Miracle-dz/UniFAR-FTUs huggingface dataset:
A modeling and optimization approach for multiple energy carrier power flow

This paper presents a general power flow and optimization approach for power systems including multiple energy carriers, such as electricity, natural gas, and district heat. The model is based on a conceptual approach for the inclusion of distributed resources. Couplings between the different energy carriers are regarded explicitly, enabling investigations in power flow and marginal price interactions. Optimal demand, conversion, and transmission of multiple energy carriers within a system is formulated as a combined optimal power flow problem. A numerical example demonstrates how the method can be used for different system studies.
Face Detection and Recognition using Colour Sequential Images

135 Copyright© 2006, Australian Computer Society Inc. General permission to republish, but not for profit, all or part of this material is granted, provided that the JRPIT copyright notice is given and that reference is made to the publication, to its date of issue, and to the fact that reprinting privileges were granted by permission of the Australian Computer Society Inc. Face Detection and Recognition using Colour Sequential Images Zhonglong Zheng Institute of Information Science and Engineering, Zhejiang Normal University, Jinhua, 321004, Zhejiang, China E-mail: zhonglong@sjtu.edu. cn; zhonglong_qd@163.com
Knowledge Discovery in Literature Data Bases

The concept of knowledge discovery as dened through \es- tablishing previously unknown and unsuspected relations of features in a data base" is, cum grano salis, relatively easy to implement for data bases containing numerical data. Increasingly we nd at our disposal data bases containing scientic literature. Computer assisted detection of unknown relations of features in such data bases would be extremely valuable and would lead to new scientic insights. However, the current representation of scientic knowledge in such data bases is not conducive to computer processing. Any correlation of features still has to be done by the human reader, a process which is plagued by ineectiveness and incompleteness. On the other hand we note that considerable progress is being made in an area where reading all available material is totally prohibitive: the World Wide Web. Robots and Web crawlers mine the Web continuously and construct data bases which allow the identication of pages of interest in near real time. An obvious step is to categorize and classify the documents in the text data base. This can be used to identify papers worth reading, or which are of unexpected cross-relevance. We show the results of rst experiments using unsupervised classication based on neural networks.
Mathematical description of tumour re-oxygenation from repeated functional imaging: the impact of the choice of the reference region and modeling parameters

Hypoxia is often connected to treatment failure of radiotherapy, due to the higher resistance of cells to radiation when oxygen supply is reduced. The detection of tumor hypoxia with its specific localization and evolution in time could be fundamental factors for the predicting the prognosis. The aims of this work are: to improve the current method used to define maps of pO2 from PET images based on 18F-FMISO as radiotracer; to characterize mathematically the tumor re-oxygenation process.
Rainbow glare after laser-assisted in situ keratomileusis: a review of literature

This article reviews the current literature pertaining to rainbow glare (RG), including incidence rate, clinical presentation, etiology, prognosis, and management. RG is a rare optical complication of femtosecond laser-assisted in situ keratomileusis that results in patients seeing an array of spectral bands surrounding point sources of light under mesopic and scotopic conditions. The mechanism is thought to be a consequence of the formation of a transmissive diffraction grating on the posterior surface of the corneal flap created by the FS laser. RG has a good prognosis and is usually self-limiting. Persistent RG with concomitant residual refractive error may warrant lifting the flap and photoablating the posterior surface of the flap. Patients with persistent RG and no residual refractive error should be considered candidates for phototherapeutic keratectomy on the posterior flap surface.
A theory of weak bisimulation for core CML

Concurrent ML (CML) is an extension of Standard ML of New Jersey with concurrent features similar to those of process algebra. In this papes we build upon John Reppy's reduction semantics for CML by constructing a compositional operational semantics for a fragment of CML, based on higher-order process algebra. We use this to build a semantic theory for CML, based on weak bisimulation equivalence. We give some small examples of proofs about CML expressions, and show that our semantics corresponds to Reppy's up to weak first-order bisimulation.
TESTING MASS LOSS IN LARGE MAGELLANIC CLOUD CEPHEIDS USING INFRARED AND OPTICAL OBSERVATIONS

It has been claimed that period-luminosity (P–L) relations derived from infrared observations of Large Magellanic Cloud (LMC) Cepheids are less dependent on the metallicity of the Cepheids. In this work, infrared observations of LMC Cepheids from the SAGE survey are combined with OGLE II optical observations to model and predict mass-loss rates. The mass-loss rates are fit to the data and are predicted to range from about 10−12 to 10−7 M☉/yr; however, the rates depend on the assumed value of the dust-to-gas ratio. By comparing the relations derived from observations to the relations derived from predicted infrared stellar luminosities from the mass-loss model, it is shown that mass loss affects the structure and scatter of the infrared P–L relation. Mass loss produces shallower slopes of the infrared relations and a lower zero point. There is also evidence for nonlinearity in the predicted P–L relations, and it is argued that mass loss produces larger infrared excess at lower periods, which affects the slope and zero point, making the P–L relations more linear in the wavelength range of 3.6 to 5.8 μm. Because the dust-to-gas ratio is metallicity dependent and mass loss may have a metallicity dependence, infrared P–L relations have additional uncertainty due to metallicity.
Enhancing Web Searches from Concept Map-based Knowledge Models

Although many publicly available search engines can retrieve relevant information reasonably well, the list of the retrieved web pages is still often too large or contains information that has no relevance to the query. Our goal is to improve the results of these search engines for queries generated by users while constructing and/or browsing concept mapbased knowledge models. By exploiting the propositional and hierarchical nature of concept maps, we have developed two algorithms, SAgent and WAgent, for filtering and ranking the results obtained by the search engines. The algorithms were implemented via mobile agents and evaluated empirically. In our experiments, six subjects submitted queries based on a concept map to publicly available search engines (Google, Altavista, Yahoo, Excite), and were asked to rank the relevance of the results; the agents also filtered and ranked the engines’ output. The results are promising, in that the Agents’ ranking was .
Emotion Regulation Scale Multidimensional Assessment of Emotion Regulation Difficulties in Adolescents Using the Difficulties in

The authors explored the utility of the Difficulties in Emotion Regulation Scale (DERS) in assessing adolescents’ emotion regulation. Adolescents (11-17 years; N = 870) completed the DERS and measures of externalizing and internalizing problems. Confirmatory factor analysis suggested a similar factor structure in the adolescent sample of the authors as demonstrated previously among adults. Furthermore, results indicated no gender bias in ratings of DERS factors on three scales (as evidenced by strong factorial gender invariance) and limited gender bias on the other three scales (as evidenced by metric invariance). Female adolescents scored higher on four of six DERS factors than male adolescents. DERS factors were meaningfully related to adolescents’ externalizing and internalizing problems. Results suggest that scores on the DERS show promising internal consistency and validity in a community sample of adolescents.
Source Frequency Source Position Doppler FM Doppler Shift Gain Attenuation Amplitude Panning Bounded Periodic Motion Sound Source Source Speed Spatialization Algorithm AM and Granulation Spatial Modulation Synthesis AM and Spread High

In 1962 Karlheinz Stockhausen’s “Concept of Unity in Electronic Music” introduced a connection between the parameters of intensity, duration, pitch, and timbre using an accelerating pulse train. In 1973 John Chowning discovered that complex audio spectra could be synthesized by increasing vibrato rates past 20Hz. In both cases the notion of increased speed to produce timbre was critical to discovery. Although both composers also utilized sound spatialization in their works, spatial parameters were not unified with their synthesis techniques. Spatial Modulation Synthesis is introduced as a novel, physically-based control paradigm for audiovisual synthesis, providing unified control of spatialization, timbre, and visual form using high-speed sound trajectories.
Exercise Strengthens Central Nervous System Modulation of Pain in Fibromyalgia

To begin to elucidate the mechanisms underlying the benefits of exercise for chronic pain, we assessed the influence of exercise on brain responses to pain in fibromyalgia (FM). Complete data were collected for nine female FM patients and nine pain-free controls (CO) who underwent two functional neuroimaging scans, following exercise (EX) and following quiet rest (QR). Brain responses and pain ratings to noxious heat stimuli were compared within and between groups. For pain ratings, there was a significant (p < 0.05) Condition by Run interaction characterized by moderately lower pain ratings post EX compared to QR (d = 0.39–0.41) for FM but similar to ratings in CO (d = 0.10–0.26), thereby demonstrating that exercise decreased pain sensitivity in FM patients to a level that was analogous to pain-free controls. Brain responses demonstrated a significant within-group difference in FM patients, characterized by less brain activity bilaterally in the anterior insula following QR as compared to EX. There was also a significant Group by Condition interaction with FM patients showing less activity in the left dorsolateral prefrontal cortex following QR as compared to post-EX and CO following both conditions. These results suggest that exercise appeared to stimulate brain regions involved in descending pain inhibition in FM patients, decreasing their sensitivity to pain. Thus, exercise may benefit patients with FM via improving the functional capacity of the pain modulatory system.
Color-Selected High Redshift Galaxies and the HDF

The quality, depth, and multi-color nature of the Hubble Deep Field images makes them an excellent resource for studying galaxies at z > 2 using selection techniques based on the presence of the 912A Lyman break. I present a descriptive review of this method and of the properties of the objects which it identifies, and summarize spectroscopic progress on galaxies with 2 < z < 4 in the HDF. Using ground-based and HDF samples of Lyman break galaxies I discuss the luminosity function of galaxies at z ~ 3, and consider the effects of extinction on the star formation rates that are derived from the UV luminosity information. Infrared observations of the HDF provide data on the rest-frame optical properties of z ~ 3 galaxies, which are briefly described.
Passive Acoustic Leak Detection for Sodium Cooled Fast Reactors Using Hidden Markov Models

Acoustic leak detection for steam generators of sodium fast reactors have been an active research topic since the early 1970s and several methods have been tested over the years. Inspired by its success in the field of automatic speech recognition, we here apply hidden Markov models (HMM) in combination with Gaussian mixture models (GMM) to the problem. To achieve this, we propose a new feature calculation scheme, based on the temporal evolution of the power spectral density (PSD) of the signal. Using acoustic signals recorded during steam/water injection experiments done at the Indira Gandhi Centre for Atomic Research (IGCAR), the proposed method is tested. We perform parametric studies on the HMM+GMM model size and demonstrate that the proposed method a) performs well without a priori knowledge of injection noise, b) can incorporate several noise models and c) has an output distribution that simplifies false alarm rate control.
Development of a reliable method for orbit segmentation & measuring

Injuries of the bony orbit, which contains the eye, not only have aesthetic implications but also impair stereoscopic vision. Different techniques are used for surgical treatment. In this work we will present a tool that allows the reliable segmentation of the reconstructed and the unaffected orbit. For this we present a novel anterior closing that follows the clinical understanding of anatomy. To assist in the post-surgical evaluation, we suggest parameters with respect to clinically relevant regions (orbital floor, medial wall) and demonstrate a method to automatically determine them. We evaluate our methods on three clinical cases.
Naive Bayes-Guided Bat Algorithm for Feature Selection

When the amount of data and information is said to double in every 20 months or so, feature selection has become highly important and beneficial. Further improvements in feature selection will positively affect a wide array of applications in fields such as pattern recognition, machine learning, or signal processing. Bio-inspired method called Bat Algorithm hybridized with a Naive Bayes classifier has been presented in this work. The performance of the proposed feature selection algorithm was investigated using twelve benchmark datasets from different domains and was compared to three other well-known feature selection algorithms. Discussion focused on four perspectives: number of features, classification accuracy, stability, and feature generalization. The results showed that BANB significantly outperformed other algorithms in selecting lower number of features, hence removing irrelevant, redundant, or noisy features while maintaining the classification accuracy. BANB is also proven to be more stable than other methods and is capable of producing more general feature subsets.
Detecting the Corners of Light Shape of Automotive Low-beam Headlamp by Inverse Hough Transform

The corners are the key points of light shape of automotive low-beam headlamp. This paper explains, in detail, the principle of detecting the corners of light shape of automotive low-beam headlamp with Inverse Hough Transform. There are three major steps. Firstly, gradient method is used to obtain the dividing line between brightness and darkness in the light shape of low-beam headlight. Secondly, the straight lines are detected by Hough Transform. Thirdly, the cross-points of straight lines are obtained by Inverse Hough Transform. Then according to the reasonability of cross-points, unreasonable cross-points are removed, thus the corners of light shape are obtained. Experiments are used to prove that this method can resist noise and work on real time. It realizes the transformation from manual detection to automatic detection in detecting optical axes of vehicle lamp.
The effects of Distributive, Procedural, and interactional Justice on Digitally Enabled Supply Chain Integration: an upper Echelons Perspective

Firms are increasingly engaged in digitally enabled supply chain integration (DeSCI) with their supply chain partners to leverage each other’s resources and capabilities for achieving competitive advantage. However, how the top management’s perceptions of justice and behaviors in the supply chain influence the DeSCI are not well understood. Drawing upon the upper echelons theory, we investigate how top management mediates the impact of justice on firm’s DeSCI. Specifically, we identify three types of justice (distributive, procedural, and interactional justice) that influence top management behaviors (top management belief and top management participation), which in turn affect DeSCI (digitally enabled information sharing and digitally enabled collaborative planning). We test the hypotheses of interest with data collected from 198 firms in China. Our findings reveal that procedural justice positively affects top management belief, which then positively affects top management participation. In turn, top management participation positively affects both digitally enabled information sharing and digitally enabled collaborative planning. Furthermore, we find interactional justice postitively affects top management participation without the mediation of top management belief. However, we do not find distributive justice significantly relates to top management belief or top management participation. Theoretical contributions and managerial implications of this study are discussed.
Sub-maximal heart rate is associated with changes in high-intensity intermittent running ability in professional rugby league players

ABSTRACT Objectives: We examined: (1) relationships among sub-maximal heart rate (sub-maxHR) following 4 minutes of the Yo-Yo intermittent recovery test level 1 (IR1) and maximal-effort performance (distance covered at volitional exhaustion), (2) test re-test reliability of sub-maxHR, and (3) whether changes in maximal-effort Yo-Yo performance are related with changes in sub-maxHR in professional rugby league players. Methods: Yo-Yo IR1 performances of 32 players were assessed before and after 28.5 ± 6.8 days of pre-season training. Relationships between sub-maxHR and maximal-effort Yo-Yo performance, and changes in maximal-effort performance and sub-maxHR were compared. Results: Maximal-effort Yo-Yo IR1 performance and sub-maxHR correlated negatively (r = −0.73, CI −0.85 to −0.55, very large). Coefficient of variation (CV) of sub-maxHR was 2.4% (CI 2.0−3.3%), worthwhile changes of small (0.7 [CI 0.5−1.0%]), moderate (2.1 [CI 1.6−3.0%]) and large (4.3 [CI 3.3−6.1%]) were identified. Training-induced changes in sub-maxHR and Yo-Yo IR1 performance displayed a negative correlation (r = −0.57, CI −0.74 to −0.33, large). Conclusions: sub-maxHR has a very large negative relationship with maximal-effort Yo-Yo IR1 performance. Training-induced changes in sub-maxHR demonstrated a large negative relationship with changes in Yo-Yo IR1 performance. The CV and worthwhile changes can determine meaningful variations in sub-maxHR in professional rugby league players.
The Facilitating Role of Communication Technology in Nonresident Father–Teen Relationships

The goal of this study was to understand communication technology’s role in nonresident father–teen relationships. A qualitative study explored the meanings teens attributed to technology-mediated interactions with their nonresident fathers. The study found that teens’ interactions mediated by contemporary communication technologies helped maintain connections with their fathers in multiple ways, increased intimacy, helped them feel part of the same world, facilitated family interaction, and allowed teens to control access to parts of their lives. Results and implications for research and practice are discussed.
Post-Merger Restructuring and the Boundaries of the Firm

We examine how firms redraw their boundaries after acquisitions using plant-level data. We find that there is extensive restructuring in a short period following mergers and full-firm acquisitions. Acquirers of full firms sell 27% and close 19% of the plants of target firms within three years of the acquisition. Acquirers with skill in running their peripheral divisions tend to retain more acquired plants. Retained plants increase in productivity whereas sold plants do not. These results suggest that acquirers restructure targets in ways that exploit their comparative advantage.
Relativistic ponderomotive force, Uphill acceleration, and transition to chaos.

Starting from a covariant cycle-averaged Lagrangian the relativistic oscillation center equation of motion of a point charge is deduced, and analytical formulas for the ponderomotive force in a traveling wave of arbitrary strength are presented. It is further shown that the pondermotive forces for transverse and longitudinal waves are different; in the latter, uphill acceleration can occur. In a standing wave there exists a threshold intensity above which, owing to transition to chaos, the secular motion can no longer be described by a regular ponderomotive force.
Adaptive Neuro Fuzzy Inference Systems for High Frequency Financial Trading and Forecasting

The prediction of financial time series is a very complicated process. An initial look at financial time series gives the impression that they are random in nature. If true, this would make the forecast, and therefore the trading, of such series exceptionally difficult. The efficient market hypothesis states that the current price contains all available information in the market. This leads to the predictability of most financial time series as being a rather controversial issue. Experts have been forecasting and trading financial markets for decades, using their knowledge and expertise in recognizing patterns and interpreting current financial data. This paper extends the Adaptive Neuro-Fuzzy Inference System to create an expert system that is capable of using fuzzy reasoning combined with the pattern recognition capability of neural networks to be used in financial forecasting and trading. The novelty of the approach lies in its application to the field of high frequency finance. Such an approach has not been used so far with high frequency trading or as a part of an automated trading strategy. This has produced an expert trading system which overcomes the physical limitations of human experts and traders in taking multiple decisions at extremely short time intervals. This means the system can perform predictions and trading decisions at a very high frequency using intra-day data.
TabletGaze: A Dataset and Baseline Algorithms for Unconstrained Appearance-based Gaze Estimation in Mobile Tablets

—We study gaze estimation on tablets; our key design goal is uncalibrated gaze estimation using the front-facing camera during natural use of tablets, where the posture and method of holding the tablet is not constrained. We collected the ﬁrst large unconstrained gaze dataset of tablet users, labeled Rice TabletGaze dataset. The dataset consists of 51 subjects, each with 4 different postures and 35 gaze locations. Subjects vary in race, gender and in their need for prescription glasses, all of which might impact gaze estimation accuracy. Driven by our observations on the collected data, we present a baseline algorithm for automatic gaze estimation using multi-level HoG feature and Random Forests regressor. The TabletGaze algorithm achieves a mean error of 3.17 cm. We perform extensive evaluation on the impact of various factors such as dataset size, race, wearing glasses and user posture on the gaze estimation accuracy and make important observations about the impact of these factors.