Reviewerly/exHarmony huggingface dataset:
Local Law Enforcement Variables as Moderating Effect on the Behavior of Foreign Motorcycle Riders in Tourism Areas in Bali

Foreign motorcyclists are prone to greater risks than the locals in most countries worldwide [1].Risk parameters identified include lack of knowledge of traffic regulations, inadequate driving skills, different seasons, and general attitudes towards traffic safety reflected in driving behavior [2].Along with tourism development, the number of foreign motorcyclists also increases.Therefore, safety measures are essential [3].In this research, by using data collected from 71 foreign motorcyclists as respondents, we study the influence of local road and traffic conditions, human factors, and local law enforcement on the behavior of foreign motorcyclists around tourist areas in Bali.The method used is Structural Equation Modeling (SEM).The expected contribution is a model that finds how local law enforcement affects foreign motorcyclists' behavior around tourist areas in Bali, which can significantly reduce the risk of accidents for foreigners.The results are that local law enforcement can act as a moderating effect of human factors on the behavior of foreign motorcyclists with a P-value of 0.008.Foreign motorcyclists' behavior in tourist areas is also directly affected by their behavior in their origin country, with a P-value of 0.035.But local law enforcement cannot act as a moderating effect of local road and traffic conditions on the behavior of foreign motorcyclists with a P-value of 0.441.The research concluded that foreign motorcyclists' behavior in Bali tourist areas is positively influenced by the local law enforcement by authorized officials.It shows that the more stringent enforcement of the law, the better the behavior of foreign motorcyclists.And better conduct of foreign motorcyclists can reduce the number of accidents involving foreigners in the tourist areas in Bali.
UAV manipulation by hand gesture recognition

In this study, we discuss a unmanned aerial vehicle operation system by recognizing human gestures. Here, we focus on both dynamic and static gestures, such as moving the right hand repeatedly or holding it in a certain position. And, we propose two methods, one is a feature-based (FB) method to detect the position of the right hand in an image and identify the gesture form features estimated by FFT, and the other is a machine learning (ML) method to detect the position of the right hand in an image and identify the gesture by the framework of the ML. In experiments, we compare the results of gesture recognition by each method. As a result, the recognition rate of the FB method is higher than that of the ML method under the conditions assumed in the FB method. But, in other cases, the ML method is higher than that of the FB method. The ML method is also effective in terms of extensibility, such as adding more types of gestures.
Financial Crisis Prediction based on Genetic Algorithm and LS-SVM

With the development of financial management and strategic enterprise management, enterprise operators and investors pay more attention to the crisis and risks of financial prediction. When using a genetic algorithm and support vector machine to predict the financial crisis, the standard genetic algorithm has certain limitations in dealing with the global optimization problem. It is easy to optimal local problems while ignoring the optimal global solution. This paper proposes a genetic algorithm-based LS-SVM, which is expected to obtain training samples of different types of layers by classifying risk and performing a linear transformation on them. Then the Rough Theory Set is used to classify the support vector and finally carry out the financial crisis prediction of the enterprise.
An Ansatz for computational undecidability in RNA automata

In this ansatz we consider theoretical constructions of RNA polymers into automata, a form of computational structure. The bases for transitions in our automata are plausible RNA enzymes that may perform ligation or cleavage. Limited to these operations, we construct RNA automata of increasing complexity; from the Finite Automaton (RNA-FA) to the Turing machine equivalent 2-stack PDA (RNA-2PDA) and the universal RNA-UPDA. For each automaton we show how the enzymatic reactions match the logical operations of the RNA automaton. A critical theme of the ansatz is the self-reference in RNA automata configurations that exploits the program-data duality but results in computational undecidability. We describe how computational undecidability is exemplified in the self-referential Liar paradox that places a boundary on a logical system, and by construction, any RNA automata. We argue that an expansion of the evolutionary space for RNA-2PDA automata can be interpreted as a hierarchical resolution of computational undecidability by a meta-system (akin to Turing's oracle), in a continual process analogous to Turing's ordinal logics and Post's extensible recursively generated logics. On this basis, we put forward the hypothesis that the resolution of undecidable configurations in RNA automata represent a novelty generation mechanism and propose avenues for future investigation of biological automata.
Study the Impact of Cramming in Medical Students

Aim: To reveal pre- exam cramming among pre-clinical medical students, what drives this practice, failure due to cramming and the problems and difficulties related to the act of cramming.&#x0D; Discussion: Cramming is common practice among struggling medical students. The prevalence of cramming is like an iceberg phenomenon. The act of stacking too many information just the night before an exam probably authorize the perpetrator to remember some information in the short term period and enable them to take in enough information for the exam. Along with this practice also comes sleep deprivation, mental and emotional disturbances and even substance abuse in order to achieve good marks and passing the exam. Unfortunately for some experts, cramming is not considered as learning. Procrastination and some other reason are believed to be the reason the culprit commits cramming.&#x0D; Conclusion: Cramming not only changes the behavior of the perpetrator, but also has an impact on his family, classmates, environment and future.
Local double directional stride maximum patterns for facial expression retrieval

Face recognition and expression recognition are playing vital roles in various applications such as medical field, entertainment, criminal analysis, social media, online business, etc. Local texture feature descriptors such as LBP, LTrP, LTP, and DBC are usually popular to recognise the faces and expressions as well. In this paper, a new feature descriptor local double directional stride maximum pattern approach is proposed as existing methods are suffering from intensity differences and covering of diagonal information. The proposed approach will identify the facial expression based on the directional coordination of pixels, the pattern will be generated by calculating the first order derivatives in four directions using DBC, and then second order derivatives are calculated maximum and minimum intensity values in four directions among three pixels in every direction to construct the feature. This approach reaches to recognise the major intensity differences by using the directions and pleats the accurate data from an image. Facial expression recognition and retrieval performance is measured and compared in stand of precision, recall and ARR on the benchmark datasets such as JAFFE, CK+, ISED, RaFD, etc. with the existing methods.
Security Study of RO-TRNG under Fault Disturbance Scenarios

As a fundamental core element for the security of various encryption algorithms and protocols, high-quality true random numbers as keys have a pivotal impact on the implementation of unpredictable key properties and the implementation of basic security means such as nonlinear diffusion and obfuscation. In order to ensure the quality of generated random numbers, the entropy source of TRNG is mostly implemented based on random physical processes in the environment, which also makes TRNG vulnerable to environmental changes, thus reducing the quality of generated random numbers and eventually leading to a decrease in the security of the whole cryptosystem. In this paper, we investigate the security of the TRNG in the presence of fault disturbance by combining a bias-capture-based security metric with the currently widely used oscillating ring-type random number generator. The experiments show that the improved metric can better characterize the fault perturbation scenario with fewer sampling samples, and the experimental results provide a reference for the security evaluation of oscillatory sampling-based TRNG.
PRAKTIK TATAMBA BANYU OLEH GURU SYAIROZI DI KABUPATEN BANJAR (SEBUAH ANALISIS SUFISTIK)

The practice of batatamba is one of the cultural heritages of urang Banjar in South Kalimantan which they still done by some local people to get healthy, both physically and spiritually. This is because since ancient times, physical and spiritual health is something very valuable and very expensive because it has immeasurable value for the perfection of one's life and life. For example, in Antasan Senor Village, Martapura, Banjar Regency there is Tuan Guru Syairozi. To Guru Syairozi, every day many people line up asking for help for various diseases, especially chronic diseases that are difficult to cure, or diseases that are considered as the actions of others, a type of witchcraft. The focus of this research is to determine the batatamba banyu procession by Guru Syairozi and the sufistic dimension of the batatamba banyu practice. The object of his research was the house of Guru Syairozi, Antasan Senor Village, Banjar Regency, Martapura, South Kalimantan Province, using interviews, observation and documentaries. The finding of this research is that the batatamba banyu practice was originally practiced by Guru Syairozi's father himself (KH. Marhasani). Then in 1998, his father passed away to the grace of Allah (died). After forty days after the death of his father, the batatamba banyu practice was continued by him. Until now, Guru Syairozi has been practicing this batatamba banyu practice for about twenty-three years. Healing Guru Syairozi uses the Sufi healing method which views al-maqâmât in Sufism as a basic concept for healing various diseases, especially mental and can also be used as a source of healing for physical ailments. The concept of al-maqâmât which he used to advise the people being treated were repentance, patience, tawakkal, qana'ah, wara ', zuhud and pleasure.
Determinants of Financial Instability in Selected &amp;lt;i&amp;gt;East and Southern African&amp;lt;/i&amp;gt; Countries

These studies intend to identify the major determinants of financial instability in the East and Southern African Countries from 2010 to 2019.The issue of financial instability has, for long, been the major concern of policy makers, but still, there have been on-going debates and extensive discussions on measuring the financial instability.Several studies show that limits on LTV and DTI ratios can curb the feedback loop between mortgage credit availability and house price appreciation.Nevertheless, there is to date only every limited analysis of any macroeconomic effects and the use of macroprudential tools and no macro prudential instruments in East and Southern African Countries in general.Study used Credit growth and PCA analysis of financial stability index and system GMM model to identify financial instability in contemporary inclusive financial economy.FII constructed based on PCA of different variables like bank Z-Score and net interest margin in the first scenarios and using composite index of Credit growth, banking Score and net interest margin in the second scenarios.Result of the study reveals FII affected by Money supply, debt growth, inflation rate and economic growth etc.In spite of the credible theoretical arguments, using the system GMM method study found that FII negatively affected by Money supplies, debt growth, inflation rate, volatility of economic growth in 14 East and Southern African Countries included in the study between 2010 and 2019.Therefore, building integrated, coordinated and potentially consistent macro prudential policies was required to avoid negative spillovers that could counteract the financial instability.Furthermore, to constrain funding or liquidity risks, liquidity-related instruments like limits on net open currency positions, currency mismatches and reserve requirements are an asset.
The Application of Newmark’s Text Typology Theory in Medical Translation

In recent years, with the rapid development of economic globalization proceeding, the medical exchanges among international countries have increasingly deepened, which further makes the significance of medical translation become more and more prominent.In this paper, a detailed introduction to Newmark's Text Typology Theory and informative text was made.Then, from the perspective of Newmark's Text Typology Theory, analyses were conducted on the lexical and syntactic features of medical text as an informational text and related translation methods were applied to medical translation.With the application of this theory, it was concluded that the practicality and specialty of medical translation were greatly improved, further providing some valuable references for the follow-up medical translation and enabling medicine to better serve the development of the medical field and benefit human health welfare.
The subcategorization of English adverbs: A feature-based clustering approach

The category of the adverb in the English language is notoriously heterogeneous, and Crystal (1995: 211) even considers it a “dustbin category” which combines such disparate members as the manner adverb happily, the intensifier very, the comparative more and the postmodifier indeed. In order to determine the most appropriate subclassification of the category of the adverb in English, the present contribution presents original research based on a dataset of the 2500 most frequent words in the British National Corpus (Sanchez 2008). The 206 adverbs in this high-frequency sample were coded with regard to their decomposability into semantic components, word-family integration, language of origin, age, underlying word formation process , suffix type used and semantic class. Using a tree plot, we first investigated whether the adverbs in our dataset are more similar to the lexical or the grammatical parts of speech, but with no conclusive evidence. We then used a recent clustering approach (consensus clustering; cf. Chiu 2018) and an innovative visualization in the form of an adaptation of parallel coordinate plots for multivariate categorical data to determine whether cluster analyses can be used to automatically subcategorize words assigned to the traditional category of the adverb into meaningful subcategories. We did indeed find a linguistically meaningful categorization into three clusters that are distinguished with regard to the word formation type characteristic of the group members, namely simplex adverbs (e.g. next), -ly suffixations (e.g. regularly) and other complex word formations (e.g. meanwhile). Our results indicate that the presence or absence of an adjectival base is a much better criterion for the subcategorization of English adverbs than the property of permitting inflection.
Expanding the Quantum Photonic Toolbox with Low-Loss AlGaAs-on-Insulator

We present the building blocks for a programmable quantum processor with AlGaAs-on-insulator integrated photonics, including low-loss waveguide crossers and &gt; 30 dB extinction tunable interferometers, which we benchmark via photonic qubit demultiplexing with high extinction.
New web domains available for philanthropic sector

Public Interest Registry, the nonprofit organization that administers the .org domain, has announced an expansion of domains available for philanthropic organizations. Depending on the nature and focus of the organization, they now can choose from top‐level domains such as .charity, .foundation, and .gives.
Launch a Mini Events Program

Special Events GaloreVolume 22, Issue 9 p. 5-5 Involve Your Community in Fundraising Launch a Mini Events Program First published: 08 August 2022 https://doi.org/10.1002/speg.31838Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume22, Issue9September 2022Pages 5-5 RelatedInformation
Students' perceptions toward a smart equation exam system for students with and without handwriting difficulties

This study suggests a digital assessment tool - Smart Equation Exam System (SEED) - as a substitute for traditional multiple-choice and paper and pen exams. SEED includes a question bank, an answer platform, mathematical equations, and physics formulae. The novelty of SEED is that it allows all students with or without physical disabilities via creation of an equal and non-discriminatory platform to solve the physics questions step by step and submit all the solution steps as well as the final answer. The study population was composed of students enrolled in the General Physics (II) course at university level. The sample consisted of fifty students who were selected randomly. The results showed that more than eighty presents of the participants had a positive perception of SEED compared to traditional exams, and they found it more flexible in reviewing solution steps, and getting feedback, especially for the student with handwriting disabilities. &#x0D; &#x0D; Keywords: Assistive technology; computer software; disabilities education; physics education; digital assessment
Deploying Grafana Locally

Grafana is intentionally built to be both self-contained and portable. This means that it runs with few external dependencies (additional libraries or software packages that are not already part of most operating systems) and that it can run on a wide variety of hardware and operating system platforms. This is great news if you’re looking to run Grafana on your own, as this means that you don’t need to buy special hardware or install a specific version of an operating system that you might not be familiar with. Grafana can run on your laptop just as happily as it will run in a large cloud environment. In this chapter we’ll see how to deploy Grafana in many common environments.
Working with Panels

Grafana is built to be extensible, meaning that a wide variety of plugins exist to control how data is managed and visualized. You can even create your own plugins if you have needs that aren’t met by what’s available already. But that doesn’t mean that it isn’t useful without lots of extra effort! Grafana ships with a number of powerful visualizations natively, as well as functionality to let you run ad hoc queries to find the data you’re looking for. In this chapter, we’ll take a look at the options available for controlling how data is displayed, some of the built-in visualizationsPanelsbuilt-in visualizations available in Grafana, and how to find plugins to extend this functionality.
Internet Financial Crimes in China

The Internet is a double-edged sword. With the advent of the information age, Internet brings not only convenience to human’s living and production, but also a series of negative effects. Internet financial crime is becoming increasingly serious. This paper mainly analyzes the problems and relevant countermeasures of Internet financial crime. Firstly, it introduces current situations of Internet financial crime; secondly, it analyzes the reasons; lastly, it puts forward the effective countermeasures. The Internet financial industry is not yet mature in China; thus, the supporting supervision system needs to be improved.
Supplemental Material: Rhyolitic melt production in the midst of a continental arc flare-up—The heterogeneous Caspana ignimbrite of the Altiplano-Puna volcanic complex of the Central Andes

&lt;p&gt;Full dataset and model parameters. &lt;/p&gt;
Research on real-time object detection based on Yolo algorithm

Carrying controlled knives and guns and ammunition in public places is a serious threat to public safety, and the target proportion of images in monitoring is small, and the recognition background is complex. The existing monitoring methods in public places have problems that can not be well recognized automatically. Therefore, the YOLOV5 model is proposed to be applied in Intelligent Security to improve public safety. Focusing on the target detection of contraband in public under the application scenario of Intelligent Security, the characteristics and requirements of the detection task are analyzed, and the viewpoint of applying YOLOV5 algorithm to real-time detection of contraband is put forward. The history and basic principles of YOLO series algorithms and target detection are summarized. YOLOV5 performance test was carried out systematically to verify the feasibility of the method. Then, the detection dataset is made, format conversion and labeling are carried out, and the training data is expanded, and the related detection experiments are carried out on the computer. The results show that the contraband detection method based on YOLOV5 has great potential in practical application.
Teleporting Qubits Between Participants by Third-Party Center

As many applied and theoretical challenges still face quantum computing in general and quantum cryptography in particular. The teleportation of qubits from one participant to another has been attracting most of the recent focus in this field. Quantum key distribution is a method as in the classical system that provides secret keys to secure communication channels between legitimate participants through various mechanisms. In this paper, a quantum key exchange protocol is designed to transfer qubits from a trusted third party to both communicators. The Third-Party Center (TPC) initiates secure exchanges between the sender (Alice) and the receiver (Bob). Only legitimate parties share indexes with TPC, where the TPC cannot forge the communication parameters. These parameters include photons applied under an EPR Paradox environment. Therefore, the legitimate parties can share data securely by using a third-party without many restrictions.
Supplemental Material: Don’t judge an orogen by its cover: Kinematics of the Appalachian décollement from seismic anisotropy

&lt;p&gt;Digitized structural attitudes from the Greenville 1x2° quadrangle (Nelson et al., 1998) and accompanying stereonets, CCP stacks and accompanying A1 trace profiles from SESAME D-W-lines, as well as a table of receiver function A1 arrivals with accompanying worked example and waveform plots. &lt;/p&gt;
Pewarnaan Titik Ketakteraturan Lokal pada Keluarga Graf Unicyclic

In this research is a development of local irregularity vertex coloring of graph. The based on definition, as follows: \textbf{$l:V(G) \longrightarrow {\{1, 2, ..., k}\}$} is called vertex irregular k-labelling and \textbf{$w:V(G) \longrightarrow N$} where \textbf{$w(u) = \varSigma_{ v \in N(u)}l(v)$}, $w$ is called local irregularity vertex coloring. A condition for $w$ to be a local irregularity vertex coloring, If \textit{opt$(l)$ = min\{maks$(li); li$, vertex labelling function}, and for every \textbf{$u,v\in E(G),w(u)\ne w(v)$}. The chromatic number local irregularity vertex coloring is denoted by $\chi_{lis}(G)$. In this paper, the researchers will discuss of local irregularity vertex coloring of related unicyclic graphs and we have found the exact value of their chromatic number local irregularity, namely cricket graph, net graph, tadpole graph, \textit{peach} graph, and bull graph.