Miracle-dz/UniFAR-FTUs huggingface dataset:
PENERAPAN AKUNTANSI PADA DESA WISATA NGLINGGO KABUPATEN KULON PROGO

The program for the development and utilization of resources and the potential of regional tourism are expected to contribute to economic development. In order for tourism development to run optimally, good fund management is needed by applying accounting that is in accordance with the standards, namely the Financial Accounting Standards of Entities Without Public Accountability (SAK ETAP). This study aims to determine the application of accounting and help the preparation of financial statements in Nglinggo Tourism Village Kulon Progo Regency based on Financial Accounting Standards of Entities Without Public Accountability (SAK ETAP). This study uses qualitative research with a case study method. The data source used is secondary data. The data collection technique used is documentation and literature study. The data analysis technique uses descriptive analysis. The results of this study indicate that Nglinggo Tourism Village is a Tourism Village Management Agency engaged in services. Recording conducted by Nglinggo Tourism Village is manual and not computerized, which is used to determine the amount of profit and loss and the amount of salary costs and profit sharing costs so that it is still far from SAK ETAP. Based on this, the researchers sought to assist in the preparation of the financial report of Nglinggo Tourism Village in accordance with SAK ETAP, namely by preparing a system and accounting procedures based on the accounting cycle consisting of identifying stages, recording stages, classification stages, summarizing stages and reporting stages in the form of earnings reports loss and balance sheet. Based on the results of the financial statements that have been prepared, it shows that the income of Nglinggo Tourism Village is relatively large, where in 2017 the total income earned was Rp 281,819,000 with net income of Rp 65,608,792.
Titius-Bode laws in the solar system. 1: Scale invariance explains everything

According to the Titius-Bode law, the planetary distances to the sun follow a geometric progression. We review the major interpretations and explanations of the law. We show that most derivations of Titius-Bode law are implicitely based on the assumption of both rotationaI and scale invariance. In absence of any radial length scale, linear instabilities cause periodic perturbations in the variable x = ln(r/r 0 ). Since maxima equidistant in x obey a geometric progression in the variabIe r, Titius-Bode type of laws are natural outcome of the linear regime of systems in which both symmetries are present; we discuss possible nonlinear corrections to the law. Thus, if Titius-Bode law is real, it is probably only a consequence of the scale invariance of the disk which gave rise to the planets
Effect of Cardamine violifolia on Plasma Biochemical Parameters, Anti-Oxidative Capacity, Intestinal Morphology, and Meat Quality of Broilers Challenged with Lipopolysaccharide

Simple Summary Selenium (Se) is a crucial trace nutrient for animal maintenance and growth as well as human health. Organic Se has less poisonous and better tissue retention as well as bioavailability compared to inorganic Se. Cardamine violifolia is a newly discovered Se-enriched plant rich in MeSeCys and SeCys and has a strong antioxidant capacity. This study aimed to investigate the effects of Cardamine violifolia on plasma biochemical indices, antioxidant levels, intestinal morphology, and meat quality of broilers under acute LPS-induced oxidative stress by comparing it with inorganic Se (sodium selenite). The results showed that Cardamine violifolia alleviated tissue injury, enhanced antioxidant capacity, and improved meat quality of breast and thigh muscle after LPS stress. Abstract Cardamine violifolia is a newly discovered selenium (Se)-enriched plant rich in MeSeCys and SeCys and has a strong antioxidant capacity. This study aimed to investigate the effects of Cardamine violifolia on plasma biochemical indices, antioxidant levels, intestinal morphology, and meat quality of broilers under acute LPS-induced oxidative stress by comparing it with inorganic Se (sodaium selenite). A total of 240 one-day-old Ross 308 broilers were fed a basal diet and divided into four groups: (1) SeNa-SS, fed a diet supplied with 0.3 mg/kg Se from sodium selenite, and injected with 0.9% sterile saline, (2) SeCv-SS, fed a diet supplied with 0.3 mg/kg Se from Cardamine violifolia, and injected with 0.9% sterile saline, (3) SeNa-LPS, fed a diet supplied with 0.3 mg/kg Se from sodium selenite, and injected with 0.5 mg/kg LPS, (4) SeCv-LPS, fed a diet supplied with 0.3 mg/kg Se from Cardamine violifolia and injected with 0.5 mg/kg LPS. The experiment lasted for 42 days. Sterile saline or LPS was injected intraperitoneally two hours before slaughter, and blood and tissue samples were collected for testing. The results showed that compared with SeNa, SeCv significantly reduced the plasma levels of aspartate aminotransferase, alanine aminotransferase, and urea nitrogen after LPS challenge (p < 0.05), and increased the plasma levels of total antioxidant capacity and glutathione peroxidase, decreased malondialdehyde content in LPS-challenged broilers (p < 0.05). In addition, compared with SeNa, SeCv supplementation increased villus height and the ratio of villus height to crypt depth of jejunum and ileum after LPS challenge (p < 0.05). Additionally, SeCv could increase the redness of breast and thigh muscle, and decrease drip loss, cooking loss, and shear force (p < 0.05). In conclusion, our results indicated that supplementing with 0.3 mg/kg Se from Cardamine violifolia alleviated tissue injury after LPS challenge, increased antioxidant capacity, and improved meat quality of breast and thigh muscle after stress.
Density-based rough set model for hesitant node clustering in overlapping community detection

Overlapping community detection in a network is a challenging issue which attracts lots of attention in recent years.A notion of hesitant node(HN) is proposed. An HN contacts with multiple communities while the communications are not strong or even accidental, thus the HN holds an implicit community structure.However, HNs are not rare in the real world network. It is important to identify them because they can be efficient hubs which form the overlapping portions of communities or simple attached nodes to some communities. Current approaches have difficulties in identifying and clustering HNs. A density-based rough set model(DBRSM) is proposed by combining the virtue of densitybased algorithms and rough set models. It incorporates the macro perspective of the community structure of the whole network and the micro perspective of the local information held by HNs, which would facilitate the further "growth" of HNs in community. We offer a theoretical support for this model from the point of strength of the trust path. The experiments on the real-world and synthetic datasets show the practical significance of analyzing and clustering the HNs based on DBRSM. Besides, the clustering based on DBRSM promotes the modularity optimization.
Effectiveness of upper limb endurance and resistance exercises on reducing dyspnoea and improving activities of daily living (ADL) in patients with COPD

Introduction and Aim: Chronic Obstructive Pulmonary Disease (COPD) is preventable and treatable disease, presenting permanent airflow limitation accompanying an augmented chronic inflammatory response in the airway and the lungs to harmful elements or gases. Chronic bronchitis and emphysema are the two most common conditions that contribute to COPD, individuals with COPD often experience difficulty with performing upper limb exercise due to dyspnoea and arm fatigue. Consequently, upper limb exercise training is habitually included in lung rehabilitation programmes to advance upper limb exercise tolerance; yet the effects of this exercise on dyspnoea and activities of daily living remain unclear. The aim of this analysis is to determine the effects of upper limb endurance and resistance exercises on reducing dyspnoea and improving activities of daily living (ADL) in patients with COPD. Methodology: This is an experimental study design and was conducted in a clinical set-up of Physiotherapy Department with a total number of 10 samples selected based on the Inclusion and Exclusion criteria. All the participants underwent endurance and resistance exercises to the upper limb for 20 Minutes session for 3 days per week for 4weeks. Pre- and post-treatment assessments were done using the outcome measures Modified Borg Scale and London Chest Activity of Daily Living Scale. Results: The findings of the study revealed improved clinical outcomes in the study group. Calculation of mean and median values and then performing a paired t test of within group between pre-test and post-test values, it shows highly significant difference with a p value of p < 0.001. Conclusion: This study shows that there is a significant improvement in the COPD patients after the treatment implying that Upper Limb Endurance and Resistance Exercises were beneficial in improving ADL and reducing dyspnoea in COPD patients. Future research suggests recommendation of early COPD treatment in both genders.
Toxic plants in grasslands in the Netherlands

The plants mentioned in this review are based on a spreadsheet with meadow plants, biological actions and health effects composed by Davide Angelucci in 2020, and some additions from literature. Literature was searched for the mentioned plants on negative effects on production and health in cattle via Pubmed and Scopus and handbooks on veterinary phytotherapy (Wynn and Fougere, 2007; Brendick-Worm and Melzig, 2020). Plant databases used for biological activities and constituents were Liber Herbarum II from Erik Gotfredsen and Dukes Phytochemical and Ethnobotanical databases, and the CliniPharm CliniTox database. Search terms were cattle, toxicity, toxic effects, alkaloids and the botanical name of the plant. Negative effects include loss of production, gastrointestinal effects, effects on kidneys or liver, skin, reproduction and neurological effects. toxic plants biodiverse herbal need monitoring. Cases of intoxication of by meadow are but peat may a risk. Longer dry periods cause a lack of whereas which have deeper root systems be available. In case of toxic Jacobea remaining, may intoxications. may a risk,
Classification of lower limb rehabilitation exercises with multiple and individual inertial measurement units

Straight leg raise rehabilitation exercises (for both lying and seated position) for lower limb injuries play a critical role in terms of stress on joints after the injury. The primary objective of the paper is to find how accurately and efficiently a single and a two IMU sensor-based system could classify SSLR (Seated straight leg raise) and LSLR (Lying straight leg raise) exercises using machine learning. Inertial Measurement Units (IMUs) that include accelerometer and gyroscope were calibrated and tested, individual and combined, for classified seating as well as lying exercise and for different demanded personalities. Individual IMUs achieved about 96 % accuracy in binary classification. However, the combined (two) IMUs achieved about 96.8 % accuracy. The merits of the proposed IMU based sensor system are that it is easy to install, cost effective and very useful for telemedical operations in pandemic situations like COVID19. On the basis of these results, it could be concluded that the accuracy of a single IMU sensor system and a two IMU sensor-based system is approximately 96% and both were efficiently able to classify SSLR and LSLR exercises as well as identify the individual performing the exercise.
Synchronization Stability of Grid-Connected VSC With Limits of PLL

Limits of phase locked loop (PLL) are necessary to make sure the transient converter frequency bounded in a safety range. This leads to the grid-connected voltage source converter (VSC) with limits of PLL as one switched system. Stability of switched dynamic system is fully discussed in this paper. One conservative analytical stable region of the unbounded autonomous system is derived by Lyapunov method. It is proved that when bounds are touched, any trajectory of the studied switched system deviates from these bounds at two fixed switching Points. Moreover, the switched system energy is non-increasing when trajectories lie inside the derived analytical stable region. Based on these properties of switched system, it is proved that to ensure the globally asymptotically stability, the fixed switching Points should be placed inside the derived stable region of the unbounded autonomous system. Finally, stabilization method is proposed via placement of the fixed switching Points so that the globally asymptotically stability is ensured.
A System Architecture of a Fusion System for Multiple LiDARs Image Processing

LiDAR sensors are extensively used in autonomous vehicles and their optimal use is a critical concern. In this paper, we propose an embedded software architecture for multiple LiDAR sensors, i.e., a fusion system that acts as an embedded system for processing data from multiple LiDAR sensors. The fusion system software comprises multiple clients and a single server. The client and server are connected through inter-process communication. Multiple clients create processes to process the data from each LiDAR sensor via a multiprocessing method. Our approach involves a scheduling method for efficient multiprocessing. The server uses multithreading to optimize the internal functions. For internal communication within the fusion system, multiple clients and a single server are connected using the socket method. In sequential processing, the response time increases in proportion to the number of connected LiDAR sensors. By contrast, in the proposed software architecture, the response time decreases in inverse proportion to the number of LiDAR sensors. As LiDAR sensors become increasingly popular in the field of autonomous driving, the results of this study can be expected to make a substantial contribution to technology development in this domain.
O ensino de história dos traumas sociais coletivos e dos temas socialmente vivos: trajetórias de um campo disciplinar

O ensino de história de traumas coletivos e das questões socialmente vivas disseminou-se na historiografia a partir da década de 1960. Contribuíram para isso a difusão de pesquisas realizadas na Alemanha e França sobre a experiência nacional-socialista e a historicização do Holocausto, cujo evento foi enquadrado no interior do campo de estudos dos genocídios. Na França e no Brasil, as reflexões sobre este tema almejaram a necessária compreensão dos traumas coletivos e os seus impactos sociais. Em nossa análise, as reflexões sobre estes conceitos são necessárias em razão da banalização do debate sobre os fascismos históricos e outros traumas coletivos em nosso tempo presente. As preocupações decorrentes deste cenário, desafiador aos historiadores e ao processo de ensino-aprendizagem na sala de aula, nos motivaram a apresentar as reflexões realizadas neste artigo, que apresentou algumas perspectivas sobre o ensino de história dos traumas sociais coletivos e dos temas socialmente vivos.
On the waiting time till some patterns occur in i.i.d. sequences

In this paper we present some general solution of the system of linear equations formed by Guibas and Odlyzko in Th.3. 3 [2]. We derive probabilities for given patterns to be first to appear in random text and the expected waiting time till one of them is observed and also till one of them occurs given it is known which pattern appears first.
A 4.96-μW 15-bit Self-Timed Dynamic-Amplifier-Based Incremental Zoom ADC

A 15-bit self-timed incremental analog-to-digital converter (ADC) for event-driven applications is presented. It is based on an asynchronous zoom ADC structure and a fully differential self-timed dynamic-amplifier (DA)-based integrator. Dynamic element matching (DEM) and chopping techniques mitigate the mismatch and noise. Measurements show that the ADC without oversampled clock achieves 93-dB SNR in a conversion time of 0.37 ms while consuming only 4.96-<inline-formula> <tex-math notation="LaTeX">$\mu \text{A}$ </tex-math></inline-formula> current from a 1-V supply. This corresponds to a Schreier FoM of 177.3 dB. The 0.23-mm2 chip was fabricated in a standard 55-nm CMOS process.
Photon Antibunching, Sub-Poisson Statistics and Cauchy-Bunyakovsky and Bell's Inequalities

We discuss some mathematical aspects of photon antibunching and sub-Poisson photon statistics. It is known that Bell's inequalities for entangled states can be reduced to the Cauchy-Bunyakovsky inequalities. In this note some rigorous results on impossibility of classical hidden variables representations of certain quantum correlation functions are proved which are also based on the Cauchy-Bunyakovsky inequalities. The difference K between the variance and the mean as a measure of non-classicality of a state is discussed. For the classical case K is nonnegative while for the n-particle state it is negative and moreover it equals -n. The non-classicality of quantum states discussed here for the sub-Poisson statistics is different from another non-classicality called entanglement though both can be traced to the violation of the Cauchy-Bunyakovsky inequality.
Picard-Fuchs equations of families of QM abelian surfaces

We describe an algorithm for computing the Picard-Fuchs equation for a family of twists of a fixed elliptic surface. We then apply this algorithm to obtain the equation for several examples, which are coming from families of Kummer surfaces over Shimura curves, as studied in our previous work. We use this to find correspondenced between the parameter spaces of our families and Shimura curves. These correspondences can sometimes be proved rigorously.
Effects of Organic Amendments on Phenol Oxidase, Peroxidase, Urease, and Nitrogen Mineralization: A Laboratory Incubation Study

Mitigating climate change and enhancing fertility in agricultural systems require the adoption of more sustainable fertilizer management practices. Applications of recycled organic materials, such as animal and green wastes, can promote soil carbon stabilization via changing extracellular enzyme activities while providing the necessary nitrogen (N) for plant growth. The goals of this study were to quantify the effects of compost type (cow manure, green manures, mixtures of green and cow manure at various proportions, and inorganic fertilizers) on (1) enzyme activity (phenol oxidase, peroxidase, and urease), and (2) mineralized N under laboratory incubation at 30 °C over an eight-week period. The lowest oxidative enzyme activities (phenol oxidase and peroxidase) were found in the soil treated with a mixture of 50% cow manure and 50% green manure (2.45 μmol h−1 g−1) and a mixture of 30% cow manure and 70% green manure (3.21 μmol h−1 g−1) compared to all other fertilizer treatments. The highest phenol oxidase activity was found in soils amended with green manures (3.52 μmol h−1 g−1), while the highest peroxidase activity was found in soils amended with a mixture of 70% cow manure and 30% green manure (5.68 μmol h−1 g−1). No significant differences were found in total net mineralized N content among all organic fertilizer treatments, but these were significantly lower than total net mineralized N in soil treated with inorganic fertilizers. These results indicate similar effects of organic amendments and mixtures in providing plant-available N, but different effects on lignin-degrading enzyme activities, which may lead to differences in soil organic carbon cycling and long-term C storage depending on which organic amendment is utilized.
Mobile learning-technology barriers in school education: teachers’ views

ABSTRACT Despite the significant growth and capabilities of mobile technologies, there is limited empirical evidence on teachers’ perceived mobile technology-learning barriers. This study investigated Greek teachers’ perceptions of barriers to using mobile technology in school classrooms. A 28-item questionnaire was administered to 557 teachers and six barrier-factors were extracted: ‘lack of resources’, ‘lack of support’, ‘lack of time’, ‘lack of teacher confidence’, ‘class conditions’ and ‘concerns about students’. The questionnaire was a valid and reliable tool for the investigation of various dimensions of teachers’ perceived barriers. Gender, school level, age and ICT training had significant but small effects on specific barrier-factors. The order of importance of barrier-factors was similar for users and non-users (‘lack of resources’, ‘support’ and ‘class conditions’) independently of the type of mobile device used in class. ‘Concerns about students’ was identified as a major barrier only by non-users. Implications for educational policy and professional training are discussed.
Auditing Google's Search Headlines as a Potential Gateway to Misleading Content

The prevalence and spread of online misinformation during the 2020 US presidential election served to perpetuate a false belief in widespread election fraud. Though much research has focused on how social media platforms connected people to election-related rumors and conspiracy theories, less is known about the search engine pathways that linked users to news content with the potential to undermine trust in elections. In this paper, we present novel data related to the content of political headlines during the 2020 US election period. We scraped over 800,000 headlines from Google's search engine results pages (SERP) in response to 20 election-related keywords—10 general (e.g., "Ballots") and 10 conspiratorial (e.g., "Voter fraud")—when searched from 20 cities across 16 states. We present results from qualitative coding of 5,600 headlines focused on the prevalence of delegitimizing information. Our results reveal that videos (as compared to stories, search results, and advertisements) are the most problematic in terms of exposing users to delegitimizing headlines. We also illustrate how headline content varies when searching from a swing state, adopting a conspiratorial search keyword, or reading from media domains with higher political bias. We conclude with policy recommendations on data transparency that allow researchers to continue to monitor search engines during elections.
LETTER TO THE EDITOR: Spectral fluctuation characterization of random matrix ensembles through wavelets

A recently developed wavelet based approach is employed to characterize the scaling behaviour of spectral fluctuations of random matrix ensembles, as well as complex atomic systems. Our study clearly reveals anti-persistent behaviour and supports the Fourier power spectral analysis. It also finds evidence for multi-fractal nature in the atomic spectra. The multi-resolution and localization nature of the discrete wavelets ideally characterizes the fluctuations in these time series, some of which are not stationary.