Miracle-dz/UniFAR-FTUs huggingface dataset:
A Visionary Way to Novel Process Optimization Techniques - The Transfer of a Process Modeling Language to the Neuronal Level

: Modern process optimization approaches do build on various qualitative and quantitative tools, but are mainly limited to simple relations in different process perspectives like cost, time or stock. In this paper, a new approach is presented, which focuses on techniques of the area of Artiﬁcial Intelligence to capture complex relations within processes. Hence, a fundamental value increase is intended to be gained. Existing modeling techniques and languages serve as basic concepts and try to realize the junction of apparently contradictory approaches. This paper therefore draws a vision of promising future process optimization techniques and presents an innovative contribution.
Simulations of Woven Composite Reinforcement Forming

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Simulations of Woven Composite Reinforcement Forming Philippe Boisse
Nonlinear Channels Aggregation Networks for Deep Action Recognition

We introduce the concept of channel aggregation in ConvNet architecture, a novel compact representation of CNN features useful for explicitly modeling the nonlinear channels encoding especially when the new unit is embedded inside of deep architectures for action recognition. The channel aggregation is based on multiple-channels features of ConvNet and aims to be at the spot finding the optical convergence path at fast speed. We name our proposed convolutional architecture “nonlinear channels aggregation networks (NCAN)” and its new layer “nonlinear channels aggregation layer (NCAL)”. We theoretically motivate channels aggregation functions and empirically study their effect on convergence speed and classification accuracy. Another contribution in this work is an efficient and effective implementation of the NCAL, speeding it up orders of magnitude. We evaluate its performance on standard benchmarks UCF101 and HMDB51, and experimental results demonstrate that this formulation not only obtains a fast convergence but stronger generalization capability without sacrificing performance.
A Fault Injection Environment for the Evaluation of a Soft Error Detection Technique based on Time Redundancy

− This paper presents a Verilog test simulation environment designed to inject random transient faults on a 32-bit microprocessor. The purpose of the test environment is to study a hardware-assisted soft error detection technique based on time redundancy. The soft error detection method compares the states of the microprocessor of two independent executions of the same program. The simulation environment takes advantage of the redundant execution and divides the process in two phases. The first phase operates during the first execution of the program to determine the number of cycles that are required to complete the task when no faults are present. The second phase is performed during the second execution of the program to inject a soft error in the microprocessor. The hardware assistance saves the microprocessor states as the program is executing the first time and detects the soft error as they occur during the second execution.
Leonardo da Vinci: The Proportions of the Drawings of Sacred Buildings in Ms. B, Institut de France

Previous studies of proportion in Leonardo’s work have focused on the drawings of human anatomy and horses, and on the Sforza and Trivulzio equestrian monuments. Rarely has the interest of scholars concentrated on architectural proportions (Pedretti 1978; Schofield 1991); more frequently scholars have tried to ‘ridurre in proportione’ the plans or to arrange the sketches by Leonardo into real dimensions (for example, Guillaume and Kubacher (1987)). The purpose of this article is to understand what proportional schemes form the basis of Leonardo’s architectural drawings and how the plans, elevations and architectural members are proportionally related.
Machine-learning based image segmentation using Manifold Learning and Random Patch Forests

Accurate segmentation of organs at risk is an essential precondition for successful treatment planning in radiotherapy. In this paper we introduce a novel approach for the fully automatic segmentation of organs at risk in CT images. The method is based on the usage of Manifold Learning in order to extract features of multi-scale image patches. In combination with spatial locality information, the resulting embedding coordinates are used as features for a multistep classification approach based on using multiple Random Patch Forests. Experiments using 17 CT images of the head-neck region demonstrate the high potential of the presented method. Quantitative evaluation shows that the approach provides accurate segmentation results even with a small number of training subjects.
THM Preference : Oral EFFECT OF TAPERING REALISTIC PHOTONIC CRYSTAL FIBER IN TAILORING BIREFRINGENCE AND DISPERSION PROPERTIES

The guiding properties namely, birefringence and dispersion of fabricated photonic crystal structures and their effects on adiabatic tapering of the structure are investigated using a finite difference mode convergence. Tapering, as an additional parameter, is seen to improve birefringence of a typical hi-bi PCF by one order magnitude. Our investigation with tapered PCF structures includes tailoring of dispersion properties and increase of nonlinearity which leads to more broadened and low threshold supercontinuum generation.
CPS: Small: Dynamically Managing the Real-time Fabric of a Wireless Sensor-Actuator Network

Contact information This work introduced a distributed approach that combines local-deadline assignment with feasibility analysis such that the resulting deadline assignment is guaranteed to be schedulable. The local-deadline assignment problem is posed as a mathematical programming problem that maximizes the minimum time slack among all the messages relayed by each node on the route. This is done using an online, iterative technique to efficiently solve the mathematical program. The algorithm has polynomial time complexity. Wireless sensor-actuator networks (WSAN) consist of numerous sensing and actuation devices that share information over an ad hoc wireless communication network. Examples of such systems include the national power grid, ground/air traffic networks, and water/gas distribution networks
Job Satisfaction among Secondary-School-Heads: A Gender Based-Comparative Study

The purpose of the study was to examine and compare the job satisfaction of male and female secondary-school heads in Khyber Pakhtunkhwa, Pakistan. All the male and female secondary-school heads working in pubic secondary schools of Khyber Pakhtunkhwa constituted the population of the study. A total sample of 402 secondary-school heads was selected through multistage sampling technique in which 260 were males and 142 were females. Descriptive and quantitative research design was used. A standardized tool (i.e., “Minnesota Satisfaction Questionnaire” (MSQ)) was used for data collection. For statistical analysis, proper descriptive statistics (i.e., mean and standard deviation) and inferential statistics (i.e., independent samples t-test) were employed. The findings revealed that secondary-school heads were found dissatisfied with ability utilization, advancement, education policies and practices, creativity, compensation, supervision (HR), supervision (technical), and working conditions. There was no significant difference between the job satisfaction of male and female secondary-school heads with respect to overall intrinsic as well as extrinsic factors. Based on these findings, it was recommended that productive and effective measures should to be taken by the Ministry of Education Khyber Pakhtunkhwa to maintain and strengthen the employees’ level of satisfaction at each level. The Ministry of Education should devise compelling, productive, and effective education policies that are promising to the employees’ prosperity and organizational productivity.
Cell differentiation assisting in evaluating mastitis treatment prognosis

Bovine mastitis is commonly treated with antibiotics, which does not always succeed and therefore, sometimes is unnecessary. Bacteriological cure is the goal of antibiotic therapy and depends on the causing microorganism, the applied therapy, and on animal-related factors. Determining the animal-related part of the probability of bacteriological cure before applying antibiotics might help to reduce unnecessary usage. By now, this is only possible by considering individual cow data including animal-related factors such as age, mastitis history and somatic cell count. Former studies revealed that chronic mastitis lowers the probability of cure and leads to specific characteristics found in the differential cell count. The aim of this study was to develop a flow cytometric cell differentiation tool to determine animal-related factors correlating with a score-based probability of bacteriological cure. Therefore, the proportions of different cell types and their vitality in 874 Dairy Herd Improvement milk samples of 239 cows were determined by flow cytometry. The results were tested for a correlation between data of flow cytometry and the calculated animal-related probability of bacteriological cure of each individual cow by binomial logistic regression analysis. A statistically significant association to the calculated and animal-related probability of bacteriological cure could be shown for highly granulated cells, non-vital cells and macrophages. With this model, 84.4 % of all animals could be allocated to their estimated animal-related probability of bacteriological cure correctly. These findings suggest that flow cytometric cell differentiation might become an innovative tool to estimate animal-related prognosis for bacteriological cure.
The Determinants of CDS Bid-Ask Spreads

We investigate the determinants of bid-ask spreads on corporate credit default swaps (CDSs). We find that proxies for dealer inventory costs such as variability of CDS premia and CDS trading volume explain as much as 80% of variation in CDS bid-ask spreads. We also analyze the influence of variables capturing systematic risk of reference entities, market-implied volatility, dealer funding costs and competition between dealers. Several of these variables are significant, but their explanatory power is moderate. Finally, we demonstrate that CDS bid-ask spreads do not widen preceding earnings announcement surprises, which suggests that private information does not hinder CDS liquidity.
Emotions and Irony per Gender in Facebook

This paper describes a Spanish dataset collected from Facebook that has been labelled with emotions, irony and author’s gender. The inter-annotator agreement shows the difficulty and high level of subjectivity of the annotation task, especially with respect to irony. Statistics of the corpus show the relationship among topics, emotions, irony and author’s gender. For instance, females used more emotions than males (mainly positive emotions), males were more ironic than females (at least in this dataset), and politics is the topic addressed more ironically and with more negative emotions. A social analysis of the results goes beyond the scope of this paper but being the comments mainly about (some of) the Spanish politicians, we are not surprised of the results. The dataset is publicly available for research and social analysis purposes with the name EmIroGeFB at http://ow.ly/uQWEs
Modeling large scale species abundance with latent spatial processes

Modeling species abundance patterns using local environmental features is an important, current problem in ecology. The Cape Floristic Region (CFR) in South Africa is a global hot spot of diversity and endemism, and provides a rich class of species abundance data for such modeling. Here, we propose a multi-stage Bayesian hierarchical model for explaining species abundance over this region. Our model is specified at areal level, where the CFR is divided into roughly 37,000 one minute grid cells; species abundance is observed at some locations within some cells. The abundance values are ordinally categorized. Environmental and soil-type factors, likely to influence the abundance pattern, are included in the model. We formulate the empirical abundance pattern as a degraded version of the potential pattern, with the degradation effect accomplished in two stages. First, we adjust for land use transformation and then we adjust for measurement error, hence misclassification error, to yield the observed abundance classifications. An important point in this analysis is that only 28% of the grid cells have been sampled and that, for sampled grid cells, the number of sampled locations ranges from one to more than one hundred. Still, we are able to develop potential and transformed abundance surfaces over the entire region. In the hierarchical framework, categorical abundance classifications are induced by continuous latent surfaces. The degradation model above is built on the latent scale. On this scale, an areal level spatial regression model was used for modeling the dependence of species abundance on the environmental factors. To capture anticipated similarity in abundance pattern among neighboring regions, spatial random effects with a conditionally autoregressive prior (CAR) were specified. Model fitting is through familiar Markov chain Monte Carlo methods. While models with CAR priors are usually efficiently fitted, even with large data sets, with our modeling and the large number of cells, run times became very long. So a novel parallelized computing strategy was developed to expedite fitting. The model was run for six different species. With categorical data, display of the resultant abundance patterns is a challenge and we offer several different views. The patterns are of importance on their own, comparatively across the region and across species, with implications for species competition and, more generally, for planning and conservation.
When the Going Gets Tough: Board Capital and Survival of New Economy IPO Firms

This study investigates the influence of corporate governance attributes on the likelihood of survival for 127 new economy IPO companies that listed on the ASX between 1994 to 2002. We use survival analysis techniques utilizing the Cox proportional hazards model with three main categories of corporate governance attributes; a) board size, b) board independence and c) ownership concentration. We find that the survival time is negatively related to the percentage holdings of the top 20 shareholders. Our results also suggest that new economy IPO companies with low leverage and small company size are more likely to survive. However, the results indicate that board size and board independence do not explain the survival likelihood of new economy IPO firms. Our results suggest that corporate governance mechanisms that are designed specifically to protect minority shareholders and other providers of external capital are of little value during periods of extreme financial duress.
Exciton States in Free-Standing and Embedded Semiconductor Nanocrystals

Semiconductor quantum dots (QDs), often referred to as "artificial atoms", have discrete energy levels that can be tuned by changing the QD size and shape. The existence of zero-dimensional states in QDs has been proved by high spectrally and spatially resolved photoluminescence (PL) studies Empedocles et al. (1996); Grundmann et al. (1995). Semiconductor QDs can be divided into two types, (1) epitaxially grown self-assembled dots (SAQDs) and (2) nanocrystals (NCs) surrounded by a non-semiconductor medium. Usually, SAQDs are obtained by using appropriate combinations of lattice mismatched semiconductors, taking advantage of the Stranski-Krastanov growth mode where highly strained 2D layers relax by forming 3D islands instead of generating misfit dislocations. SAQDs are robust and already integrated into a matrix appropriate for device applications Grundmann (2002). However, the size, shape and size distributions of the 3D islands are determined only by the strain related to the lattice mismatch of the specific heterojunction. Also, the density and the possibility of obtaining different nanocrystals over a given substrate have considerable limitations in this method.
A DESIGN METHOD FOR 1-D IIR FILTERS WITH A NECESSARY AND SUFFICIENT STABILITY CRITERION

In general, it is necessary to guarantee stability when designing of Onedimensional (1-D) infinite impulse response (IIR) filters. Methods for guaranteeing stability by using Rouche’s theorem, the positive realness condition, or a method based on the positive realness have previously been proposed for defining the necessary iterative approximation algorithm. In these cases, the conventional stability criteria become the sufficient condition to guarantee stability. As a result, the stability domains obtained using these criteria are narrow and variable. In the present paper, we propose a design method of 1-D IIR filters, which applies a stability criterion based on the system matrix to the successive projection (SP) method. The stability criterion based on the system matrix in the proposed method becomes the necessary and sufficient condition for guaranteeing stability. Therefore, the stability domain does not depend on denominator polynomial coefficients, and the domain is not variable. Moreover, the stability domain is wider than that by the conventional stability criteria. As a result, 1-D IIR filters obtained using the proposed method have a smaller ripple than those from using conventional methods. In addition, the proposed design method realizes faster design times than those from using the conventional design methods.
Probing the weakly-bound neutron orbit of 31Ne with total reaction and one-neutron removal cross sections

A candidate of a neutron-halo nucleus, {sup 31}Ne, contains a single neutron in the pf shell. Within the Glauber and eikonal models, we analyze reactions used to study {sup 31}Ne. We show in a {sup 30}Ne+n model that the magnitudes of the total reaction and above all of the one-neutron removal cross sections of {sup 31}Ne on {sup 12}C and {sup 208}Pb targets strongly depend on the orbital angular momentum of the neutron, thereby providing us with efficient ways to determine both the spin-parity and structure of the ground state of {sup 31}Ne. Besides these inclusive observables, we also calculate energy and parallel-momentum distributions for the breakup of {sup 31}Ne and show their strong dependence on the orbital of the valence neutron in the bound state of {sup 31}Ne.
A Brief Description of the Game Ms

This paper delves into the game of Ms. PacMan. Ms. Pac-Man is a 1-person perfectinformation non-deterministic video game. The goal of this paper is to develop a successful agent which is controlling Ms. Pac-Man. The paper proposes to apply Monte-Carlo Evaluations (MCE). In the experiments the parameters of the algorithm are tuned. The agent turned out to be weaker than the best knowledge-rule-based agent, ICE Pambush 3, on average.
Calibration and correction procedures for cosmic‐ray neutron soil moisture probes located across Australia

The cosmic‐ray probe (CRP) provides continuous estimates of soil moisture over an area of ∼30 ha by counting fast neutrons produced from cosmic rays which are predominantly moderated by water molecules in the soil. This paper describes the setup, measurement correction procedures, and field calibration of CRPs at nine locations across Australia with contrasting soil type, climate, and land cover. These probes form the inaugural Australian CRP network, which is known as CosmOz. CRP measurements require neutron count rates to be corrected for effects of atmospheric pressure, water vapor pressure changes, and variations in incoming neutron intensity. We assess the magnitude and importance of these corrections and present standardized approaches for network‐wide analysis. In particular, we present a new approach to correct for incoming neutron intensity variations and test its performance against existing procedures used in other studies. Our field calibration results indicate that a generalized calibration function for relating neutron counts to soil moisture is suitable for all soil types, with the possible exception of very sandy soils with low water content. Using multiple calibration data sets, we demonstrate that the generalized calibration function only applies after accounting for persistent sources of hydrogen in the soil profile. Finally, we demonstrate that by following standardized correction procedures and scaling neutron counting rates of all CRPs to a single reference location, differences in calibrations between sites are related to site biomass. This observation provides a means for estimating biomass at a given location or for deriving coefficients for the calibration function in the absence of field calibration data.
Decentralization: Proliferation of Territories in Musi Rawas Regency, Indonesia

: Formation of new autonomous regions are meant to promote effective governance, by reducing the span of control of the previous more extensive area, improving the quality of public services, increasing the wealth of the local people, setting the fiscal balance between central and local government, increasing employment and capital inflow. However, the formation process of North Musi Rawas as a new autonomous region took 11 years since proposed in 2002 until signed by the central government in 2013. This paper argues that the factors behind the long delay were mainly political factors, instead of administrative. Administrate, the region is eligible to be established as a new autonomous region. This study uses the NVivo Program as a tool for conducting primary and secondary data analyzed from direct interviews, meeting results and statements from related parties. From the research results obtained that the political process, however, involves a series of events in its history that generated constraints for establishing North Musi Rawas as a new autonomous region. The historical facts include leadership contest between Governor of South Sumatera and Regent of Musi Rawas, conflict over control of the natural gas resource in Suban 4, central government's moratorium policy to new autonomous region formation, leadership change, and internal conflict within the social movement to demand autonomy among local people. It argued in this paper that absence of political network and lack of organization of social mobility to demand freedom allows the recurring events that created constraints to the political process of establishing North Musi Rawas as a new regency. The absence of political network to elites in the regional and national levels complicate the political communication to pursue autonomy. It explains why the conflict between Governor and Regent can halt the proposal. Weak organization of social movement allowed internal strife and complicated the resource mobilization to achieve the political goal.