Miracle-dz/UniFAR-FTUs huggingface dataset:
Analisis topik konten channel YouTube K-pop Indonesia menggunakan Latent Dirichlet Allocation

The development of digital technology has brought new media, one of which is Youtube, which is now one of the most widely used applications for internet users in the world. The growth of the audience which is known as viewers, is also suported by the contribution from the content creators or also known as YouTubers from Indonesian. The more the viewers grow, the more their demand for trend content are also grwoing at surprisingly speed in one of the topics which is H-pop. In this study, the author wanted to see the dominant topics that K-pop YouTubers often upload to support content creator. This research was conducted using the Latent Dirichlet Allocation method. The analysis was carried out on after using text mining on 2563 videos from 10 K-pop YouTuber accounts with more than 100,000 subscribers. To determine the optimal number of topics by looking at the value of perplexity and topic conherence. The results obtained are the top 5 topics that are the content material in the uploaded video. These topics include reactions to dance covers, unboxing on albums and conducting reviews, riddles from K-pop dances and vlogs together to discuss about covers and reactions to sounds on K-pop songs.
Data and model-based triple V product development framework and methodology

ABSTRACT Traditional product development frameworks were developed decades ago, lacking the utilization of big data technology and model-based systems engineering (MBSE) theory. This paper proposes a data and model-based triple V framework based on the traditional V framework and double V framework, covering lifecycles of the product, model, and data. By mapping the Harmony methodology and adding data analysis methods to the triple V framework, a structured methodology of the framework is constructed. This paper applies the proposed framework and its methodology in designing a damage control system (DCS) based mission system and then verifies the new framework’s efficiency.
Three-dimensional formulation of a strain-based geometrically nonlinear piezoelectric beam for energy harvesting

In this paper, the authors introduce a model of a strain-based geometrically nonlinear piezoelectric beam for modeling energy harvesters. A nonlinear shear-underfomable 3-D Rayleigh’s beam theory is used to model the displacement fields and can be considered as an interesting alternative to linear and highly nonlinear models commonly presented in the literature. The nonlinearities are introduced to reproduce the behavior of the flexible structure, since moderate to large displacements can occur in response of external loading conditions. The finite element method is used to model the piezolaminated bimorph configuration. Each finite element consists of two piezoelectric energy harvesters embedded or perfectly bonded to an elastic substrate. The electromechanical coupling includes axial and flexural effects as well as additional term that comes from the nonlinearity incorporated into the strain tensor. Additionally, the authors explore briefly two topics for linear harvesters: the influence of the electric domain on the structural properties and, the performance of the harvester near resonance in term of electric power output of a purely resistive network. As a validation case, a cantilevered piezoelectric energy harvester under base excitation is modeled. Alongside, the response to gust of a harvester embedded in a wing structure is analyzed.
A novel descriptor redundancy method based on delay partition for exponential stability of time delay systems

This paper investigates the exponential stability of uncertain time delay systems using a novel descriptor redundancy approach based on delay partitioning. First, the original system is casted into an equivalent descriptor singular state–space representation by introducing redundant state variables so that the resulting delay is progressively reduced. From the equivalent model and applying Lyapunov Functional method, a sufficient condition based on Linear Matrix Inequalities (LMIs) for exponential stability with guaranteed decay rate performance is obtained. As a result, the inherent conservatism of Lyapunov–Krasovskii functional techniques can arbitrarily be reduced by increasing the number of delay partition intervals including decay rate performance and model uncertainties in polytopic form. Various benchmark examples are provided to validate the effectiveness of the proposed method, showing better trade-off between conservatism and performance in comparison to previous approaches.
Directional Coupler Calibration for Accurate Online Incident Power Measurements

This letter proposes a calibration method to properly measure the incident power in a directional coupler (DC) when the measurement configuration has low directivity. The proposed method is based on measurements of short-circuits placed at different distances to calibrate the DC response. Results show that the method is clearly robust and provides accurate measurements even for directivities as low as 10 dB.
DEVELOPMENT OF NEURAL THERMAL SCATTERING (NeTS) MODULES FOR REACTOR MULTI-PHYSICS SIMULATIONS

Modern multi-physics codes, often employed in the simulation and development of thermal nuclear systems, depend heavily on thermal neutron interaction data to determine the space-time distribution of fission events. Therefore, the computationally expensive analysis of such systems motivates the advancement of thermal scattering law (TSL) data delivery methods. Despite considerable improvements on past strategies, current implementations are limited by trade-offs between speed, accuracy, and memory allocation. Furthermore, many of these implementations are not easily adaptable to additional input parameters (e.g., temperature), relying instead on various interpolation schemes. In this work, a novel approach to this problem is demonstrated with a neural network trained on beryllium oxide thermal scattering data generated by the FLASSH nuclear data code of the Low Energy Interaction Physics (LEIP) group at North Carolina State University. Using open-source deep learning libraries, this approach maps a unique functional form to the S(α,β,T) probability distribution function, providing a continuous representation of the TSL across the input phase space. For a given material, the result is a highly accurate, neural thermal scattering (NeTS) module that enables rapid sampling and execution with minimal memory requirements. Moreover, extension of the NeTS phase space to other parameters of interest (e.g., pressure, radiation damage) is highly possible. Consequently, NeTS modules for different materials under various conditions can be stored together in material “lockers” and accessed on-the-fly to generate problem specific cross-sections.
Fecal microbiota transplantation via colonoscopy in a dog with Clostridioides (Clostridium) difficile infection

ABSTRACT: In dogs, antimicrobial therapy for Clostridioides (Clostridium) difficile infection (CDI) is based solely on metronidazole, leaving limited treatment options in case of recurrent disease. Fecal microbiota transplantation (FMT) has been successfully used in humans with recurrent CDI, whereas the usefulness of this approach is largely unknown in dogs. In the present study, a dog with a chronic-recurring diarrhea was treated with FMT via colonoscopy. CDI was confirmed by A/B toxin detection and isolation of toxigenic C. difficile from ribotype 106, a strain also commonly associated with nosocomial infection in humans. The dog recovered well after the procedure and C. difficile was no longer isolated from its stool sample. The present research suggested that FMT could be a useful tool to treat recurrent CDI in dogs, corroborating the actual protocol in humans.
A STUDY TO ASSESS KNOWLEDGE, ATTITUDE AND PRACTICE ON BREAST CANCER AMONG WOMEN IN GOVERNMENT GENERAL HOSPITAL

Objectives: Breast cancer is the most frequent cancer in women worldwide and it accounts for 27% of all cancer cases among women in India. This study aims to assess the awareness of the patients regarding the breast cancer and also to check their knowledge toward the symptoms of breast cancer as well as the breast self-examination process. This study also determines the attitude of patients regarding the breast cancer and breast self-examination. Methods: A prospective educational study was done using a pre-designed questionnaire on 523 patients in a tertiary care teaching hospital for a period of 6 months. All women greater than 20 years admitted in the Department of General Medicine and General Surgery in-patient female ward of SVRRGGH were included in the study. Results: Out of 523 women, a greater proportion respondents 515 (98%) had poor knowledge of breast cancer. Two hundred and eighty-one (53%) show positive attitude while 225 (43%) show neutral attitude and 17 (4%) show negative attitude toward breast cancer. Only 18 (0.3%) know how to perform breast self-examination while the remaining patients have never performed the breast self-examination. Two hundred and one (38%) have agreed to consult a doctor if they found any lumps in the breast whereas the remaining did not respond. After the counseling session with patients, their knowledge regarding the above problems related to breast cancer has significantly increased. Conclusion: Majority of the participants had poor knowledge of breast cancer as well as low level of practice of breast cancer screening procedures. However, patients do have a positive attitude toward the breast cancer which can help to detect the cancer in early stages. Hence, a greater focus on providing breast cancer education programs can create awareness among women in respect to screening programs which, in turn, can decrease the risk of death due to its late discovery.
Distributed impulsive control for secure consensus of nonlinear dynamical networks with node delay under denial‐of‐service attacks

This paper investigates secure consensus problems of nonlinear dynamical networks (NDNs) with node delay under denial‐of‐service (DoS) attacks, which can cause a break in communication links. It will lead to packet loss. To ensure the secure consensus in this scenario, we propose an effective impulsive control which only based on sampled information from neighbor nodes. Based on the Lyapunov stability theory and the impulsive comparison principle, an upper bound of the average impulse interval is derived to ensure the exponential consensus of NDNs under DoS attacks, and the convergence rate can be estimated. Finally, a numerical example is provided to check the theory results.
Continuous Cultures of Plasmodium Falciparum Established in Tanzania from Patients with Acute Malaria

Background Malaria morbidity and mortality, almost entirely from Plasmodium falciparum, are still rampant in Africa: therefore, it is important to study the biology of the parasite and the parasite-host cell interactions. In vitro cultivation of Plasmodium falciparum is most useful for this purpose, as well as for investigating drug resistance and possible new therapies. Here we report that the Trager & Jensen continuous culture of P. falciparum can be established in a laboratory in Tanzania with minimal facilities and with modest expenditure. Methodology This was an in-vitro set up of continuous culture of Plasmodium falciparum study, carried out in 2016–2020 at Muhimbili university of health and allied sciences, Dar-es salaam. Parasite samples were obtained from patients with acute malaria, frozen parasites, and live cultures. Data was collected and analyzed using GraphPad Prism version 8. Results We have successfully achieved exponential growth of existing strains that are used worldwide, as well as of parasites in clinical samples from patients with acute malaria. In the aim to optimize growth we have compared human serum and bovine serum albumin as components of the culture media. Additionally, culture synchronization has been achieved using sorbitol. Conclusion This experimental system is now available to our institution and to researchers aiming at investigating drug sensitivity and mechanisms of protection against Plasmodium falciparum that accrue from various genes expressed in red cells.
Embedded system environment self-awareness using LIDAR technologies for robotics applications

LIDAR technology is a major part of autonomous robots. That technology provides the necessary data for autonomous navigation, localization, surface scanning and obstacle detection. This paper presents a modular embedded system architecture, which is a part of a self-sufficient AI. The LIDAR software module of the proposed system is described. That module will provide 2D information about the surrounding environment. It is developed like a loadable module with options for self-compiling in the system. This research is the first step of self-awareness embedded system. In addition, we illustrate the application of the module in localization and navigation of mobile robots. The results achieved show that the developed software module is applicable for robotics localization and navigation.
Re-examining oil and BRICS’ stock markets: new evidence from wavelet and MGARCH-DCC

ABSTRACT This study examines how the relationship between oil and stock market return of BRICS behaves at different investment horizons. Using data ranging from 2006 to 2020, the wavelet and MGARCH-DCC found that the stock markets’ return of Russia, Brazil, and South Africa are comparatively more correlated with oil price return across the investment horizons and more volatile particularly during the Covid-19 period. However, the stock markets’ return of China and India is less correlated with oil price return and less volatile. It is also revealed that oil price return leads the BRICS’ stock markets’ return and both are positively correlated.
Cation folding and the thermal stability limit of the ionic liquid [BMIM+][BF4−] under total vacuum

Molecular dynamics simulations reveal the behavior of the bimodal distribution of cation conformations (folded/unfolded) in ionic liquids based on alkylated imidazoles, such as [BMIM+][BF4−]. The alkyl chains of the cations can fold and block interactions between the cations and anions, thereby reducing the cohesivity of the liquid. At room temperature, the folded conformations represent less than one-third of the total conformations. In contrast to the behavior observed during the thermal denaturation of proteins, in ionic liquids, the concentration of folded cations grows when the temperature increases. At the equimolar concentration, the system reaches the reported experimental temperature of thermal stability (similar to the thermal denaturation behavior). There is an outermost layer of cations at the interface that can tilt toward the interface and cover a layer of anions adsorbed at the interface. This interfacial conformation makes the system stable in transverse directions and unstable in the normal direction at temperatures in the region of thermal instability, limiting the rate of vaporization of neutral ion pairs, which are observed as rare events at temperatures as low as 773.15 K.
Regret Bounds and Regimes of Optimality for User-User and Item-Item Collaborative Filtering

We consider an online model for recommendation systems, with each user being recommended an item at each time-step and providing ‘like’ or ‘dislike’ feedback. Each user may be recommended a given item at most once. A latent variable model specifies the user preferences: both users and items are clustered into types. All users of a given type have identical preferences for the items, and similarly, items of a given type are either all liked or all disliked by a given user. We assume that the matrix encoding the preferences of each user type for each item type is randomly generated; in this way, the model captures structure in both the item and user spaces, the amount of structure depending on the number of each of the types. The measure of performance of the recommendation system is the expected number of disliked recommendations per user, defined as expected regret. We propose two algorithms inspired by user-user and item-item collaborative filtering (CF), modified to explicitly make exploratory recommendations, and prove performance guarantees in terms of their expected regret. For two regimes of model parameters, with structure only in item space or only in user space, we prove information-theoretic lower bounds on regret that match our upper bounds up to logarithmic factors. Our analysis elucidates system operating regimes in which existing CF algorithms are nearly optimal.
Forage species and summer management impacts on soil carbon and nitrogen in winter stockpiled grazing systems

Funding information USDA-NRCS-CIG, Grant/Award Number: 69-3A75-14-257 Abstract Soil organic matter (SOM) in managed grasslands have economic and environmental benefits. This experiment evaluated a stockpiled winter grazing system with two summer management treatments (grazing or hay harvest) and three forage species treatments: tall fescue (TF, Schedonorus arundinaceus Schreb.), switchgrass (SG, Panicum virgatum L.), and mixed big bluestem–Indiangrass [BBIG, Andropogon gerardii Vitman–Sorghastrum nutans (L.) Nash]. Soil was sampled on 18 dates (January 2016–July 2017) at two depths (0–5 and 5–15 cm) in 15 paddocks in central Tennessee. Total organic carbon and total nitrogen concentrations in 0–5-cm samples were greater in grazed paddocks relative to hay harvest, and greater in TF relative to BBIG and SG. Summer grazing also resulted in greater 0–5-cm permanganateoxidizable carbon (POXC) and 5–15 cm hot-water extract ultraviolet absorbance at 254 nm (A254). Hot-water extractable carbon, A254, and POXC concentrations were reduced in SG soils compared with TF and BBIG. Summer hay harvests, compared with grazing, reduced hot-water extractable C/N in both soil horizons in TF. The interactions between management and plant species suggests contrasting nutrient cycling associated with TF and the morphologically different native grasses BBIG and SG. This study represents the first observations of soil impacts within stockpiled grazing systems and the first observations of grazed native grass species in the southeastern United States.
Application and improvement of capture-recapture model for crowdsourced testing

Crowdsourced testing has become an effective alternative to traditional testing. However, crowdsourced testing is inherently difficult to manage. In this paper, objective information such as defect count is considered to evaluate the task process. We researched how the capture-recapture model estimates the total number of defects in a crowdsourced testing scenario. By comparing the difference between crowdsourced testing and traditional testing, incremental sampling methodology and the best estimator for crowdsourced testing were proposed to estimate the number of defects, so as to improve the ability to evaluate the completion degree of crowdsourced testing task.
A Study of Participation Motivation, Experience and Satisfaction in Camping Tourists

In recent years, camping is popular in Taiwan, but the research on campers’ participation behavior is still insufficient. The purpose of this research is to analyze the structural relationship between camping tourists’ motivation, experience, and satisfaction. The survey was conducted in a convenient sampling method, and a total of 464 valid questionnaires were collected. After descriptive statistics and partial least squares (PLS) statistics analysis, the results show that the higher the motivation of camping tourists, the more positive their experience and the higher their satisfaction. In addition, this research also confirms that experience has a mediating effect on motivation and satisfaction in terms of academic theory.
Public-sector Financial Management and E-government: The Role Played by Accounting Systems

ABSTRACT The paper investigates the relationship between two central features of public-sector financial management reforms: accounting innovations and e-government. It focuses on the quality and ease of access to information provided by different accounting systems and e-government strategies. Based on a sample of 33 Organization for Economic Cooperation and Development (OECD) countries, the findings underscore the need to adopt a holistic perspective that considers not only technological issues but also the quality and integrity of information, its international comparability, and the socioeconomic context. The results suggest that both technical and social factors should be considered in adopting e-government.
Semi-analytical analysis of high-brightness microbunched beam dynamics with collective and intrabeam scattering effects

The studies of incoherent single-particle and collective multi-particle effects are, in general, separated in accelerator beam dynamics in that the two dynamical phenomena involve quite different time scales. Recent experimental measurements indicate that in some parameter regime, the small-angle, multiple scattering effects within a high-brightness electron beam can have a strong influence on microbunched beam dynamics. In this paper, we apply our recently developed semi-analytical kinetic analysis to investigate the collective phase space microbunched dynamics in the presence of incoherent single-particle effects. Particular emphasis will be placed on evaluation of the intrinsic or slice energy spread. An example of two linear beam transport lines, followed by two identical, interleaving bunch compressor chicanes, is then presented. The semi-analytical calculations are consistent with particle tracking simulations. Moreover, the threshold condition is derived, indicating the relation among relevant physical quantities. At threshold, the incoherent effect can be beneficial for effective suppression of the collective microbunching instability. We expect that this work could shed light on high-brightness electron transport beamline design to improve short-wavelength free-electron laser performance.
Drivers of Repurchase Intention of Organic Food in India: Role of Perceived Consumer Social Responsibility, Price, Value, and Quality

Abstract Sustainable consumption and organic food demand are increasing at a rapid rate in emerging economies. This research studies the repurchase intention toward organic food in the Indian context and employs a cross-sectional survey technique (n = 450). The study analyses the role of perceived consumer social responsibility, price, value, and quality in repurchase intention through structural equation modeling using PLS-SEM. Findings suggest that perceived price fairness and perceived value have a significant influence on repurchase intention; perceived consumer social responsibility positively influences perceived price fairness and perceived quality. Interestingly, the relationship between perceived quality and repurchase intention was not significant; however, the indirect effect of perceived quality was found significant. Furthermore, the mediating role of perceived value was established in the relationship of perceived price fairness and repurchase intention as well as perceived quality and repurchase intention, signifying the importance of perceived value for Indian consumers.