Miracle-dz/UniFAR-FTUs huggingface dataset:
Style Based Search Using RNN for Searching Web Design Gallery

Current search engines are largely text based, and the text vocabulary that they use is a poor match for the style based concerns. Search engines return pages whose content relates semantically to the keyword query; they cannot be used for searches along stylistic attributes such as “pages with funny backgrounds” or “pages that look professional” etc. We propose a system1 that will allow users to query on stylistic attributes. The search query could be either language-keyword based or it could be based on examples i.e. a user can select a design and ask the system to show other examples in the corpus that are similar (or dissimilar) to the designs in the query. For example, a user can select a a web page, and query the system for other pages with similar (or dissimilar) layout and design. In this paper we describe how a Recursive Neural Network (RNN) can be used to build such systems. Given a set of training examples consisting of web pages and the corresponding style label distributions, we learn the parameters of the system via a back-propagation neural network which is applied recursively to each node in the binary tree representation of the web page. Once these parameters are learned, the system can predict the style distribution for any given web page. Example-based querying can be implemented on top of this representation. A comparative study shows that RNN works better than other ML techniques in context of this problem. Author
How to Keep Track of Your Network Configuration

In this paper we present extensions for the Ined network editor allowing us to discover the structure of an IP network automatically. The discovering algorithm is based on an active probing technique that fits well with our interactive editor. We have chosen a multi-threaded approach in order to minimize response times which seems reasonable in fast networks but may fail when run over slow serial links. A set of utilities have been designed to lay out the discovered network based on additional information found in the Domain Name System.
Prediction of activity energy expenditure using accelerometers in children.

PURPOSE To validate two accelerometer-based activity monitors as measures of children's physical activity using energy expenditure as the criterion measure. METHODS Actiwatch (AW) and Actical (AC) activity monitors were validated against continuous 4-h measurements of energy expenditure (EE) in a respiratory room calorimeter and 1-h measurements in an exercise laboratory using a portable calorimeter and treadmill in 32 children, ages 7-18 yr. The children performed structured activities including basal metabolic rate (BMR), playing Nintendo, using a computer, cleaning, aerobic exercise, ball toss, treadmill walking, and running. Equations were developed to predict activity energy expenditure (AEE = EE - BMR), and physical activity ratio (PAR = EE/BMR) from a power function of AW or AC, and age, sex, weight, and height. Thresholds were determined to categorize sedentary, light, moderate, and vigorous levels of physical activity. RESULTS Activity counts accounted for the majority of the variability in AEE and PAR, with small contributions of age, sex, weight, and height. Overall, AW equations accounted for 76-79% and AC equations accounted for 81% of the variability in AEE and PAR. Relatively wide 95% prediction intervals suggest the accelerometers are best applied to groups rather than individuals. Sensitivities were higher for the vigorous threshold (97%) than the other thresholds (86-92%). Specificities were on the order of 66-73%. The positive predictive values for sedentary, light, moderate, and vigorous categories were 80, 66, 69, and 74% for AW, respectively, and 81, 68, 72, 74% for AC, respectively. CONCLUSION Both accelerometer-based activity monitors provided valid measures of children's AEE and PAR, and can be used to discriminate sedentary, light, moderate, and vigorous levels of physical activity but require further development to accurately predict AEE and PAR of individuals.
Therapeutics , Targets , and Chemical Biology p 53 Modulates Acquired Resistance to EGFR Inhibitors and Radiation

There is presently great interest in mechanisms of acquired resistance to epidermal growth factor receptor (EGFR) inhibitors that are now being used widely in the treatment of a variety of common human cancers. To investigate these mechanisms, we established EGFR inhibitor–resistant clones from non–small cell lung cancer cells. A comparative analysis revealed that acquired resistance to EGFR inhibitors was associated consistently with the loss of p53 and cross-resistance to radiation. To examine the role of p53, we first knocked down p53 in sensitive parental cells and found a reduction in sensitivity to both EGFR inhibitors and radiation. Conversely, restoration of functional p53 in EGFR inhibitor–resistant cells was sufficient to resensitize them to EGFR inhibitors or radiation in vitro and in vivo. Further studies indicate that p53 may enhance sensitivity to EGFR inhibitors and radiation via induction of cell-cycle arrest, apoptosis, and DNA damage repair. Taken together, these findings suggest a central role of p53 in the development of acquired resistance to EGFR inhibitors and prompt consideration to apply p53 restoration strategies in future clinical trials that combine EGFR inhibitors and radiation. Cancer Res; 71(22); 7071–9. 2011 AACR.
Role of Wnt signaling in the biology of the periodontium

Continuously erupting teeth have associated with them a continuously regenerating periodontal ligament, but the factors that control this amazing regenerative potential are unknown. We used genetic strategies to show that the periodontal ligament arises from the cranial neural crest. Despite their histological similarity, the periodontal ligament of continuously erupting incisor teeth differs dramatically from the periodontal ligament of molar teeth. The most notable difference was in the distribution of Wnt responsive cells in the incisor periodontal ligament, which coincided with regions of periodontal ligament cell proliferation. We discuss these findings in the context of dental tissue regeneration. Developmental Dynamics 239:140–147, 2010. © 2009 Wiley‐Liss, Inc.
Interactive Shape Interpolation through Controllable Dynamic Deformation

In this paper, we introduce an interactive approach to generate physically based shape interpolation between poses. We extend linear modal analysis to offer an efficient and robust numerical technique to generate physically-plausible dynamics even for very large deformation. Our method also provides a rich set of intuitive editing tools with real-time feedback, including control over vibration frequencies, amplitudes, and damping of the resulting interpolation sequence. We demonstrate the versatility of our approach through a series of complex dynamic shape interpolations.
Intercarrier Interference Analysis for High-Speed Trains Based on Broadband Channel Measurements

This letter presents an analysis of intercarrier interference (ICI) in high-speed trains. The ICI is caused by the motion of the receiver together with the carrier frequency offset (CFO). It results in a degradation of the reliability of the OFDM transmission. The analysis is based on a channel sounding measurement campaign for cellular broadband wireless communications with high-speed trains that was carried out in the context of the CORRIDOR project. The considered scenario corresponds to a railway deployed network, where the base station is located directly next to the railway line. We present the ICI power obtained with the measurement campaign and some theoretical results for a simple channel model that captures the main effects observed in the measurements.
On bootstrapping recommender systems

Recommender systems perform much better on users for which they have more information. This gives rise to a problem of satisfying users new to a system. The problem is even more acute considering that some of these hard to profile new users judge the unfamiliar system by its ability to immediately provide them with satisfying recommendations, and may be the quickest to abandon the system when disappointed. Rapid profiling of new users is often achieved through a bootstrapping process - a kind of an initial interview - that elicits users to provide their opinions on certain carefully chosen items or categories. This work offers a new bootstrapping method, which is based on a concrete optimization goal, thereby handily outperforming known approaches in our tests.
Effects of constraint‐induced movement therapy in young children with hemiplegic cerebral palsy: an adapted model

The aim of this study was to evaluate the effects of a modified version of constraint‐induced (CI) movement therapy on bimanual hand‐use in children with hemiplegic cerebral palsy (CP; age range 18mo to 4y) and to make a comparison with conventional paediatric treatment. Twenty‐one children (13 females, eight males) completed the CI therapy programme and 20 children (12 males, eight females) served as a control group. Children in the CI therapy group were expected to wear a restraint glove for 2 hours each day over a period of 2 months. The training was based on principles of motor learning used in play and in motivational settings. To evaluate the effect of treatment, the Assisting Hand Assessment (AHA) was used. Assessments took place on three occasions: at onset, after 2 months, and 6 months after the first assessment. A significant interaction was found between group and AHA measure (ANOVA, F2,74=5.64, p=0.005). The children who received CI therapy improved their ability to use their hemiplegic hand significantly more than the children in the control group after 2 months, i.e. after treatment. Effect size was high after treatment and remained medium at 6 months. As the treatment was tailored to each child's capacity and interests, little frustration was experienced by the children.
Oridonin induces the apoptosis of metastatic hepatocellular carcinoma cells via a mitochondrial pathway

The selective induction of apoptosis is a promising strategy for cancer therapy. The antitumor effects of oridonin have been reported in several types of malignant tumors. However, the effects of oridonin on MHCC97-H cells, a highly metastatic human hepatocellular carcinoma cell line, have not been reported. The present study aimed to determine the effect of oridonin on the apoptosis of MHCC97-H cells and to identify the underlying molecular mechanisms that are involved. Compared with the untreated control cells, oridonin significantly decreased (P<0.05) cell proliferation in a concentration- and time-dependent manner. Oridonin at concentrations of 12.5, 25, 50 and 100 μM resulted in increased apoptotic Annexin V-positive and propidium iodide-negative cells by 9.5, 15.6, 22.2 and 31.7%, respectively, compared with the control groups (P<0.05). The mitochondrial membrane potential was significantly decreased by 6.0, 12.9, 18.9 and 27.1% in the MHCC97-H cells that were treated with oridonin at concentrations of 12.5, 25, 50 and 100 μM, respectively, for 24 h compared with the control groups (P<0.05). Oridonin increased the activity of caspase-3 and the expression of cleaved caspase-9 and cytochrome c in the cytoplasm and decreased the Bcl-2:Bax ratio in a concentration-dependent manner. The data indicate that oridonin inhibited the proliferation of the MHCC97-H cells by inducing apoptosis via a mitochondrial pathway. This mitochondrial pathway of apoptosis involved a reduction in the mitochondrial membrane potential and the subsequent release of cytochrome c and activation of caspase-3 and -9.
Private random number generation through remote atom entanglement

Random number generation is vital for a wide range of applications, including numerical simulation, gambling, and cryptography. However, verifying the randomness of a bit stream generated by a device is exceedingly difficult. Even if a sequence of numbers passes all of the standard statistical tests, it is often impossible to certify the authenticity of the device and rule out the possibility that an adversary has loaded a predetermined sequence into an internal memory. Recently, it has been shown that the non-local correlations between entangled quantum systems can be used to verify the generation of true random numbers [1, 2]. This insight enables the construction of a private random number generator whose output can be verified as random through the violation of a Bell inequality, without requiring any assumptions about the internal mechanisms of the device.
Influence of Immune Responses in Gene/Stem Cell Therapies for Muscular Dystrophies

Muscular dystrophies (MDs) are a heterogeneous group of diseases, caused by mutations in different components of sarcolemma, extracellular matrix, or enzymes. Inflammation and innate or adaptive immune response activation are prominent features of MDs. Various therapies under development are directed toward rescuing the dystrophic muscle damage using gene transfer or cell therapy. Here we discussed current knowledge about involvement of immune system responses to experimental therapies in MDs.
A robust fine granularity scalability using trellis-based predictive leak

Recently, the MPEG-4 committee has approved the MPEG-4 fine granularity scalability (FGS) profile as a streaming video tool. We propose novel techniques to improve further the temporal prediction at the enhancement layer so that coding efficiency is superior to the existing FGS. Our approach utilizes two parameters, the number of bitplanes, /spl beta/ (0/spl les//spl beta//spl les/maximal number of bitplanes), and the amount of predictive leak, /spl alpha/ (0/spl les//spl alpha//spl les/1), to control the construction of the reference frame at the enhancement layer. Parameters /spl alpha/ and /spl beta/ can be selected for each frame to provide tradeoffs between coding efficiency and error drift. Our approach offers a general and flexible framework that allows further optimization. It also includes several well-known motion-compensated FGS techniques as special cases with particular sets of /spl alpha/ and /spl beta/. We analyze the theoretical advantages when /spl alpha/ and /spl beta/ are used, and provide an adaptive technique to select /spl alpha/ and /spl beta/, which yields an improved performance as compared to that of fixed parameters. An identical technique is applied to the base layer for further improvement. Our experimental results show over 4 dB improvements in coding efficiency using the MPEG-4 testing conditions. Removal of error propagation is demonstrated with several typical channel transmission scenarios.
Regulation of the Bacillus subtilis acetate kinase gene by CcpA

The Bacillus subtilis gene encoding acetate kinase was identified on the basis of sequence similarity to the Escherichia coli ackA gene and to a second E. coli gene closely related to ackA. Insertional inactivation of this region of the B. subtilis chromosome resulted in the disappearance of acetate kinase enzyme activity in cell extracts. The ackA gene was mapped to a site close to the ccpA gene, at 263 degrees. The transcriptional start site for B. subtilis ackA was located 90 bp upstream from the start of the coding region, and expression was increased by growth in the presence of excess glucose. Growth of the AckA- mutant was inhibited by glucose, suggesting that acetate kinase is important for excretion of excess carbohydrate. The stimulation of ackA expression by glucose was blocked in a CcpA- mutant, indicating that CcpA, which is required for glucose repression of certain carbon source utilization genes, including amyE, may also be involved in activation of carbon excretion pathways. Two sequences resembling the amyO operator site were identified upstream of the ackA promoter; removal of this region resulted in loss of glucose activation of ackA expression.
Quantitative studies in software release planning under risk and resource constraints

Delivering software in an incremental fashion implicitly reduces many of the risks associated with delivering large software projects. However, adopting a process, where requirements are delivered in releases means decisions have to be made on which requirements should be delivered in which release. This paper describes a method called EVOLVE+, based on a genetic algorithm and aimed at the evolutionary planning of incremental software development. The method is initially evaluated using a sample project. The evaluation involves an investigation of the tradeoff relationship between risk and the overall benefit. The link to empirical research is two-fold: firstly, our model is based on interaction with industry and randomly generated data for effort and risk of requirements. The results achieved this way are the first step for a more comprehensive evaluation using real-world data. Secondly, we try to approach uncertainty of data by additional computational effort providing more insight into the problem solutions: (i) effort estimates are considered to be stochastic variables following a given probability function; (ii) instead of offering just one solution, the L-best (L > 1) solutions are determined. This provides support in finding the most appropriate solution, reflecting implicit preferences and constraints of the actual decision-maker. Stability intervals are given to indicate the validity of solutions and to allow the problem parameters to be changed without adversely affecting the optimality of the solution.
Singing voice detection in monophonic and polyphonic contexts

In this article, we present an improvement of a previous singing voice detector. This new detector is in two steps. First, we distinguish monophonies from polyphonies. This distinction is based on the fact that the pitch estimated in a monophony is more reliable than the one estimated in a polyphony. We study the short term mean and variance of a confidence indicator; their repartition is modelled with bivariate Weibull distributions. We present a new method to estimate the parameters of these distributions with the moment method. Then, we detect the presence of singing voice. This is done by looking for the presence of vibrato, an oscillation of the fundamental frequency between 4 and 8 Hz. In a monophonic context, we look for vibrato on the pitch. In a polyphonic context, we first make a frequency tracking on the whole spectrogram, and then look for vibrato on each frequency tracks. Results are promising: from a global error rate of 29.7 % (previous method), we fall to a global error rate of 25 %. This means that taking into account the context (monophonic or polyphonic) leads to a relative gain of more than 16 %.
eSBMTools 1.0: enhanced native structure-based modeling tools

MOTIVATION Molecular dynamics simulations provide detailed insights into the structure and function of biomolecular systems. Thus, they complement experimental measurements by giving access to experimentally inaccessible regimes. Among the different molecular dynamics techniques, native structure-based models (SBMs) are based on energy landscape theory and the principle of minimal frustration. Typically used in protein and RNA folding simulations, they coarse-grain the biomolecular system and/or simplify the Hamiltonian resulting in modest computational requirements while achieving high agreement with experimental data. eSBMTools streamlines running and evaluating SBM in a comprehensive package and offers high flexibility in adding experimental- or bioinformatics-derived restraints. RESULTS We present a software package that allows setting up, modifying and evaluating SBM for both RNA and proteins. The implemented workflows include predicting protein complexes based on bioinformatics-derived inter-protein contact information, a standardized setup of protein folding simulations based on the common PDB format, calculating reaction coordinates and evaluating the simulation by free-energy calculations with weighted histogram analysis method or by phi-values. The modules interface with the molecular dynamics simulation program GROMACS. The package is open source and written in architecture-independent Python2. AVAILABILITY http://sourceforge.net/projects/esbmtools/. CONTACT alexander.schug@kit.edu. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Computing the Fréchet distance between simple polygons in polynomial time

We present the first polynomial-time algorithm for computing the Fréchet for a non-trivial class of surfaces: simple polygons. For this, we show that it suffices to consider homeomorphisms that map an arbitrary triangulation of one polygon to the other polygon such that diagonals of the triangulation are mapped to shortest paths in the other polygon.
Modified Adaptive Fuzzy Sliding Mode Controller for Uncertain Nonlinear Systems

In this paper, a modified adaptive fuzzy sliding mode controller for a certain class of uncertain nonlinear systems is presented. We incorporate the fuzzy sliding mode control technique with a modified adaptive fuzzy control technique to design a modified adaptive fuzzy sliding mode controller so that the proposed controller is robust against the unmodeled dynamics and the approximation errors. Firstly, we establish a fuzzy model to describe the dynamic characteristics of the given uncertain nonlinear system. Then, based on the fuzzy model, a fuzzy sliding mode controller is designed. By considering both the information of tracking error and modeling error, the modified adaptive laws for tuning the adjustable parameters of the fuzzy model are derived based on the Lyapunov synthesis approach. Since the modified adaptive laws contain both the tracking error and the modeling error, it implies that the fuzzy model parameters would continuously converge until both the tracking error and modeling error converges to zero. An inverted pendulum control system is simulated to demonstrate the control performance by using the proposed method.
The Witch and the Warrior

This study used frame analysis to explore gendered frames and archetypes in the news coverage of two mass shootings, in which both suspects were White, middle-class university professors: Amy Bishop at the University of Alabama and George Zinkhan at the University of Georgia. Three people were killed in each of the shootings, but the amount of coverage on Bishop exceeded by about four times the amount of news about Zinkhan—a difference whose magnitude can hardly be explained only by the circumstances of the shootings. Although the female professor committed murder in a professional setting, due to dissatisfaction with a career outcome, the coverage focused on her personal life and alleged psychological instability, in line with the archetype of the “Female Monster. ” By contrast, the coverage of Zinkhan's crime, committed in highly personal circumstances—the murder of his wife and two men at a picnic—fit a patriarchal, Othello-like archetype of a man embroiled in a crime of passion, and focused mostly on his successful career, lacking an investigation of past abusive behavior that may have preceded the murder. The news coverage serves to exemplify the societal discourse on women and men who kill.