Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of High-phosphorous Iron Ore Distribution in Quasi-particle on Melt Fluidity and Sinter Bed Permeability during Sintering

The effect of high P Brockman ore on the melt fluidity was investigated to make clear the mechanism for the deterioration of permeability of sinter bed during sintering.Blending high-P ore, characterized by the high porosity and fine size distribution, decreased melt fluidity by the absorption of melt into porous high P Brockman ore. As a result, the pressure drop of sinter bed increased during sintering by the suppression of pore growth, and the sinter productivity decreased.To improve the sinter productivity using high-P Brockman ore, JFE Steel has developed an advanced granulation process characterized by segregating high-P Brockman ore at the center of quasi-particle, which was coated by coke breeze and limestone. It is important to select the suitable coating thickness of dense hematite ore around porous iron ore for preventing from the melt absorption into iron ore. This process controls the excess melting reaction between iron ore and limestone, owing to the segregation of high-P ore within the quasi-particles.The commercial plant trials showed that the desirable melt fluidity, resulting from the segregation of high-P ore in a quasi-particle, enhanced the permeability of sinter bed at Fukuyama No. 4 Sinter Plant of JFE Steel. The application of new granulation process remarkably improved both the productivity and reducibility of sinter products, in spite of the recent inferior ore conditions.
WmXML: A System for Watermarking XML Data

As increasing amount of data is published in the form of XML, copyright protection of XML data is becoming an important requirement for many applications. While digital watermarking is a widely used measure to protect digital data from copyright offences, the complex and flexible construction of XML data poses a number of challenges to digital watermarking, such as re-organization and alteration attacks. To overcome these challenges, the watermarking scheme has to be based on the usability of data and the underlying semantics like key attributes and functional dependencies. In this paper, we describe WmXML, a system for watermarking XML documents. It generates queries from essential semantics to identify the available watermarking bandwidth in XML documents, and integrates query rewriting technique to overcome the threats from data re-organization and alteration. In the demonstration, we will showcase the use of WmXML and its effectiveness in countering various attacks.
GFP and beta-galactosidase transformation vectors for promoter/enhancer analysis in Drosophila.

the fact that ECs are difficult to transfect, the success of this method is warranted for a wider range of cells with different origins. In fact, we have obtained similar results in temporally transfecting NIH 3T3 cells using this method (data not shown). In addition, this method of temporal transfection might have utility in reversing cellular abnormalities through genetic intervention of the temporally introduced gene.
Experimental Study of Fibrin Embolization Under Shear Flow

Abstract Arterial thrombi consist mainly of platelets and fibrin, the biopolymer produced in the final step of the coagulation cascade. Thrombus fragmentation may result in occlusion of smaller distal vessels (embolization), a serious and often fatal event. The objective of this study is to investigate the role of the fibrin polymer network on the resistance of a clot to fragmentation under shear flow. For that purpose, a fibrin clot model representative of native clots is submitted to a shear flow that reproduces the pathophysiological range of shear stress. The adhesion force due to specific fibrin/fibrin interactions is determined from the measurement of the shear stress producing 50% detachment of model particles of blood platelets embedded in the clot. This force was found to be several orders higher than the nonspecific colloidal forces between surfaces, which can, thus, be neglected. Influence of the number of fibrin monolayers in the clot model on adhesion force is investigated.
A Framework for Human Activity Recognition using Pose Feature for Video Surveillance System

In this paper, a system framework has been presented to recognize a human activity recognition approach. The proposed framework is composed of three consecutive modules: (i) detecting and locating people by background subtraction, (ii) scale invariant contour-based pose features from silhouettes (iii) finally classifying activities of people by Multiclass Support vector machine (SVM) classifier. The proposed method use approximate median filter based background–foreground separation technique to extract motion information and generate object silhouettes to activity of humans present in a scene monitored by a camera. Experimental results demonstrate that the proposed method can recognize these activities accurately for standard KTH database.
Thompson Sampling for Budgeted Multi-Armed Bandits

Thompson sampling is one of the earliest randomized algorithms for multi-armed bandits (MAB). In this paper, we extend the Thompson sampling to Budgeted MAB, where there is random cost for pulling an arm and the total cost is constrained by a budget. We start with the case of Bernoulli bandits, in which the random rewards (costs) of an arm are independently sampled from a Bernoulli distribution. To implement the Thompson sampling algorithm in this case, at each round, we sample two numbers from the posterior distributions of the reward and cost for each arm, obtain their ratio, select the arm with the maximum ratio, and then update the posterior distributions. We prove that the distribution-dependent regret bound of this algorithm is O(lnB), where B denotes the budget. By introducing a Bernoulli trial, we further extend this algorithm to the setting that the rewards (costs) are drawn from general distributions, and prove that its regret bound remains almost the same. Our simulation results demonstrate the effectiveness of the proposed algorithm.
Planning and Scheduling in Temporally Uncertain Domains

Any form of model-based reasoning is limited by the adherence of the model to the actual reality. Scheduling is the problem of finding a suitable timing to execute a given set of activities accommodating complex temporal constraints. Planning is the problem of finding a strategy for an agent to achieve a desired goal given a formal model of the system and the environment it is immersed in. When time and temporal constraints are considered, the problem takes the name of temporal planning. A common assumption in existing techniques for planning and scheduling is controllability of activities: the agent is assumed to be able to control the timing of starting and ending of each activity. In several practical applications, however, the actual timing of actions is not under direct control of the plan executor. In this thesis, we focus on this temporal uncertainty issue in scheduling and in temporal planning: we propose to natively express temporal uncertainty in the model used for reasoning. We first analyze the state-of-the-art on the subject, presenting a rationalization of existing works. Second, we show how Satisfiability Modulo Theory (SMT) solvers can be exploited to quickly solve different kinds of query in the realm of scheduling under uncertainty. Finally, we address the problem of temporal planning in domains featuring real-time constraints and actions having duration that is not under the control of the planning agent.
Design and implementation of a digital PWM controller for a high-frequency switching DC-DC power converter

This paper describes the complete design and implementation of a digital controller for a high-frequency switching power supply. Guidelines for the minimum required resolution of the analog-to-digital converter, the pulse-width modulator, and the fixed-point computational unit are derived. A design example based on a buck converter operating at the switching frequency of 1 MHz is presented. The controller design is based on direct digital design approach and standard root-locus techniques. Experimental results are shown to validate the design approach and the allocation of resources (resolution) in the implementation.
Effect of socioeconomic disparities on incidence of dementia among biracial older adults: prospective study

Objective To examine whether observed differences in dementia rates between black and white older people living in the community could be explained by measures of socioeconomic status (income, financial adequacy, education, and literacy) and health related factors. Design Prospective cohort study. Setting General community from two clinic sites in the United States (Pittsburgh, Pennsylvania and Memphis, Tennessee). Participants 2457 older people (mean age 73.6 years; 1019 (41.5%) black; 1233 (50.2%) women), dementia-free at baseline, in the Health, Aging, and Body Composition study. Main outcome measure Dementia was determined over 12 years (ending January 2011) by prescribed dementia drugs, hospital records, and decline in global cognitive scores. The influence of socioeconomic status and health related factors on dementia rates was examined in a series of Cox proportional hazard models in which these variables were added sequentially in covariate blocks. Results Over follow-up, 449 (18.3%) participants developed dementia. Black participants were more likely than white participants to develop dementia (211 (20.7%) v 238 (16.6%), P<0.001; unadjusted hazard ratio 1.44, 95% confidence interval 1.20 to 1.74). The hazard ratio lessened somewhat after adjustment for demographics, apolipoprotein E e4, comorbidities, and lifestyle factors (1.37, 1.12 to 1.67) but was greatly reduced and no longer statistically significant when socioeconomic status was added (1.09, 0.87 to 1.37). Conclusion These findings suggest that differences in the burden of risk factors, especially socioeconomic status, may contribute to the higher rates of dementia seen among black compared with white older people. Strategies aimed at reducing these disparities may favorably affect the incidence of dementia.
Allosteric Voltage Gating of Potassium Channels II: Mslo Channel Gating Charge Movement in the Absence of Ca2+

Large-conductance Ca(2+)-activated K(+) channels can be activated by membrane voltage in the absence of Ca(2+) binding, indicating that these channels contain an intrinsic voltage sensor. The properties of this voltage sensor and its relationship to channel activation were examined by studying gating charge movement from mSlo Ca(2+)-activated K(+) channels in the virtual absence of Ca(2+) (<1 nM). Charge movement was measured in response to voltage steps or sinusoidal voltage commands. The charge-voltage relationship (Q-V) is shallower and shifted to more negative voltages than the voltage-dependent open probability (G-V). Both ON and OFF gating currents evoked by brief (0.5-ms) voltage pulses appear to decay rapidly (tau(ON) = 60 microseconds at +200 mV, tau(OFF) = 16 microseconds at -80 mV). However, Q(OFF) increases slowly with pulse duration, indicating that a large fraction of ON charge develops with a time course comparable to that of I(K) activation. The slow onset of this gating charge prevents its detection as a component of I(gON), although it represents approximately 40% of the total charge moved at +140 mV. The decay of I(gOFF) is slowed after depolarizations that open mSlo channels. Yet, the majority of open channel charge relaxation is too rapid to be limited by channel closing. These results can be understood in terms of the allosteric voltage-gating scheme developed in the preceding paper (Horrigan, F.T., J. Cui, and R.W. Aldrich. 1999. J. Gen. Physiol. 114:277-304). The model contains five open (O) and five closed (C) states arranged in parallel, and the kinetic and steady-state properties of mSlo gating currents exhibit multiple components associated with C-C, O-O, and C-O transitions.
Orderi elations in Human and Machine Planning ’

Analytical results from AI planning research provide the motivation for this experimental study of ordering relationships in human planning. We examine timings of humans performing specific tasks from the AI planning literature and present evidence that normal human planners, like “state of the art” AI planning systems, use partial-order plan representations. We also describe ongoing experiments that are designed to shed light on the plan representations used by children and by adults with planning deficits due to brain damage. Several points of interest for collaboration between AI scientists and neuropsychologists are noted, as are impacts that we feel this research may have on future work in AI planning.
Effective Classification Using a Small Training Set Based on Discretization and Statistical Analysis

This work deals with the problem of producing a fast and accurate data classification, learning it from a possibly small set of records that are already classified. The proposed approach is based on the framework of the so-called Logical Analysis of Data (LAD), but enriched with information obtained from statistical considerations on the data. A number of discrete optimization problems are solved in the different steps of the procedure, but their computational demand can be controlled. The accuracy of the proposed approach is compared to that of the standard LAD algorithm, of support vector machines and of label propagation algorithm on publicly available datasets of the UCI repository. Encouraging results are obtained and discussed.
DIGTable : A Tabletop Simulation System for Disaster Education

We introduce DIGTable, an interactive disaster simulation system for disaster education. This system incorporates a tabletop tangible user interface and a digital pen input to provide a wide range of users with a collaborative and easy-to-use learning environment. Users can interact with the map or GIS (Geographical Information System) data to learn more about their towns. Likewise, through natural interaction with the physical tools on the table, users can explore disaster evacuation scenarios based on simulation.
Room‐Temperature Nanosoldering of a Very Long Metal Nanowire Network by Conducting‐Polymer‐Assisted Joining for a Flexible Touch‐Panel Application

As an alternative to the brittle and expensive indium tin oxide (ITO) transparent conductor, a very simple, room‐temperature nanosoldering method of Ag nanowire percolation network is developed with conducting polymer to demonstrate highly flexible and even stretchable transparent conductors. The drying conducting polymer on Ag nanowire percolation network is used as a nanosoldering material inducing strong capillary‐force‐assisted stiction of the nanowires to other nanowires or to the substrate to enhance the electrical conductivity, mechanical stability, and adhesion to the substrate of the nanowire percolation network without the conventional high‐temperature annealing step. Highly bendable Ag nanowire/conducting polymer hybrid films with low sheet resistance and high transmittance are demonstrated on a plastic substrate. The fabricated flexible transparent electrode maintains its conductivity over 20 000 cyclic bends and 5 to 10% stretching. Finally, a large area (A4‐size) transparent conductor and a flexible touch panel on a non‐flat surface are fabricated to demonstrate the possibility of cost‐effective mass production as well as the applicability to the unconventional arbitrary soft surfaces. These results suggest that this is an important step toward producing intelligent and multifunctional soft electric devices as friendly human/electronics interface, and it may ultimately contribute to the applications in wearable computers.
On the application of SIMS to study the oxidation mechanisms of alumina formers

Abstract Secondary ion mass spectrometry (SIMS) is widely used to investigate the oxidation mechanism of alumina formers, being various MeCrAl (Me=Fe, Ni, Co) alloys and β-NiAl intermetallic compound. Frequently, it is combined with dedicated oxidation exposures, mostly in atmospheres containing different amounts of oxygen tracer (18O2) in order to investigate the scale growth mechanism. However, there are several practical aspects which have to be taken into account during planning the oxidation experiments as well as during interpretation of their results in order to avoid misleading conclusions. In particular, the effects related to the formation of non-uniform scales as well as to the relationship between the exposure conditions and the scale microstructure and morphology at various stages of its growth should be dealt with. This paper discusses the implications of sputtering process with respect to elemental in-depth distribution profiling and the results of the oxidation mechanism investigation of various alumina formers by means of SIMS. It is shown that the obtained shapes of the SIMS profiles and images strongly depend on the choice of the exposure conditions and on the analysis parameters, including the spatial resolution. The exposure conditions are related to the scale microstructure and morphology, the evolution of which occurs during the oxidation process. Formation of duplex alumina scale is reported which comprises an inner more compact sub-layer and an outer ridged and less-compact sub-layer.
Application of Statistics of Extreme Values for Inclusions in Stainless Steel on Different Stages of Steel Making Process

A statistics of extreme values was applied to determine the largest inclusion sizes in the Type 304 stainless steel. The samples taken from a tundish, slab and hot rolled steel in one heat were examined by using a two dimensional observation of inclusions on a metal cross section. It was found that the molten steel sample contained two different types of inclusions, which were deoxidation products (SiO2–CaO– MgO–Al2O3) and reoxidation products (SiO2–MnO–Cr2O3). As a result, the extreme value distribution (EVD) for different types of inclusions in the melt has two different slopes. Meanwhile, the inclusions in the slab sample provided a good linearity in one EVD. Moreover, the correlation coefficients of the regression lines for both the slab and rolled steel samples increased significantly with an increased number of measurements from 40 to 80 unit areas. It was found also that the EVD data for fractured inclusions on a parallel cross section of rolled steel agreed satisfactorily well with that for the initial spherical inclusions in the slab sample. Based on the geometrical considerations of inclusion deformation and fracture during hotrolling, the maximum length of fractured inclusions in rolled steel can be estimated reasonably well from the EVD for initial undeformed inclusions in the slab sample.
An approach to measuring semantic similarity and relatedness between concepts in an ontology

Semantic similarity and relatedness are applied more and more extensively in many fields, such as in Artificial Intelligence, Semantic Web and Knowledge Management. In this paper, we propose a comprehensive metric of similarity, a method of relatedness measure and a comprehensive degree measure that combines semantic similarity and relatedness between two concepts. Then we compare the proposed metrics with other classic similarity/relatedness metrics based on a benchmark data set and WordNet 3.0. The experimental results demonstrate that the proposed approach outperforms other classical computational approaches. The comprehensive degree metric gives the highest correlation value which is 0.913, and the semantic similarity measure obtains the second-highest correlation value which is 0.823 with a benchmark based on human similarity judgements.
Cyber Threat Trend Analysis Model Using HMM

Prevention is normally recognized as one of the best defense strategy against malicious hackers or attackers. The desire of deploying better prevention mechanisms has motivated many security researchers and practitioners, who are studies threat trend analysis models. However, threat trend is not directly revealed from the time-series data because the trend is implicit in its nature. Besides, traditional time-series analysis, which predicts the future trend pattern by relying exclusively on the past trend pattern, is not appropriate for predicting a trend pattern in dynamic network environments (e.g., the Internet). Thus, supplemental environmental information is required to uncover a trend pattern from the implicit (or hidden) raw data. In this paper, we propose cyber threat trend analysis model using hidden Markov model (HMM) by incorporating the supplemental environmental information into the trend analysis.
Supporting best-effort traffic with fair service curve

While packet fair queuing (PFQ) algorithms can provide per-flow end-to-end delay guarantees for real-time traffic or protection among competing best-effort traffic, they have two important limitations. The first one is that, since only one parameter (a weight) is used to allocate resource for each flow, there is a coupling between delay and bandwidth allocation. When used for real-time traffic, this can result in network under-utilization. The second and less well known limitation is that, when used for best-effort traffic, PFQ algorithms favor throughput-oriented applications such as FTP over delay-sensitive bursty applications such as WWW, and telnet. This is due to the memory-less instantaneous fairness property of PFQ algorithms. In a previous study, we proposed the fair service curve (FSC) algorithm which enables more flexible delay and bandwidth allocation for real-time traffic through the use of non-linear service curves. In this paper, we show that, when used for best-effort traffic, FSC can improve performance of delay-sensitive bursty applications without negatively affecting the performance of throughput-oriented applications.
The product of the spindle formation gene sad1+ associates with the fission yeast spindle pole body and is essential for viability

Spindle formation in fission yeast occurs by the interdigitation of two microtubule arrays extending from duplicated spindle pole bodies which span the nuclear membrane. By screening a bank of temperature-sensitive mutants by anti-tubulin immunofluorescence microscopy, we previously identified the sad1.1 mutation (Hagan, I., and M. Yanagida. 1990. Nature (Lond.). 347:563-566). Here we describe the isolation and characterization of the sad1+ gene. We show that the sad1.1 mutation affected both spindle formation and function. The sad1+ gene is a novel essential gene that encodes a protein with a predicted molecular mass of 58 kD. Deletion of the gene was lethal resulting in identical phenotypes to the sad1.1 mutation. Sequence analysis predicted a potential membrane-spanning domain and an acidic amino terminus. Sad1 protein migrated as two bands of 82 and 84 kD on SDS-PAGE, considerably slower than its predicted mobility, and was exclusively associated with the spindle pole body (SPB) throughout the mitotic and meiotic cycles. Microtubule integrity was not required for Sad1 association with the SPB. Upon the differentiation of the SPB in metaphase of meiosis II, Sad1-staining patterns similarly changed from a dot to a crescent supporting an integral role in SPB function. Moderate overexpression of Sad1 led to association with the nuclear periphery. As Sad1 was not detected in the cytoplasmic microtubule-organizing centers activated at the end of anaphase or kinetochores, we suggest that Sad1 is not a general component of microtubule-interacting structures per se, but is an essential mitotic component that associates with the SPB but is not required for microtubule nucleation. Sad1 may play a role in SPB structure, such as maintaining a functional interface with the nuclear membrane or in providing an anchor for the attachment of microtubule motor proteins.