Miracle-dz/UniFAR-FTUs huggingface dataset:
DETR for Combined Object Detection and Notation Assembly in Optical Music Recognition

—Optical Music Recognition is traditionally comprised of several steps in a pipeline that together decipher the contents of sheet music. These tasks include image preprocessing, object detection, notation assembly, and encoding. Deep learning has recently made its appearance within the ﬁeld, simplifying the pipeline and combining tasks that were previously separate. However, most deep learning approaches still treat object detection and notation assembly as two disjoint tasks. R-CNN based models, which are state-of-the-art object detectors within general object detection, have been utilised to detect music objects and show promising results. Meanwhile, it has recently been shown that transformers can perform on par with R-CNN models in general object detection while serving as a more simple, end-to-end solution. Transformers inherently model relations between objects through their attention mechanism, making them suitable for notation assembly due to music notation’s rich contextual nature. In this paper, we study how to utilise attention in transformers to detect handwritten music objects in common western music notation while simultaneously predicting object relationships. We thereby propose an end-to-end model which handles both object detection and notation assembly holistically.
Relationship between suicidal behavior/self-mutilation and vitamin B12 and folic acid levels in adult attention deficit hyperactivity disorder

Aim: Attention deficit hyperactivity disorder (ADHD) and suicidal behavior are common situations that cause social and emotional problems. deficiencies of folate and vitamin B12 have been related to suicidal behavior and the etiology of ADHD. We aimed to evaluate the association between suicide/self-mutilation behaviors and Vitamin B12 and folic acid levels in adult ADHD. Materials and Methods: Adult ADHD patients were evaluated in terms of sociodemo-graphic characteristics and suicidal behavior/self-mutilation, suicide ideation, impulsivity, and functionality with clinical interviews and scales. Comorbid psychiatric diagnoses were excluded. Levels of vitamin B12 and folate were detected. All results were compared to healthy controls statistically. Then ADHD patients were divided into two groups with and without suicidal behavior/self-mutilation and compared clinically. Results: There were 40 ADHD patients and 40 healthy controls in the study. Suicidal behavior/self-mutilation, suicide ideation and impulsivity scores and psychiatric diagnosis history of first-degree relatives were higher in the patient group. Levels of Vitamin B12 and folic acid were similar in both groups and not correlated with suicidal behavior/self-mutilation and suicidal ideation. Conclusion: There was a significant association between adult ADHD and suicidal behavior/self-mutilation. Suicide-related consequences were particularly related to impulsivity. It may be recommended to screen individuals with ADHD for suicidal ideation and impulsivity to reduce risky behaviors. However, it does not support the hypothesis of a relationship between low B12 and folate and suicidality in adult ADHD.
BAYESIAN GRAVITY MODEL FOR DIGITALIZATION ON BILATERAL TRADE INTEGRATION IN ASIA

The impact of globalization in terms of bilateral trade is a renowned theoretical underpinning in the literature. Nevertheless, testing a trade integration model of bilateral trade is not sufficiently well estimated with the Bayesian approach to provide pragmatic evidence of trade integration from the digitalization in Asia. Moreover, in identifying the factors determining trade integration, testing for digitization using the Bayesian gravity equation is vital. After performing a series of simulation experiments, a relationship between import volume and simulated trade determinants was predicted for the digitalized trade model. The results of the estimated coefficients on GDP in the country of origin and GDP of the country of destination are positively significant predictors of the import growth. The distance between the countries has a negatively significant estimation that implies barriers in trade. The model predicts trade integration, especially towards the trade digitalization in Asia. The Bayesian approach of the gravity model gives robust estimates for determining the impact factor for the importation of trading countries, including the fact that the elasticities of total trade inflow with respect to distance, population, and area of the country of destination and the exchange rate of the country of origin are negative while the proxies of digitization are positively significant. Further, economic size, area, and exchange rate of the destination, and population and area of the country of origin are positively predicted by the model. The estimated parameters are directly the elasticities, in which increases in GDP in a reporter country is consistent with the higher import volumes. Further, evidence of the gravity equation is used for understanding trade potential, and after some integrations, the estimation is applied for the real trade. The measures of bilateral trade resistance or costs associated with the trade flow of the digitization has influenced the expanding of the digital indicators in the model in the Asian economies. Finally, digitalization of trade integration can be implemented across Asia with evidence and robust estimates of the gravity model, including robustness checking. The Bayesian experiment for the estimation of the impacts of the trade integration in Asia predicts an increase of GDP, digitalization proxies, population, exchange rate, and area of the destination as predominant predictors in the Bayesian gravity model. Thus, the results revealed that digitalization has affected the plausible trade agreements for trade integration in Asia.
This paper is included in the Proceedings of the 32nd USENIX Security Symposium.

Inventory matching is a standard mechanism for trading financial stocks by which buyers and sellers can be paired. In the financial world, banks often undertake the task of finding such matches between their clients. The related stocks can be traded without adversely impacting the market price for either client. If matches between clients are found, the bank can offer the trade at advantageous rates. If no match is found, the parties have to buy or sell the stock in the public market, which introduces additional costs. A problem with the process as it is presently conducted is that the involved parties must share their order to buy or sell a particular stock, along with the intended quantity (number of shares), to the bank. Clients worry that if this information were to “leak” somehow, then other market participants would become aware of their intentions and thus cause the price to move adversely against them before their transaction finalizes. We provide a solution that enables clients to match their orders efficiently with reduced market impact while maintaining privacy. In the case where there are no matches, no information is revealed. Our main cryptographic innovation is a two-round secure linear comparison protocol for computing the minimum between two quantities without preprocessing and with malicious security, which can be of independent interest. We report benchmarks of our Prime Match system, which runs in production and is adopted by a large bank in the US – J.P. Morgan. Prime Match is the first secure multiparty computation solution running live in the financial world.
Predicting Machine Behaviour from Google Cluster Workload Traces

Data centers today host a number of computational resources to support increasing demand for computation and storage. Understanding how these physical and virtual machines transition between diﬀerent states of operation (referred to as machine lifecycle) enables more eﬃcient job/task scheduling decisions to be carried out for user applications. Furthermore, it helps data center operators deﬁne policies on how new computational resources can be added or existing infrastructure decommissioned. Using Google cluster trace data set version3 collected from approximately 96k machines, we analyze machine failure and changes in machine lifecycle over time. We observed that there is a 13% chance of another machine failure under the same network switch within one minute of the previous machine failure. A Markov chain-based model is proposed, that can predict machine states at any given time. Using the model and estimated probabilities, we predicted machine state over a multi-day period with a high probability. Using predicted machine state, we reconstructed the active machines trend, comparing this with the trend reported in the data set – observing an error of 1.76%.
MusicOSet : An Enhanced Open Dataset for Music Data Mining

We present the MusicOSet , an open and enhanced dataset of musical elements (music, albums, and artists) suitable for music data mining. We describe the creation process and the data contents, along with usage examples and possible applications. The attractive features of MusicOSet include the enrichment of existing metadata and the popularity classiﬁcation of the musical elements present in the dataset.
The regulation of SIRT2 function by cyclin-dependent kinases affects cell

Ser-331 as the site phosphorylated by cyclin E – Cdk2, cyclin A – Cdk2, and p35 – Cdk5 both in vitro and in cells. Importantly, phosphorylation at Ser-331 inhibits the catalytic activity of SIRT2. Gain-and loss-of-function studies demonstrate that SIRT2 interfered with cell adhesion and cell migration. In postmitotic hippocampal neurons, neurite outgrowth and growth cone collapse are inhibited by SIRT2. The effects provoked by SIRT2, but not those of a nonphosphorylatable mutant, are antagonized by Cdk-dependent phosphorylation. Collectively, our ﬁ ndings identify a posttranslational mechanism that controls SIRT2 function
Anticipating learning in multi-step ahead predictions of learning-based control

: Although machine learning techniques are increasingly employed in control tasks, few methods exist to predict the behavior of closed-loop learning-based systems. In this paper, we introduce a method for computing conﬁdence regions for closed-loop system trajectories when a learning-based control law is employed. We employ Monte Carlo simulations and exploit system properties to prove that the conﬁdence regions are correct with high probability. In a numerical simulation, we show that the proposed approach accurately predicts the correct conﬁdence regions up to small outliers.
Intentions in Ecological Psychology: An Anscombean Proposal

According to ecological psychology, agency is a crucial feature of living organisms: therefore many ecological psychologists maintain that explaining agency is one of the core aims of the discipline. This paper aims to contribute to this goal by arguing that an ecological understanding of agency requires an account of intention. So far, intentions have not played a dominant role in ecological accounts of agency. The reluctance to integrate a notion of intention seems to be motivated by the wide-spread assumption that intentions should be understood as internal states with representational content. This assumption goes against two main tenets of ecological psychology: its anti-representationalist stance and its claim that perception is direct (in the sense of not being mediated by inferential processes). Ecological psychology thus needs a different answer to the question what intentions are. In this paper, we aim to show that Elizabeth Anscombe’s theory of intention can be fruitfully brought to bear on an ecological theory of agency. We will argue that Anscombe’s account can meet the two challenges of bringing intentions into the framework of ecological psychology: firstly it can explain what intentions are, if not representational states; and, secondly, it can show how our perception of affordances is guided by intention without undermining the idea of direct perception.
Historical Note: The H istory of Taxation is Writt en in Lett ers of Blood and Fire

Tax, war, democracy and rebellion intertwine down the ages. In this paper I introduce readers to the reasons why tax history is important and the concepts underpinning later articles. The four tax history articles that will be published in total over the next four issues (from September 2016 to June 2017) will look at history from the Magna Carta to Australia today through the prism of tax. A key theme is the role ordinary working people (peasants, artisans, workers for example) play in protests against oppressive taxes and how that anger can spark rebellions and revolutions. These rebellions and revolutions often have democracy as their main demand.
Municipal Solid Waste Management in Bangkok: The cases of the promotion of source reduction and source separation in Bangkok and in Roong Aroon School

Source reduction and source separation are important ingredients for sustainable municipal solid waste management. They facilitate waste reduction and valorisation. However, waste managers find that it is challenging task to promote source reduction and source separation. The situation is even more difficult in developing countries and lack of environmental awareness and lack of public cooperation are frequently mentioned as main barriers. This thesis takes a different angle to investigate the issue. It looks into the management, not the people. Two cases in Bangkok, one at the city level and one at the school level, are studied with the focus on how source reduction and source separation was developed in relation with the waste management system in each case. Both the municipality, Bangkok Metropolitan Administration, and the management of Roong Aroon School intended to incorporate source reduction and source separation in an attempt to make their waste management systems environmentally sound. Nevertheless, the results were very different. The study identifies the sequence of the system evolution as the main factor contributing to the difference. Other factors such as vision of the waste management, management support, public participation, target groups, etc. are also discussed. The thesis also stresses that the waste manager at the city level should put more emphasis on biodegradable fraction, not recyclable, in order to make action at sources beneficial to the municipal solid waste management system.
CROP PROTECTION : ENVIRONMENT , HUMAN HEALTH , AND BIODIVERSITY Effect of a thymol application on olfactory memory and gene expression levels in the brain of the honeybee Apis mellifera

Essential oils are used by beekeepers to control the Varroa mites that infest honeybee colonies. So, bees can be exposed to thymol formulations in the hive. The effects of the monoterpenoid thymol were explored on olfactory memory and gene expression in the brain of the honeybee. In bees previously exposed to thymol (10 or 100 ng/bee), the specificity of the response to the conditioned stimulus (CS) was lost 24 h after learning. Besides, the octopamine receptor OA1 gene Amoa1 showed a significant decrease of expression 3 h after exposure with 10 or 100 ng/bee of thymol. With the same doses, expression of Rdl gene, coding for a GABA receptor subunit, was not significantly modified but the trpl gene was upregulated 1 and 24 h after exposure to thymol. These data indicated that the genes coding for the cellular targets of thymol could be rapidly regulated after exposure to this molecule. Memory and sensory processes should be investigated in bees after chronic exposure in the hive to thymol-based preparations.
Does the Okun's Law Hold in the BRICS Countries and Nigeria?

The unemployment-output nexus is a topical issue in developing countries, particularly with some evidence against the trade-off suggested by Okun’s law. This study, therefore, investigates the validity of Okun’s law in the BRICS countries and Nigeria, based on annual data between 1993 and 2020, using the Panel ARDL model. We validate the Okun’s law with evidence of an inverse relationship between output and unemployment in the BRICS countries and Nigeria. We, therefore, recommend that policymakers should boost both nominal and potential output by fully diversifying the economy to enhance productivity and reduction in the unemployment rate. We also recommend that the BRICS countries and Nigeria should deploy more of their population into technology-driven economic activities such as the information and communication technology (ICT) sub-sector of the economy and productive sectors that are labour intensive such as agriculture to absorb the available labour and boost output and lower unemployment rate.
Construction of Resource and Environment Science Expedition Data Resources Integration System in Northeast Asia

Northeast Asia is a key area for Earth system study,global change frontier science research and regional sustainable development research,where has complex ecological environment pattern,variety of climate zones,and typical human-earth relationship comparing characteristics.Large amount of scientific expedition data are accumulated in the past several years in Northeast Asia(here refers to Northern China,Mongolia,and Siberia and Far East area of Russia) under the cooperation of China,Mongolia and Russia scientists.These data have multi-disciplinary features.How to integrate these scientific expedition data public services is a problem.According to these scientific expedition data accumulation and management requirements,we designed a data resources integration system,which has 3 sub systems,i.e.,data resources collect and management standards and specifications system,data classification system,data management and publication software platform.Data resources collection and management standard and specification system has 23 specifications,which can be divided into 3 types,i.e.,data collection and processing specification type,data analysis and archiving specification,and data management and sharing specification.Data resources classification system has 4 classes,25 sub classes and 128 data elements.Data management and publication software platform has 5 function models,i.e.,data catalogue search model,metadata management model,data publication and virtualization model,data view model and data download model.Based on the designed data integration system,a prototype system has been developed supported by computer technology and Web GIS technology.As far 144 datasets have been integrated in this data system.With more and more data are accumulated and integrated in this system,it will play an important role for the scientific expedition data application and analysis in the near future.
Determinan Akuntabilitas Pengelolaan Dana Desa Dengan Sistem Keuangan Desa Sebagai Pemediasi

Penelitian ini bertujuan untuk mengeksplorasi faktor-faktor yang memengaruhi tingkat akuntabilitas dalam pengelolaan dana desa, dengan implementasi Sistem Keuangan Desa (Siskeudes) sebagai variabel yang memediasi (intervening). Penelitian ini dilakukan dalam kerangka penelitian kuantitatif, dengan data primer yang diperoleh melalui survei terhadap responden. Analisis data menggunakan Partial Least Square (PLS) dengan model persamaan Structural Equation Modeling (SEM). Hasil penelitian mengungkapkan bahwa peran perangkat desa dan kompetensi aparatur desa berpengaruh positif terhadap tingkat akuntabilitas pengelolaan dana desa. Selain itu, Siskeudes juga memiliki pengaruh positif terhadap akuntabilitas pengelolaan dana desa. Peran perangkat desa dan kompetensi aparatur desa juga mempengaruhi akuntabilitas pengelolaan dana desa, baik secara langsung maupun dimediasi oleh implementasi Siskeudes. Oleh karena itu, peningkatan peran perangkat desa, pengembangan kompetensi aparatur desa, dan penerapan Sistem Keuangan Desa yang efisien merupakan langkah penting dalam mendukung akuntabilitas di tingkat desa.
Kesadaran Keamanan Informasi pada Pegawai Bank x di Bandung Indonesia

Berkembangnya teknologi diiringi dengan semakin meningkatnya jumlah pengguna internet di Indonesia, hal inilah yang membuat jumlah kejahatan di dunia maya bertambah. Rendahnya tingkat keamanan informasi di bidang perbankan, seperti adanya pembobolan ATM, skimming, phising dan malware juga dialami oleh Bank X yang merupakan Bank internasional dan berlokasi di Bandung. Sehingga perlu adanya tindakan kesadaran keamanan informasi (information security awareness). Kesadaran akan pentingnya menjaga keamanan informasi di Bank dipengaruhi oleh beberapa faktor yakni kepatuhan hukum (regulasi) danpenjagaan integritas data bank. Dalam meningkatkan kesadaran pegawai Bank X tersebut, peneliti menggunakan pendekatan teori verifikasi yang meliputi tiga hal perilaku pegawai dalam bekerja. Hal ini untuk mengukur pemahaman pegawai tentang kesadaran keamanan informasi melalui pengetahuan, sikap dan perilaku. Peneliti menggunakan metode penelitian kualitatif secara deskriptif dengan teknik purposive sampling, dimana pengumpulan datanya melalui wawancara. Hasil penelitian ini menunjukan bahwa pelaksanaan kebijakan keamanan informasi pada Bank X Bandung berjalan dengan baik, serta pegawai Bank X Bandung rata-rata telah mempunyai tingkat kesadaran yang tinggi terhadap keamanan informasi.
Emotion Regulation Difficulties as a Mediator in Islamic Religious Coping for Problematic Internet Use

Secondary problems as a result of internet use are becoming common at young age. Research related to factors that influence internet problems continues to be carried out to develop internet problem strategies such as Islamic religious coping and emotion regulation difficulties. The purpose of this study is to identify the effect of Islamic religious coping on problematic internet use (PIU) with emotion regulation difficulties as a mediating variable. This study used a quantitative approach with 304 Muslim undergraduate students in Indonesia as respondents. The measuring instruments used were Iranian Religious Coping (IRCOPE), Difficulties in Emotion Regulation Scale-18 (DERS-18), and Generalized Problematic Internet Use Scale 2 (GPIUS 2), which had been adapted into the Indonesian language. The results of the path analysis technique showed an effect of Islamic religious coping on emotion regulation difficulties and problematic internet use. However, there was no effect of Islamic religious coping on problematic internet use. This indicates that emotion regulation difficulties can fully mediate the correlation between Islamic religious coping and problematic internet use.