Miracle-dz/UniFAR-FTUs huggingface dataset:
ON THE IJNEARIZED DYNAMICS OF TWO-DIMENSIONAL BUBBLY FLOWS OVER WA VE-SHAPED SURFACES

In the last decades the technological importance or bubbly flows has generated considerable efforts to achieve a better understanding of their properties, [l],[2]. However, the presence or two interacting phases so much increases the complexity or the problem that a satisfactory mathematical model of these fiows has been possible only in special cases under fairly restrictive simplifying assumptions. The main purpose of the present note is to investigate the effects due to the inclusion or bubble dynamic response in two-dimensional fiows over wave-shaped surfaces. The earlier studies of bubbly fiows based on space averaged equations tor the mixture in the absence or relative motion between the two phases, [5], [6], do not consider bubble dynamic effects. This approach simply leads to an equivalent compressible homogeneous medium and has been used to analyze the behaViour or one-dimensional bubbly fiows through converging-diverging nozzles. In order to account for bubble dynamic response, in a classical paper by Foldy, [7], each individual bubble is described as a randomly distributed point scatterer. Assuming that the system is ergodic, the collective etrect of bubble dynamic response on the flow is then obtained by taking the ensemble average over all possible configurations. An alternative way to account for bubble dynamic effects would be to include the RayleighPlesset equation in the space averaged equations. Both methods have been successfully applied to describe the propagation or one-dimensional perturbances through liquids containing small gas bubbles, [B], [9], [10], [11]. However, because of their complexity, there are not many reported examples of the application to specific fl.ow geometries of the space averaged equations which include the effects of bubble response, [12]. In an earlier note, [ 13], we considered the one-dimensional time dependent linearized dynamics or a spherical cloud of bubbles. The results clearly show that the motion of the cloud is critically controlled by bubble dynamic effects. Specifically, the dominating phenomenon consists of the combined response of the bubbles to the pressure in the surrounding liquid, which results in volume changes leading to a global accelerating velocity field. Associated with this velocity field is a pressure gradient which in turn determines the pressure encountered by each individual bubble in the mixture.
Application of high-throughput DNA sequencing technology in forensic genetics

The turn of the 20th and 21st centuries marks the beginning of high-throughput DNA sequencing methods, which, owing to increasing efficiency and gradual cost reduction, have led to the revolutionization of biomedical research. This article discusses the most popular next generation sequencing technologies and their practical application in forensic genetic analysis.
Opportunities and Challenges in Repeated Revisions to Pull-Requests: An Empirical Study

Background: The Pull-Request (PR) model is a widespread approach adopted by open source software (OSS) projects to support collaborative software development. However, it is often challenging to continuously evaluate and revise PRs in several iterations of code reviewsinvolving technical and social aspects. Aim: Our objective is twofold: identifying best practices for effective collaboration in continuous PR improvement and uncovering problems that deserve special attention to improve collaboration efficiency and productivity. Method: We conducted a mixed-methods empirical study of repeatedly revised PRs (i.e. those that have undergone a high number of revisions). Historical trace data of five long-lived popular GitHub projects were used for manual investigation of practices for requesting changes to PRs and reasons for nonacceptance of repeatedly revised PRs. Surveys of OSS practitioners were conducted to evaluate the results of manual analysis and to provide additional insights into developers' willingness regarding PR revisions and factors causing avoidable revisions in practice. Results: The main results of our research were as follows: (1) We identified 15 code review practices for requesting changes to PRs, among which practices with respect to explaining the reasoning behind requested changes and tracking the progress of PR review and revision were undervalued by reviewers; (2) While submitters can in general undergo 1-5 rounds of revisions, they are willing to offer more revisions when they are in a friendly community and receive helpful feedback; (3) We revealed 11 factors causing avoidable revisions regarding to reviewers' feedback, code review policy, pre-submission issues, and implementation of new revisions; and (4) Nonacceptance of repeatedly revised PRs was due mainly to inactivity of submitters or reviewers and being superseded for better maintenance. Finally, based on these findings, we proposed recommendations and implications for OSS practitioners and tool designers to facilitate efficient collaboration in PR revisions.
Radiance-To-Reflectance Maximum Likelihood Classification

Many analysis algorithms for high-dimensional remote sensing data require that the remotely sensed radiance spectra be transformed to approximate reflectance to allow comparison with a library of laboratory reflectance spectra. In maximum likelihood classification, however, the remotely sensed spectra are compared to training samples, thus a transformation to reflectance may or may not be helpful. The effect of several radiance-to-reflectance transformations on maximum likelihood classification accuracy is investigated in this paper. We show that the empirical line approach, LOWTRAN7, flat-field correction, single spectrum method, and internal average reflectance are all non-singular affine transformations, and that non-singular affine transformations have no effect on discriminant analysis feature extraction and maximum likelihood classification accuracy. (An affine transformation is a linear transformation with an optional offset.) Since the Atmosphere Removal Program (ATREM) and the log residue method are not affine transformations, experiments with Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data were conducted to determine the effect of these transformations on maximum likelihood classification accuracy. The average classification accuracy of the data transformed by ATREM and the log residue method was slightly less than the accuracy of the original radiance data. the radiance-to-reflectance direct comparison of remotely sensed spectra with laboratory reflectance spectra, they can be quite useful in labeling the training samples required by maximum likelihood classification, but these transformations have only a slight effect or no effect at all on discriminant analysis and maximum likelihood classification accuracy.
Retooling for Success: A Case Study of VoIP Implementation to Improve Customer Service at a Midwestern Financial Services Office

This article presents a case study of the acquisition of a Voice over Internet Protocol (VoIP) system to replace an outdated telephone system at a Midwestern financial services company. In the Midwest retail office of ABC Financial Services, the old Private Branch Exchange (PBX) phone system was incapable of handling customer inquiries during the busy tax return season. The inefficient systems exposed the organization to missed and delayed calls, which lead to a considerable number of customer complaints and lost revenue. Guided by the systematic approach of technology retooling, computer engineers followed the steps of problem diagnosis, analysis of competing solutions, implementation, and assessment of the VoIP system as the replacement telecommunications platform. System performance and evaluation data were collected during and after system implementation. Assessment of the new VoIP system demonstrated improved availability, speed, and reliability of the information provided to customers. New functionalities, such as customer inquiry of the database, provided through the VoIP system pushed the self-service adoption to a record high level. The system implementation also fosters an updated IT plan that will help this organization chart its business strategy for future years.
Evaluating multimedia features and fusion for example-based event detection

Multimedia event detection (MED) is a challenging problem because of the heterogeneous content and variable quality found in large collections of Internet videos. To study the value of multimedia features and fusion for representing and learning events from a set of example video clips, we created SESAME, a system for video SEarch with Speed and Accuracy for Multimedia Events. SESAME includes multiple bag-of-words event classifiers based on single data types: low-level visual, motion, and audio features; highlevel semantic visual concepts; and automatic speech recognition. Event detection performance was evaluated for each event classifier. The performance of low-level visual and motion features was improved by the use of difference coding. The accuracy of the visual concepts was nearly as strong as that of the low-level visual features. Experiments with a number of fusion methods for combining the event detection scores from these classifiers revealed that simple fusion methods, such as arithmetic mean, perform as well as or better than other, more complex fusion methods. SESAME’s G. K. Myers (B) · R. Nallapati · J. van Hout · S. Pancoast SRI International (SRI), 333 Ravenswood Avenue, Menlo Park, CA 94025, USA e-mail: gregory.myers@sri.com R. Nevatia · C. Sun Institute for Robotics and Intelligent Systems, University of Southern California (USC), Los Angeles, CA 90089-0273, USA A. Habibian · D. C. Koelma · K. E. A. van de Sande · A. W. M. Smeulders · C. G. M. Snoek University of Amsterdam (UvA), Science Park 904, P.O. Box 94323, Amsterdam 1098 GH, The Netherlands R. Nallapati IBM Thomas J Watson Research Center, 1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA performance in the 2012 TRECVID MED evaluation was one of the best reported.
origin, gradual accumulation and functional divergence of heat shock factor

Gene homology helps us understand gene function and speciation. The number of plant 70 genes and species registered in public data-banks is continuously increasing. It is useful 71 to associate homologous genes of various plants to better understand plant speciation. We designed the Gcorn plant database for the retrieval of information on homology and 73 evolution of a plant gene of interest. Amino acid sequences of 73 species (62 land plants 74 and 11 green algae), containing 2,682,261 sequences, were obtained from the RefSeq 75 database. Based on BLAST searches between these sequences, homologous genes were 76 grouped at various thresholds of homology indices devised by the authors. To show 77 functional and evolutionary traits of a gene of interest, a phylogenetic tree connecting 78 genes with high homology indices, and line charts of the numbers of genes with various 79 homology indices are depicted. In addition, such indices are projected on a network 80 graph in which species studied are connected based on the ratios of homologous genes, 81 and on a phylogenetic tree for species based on NCBI Taxonomy. Gcorn plant provides 82 information on homologous genes at various virtual time points along with speciation in 83 plants. Gcorn plant is an open-access database available for academic use at 84
influence planes in through

Understanding the ingredients (APIs), in particular insight into the relationships between crystal structure and the thermodynamics of polymorph stability, is vital for the production of more stable drugs and better therapeutics, and for the economics of the pharmaceutical industry in general. In this paper, we report a detailed study of the structure-property relationships among the polymorphs of the model API, Sulfamerazine. Detailed experimental characterization using synchrotron radiation is complemented with computational modelling of the lattice-dynamics and mechanical properties, to study the origin of differences in millability and to investigate the thermodynamics of the phase equilibria. Good agreement is observed between calculated phonon density of states curves and mid-infrared and Raman spectra. The presence of slip planes, evident in the low-frequency lattice vibrations, explains the higher millability of Form I compared to Form II. Energy/volume curves for the three polymorphs, together with the temperature dependence of the thermodynamic free energy computed from the phonon frequencies, explains why Form II converts to Form I at high temperature, whereas Form III is a rare polymorph which is difficult to isolate. Moreover, the combined experimental and theoretical approach employed here should be generally applicable to the study of other systems which exhibit polymorphism, potentially helping to deliver better, more active forms of drugs at lower costs.
CAHIER DU LAMSADE

We study a variation of the vertex cover problem where it is required that the graph induced by the vertex cover is connected. We prove that this problem is polynomial in chordal graphs, has a PTAS in planar graphs, is APX -hard in bipartite graphs and is 5/3-approximable in any class of graphs where the vertex cover problem is polynomial (in particular in bipartite graphs). Finally, dealing with hypergraphs, we study the complexity and the approximability of two natural generalizations.
Sensor networks powered by solar energy using multiple radio channels

Future Cities is a project implemented in the city of Porto which aims to transform this city in an urban-scale living lab, where new technologies, services and products, can be developed, tested and evaluated. One of the challenges still unsolved is the creation of a low-cost solar powered video-surveillance systems based in Wi-Fi, to cover large unconnected areas such as parks or beaches. The nodes of this system will possess low resources in terms of energy, processing, and memory. Due to this, and also due to the overall goal, this system can be classified as a Wireless Multimedia Sensor Network. The main limitations of this system will be its capacity and its lifetime. In this report are presented the solutions that are considered state of the art, to surpass the limitations regarding the capacity and lifetime of this system. There are also exposed a set of computer simulations that allow to analyse in detail its operation. At last is presented the proposed solution to overcome the limitations imposed by the system to be implemented. This solution will use multiple radio channels to simultaneously increase the network capacity and its lifetime.
Towards the QED beta function and renormalons at 1 = N 2 f and 1 = N 3 f

We determine the 1 =N 2 f and 1 =N 3 f contributions to the QED beta function stemming from the closed set of nested diagrams. At the order of 1 =N 2 f , we discover a new logarithmic branch cut closer to the origin when compared to the 1 =N f results. The same singularity location appears at 1 =N 3 f , and these correspond to a UV renormalon singularity in the finite part of the photon two-point function.
Stochastic Petri-net models to predict the degradation of ceramic claddings

ABSTRACT A stochastic Petri-net formalism is proposed to predict the degradation of ceramic claddings over time in order to understand how different environmental exposure conditions contribute to the overall degradation of these claddings. For that purpose, the degradation condition of 195 ceramic claddings located in Lisbon, Portugal, is evaluated through in situ visual inspections. In the first part of the study, a stochastic deterioration Petri-net model is proposed for the entire sample. In the second part, the original sample is divided according to the environmental exposure conditions, evaluating the influence of these conditions on the deterioration process of ceramic claddings. Four main degradation agents are analyzed: exposure to moisture; distance from the sea; orientation; and wind–rain action. The results reveal that Petri nets can accurately describe the deterioration process of ceramic claddings, providing relevant information regarding the performance of these claddings through their life cycle and according to the environmental exposure conditions to which they are subject. These results are extremely relevant for different practitioners: the approach allows the adoption of more sustainable and durable solutions at the design stage, as well as improving the durability of the ceramic claddings by performing optimized maintenance plans and strategies.
An extended Max-Min Ant System evaluated on the Split Delivery Weighted Vehicle Routing Problem

This thesis discusses a relatively new type of vehicle routing problems, the Split Delivery Weighted Vehicle Routing Problem (SDWVRP), where both split deliveries of goods are allowed and the vehicle weight is included in the objective function. The SDWVRP is a NP-hard problem, which is why it is solved by a Max-Min Ant System (MMAS) heuristic, a more recent development in ant colony optimization. The goal of this thesis is ﬁrst of all to revise earlier obtained MMAS results for the SDWVRP and compare them with related vehicle routing problems. Then, a candidate list and a 2-opt local search heuristic are performed on the MMAS algorithm to investigate whether cost savings are possible. Computational results indicate that combining both a candidate list and a 2-opt algorithm accomplish a cost reduction of 9.8% on average for the SDWVRP. Furthermore, the diﬀerences in results between the MMAS for the SDWVRP and the WVRP, which is the same model without the possibility for split deliveries, are small
Value-Driven IT Project Portfolio Management: Tool-Based Value-Driven IT Project Portfolio Management: Tool-Based Scoring, Selection, and Scheduling Scoring, Selection, and Scheduling

Managing IT project portfolios is a challenge because of IT projects' complexity, dynamics, and uncertainty. Many IT projects exceed resources or time frames and do not reach their value-driven goals. A continuous scoring, selection, and scheduling of IT project proposals is thus essential to build an optimal portfolio. It has a significant impact on value contribution, strategic direction, goal achievement, and competitive advantages. We quantify an IT project's urgency, strategy, efficiency, risk, and complexity as important evaluation and scoring criteria. To support top management decision makers in the IT project portfolio management process, we outline a combination of an evaluation approach with an optimization model. We develop a prototype decision support system to automate and simplify this process and demonstrate its applicability. Our recommendations address both theory and practice, improve IT project portfolio management, support value creation, and goal achievement.
Axial Piston Pump Fault Diagnosis with Teager Energy Operator Demodulation Using Improved Clustering-based Segmentation and L-Kurtosis

： Periodic impulses in vibration signals are useful to the detection of faults in axial piston pumps. However, in the working condition, the vibration signals of axial piston pump are often contaminated by heavy background noises and natural periodic impulses caused by the reciprocating movement of pistons. Therefore, extracting fault features is one of the most difficult tasks to identify faults in axial piston pumps. To solve this problem, the Teager energy operator(TEO) demodulation using improved clustering-based segmentation and L-Kurtosis method is proposed. Unlike the traditional clustering-based segmentation method, the improved version is a two-cycle one ， it can extract the fault features out of the background noise and nature periodic impulse efficiently. L-Kurtosis is similar to kurtosis and easy to recognize impulses but is not like kurtosis to be sensitive to the outliers. The TEO demodulation is more suitable to extract faults than the traditional Hilbert demodulation, because the calculation of TEO is very simple. To illustrate the feasibility and performance of the present method, simulations and experimental data investigations are performed and the results are compared with the traditional clustering-based segmentation method. The results show that the proposed method enables the efficient detect cylinder fault and bearing fault in axial piston pumps.
0.36 V PGA combining single-stage OTA and input negative transconductor for low energy RF receivers

An ultra-low voltage and ultra-low power programmable gain amplifier (PGA) using a closed-loop single-stage operational transconductance amplifier (OTA) and an input negative transconductor is proposed. The circuits are implemented in a 180 nm CMOS process using two stacked transistors and PMOS bulk forward bias to operate well down to 0.36 V, to be robust to PVT variations and to reach the bandwidth of low energy RF receivers. The PGA measured results at 0.36 V show a programmable voltage gain from 0.2 to 18.4 dB, 15.4 μW power dissipation, 0.98 MHz bandwidth and 0.0243 mm 2 area.
Deep Variational Network Toward Blind Image Restoration.

Blind image restoration (IR) is a common yet challenging problem in computer vision. Classical model-based methods and recent deep learning (DL)-based methods represent two different methodologies for this problem, each with its own merits and drawbacks. In this paper, we propose a novel blind image restoration method, aiming to integrate both the advantages of them. Specifically, we construct a general Bayesian generative model for the blind IR, which explicitly depicts the degradation process. In this proposed model, a pixel-wise non-i.i. d. Gaussian distribution is employed to fit the image noise. It is with more flexibility than the simple i.i. d. Gaussian or Laplacian distributions as adopted in most of conventional methods, so as to handle more complicated noise types contained in the image degradation. To solve the model, we design a variational inference algorithm where all the expected posteriori distributions are parameterized as deep neural networks to increase their model capability. Notably, such an inference algorithm induces a unified framework to jointly deal with the tasks of degradation estimation and image restoration. Further, the degradation information estimated in the former task is utilized to guide the latter IR process. Experiments on two typical blind IR tasks, namely image denoising and super-resolution, demonstrate that the proposed method achieves superior performance over current state-of-the-arts. The source code is available at https://github.com/zsyOAOA/VIRNet.
Patch Selection for Melanoma Classification

In medical image processing, the most important information is often located on small parts of the image. Patch-based approaches aim at using only the most relevant parts of the image. Finding ways to auto-matically select the patches is a challenge. In this paper, we investigate two criteria to choose patches: entropy and a spectral similarity criterion. We perform experiments at diﬀerent levels of patch size. We train a Convolutional Neural Network on the subsets of patches and analyze the training time. We ﬁnd that, in addition to requiring less preprocessing time, the classiﬁers trained on the datasets of patches selected based on entropy converge faster than on those selected based on the spectral similarity criterion and, furthermore, lead to higher accuracy. Moreover, patches of high entropy lead to faster convergence and better accuracy than patches of low entropy.