracción que los autores denominan: colesterol "flojamente unido", que estudiado en las distintas enfermedades, pudiera ser un aporte en el diagnóstico.
Pengembangan LKPD IPA Terpadu Berbasis Keterampilan Proses Sains pada Materi Cahaya dan Alat Optik untuk Meningkatkan Keterampilan Proses Sains Peserta Didik SMP Kelas VIII
Authors: Amalina Yumni , Ramlawati Ramlawati , Rusli Muhammad Aqil
Published: August 2024

This research was Research and Development aiming to produce Student Worksheet based on valid, practical, and effective science-process skills. This research used 4D Thiagarajan model.  From the research results, it is showed that testing on experts indicate that the average of LKPD device score is valid with validity content of 1. It means that the developed LKPD is feasible in conceptually. Next, the percentage of LKPD  practicality assessment results by educators shows very positive criteria with percentage 98%, it means that the educators can use the LKPD to be applied in learning process, as well as the percentage of learners’ responses on the developed LKPD shows very positive criteria with percentage of 96%, it means that the learners respond positively on the developed LKPD. Furthermore, the percentage of LKPD effectiveness assessment results as measured by science process skills assessed from N-gain result is 81.82% classified into medium category. Based on the research results, it can be concluded that the integrated LKPD of natural science based on developed science process skills satisfies validity, practicality, and effectiveness criteria.
Pengaruh Metode Brainstorming pada Model Learning Cycle 5E terhadap Hasil Belajar Peserta Didik Kelas VIII SMPN 2 Sukamaju Kab. Luwu Utara
Authors: Udin Suciati , Ramlawati Ramlawati , Yunus Sitti Rahma
Published: August 2024

This study aims to find out 1) the increase in learning outcomes of grade VIII students of SMPN 2 Sukamaju taught using brainstorming method on the learning cycle 5e model, 2) the increase in learning outcomes of grade VIII students of SMPN 2 Sukamaju taught using the learning cycle 5e model without brainstorming method, 3) whether there is influence of brainstorming method on learning cycle 5e model on learning outcomes of grade VIII students of SMPN 2 Sukamaju. The research was conducted using Nonequivalent Design Group Control. This research was conducted at SMPN 2 Sukamaju North Luwu 2018/2019. The sampling using purposive sampling technique . The study sample used 33 people in the experimental class and 32 people in the control class. The instruments used learning outcomes test sheets. Data analysis was performed using descriptive and inferential analysis. Analysis of increasing learning outcomes were using N-Gain, reveals that student’s learning outcomes scores were taught by brainstorming methods on the learning cycle 5e model is 0,66 in the medium category. While the learning outcome score for the control class that used the learning cycle 5e model without the brainstorming method is 0,54 in the medium category. Based on the results of hypothesis testing showed that Ha was accepted at α = 0,05, for the results of learning outcomes obtained tcount = 2,76 ˃ ttable = 1,67. It could be concluded that the brainstorming method in learning cycle 5e model has an effect on increasing learning outcomes of grade VIII students of SMPN 2 Sukamaju on the subject matter of additives and addictive.
Perbandingan Pengaruh Metode Peta Pikiran dan Peta Konsep pada Model Discovery Learning terhadap Hasil Belajar Peserta Didik Kelas VII SMP Negeri 18 Makassar (Studi pada Materi Pokok Pemanasan Global)
Authors: Hamka Nurfahmi , Ramlawati Ramlawati , Yunus Sitti Rahma
Published: August 2024

The purpose of research : (1) Determine score learning outcomes of students of VII Class SMPN 18 Makassar (Study on Global Warming) that learned using mind mapping method on discovery learning models, (2) Determine score learning outcomes of students of VII Class SMPN 18 Makassar (Study on Global Warming) that learned using concept mapping method on discovery learning models, and (3) Does the mind mapping method on discovery learning models have more influence on the learning outcomes of VII Class SMPN 18 Makassar (Study on Global Warming) compared to the concept mapping method on discovery learning models. This research is a Quasi Experimental by using a modified research design . The population of this study were all students of class VII of SMPN 18 Makassar . Sampling through purposive sampling technique and obtained class VII 1 as experimental class I and class VII 2 as experimental II. This research instrument is in the form of multiple choice learning outcomes in the form of 20 items that have been validated by experts. Data collection techniques in this study were the provision of pretest and posttest . Data analysis with descriptive statistics and inferential statistics. The results of inferential  analysis using t-test obtained that H0 is rejected by Ha is accepted so that it can be concluded that the learning outcomes of students who are taught using the mind mapping method are higher than the learning outcomes of students who are taught to use the concept mapping method.
Pengaruh Model Pembelajaran Children Learning in Science (CLIS) terhadap Aktivitas dan Hasil Belajar IPA Siswa Kelas V SD
Authors: Darsanianti Darsanianti , Kune Syarifuddin , Ristiana Evi
Published: August 2024

The purpose of this study was to describe the implementation of the Children Learning in Science (CLIS) model, a description of student learning outcomes on respiratory subject after the application of the CLIS method, and to determine the effect of CLIS model on the activities and learning outcomes of fifth grade students at SDN 207 Lemo-lemo, Lilirilau District, Soppeng Regency. This research is an experimental research, with One Group Pretest-Posttest design. The sample consisted 7 students of fifth grade at SDN 207 Lemo-lemo as the experimental group and 6 students of fifth grade at SDN 277 Sarecoppeng as the control group. Data collection techniques were carried out through observation, questionnaires, and tests. Hypothesis testing was carried out using SPSS 20. The test results showed a significant value (Sig.) of 0.0060.05, so Ho was rejected and Ha was accepted. Based on the result, it can be concluded that there was a significant difference between the average learning outcomes of the experimental group using the CLIS learning model and the average learning outcomes of the control group using conventional methods. Student and teacher activities after the implementation of CLIS model was in the high category. Likewise, learning outcomes show that the average posttest of students is higher than the pretest scores, so there is an effect of using the CLIS model on learning activities and student learning outcomes in class V SDN 207 Lemo-Lemo.