Miracle-dz/UniFAR-FTUs huggingface dataset:
Stacking with dual bootstrap resampling

S U M M A R Y A new kind of stacking scheme, based on the hypothesis testing of signal significance and coherence, is proposed. The significance of stacked data is evaluated by running two kinds of bootstrap resampling, one for standard bootstrap and the other for preparing noise stacks by scrambling relative time-shifts between traces. This dual bootstrap procedure allows us to formulate a two-sample problem for signal significance, which is shown to be more reliable than standard bootstrap estimates. The statistics of noise obtained in dual bootstrap resampling is also used when assessing the coherence of data with the empirical distribution function, in which the effect of noise is deconvolved by rescaling. Unlike conventional non-linear stacks such as Nth-root stack and phase-weighted stack, the new stack can recover signals even when the signal-to-noise ratio (S/N) is low, and compared to simple linear stack, the number of traces required for unambiguous signal detection is reduced by up to two orders of magnitude. The new scheme, called dual bootstrap stack, could facilitate a range of geophysical data processing when trying to detect subtle signals by stacking low S/N data.
Potrzeba czynnego prowadzenia ewidencji gruntów i budynków

The Land and Property Register (LPR) also called the Cadastre by the legislator should function in accordance with regulations in force, meet expectations of the public and provide universal access to Register data for its users. Beyond any doubt, credibility and usefulness of data in this public register are affected by the manner it is kept, which generally includes active and passive approach. If the LPR is kept in an active manner and constantly up to date, its data is very useful. Passive methods of keeping the LPR render record data irreversibly out of date and unreliable. The principal purpose of the paper is to assess the quality of data of a Land and Property Register and indicate that active keeping of the register is vital from the point of view of a prospective user and recipient of its data. The analysis involved data for the Michałowice commune, Małopolskie Voivodeship. Moreover, the paper suggests and presents a method that may improve validity of this public register.
Are you comfortable doing that?: acceptance studies of around-device gestures in and for public settings

Several research groups have demonstrated advantages of extending a mobile device's input vocabulary with in-air gestures. Such gestures show promise but are not yet being integrated onto commercial devices. One reason for this might be the uncertainty about users' perceptions regarding the social acceptance of such around-device gestures. In three studies, performed in public settings, we explore users' and spectators' attitudes about using around-device gestures in public. The results show that people are concerned about others' reactions. They are also sensitive and selective regarding where and in front of whom they would feel comfortable using around-device gestures. However, acceptance and comfort are strongly linked to gesture characteristics, such as, gesture size, duration and in-air position. Based on our findings we present recommendations for around-device input designers and suggest new approaches for evaluating the social acceptability of novel input methods.
Detection and characterization of exoplanets in high contrast images by the inverse problem approach

Direct imaging of exoplanets provides valuable information about the light they emit, their interactions with their host star environment and their nature. In order to image such objects, advanced data processing tools adapted to the instrument are needed. In particular, the presence of quasi-static speckles in the images, due to optical aberrations distorting the light from the observed star, prevents planetary signals from being distinguished. In this thesis, I present two innovative image processing methods, both based on an inverse problem approach, enabling the disentanglement of the quasi-static speckles from the planetary signals. My work consisted of improving these two algorithms in order to be able to process on-sky images.The first one, called ANDROMEDA, is an algorithm dedicated to point source detection and characterization via a maximum likelihood approach. ANDROMEDA makes use of the temporal diversity provided by the image field rotation during the observation, to recognize the deterministic signature of a rotating companion over the stellar halo. From application of the original version on real data, I have proposed and qualified improvements in order to deal with the non-stable large scale structures due to the adaptative optics residuals and with the remaining level of correlated noise in the data. Once ANDROMEDA became operational on real data, I analyzed its performance and its sensitivity to the user-parameters proving the robustness of the algorithm. I also conducted a detailed comparison to the other algorithms widely used by the exoplanet imaging community today showing that ANDROMEDA is a competitive method with practical advantages. In particular, it is the only method that allows a fully unsupervised detection. By the numerous tests performed on different data set, ANDROMEDA proved its reliability and efficiency to extract companions in a rapid and systematic way (with only one user parameter to be tuned). From these applications, I identified several perspectives whose implementation could significantly improve the performance of the pipeline.The second algorithm, called MEDUSAE, consists in jointly estimating the aberrations (responsible for the speckle field) and the circumstellar objects by relying on a coronagraphic image formation model. MEDUSAE exploits the spectral diversity provided by multispectral data. In order to In order to refine the inversion strategy and probe the most critical parameters, I applied MEDUSAE on a simulated data set generated with the model used in the inversion. To investigate further the impact of the discrepancy between the image model used and the real images, I applied the method on realistic simulated images. At last, I applied MEDUSAE on real data and from the preliminary results obtained, I identified the important input required by the method and proposed leads that could be followed to make this algorithm operational to process on-sky data.
Independent Evolution of Human Immunodeficiency Virus Type 1 env V1/V2 and V4/V5 Hypervariable Regions during Chronic Infection

ABSTRACT Using DNA heteroduplex tracking assays, we characterized human immunodeficiency virus type 1 env V4/V5 genetic populations in multiple blood plasma samples collected over an average of 7 months from 24 chronically infected human subjects. We observed complex and dynamic V4/V5 genetic populations in most subjects. Comparisons of V4/V5 and V1/V2 population changes over the course of the study showed that major shifts in genetic populations frequently occurred in one region but not the other, and these observations were independently confirmed in one subject by single-genome sequencing. These results suggest that the V1/V2 and V4/V5 regions of env often evolve independently during chronic infection.
Bone Marrow-Derived Cells May Not Be the Original Cells for Carcinogen-Induced Mouse Gastrointestinal Carcinomas

Aim It has been reported that bone marrow-derived cells (BMDC) can be original cells of mouse gastric cancers induced by Helicobacter felis (H. felis) infection. However, it is unknown whether BMDCs are also the original cells of mouse gastrointestinal cancers induced by gastric carcinogens N-nitroso-N-methylurea (NMU) and H. felis infection. Methods C57BL/6 recipient mice were initially irradiated with 10Gy X-ray, reconstituted with bone marrow cells from the C57BL/6-Tg (CAG-EGFP) donor mice to label BMDCs with green fluorescence protein (GFP). After 4 weeks of recovery, the bone marrow-transplanted mice were given NMU in drinking water (240 ppm) and subsequently infected with H. felis by gavage. Eighty weeks later, all mice were euthanized for pathological examination. The BMDCs expressing GFP were detected in tissues using direct GFP fluorescence confocal microscopy analysis and immunohistochemistry staining (IHC) assays. Results Neoplastic lesions were induced by NMU treatment and/or H. felis infection at the antrum of the glandular stomach and small intestine. In the direct GFP fluorescence confocal assay, GFP(+) epithelial cell cluster or glands were not observed in these gastrointestinal tumors, however, most GFP(+) BMDCs sporadically located in the tumor stromal tissues. Some of these GFP(+) stromal BMDCs co-expressed the hematopoietic marker CD45 or myofibroblasts markers αSMA and SRF. In the indirect GFP IHC assay, similar results were observed among 11 gastric intraepithelial neoplasia lesions and 2 small intestine tumors. Conclusion These results demonstrated that BMDCs might not be the source of gastrointestinal tumor cells induced by NMU and/or H. felis infection.
Evidence‐based medicine: how good is the evidence?

be incorrect have caralysed adv ances of great im po r tance. ' For exa m ple, the assumptionthat led to the useof liver in the rrea'; nentof pernicious anae mia was incor teet but the conce pt occasioned expertmentaladvances thatultimately saved many lives' To err ishuman , and researche rs are no exceptio n, As Sir Peter Medawar who, with Sir Frank M acfarlane Burn et, shared the 1960 Nobel Pr ize for Physio logy or Me":lcine,onceobserved: " In science, as in everyday life, we sometimes guess wrong, we takea wrong turn and what could be more rational an d understanda blethan that? ' . J MartinB Van Der Weyden
Mining maximal quasi‐bicliques: Novel algorithm and applications in the stock market and protein networks

Several real‐world applications require mining of bicliques, as they represent correlated pairs of data clusters. However, the mining quality is adversely affected by missing and noisy data. Moreover, some applications only require strong interactions between data members of the pairs, but bicliques are pairs that display complete interactions. We address these two limitations by proposing maximal quasi‐bicliques. Maximal quasi‐bicliques tolerate erroneous and missing data, and also relax the interactions between the data members of their pairs. Besides, maximal quasi‐bicliques do not suffer from skewed distribution of missing edges that prior quasi‐bicliques have. We develop an algorithm MQBminer, which mines the complete set of maximal quasi‐bicliques from either bipartite or non‐bipartite graphs. We demonstrate the versatility and effectiveness of maximal quasi‐bicliques to discover highly correlated pairs of data in two diverse real‐world datasets. First, we propose to solve a novel financial stocks analysis problem using maximal quasi‐bicliques to co‐cluster stocks and financial ratios. Results show that the stocks in our co‐clusters usually have significant correlations in their price performance. Second, we use maximal quasi‐bicliques on a mining protein network problem and we show that pairs of protein groups mined by maximal quasi‐bicliques are more significant than those mined by maximal bicliques. Copyright © 2009 Wiley Periodicals, Inc., A Wiley Company
Recurrent seizures induce a reversible impairment in a spatial hidden goal task

A major question concerning the learning and memory deficits characteristic of epilepsy is the relative importance of the initial insult that leads to recurrent, unprovoked seizures versus the seizures themselves. A related issue is whether seizure‐induced cognitive decline is permanent or reversible when convulsions cease. To address these problems, adult rats were extensively trained in the “spatial accuracy task,” a dry‐land analog of the Morris water maze. This task allows the rat's estimate of the location of a hidden goal zone to be repeatedly measured within each behavioral session. One aim was to measure, in well‐trained animals, the time course of any cognitive impairment caused by a daily flurothyl‐induced generalized seizure over 11 days. A second aim was to look for possible recovery during 9 subsequent days with no seizures. We saw a cumulative degradation in spatial performance during the seizure days and reversal of the deficit after seizures were stopped such that performance returned to baseline. Interestingly, the rate of learning to an asymptote, the rate of performance decline during one‐per‐day seizures and the rate of relearning during the recovery period were all similar. Given that the hippocampus plays an important role in spatial memory and that it is the brain structure most vulnerable to abnormal excitation the implication is that the hippocampus remains essential for precise spatial navigation even after prolonged training in locating a fixed goal zone. Clinically, this finding questions the assumption that patients who experience seizures should return to a baseline cognitive level within hours. © 2009 Wiley‐Liss, Inc.
Organizational self-design in semi-dynamic environments

Organizations are an important basis for coordination in multiagent systems. However, there is no best way to organize and all ways of organizing are not equally effective. Attempting to optimize an organizational structure depends strongly on environmental features including problem characteristics, available resources, and agent capabilities. If the environment is dynamic, the environmental conditions or the problem task structure may change over time. This precludes the use of static, design-time generated, organizational structures in such systems. On the other hand, for many real environments, the problems are not totally unique either: certain characteristics and conditions change slowly, if at all, and these can have an important effect in creating stable organizational structures. Organizational-Self Design (OSD) has been proposed as an approach for constructing suitable organizational structures at runtime. We extend the existing OSD approach to include worth-oriented domains, model other resources in addition to only processor resources and build in robustness into the organization. We then evaluate our approach against the contract-net approach and show that our OSD agents perform better, are more efficient, and more flexible to changes in the environment.
Analysis and Compensation of Sparse Packet Losses in Distributed Turkish Continuous Speech Recognition System

In this study, we investigated word error rate performance of Turkish continuous speech recognition system with sparse packet losses in a distributed architecture. In this distributed architecture, speech feature vectors consisting of MFCCs and logarithmic power are transmitted with UDP protocol. A special UDP header is defined to be in the distributed system. Sparse packet losses are artificially generated by considering different scenarios. Two packet loss concealment methods, Lagrange and spline interpolation, are used as a front-end process in the recognition system. In the experimental study, speech feature vectors are obtained by using HTK. The SRI language modelling toolkit is used to generate statistical language models. Acoustic modeling and recognition are performed using AT&T software. The word error rate (WER) of the baseline system is 32.1%. This error rate is increased up to 34.2% with the sparse packet losses. In our study, we have seen that the packet concealment methods reduce the WER of the speech recognition system to 32.4%.
Transcription factors, normal myeloid development, and leukemia.

TRANSCRIPTION FACTORS play a major role in differentiation in a number of cell types, including the various hematopoietic lineages. [1-4][1] In the hematopoietic system, stem cells undergo a process of commitment to multipotential progenitors, which in turn give rise to mature blood cells. Although a
Touchpoints : designerly perspectives on persuasion

• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Real-time, cooperative enterprises: requirements and solution approaches

In addition of the four main R&D directions, i.e., adaptive manufacturing, digital manufacturing, knowledge-based manufacturing, and networked manufacturing, emphasised by the European initiative Manufuture, two additional requirements, i.e., the real-timeness and cooperativeness of production structures are also outlined in the paper, which are of high and increasing importance. The paper highlights the main results of a national R&D project in Hungary on Digital Enterprises, Production Networks, and the main concept of a new, just started, national research project VITAL: Real-time Cooperative Enterprises.
Simultaneous Reality Filtering and Encoding of Thoughts: The Substrate for Distinguishing between Memories of Real Events and Imaginations?

Any thought, whether it refers to the present moment or reflects an imagination, is again encoded as a new memory trace. Orbitofrontal reality filtering (ORFi) denotes an on-line mechanism which verifies whether upcoming thoughts relate to ongoing reality or not. Its failure induces reality confusion with confabulations and disorientation. If the result of this process were simultaneously encoded, it would easily explain later distinction between memories relating to a past reality and memories relating to imagination, a faculty called reality monitoring. How the brain makes this distinction is unknown but much research suggests that it depends on processes active when information is encoded. Here we explored the precise timing between ORFi and encoding as well as interactions between the involved brain structures. We used high-density evoked potentials and two runs of a continuous recognition task (CRT) combining the challenges of ORFi and encoding. ORFi was measured by the ability to realize that stimuli appearing in the second run had not appeared in this run yet. Encoding was measured with immediately repeated stimuli, which has been previously shown to induce a signal emanating from the medial temporal lobe (MTL), which has a protective effect on the memory trace. We found that encoding, as measured with this task, sets in at about 210 ms after stimulus presentation, 35 ms before ORFi. Both processes end at about 330 ms. Both were characterized by increased coherence in the theta band in the MTL during encoding and in the orbitofrontal cortex (OFC) during ORFi. The study suggests a complex interaction between OFC and MTL allowing for thoughts to be re-encoded while they undergo ORFi. The combined influence of these two processes at 200–300 ms may leave a memory trace that allows for later effortless reality monitoring in most everyday situations.
A Novel Local Network Intrusion Detection System Based on Support Vector Machine

Problem statement: Past few years have witnessed a growing recognition of intelligent techniques for the construction of efficient and reliable Intrusion Detection Systems (IDS). Many methods and techniques were used for modeling the IDS, but some of them contribute little or not to resolve it. Approach: Intrusion detection system for local area network by using Support Vector Machines (SVM) was proposed. First, the intrusion ways and intrusion connecting of Local Area Network were defined for putting forward the design requests on intrusion detection system of LAN. Second, the new method to recognized attack patterns which may give better coverage and make the detection more effective. Results and Conclusion: SVM was used as a detection system that recognizes anomalies and raises an alarm. The data that was used in our experiments originated from a campus lab. The result of the evaluation produced a better result in terms of the detection efficiency and false alarm rate.
Application of Youtube-Based Learning Videos in Madrasah Aliyah

The world of education and teaching is a part that cannot be separated from technological devices and the internet, educators utilizing this technology is very helpful for learning development. Therefore, this study aims to determine the utilization of Youtube as a video-based learning media. To find out the extent to which this video-based learning media is utilized, a survey was conducted to 50% of teachers who teach at high schools in Solok City by giving a questionnaire about the utilization of Youtube as a video-based learning media at the school. This type of research was conducted using descriptive quantitative. And the object of this research is educators and students at high schools in Solok City. And this data collection technique uses observation techniques using online questionnaires and online-based in-depth interviews. The results of this study are to find out if Youtube as a video-based learning media is very helpful for educators in developing learning. The limitation of this study is that researchers did not observe all educators in the Senior High School in Solok City in giving questionnaires for observation and interviews, therefore it is hoped that further researchers can conduct research that aims to be more effective and efficient in utilizing and developing Youtube as a video-based learning media.
Unfinished Symphonies - songs of 31/2 worlds

In this workshop, I introduce some of the reasons for my fascination with alife and my desire to use it for music making. I also talk about some of the joys and sorrows of the collaboration process. Four alife worlds, Feeping Creatures, Spinners, Gakkimon Planet and Listening Sky are described in the order they were made. I talk about what I like and dislike about each one and how I would like to extend them.
Dry needling in patients with chronic heel pain due to plantar fasciitis: A single-blinded randomized clinical trial

Background: This study examined the effects of dry needling on chronic heel pain due to plantar fasciitis. Methods: During this single-blinded clinical trial, 20 eligible patients were randomized into two groups: A case group treated with dry needling and a control group. Patients’ plantar pain severity, (using modified visual analog scale [VAS] scoring system), range of motion of ankle joint in dorsiflexion [ROMDF] and plantar extension[ROMPE] and foot function index (using standard questionnaires of SEM5 and MDC7) were assessed at baseline, four weeks after intervention and four weeks after withdrawing treatment. Independent sample t-test, Mann-Whitney U test, paired t-test, Wilcoxon signed rank tests, and chi square test were used for data analysis. Results: The mean VAS scores in the case group was significantly lower than the control group after four weeks of intervention (p<0.001). Comparison of the ROMDF and ROMPE did not reveal any significant changes after four weeks of intervention in the case and control groups (p=0.7 and p=0.65, respectively). The mean of MDC7 and SEM5 scores in the case group were significantly lower than the control group following four weeks of intervention (p<0.001). Conclusion: Despite the insignificant effect on ROMDF and ROMPE, trigger point dry needling, by improving the severity of heel pain, can be used as a good alternative option before proceeding to more invasive therapies of plantar fasciitis.