SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Error detection for digital television equipment.

Error detection for digital television equipment that strips away the vertical and horizontal intervals of a digital video signal so that only the active picture portion of the digital video signal is determined by a digital test signal generated from the digital video signal. The digital test signal has replaced at a predetermined location in the active picture portion of the digital video signal one or more video data words with data values that represent check word data for the active picture portion. The check word data may be inserted into the beginning of one of the horizontal lines of the active picture portion of the next field, or may be modified and inserted into the end of the last line of the active picture portion of the same field of the digital video signal. A receiving instrument processes the output of the digital television instrument under test to generate active picture check word data. The active picture check word data is compared either with the check word data extracted from the predetermined location in the active picture portion of the digital test signal or with a predetermined value to determine whether there were any digital errors in processing of the digital test signal by the digital television equipment. <IMAGE>
Stochastic resonance, reverse-resonance and stochastic multi-resonance in an underdamped quartic double-well potential with noise and delay

Abstract The stochastic resonance in an underdamped quartic double-well potential with time delayed feedback is studied numerically. The signal power amplification is employed to characterize the stochastic resonance of the system. Simulation results indicate that: (i) for moderate frequency of the periodic driving, the stochastic resonance is decreased monotonically by increasing the delay time, but at high frequency, the reverse-resonance is induced to transform into a stochastic resonance by time delay; (ii) the damping coefficient has a critical value for which the stochastic resonance is optimum; (iii) a stochastic multi-resonance emerges when the signal power amplification is a function of the driving frequency.
FORTSETZUNG VON LAB-TECH RADOMSKO

Das Projekt betrifft die Unterstützung des Betriebskapitals eines Unternehmens im Falle eines Umsatzrückgangs (Umsatzerlöse), der durch die negativen Auswirkungen des COVID-19-Ausbruchs verursacht wird.
Gromov-Witten theory: mirror symmetry, birational geometry, and the classification of fano manifolds

The classification of Fano manifolds is a long-standing and important open problem.  Fano manifolds are basic building blocks in geometry: they are `atomic pieces' of mathematical shapes.  We will take a radically new approach to Fano classification, combining Mirror Symmetry (a circle of ideas which originated in string theory) with new methods in geometry and massively-parallel computational algebra.  

Our main geometric tool will be Gromov-Witten invariants.   The Gromov-Witten invariants of a space X record the number of curves in X of a given genus and degree which meet a given collection of cycles in X; they have important applications in algebraic geometry, symplectic topology, and theoretical physics.  We will develop powerful new methods for computing Gromov-Witten invariants, and will apply these methods to Fano classification and to questions in birational geometry.
Submerged fermentation of amylase enzyme by <i>Aspergillus flavus</i> using <i>Cocos nucifera</i> meal

Soil samples were collected from the coastal region of Neendakara, along the West cost of Kerala, India. 15 fungal species were isolated and identified by using lacto phenol cotton blue staining method. From this, Aspergillus flavus was tested in Starch Hydrolysis Agar Medium for its amylase enzyme production under sumerged aerobic fermentation with different physico- chemical properties of substrates. Cocos nucifera meal was used as a carbon source. Heavy metals were added to these medium and were used as a modified medium. The effect of different carbon source, nitrogen compound and physico-chemical conditions like temperature, pH and incubation periods were studied for derivation of amylase enzyme. The molecular weight of enzyme was determined by SDS –PAGE. The role of heavy metals was determined by ion exchange chromatography. Cocos nucifera meal medium with dextrose has shown the highest amylase production at pH 6.0 and temperature of 30ºC with protein content of 201μg/ml; 98.4μg/ml and dry biomass of 1.28μg/ml. Keywords: Soil samples; A. flavus; amylase; SDS-PAGE; Ion exchange chromatography; submerged aerobic fermentation DOI: 10.3126/kuset.v6i2.4015Kathmandu University Journal of Science, Engineering and Technology Vol.6. No II, November, 2010, pp.75-87
Extending JAGS: A tutorial on adding custom distributions to JAGS (with a diffusion model example)

We demonstrate how to add a custom distribution into the general-purpose, open-source, cross-platform graphical modeling package JAGS ("Just Another Gibbs Sampler"). JAGS is intended to be modular and extensible, and modules written in the way laid out here can be loaded at runtime as needed and do not interfere with regular JAGS functionality when not loaded. Writing custom extensions requires knowledge of C++, but installing a new module can be highly automatic, depending on the operating system. As a basic example, we implement a Bernoulli distribution in JAGS. We further present our implementation of the Wiener diffusion first-passage time distribution, which is freely available at https://sourceforge.net/projects/jags-wiener/ .
PROJECTION DEVICE AND PERSONALIZED IMAGE SETTING METHOD THEREOF

A projection device having an information input unit, a storage unit, a scaling unit, an image processing unit and a projection unit is provided. The information input unit receives the image file corresponded to a compressed personalized startup image file. The storage unit has a first storage block storing a preset startup image file and a second storage block. The scaling unit generates a projected image signal according to the compressed personalized startup image file, and the scaling unit stores the compressed personalized startup image file in the at least one second storage block. The image processing unit generates a projection control signal according to the projected image signal. The projection unit generates an image beam according to the projection control signal, and projects the image beam on a projection surface to form the startup image screen. The disclosure further provides a personalized startup image setting method.
Türkiye de İktisat Politikasında Kurumsal Değişim ve Politika Koordinasyonu

Aim of this study is to investigate instiutional change of economic policies and to examine whether policies are well coordinated or not for the 1980-2016 period of Turkey. The coordination between economic policies may succeed in through trust, coordination and complementarity between institutions. Turkish economy transformed planned economy to free market system and institutional structure has changed dramatically in that period. Moreover in that period Turkey had exposed to several structural changes and economic crises too. The analysis can be significant when the suitable methods are used for these datas. This is the main reason why non linearity is tested by Harvey, Leybourne and Xiao (2008) and results supports that series are nonlinear. Fourier ADF unit root test is used nonlinear variables and Kapetanios, Shin and Snell (2003) cointegration test is applied for to analyze long run relations between variables. The empirical findings support that there is no relationship between monetary and fiscal policy variables. Secondly, Arby and Hanif (2010) methodology is used for calculating a coordination coefficient for Turkey. The low coordination coefficient supports that coordination institutions has not worked efficiently.
Mechanics of slow earthquake phenomena: an integrated perspective from the composition, geometry, and rheology of plate boundary faults

Major tectonic faults have, until recently, been thought to accommodate displacement by either continuous creep or episodic, damaging earthquakes. High-resolution geophysical networks have now detected ‘slow earthquakes’, transient modes of displacement that are faster than creep but slower than earthquakes. This project aims to illuminate the unknown mechanism behind slow earthquakes, through an integrated, multi-scale approach. MICA uses the unique natural laboratory of exhumed and active faults, to build numerical models constrained by observed fault geometry and microstructurally defined deformation mechanisms, to determine, for the first time, the rheology of slow slip.

The first objective is to create a model of the slow earthquake source, to constrain the micro- to kilometre-scale internal geometry of plate boundary faults, and the spatial distribution of deformation mechanisms. Fault rocks also retain a deformation sequence, allowing insight to how deformation style evolves with time. Thus, a combination of drill samples from active faults and outcrops of exhumed analogues, from a range of depths, allows for a 4-D model from micro- to plate boundary scale.

By knowing the geometrical distribution of fault rocks, and deciphering their evolution in time, this project will apply geologically constrained numerical models and laboratory constrained stress-strain relationships to determine bulk fault rheology as a function of space. Unique from past models, this project integrates scales from microstructures to plate boundary scale faults, and bases rheological models on deformation mechanisms and fault structures constrained through detailed fieldwork, and also considers the state-of-the-art of geophysical observation. The model focuses on understanding slow earthquakes, but also applies to understanding whether the slow earthquake source can also host fast seismic slip, and what differentiates slowly slipping faults from faults hosting major earthquakes.
Neurophysiological biomarkers of cortical plasticity induced by neuromodulation

One of the major issues when dealing with therapies for the rehabilitation of the lower limbs in stroke survivors is the in-deep assessment of their effectiveness and the lack of biomarkers for motor recovery. The motor functionality after therapy is evaluated only through clinical tests and scales which do not give information on the effective muscle state and the changes at the corticospinal level. The aim of restoring the motor functions has moved much of the attention of clinicians and researcher towards the use of the combination of brain stimulation techniques for the assessment of cortical excitability and Brain-Computer Interfaces (BCI) for the control of rehabilitation devices. This intervention induces cortical plasticity and reactivates the closed-loop pathway between the impaired cortical tract and the limb by using the cortical command to drive the device for the generation of the afferent volley. However, nothing is known about the changes of the neurophysiological correlates and how these influence the effective recovery of motor functions. NeuroN represents the first systematic attempt to investigate the neurophysiological correlates of changes in the excitability of the cortical areas responsible for ankle dorsiflexion in chronic hemiparetic stroke survivors with drop foot impairment and to identify novel biomarkers of motor recovery. NeuroN aims at filling the gap of knowledge on the functional effects of increased plasticity in chronic stroke survivors by integrating a BCI robot-based platform with the high-density surface electromyographic (HD-sEMG) recordings. The information coming from the decomposition of HD-sEMG signals give insight into the behavior of the motoneurons in the spinal cord and on the effective control command. NeuroN is expected to address one of the most intriguing issues in the neurorehabilitation field: the novel biomarkers developed will help in shaping new therapies for the recovery of motor function of stroke patients.
Cross-border institutional cooperation for ports environmental sustainability and energy efficiency

The ports of the Programme area do not have a common model for environmental planning and energy efficiency and adopt non-coordinated mitigation measures with an uneven result in terms of environmental protection. CLEAN BERTH intends to strengthen institutional capacity and cross-border governance of the ports of the Program Area. The aim is to improve their environmental and energy performance. In particular, a model of cross-border plan for environmental sustainability and port energy efficiency will be developed and declined through an ad hoc plan for each port (WP3.1) to be tested in concrete pilot actions, with tangible results (WP3.2). On the basis of what learned in WP3.1 and WP3.2, the ports of the Program Area will sign a Protocol for a joint cross-border cooperation strategy and harmonisation of policies in the medium and long term (WP3.3). This will benefit neighbouring citizens and those living in the municipalities where commercial airports are located. No project so far has ever brought together all ports of the Programme Area for a joint cross-border strategy.
Improving the patient’s environment: the ideal intensive care unit

Recent medical literature has been reporting the effects of intensive care unit (ICU) design on patients’ and family members’ well-being, safety, and functionality. Features of ICU design linked to the needs of patients and their family are single rooms, privacy, quiet surrounding, exposure to daylight, views of nature, prevention of infection, a family area, and open visiting hours. Improving the ICU environment is shown to increase the patients and family members’ satisfaction while reducing the duration of delirium. An organization based on the respect of the needs of the patients and their family is mandatory in designing a new ICU. The main aims in the design of a new ICU should be patient-centered care and future-proof concept.
Size-Based Flow-Scheduling Using Spike-Detection

Size-based scheduling is a promising solution to improve the response time of small flows (mice) that have to share bandwidth with large flows (elephants). To do this, one important task is to track the size of the ongoing flows at the router. However, most of the proposed size-based schedulers either employ the trivial way of tracking the size information of all flows, or require changes at end-hosts. Hence, either they are not scalable or they increase complexity. This paper proposes a new way of performing size-based scheduling in a practical and scalable fashion, by identifying and 'de-prioritizing' elephants only at times of high load. We exploit TCP's behaviour by using a mechanism that detects a window of packets -- called spikes -- when the buffer length exceeds a certain threshold. This spike-detection is used to identify elephant flows and thereafter de-prioritize them. Two-level processor-sharing (TLPS) scheduling is employed to schedule flows in two queues, one with the high-priority flows, and the other with the de-prioritized flows. We perform studies, using both analyses and simulations, to highlight the properties of the spike-detection mechanism. We show that, the proposed mechanism not only improves the response time of mice flows in a scalable way, but also gives better response times to other flows by treating them preferentially as long as they do not overload the high-priority queue.
Risk based protective devices placement in distribution networks with DG

The presence of distributed power generation causes the researches in this area to be considered more daily. One of the most interesting topics is this area is the protection of distribution networks that are connected to distributed generators. Up to now, many papers have been published in this area, and in each paper some conflicts that DGs may make in the operation of protection system in distribution networks have been investigated. Also, some solutions have been presented in some other works. In this paper, a new method for optimal placement of circuit breakers (CBs), which are one of the main protective devices in distribution networks including DG, has been presented. In the proposed method, risk analysis is used to optimize the location of circuit breakers on the distribution feeders. This method has been implemented on a typical distribution network and its results have been presented.
16. ANALISIS POLA PENYELUNDUPAN SENJATA SMALL ARMS AND LIGHT WEAPON (SALW) DI INDONESIA: STUDI KASUS GAM PERIODE 2000-2005

The purpose of this study was to determine the driving factors behind the smuggling of fire arms during the conflict, fire arms smuggling patterns that happened, and the government's efforts in addressing the issue. In conducting this study, researcher used qualitative research methods in explaining the variables of research to answer the essence of smuggling SALW arms during the GAM conflict. This research finds that there are 7 factors that encourage the smuggling of weapons by GAM during the conflict in Aceh. Those are, the geographical factor, abuse of authority, a lack of legal mechanisms, lack of coordination, a lack of supporting infrastructure, high price of the weapons, and increasing GAM membership.
Exploring the unknown through reincarnation and co-evolution

Humans have been exploring the world from the depths of the oceans to the edges of the universe. Yet many environments remain inaccessible, even to modern cutting-edge technology. Therefore problems like exploring the status of waste water under the Fukushima reactor, or discover suitable sites for underground CO2 storage remain unsolved.

Our aim is to investigate a new line of technology that will enable the exploration of difficult-to-access environments exploiting a risky, highly-novel approach called PHOENIX.

PHOENIX will accomplish the exploration of inaccessible environments with physical agents that are extremely limited in size and resources, and can operate without direct control over software and hardware. PHOENIX starts with processing a user question, then assesses available knowledge and initiates an evolutionary process involving two nested generational loops. In the outer loop PHOENIX develops, deploys and retrieves physical agents capable of penetrating the inaccessible environment and gathering information. Based on this knowledge, a model of the unknown environment is developed and evaluated. This model is refined in the inner loop, where environmental models and abstract representations of the physical agents (virtual agents) co-evolve in a virtual world until an improved generation of physical agents is ready for deployment. The goal of this co-evolution is to maximize the information captured about the unknown environment by progressively optimized agents.

Our main objectives are: the development of a co-evolutionary framework, the design of versatile agent technology and the development of a dedicated human interface.

PHOENIX is a radically new, high risk/high reward project. It also holds the promise to shed light on emergent properties of self-organization, local adaptation and division of labour in autonomous systems. The high societal benefits, foundational character and long-term focus make PHOENIX a perfect fit for the FET programme.
Improvements in or relating to methods of applying a self-adhesive to a floor-covering material

A self-adhesive composition, suitable for use with floor covering materials, comprises (a) 10% by weight of a solvent-free scale wax carrier, and (b) 90% by weight of a polyisobutylene. The adhesive is suitably applied to the floor covering material by atomizing it in a molten state with a stream of warm air through heated nozzles directly on to the back of the floor covering (see Division B2).
Thermal error compensation of dry hobbing machine tool considering workpiece thermal deformation

Dry hobbing is a new gear tooth forming process, which would replace the traditional wet hobbing process due to its high efficiency and environmental friendliness. However, due to the absence of metal cutting fluid in dry hobbing, temperature of hobbed workpiece is relatively high, which will lead to the increase of dimension errors, especially tooth thickness errors. In this paper, the features of workpiece thermal deformation errors are identified and an error compensation model is developed to compensate both machine tool thermal errors and tooth thickness errors which is induced by workpiece thermal deformation. In this model, the representative temperature variables of a dry hobbing machine tool are obtained based on experimental data with fuzzy clustering method. A compensation model is proposed to map the relationship between representative temperature variables and compensation value. In a series of experiments, the tooth thickness errors ranged from −22 to −59 μm. After implementing compensation of machine tool thermal errors, the tooth thickness errors ranged from −18 to −28 μm, which demonstrates that workpiece thermal deformation has a great influence on tooth thickness errors in dry hobbing. Furtherly, the tooth thickness errors ranged from −4 to 8 μm, after implementing compensation of both machine tool thermal errors and workpiece thermal deformation errors, which demonstrate that the compensation model is effective.
Prediction of the Number of Medals in International General Games: With Beijing Olympic Games as an Example

Based on theories of econometrics,population,GDP per capita,home advantage,social system,achievements in the previous Olympic Games,this paper established a preliminary model with multiple non-linear regression analysis.Considering the discrepancy in competitive sports strength between countries,the authors divided competitive sports strength into five scales with fuzzy C-means clustering algorithm.By introducing dummy variable,the authors proposed a revised model which combines theories of economics and discrepancy in competitive sports strength,and conducts a prediction analysis of the number of medals in 2008 Beijing Olympic Games.Results showed that this model can reveal the general tendency in the change of Olympic medals won by different countries,and can overcome the influence of discrepancy in competitive sports strength on prediction precision.This model can be applied to the prediction of the number of medals in international general games due to its scientificity and feasibility.
Caracterização de relevo por meio de indicadores morfométricos nas faces norte e sul da Chapada do Araripe – nordeste do Brasil

A chapada do Araripe, localizada na divisa entre os estados do Ceará, Piauí e Pernambuco marca parte do divisor hidrográfico de 3 importantes bacias hidrográficas brasileiras, a bacia do Jaguaribe, do São Francisco e do Parnaíba. Na Chapada do Araripe, as faces norte e sul possuem características de relevo distintas, enquanto a face norte possui relevo mais declivoso e movimentado, a face sul possui vertentes mais longas e menos declivosas. O presente artigo teve por objetivo ilustrar as diferenças entre as faces da Chapada do Araripe a partir da comparação entre atributos de relevo de duas bacias hidrográficas com características representativas no contexto regional. Para atingir o objetivo foram utilizadas métricas clássicas de relevo, indicadores de forma e simetria e o índice normalizado de declividade Ksn. A bacia do riacho Taquari está inserida na bacia do rio Jaguaribe e apresentou respostas nos índices que evidenciam relevo mais movimentado, com maior variação ao longo de toda a bacia. Em contraste, a bacia do riacho da Brígida, localizada na bacia do rio São Francisco, mostrou menores variações de relevo, com menor amplitude altimétrica e média de declividade. Nos perfis longitudinais, os valores de Ksn, indicam uma proximidade maior do perfil de equilíbrio na bacia do riacho da Brígida quando comparada a bacia do Taquari. A aplicação de indicadores morfométricos permitiu detalhar as duas faces da chapada, contribuindo para sua caracterização morfológica.