Miracle-dz/UniFAR-FTUs huggingface dataset:
Linear Global Translation Estimation from Feature Tracks

This paper derives a novel linear position constraint for cameras seeing a common scene point, which leads to a direct linear method for global camera translation estimation. Unlike previous solutions, this method does not require connected camera-triplet graph, and works on images with weaker association. The final linear formulation does not involve the coordinates of scene points, which makes it efficient even for large scale data. We solve the linear equation based on robust $L_1$ norm, which makes our system more robust to outliers in essential matrices and feature correspondences. We experiment this method on both sequentially captured data and unordered Internet images. The experiments demonstrate its strength in robustness, accuracy, and efficiency.
Text messages reduce memory failures in adults with brain injury: A single-case experimental design

Introduction This study evaluated the efficacy of a low-cost reminder system to support prospective memory after traumatic brain injury and identified factors that contributed to the outcome. Method Two single-case experimental designs with multiple baselines across activities are described. Participants presented moderate-to-severe cognitive impairments in one case and post-concussion syndrome in the other. Both reported memory problems in everyday activities. Target activities were selected using the Canadian Occupational Performance Measure. Participants were taught how to send reminders through Google Calendar to their mobile phones. Results The Canadian Occupational Performance Measure showed improved self-perception of performance and satisfaction levels. Using non-overlap of all pairs statistical analysis, most, but not all, target activities showed statistically significant improvement, with non-overlap ranging from 47% to 98%. Adjustments in the use of the reminders based on each participant’s activities and cognitive abilities were required in order to maximise the benefits. Conclusion The reminder system was effective in increasing the frequency of completion of routine activities of daily living. To increase the effectiveness of ubiquitous technology in supporting cognition after brain injury, several factors co-existing with cognitive problems should be taken into account.
Non-parallel training for many-to-many eigenvoice conversion

This paper presents a novel training method of an eigenvoice Gaussian mixture model (EV-GMM) effectively using non-parallel data sets for many-to-many eigenvoice conversion, which is a technique for converting an arbitrary source speaker's voice into an arbitrary target speaker's voice. In the proposed method, an initial EV-GMM is trained with the conventional method using parallel data sets consisting of a single reference speaker and multiple pre-stored speakers. Then, the initial EV-GMM is further refined using non-parallel data sets including a larger number of pre-stored speakers while considering the reference speaker's voices as hidden variables. The experimental results demonstrate that the proposed method yields significant quality improvements in converted speech by enabling us to use data of a larger number of pre-stored speakers.
Adaptive Algorithms for Weight of the Feature Weighted of FCM

On the base of FCM arithmetic which is in existence, in order to get the preferable separating effect, we bring forward an adaptive algorithm for the weight of the feature weighted of FCM which founds on the feature contribution balance principle and the most separate degree principle of intra-cluster. The arithmetic avoids each feature of the feature data originated can’t be compared non-comparatives of each feature of the feature vector originated by adopting different units, and ignores the features whose contribution is small for clustering, and reduces the complicacy of the calculation. And by the simulation of the IRIS, we find the calculation method for weight is efficiency.
Cattle Behavior and Implications to Performance and Health

Cattle evolved as plain-grazing herbivores gathering together into herds to aid in the defense against predators. In non-domesticated species, matriarchal social groups of mothers and offspring exist separately from groups of male animals in various stages of maturity. The size of the group varies depending on the availability of basic resources such as food supply and access to mates for reproduction.
What is a Spectrum Hole and What Does it Take to Recognize One?

ldquoSpectrum holesrdquo represent the potential opportunities for noninterfering (safe) use of spectrum and can be considered as multidimensional regions within frequency, time, and space. The main challenge for secondary radio systems is to be able to robustly sense when they are within such a spectrum hole. To allow a unified discussion of the core issues in spectrum sensing, the ldquoweighted probability of area recoveredrdquo (WPAR) metric is introduced to measure the performance of a sensing strategy; and the ldquofear of harmful interferencerdquo F HI metric is introduced to measure its safety. These metrics explicitly consider the impact of asymmetric uncertainties (and misaligned incentives) in the system model. Furthermore, they allow a meaningful comparison of diverse approaches to spectrum sensing unlike the traditional triad of sensitivity, probability of false-alarm P FA, and probability of missed-detection P MD. These new metrics are used to show that fading uncertainty forces the WPAR performance of single-radio sensing algorithms to be very low for small values of F HI, even for ideal detectors. Cooperative sensing algorithms enable a much higher WPAR, but only if users are guaranteed to experience independent fading. Lastly, in-the-field calibration for wide-band (but uncertain) environment variables (e.g., interference and shadowing) can robustly guarantee safety (low F HI) even in the face of potentially correlated users without sacrificing WPAR.
Biochemical kinetic characterization of the Acanthamoeba myosin-I ATPase

Acanthamoeba myosin-IA and myosin-IB are single-headed molecular motors that may play an important role in membrane-based motility. To better define the types of motility that myosin-IA and myosin IB can support, we determined the rate constants for key steps on the myosin-I ATPase pathway using fluorescence stopped-flow, cold-chase, and rapid-quench techniques. We determined the rate constants for ATP binding, ATP hydrolysis, actomyosin-I dissociation, phosphate release, and ADP release. We also determined equilibrium constants for myosin-I binding to actin filaments, ADP binding to actomyosin-I, and ATP hydrolysis. These rate constants define an ATPase mechanism in which (a) ATP rapidly dissociates actomyosin-I, (b) the predominant steady-state intermediates are in a rapid equilibrium between actin-bound and free states, (c) phosphate release is rate limiting and regulated by heavy- chain phosphorylation, and (d) ADP release is fast. Thus, during steady- state ATP hydrolysis, myosin-I is weakly bound to the actin filament like skeletal muscle myosin-II and unlike the microtubule-based motor kinesin. Therefore, for myosin-I to support processive motility or cortical contraction, multiple myosin-I molecules must be specifically localized to a small region on a membrane or in the actin-rich cell cortex. This conclusion has important implications for the regulation of myosin-I via localization through the unique myosin-I tails. This is the first complete transient kinetic characterization of a member of the myosin superfamily, other than myosin-II, providing the opportunity to obtain insights about the evolution of all myosin isoforms.
Co-create with stakeholders: Action research approach in service development

This paper promotes the value of including many stakeholders in service development. The experience of co-creative service development is examined through the lens of action research. Engaging multiple stakeholders in face-to-face, in simultaneous joint activities, from various organisations, with different levels of hierarchy, and dissimilar positions, may increase the diversification through the broadness of the information, knowledge, and experiences, and increase the amount, and quality of the development suggestions. This paper is an attempt to tell the story of action research, and how it was applied to increase the understanding of the usefulness of multiple stakeholders in service development. Outcomes of a research project are presented. The paper ends with discussion of the theoretical and practical implications of the conducted research.
The number of Latin squares of order 11

Constructive and nonconstructive techniques are employed to enumerate Latin squares and related objects. It is established that there are (i) 2036029552582883134196099 main classes of Latin squares of order 11; (ii) 6108088657705958932053657 isomorphism classes of one-factorizations of K 11,11 ; (iii) 12216177315369229261482540 isotopy classes of Latin squares of order 11; (iv) 1478157455158044452849321016 isomorphism classes of loops of order 11; and (v) 19464657391668924966791023043937578299025 isomorphism classes of quasigroups of order 11. The enumeration is constructive for the 1151666641 main classes with an autoparatopy group of order at least 3.
Automatic Segmentation of Scaling in 2-d Psoriasis Skin Images Using Svm and Mrf

: Psoriasis is a skin disease that causes the skin cells , forming itchy red patches. Now a days 40% of people are affected by psoriasis. It is one of the type of comorbidity disease. Psoriasis Area and Severity Index is used for the measurement of severity of psoriasis. But it need the quality(accurate) image, So we used the Seeded Region Growth(SRG) algorithm. In the PASI the range o indicates no disease and range 1 indicates maximal disease. SRG technique is applied only inside of the pixel, it robust and also perform the segmentation directly. Then ASRG(Automatic Seeded Region Growth) algorithm is also used to solve the problem of pixel sorting order it automatically process the seed selection. Finally these algorithm gives the accurate image for the treatment of psoriasis. Reliable tests are important to dermatologists for assessing treatements and to companies who want to improve their treatements.
Enhancing Business-Intelligence Tools with Value-Driven Recommendations

Business-intelligence (BI) tools are broadly adopted in organizations today, supporting activities such as data analysis, decision making, and performance measurement. This study investigates the integration of feedback and recommendation mechanisms (FRM) into BI tool, defining FRM as visual cues that are embedded into the tools and provide the end-user with usage guidelines. The study focuses on FRM that are based on assessment of previous usage. It introduces the concept of valuedriven usage metadata a novel methodology for tracking and communicating the usage of data resources, linked to a quantitative assessment of the value gained. A laboratory experiment tested FRM-integration with 200 participants and confirmed our assumptions that FRM integration will improve the usability of BI tools and increase the benefits that can be gained from data resources. It also highlighted the potential benefits of collecting value-driven usage metadata and using it to generated usage recommendations.
Localized QoS Routing Based on Links Blocking Probability

Localized Quality of Service (QoS) routing has recently been proposed as a promising alternative to the currently deployed global routing algorithms. In localized routing schemes, routing decisions are taken solely based on locally collected statistical information rather than global state information [1]. This approach significantly reduces the overheads associated with maintaining global state information at each node, which in turn improves the overall routing performance. In this paper we introduce a Localized QoS routing algorithm based on Link Blocking Probability (LBP). We compare the performance of the proposed algorithm against the most efficient localized routing algorithm, namely Credit Based Routing (CBR), and against the contemporary global routing algorithm, the Widest Shortest Path (WSP). With the aid of simulations, we show that the introduced algorithm outperforms the others in terms of the overall network blocking probability.
Older adults as digital content producers

Older adults are normally characterized as consumers, rather than producers, of digital content. Current research concerning the design of technologies for older adults typically focuses on providing access to digital resources. Access is important, but is often insufficient, especially when establishing new social relationships. This paper investigates the nature and role of digital content that has been created by older adults, for the purpose of forging new relationships. We present a unique field study in which seven older adults (aged 71-92 years), who did not know each other, used a prototype iPad application (Enmesh) to create and share photographs and messages. The findings demonstrate that older adults, even those in the \'1c"oldest old\'1d" age group, embraced opportunities to express themselves creatively through digital content production. We show that self-expression and social engagement with peers can be realized when socio-technical systems are suitably designed to allow older adults to create and share their own digital content.
Emergent Properties from Feature Co-occurrence in Image Collections

This paper proposes a novel approach to explore emergent patterns in images in an unsupervised setting. We consider emergent patterns to be sets of co-occurring visual words that appear together more often than chance would indicate. Rather than focusing on finding ways to learn a large number of objects or their categories we focus on analyzing behavior associated with emergent patterns. We show that these patterns emerge from the data and in some cases relate to object identifiers. We extract SIFT descriptors [1] and then cluster them to represent each image as a bag-of-words. To encode co-occurrences between visual words we represent them as edges of a graph which are weighted by the number of images containing a particular co-occurrence. Performing a statistical analysis on weights of the edges identifies words which co-occur significantly more often than expected. These highly co-occurring nodes produce clusters in the graph which can be separated using normalized cuts. Applying normalized cuts reveals that in simple images datasets these emergent clusters can identify object classes. Results on more complex datasets like Caltech101 [2] show that interesting patterns other than object classes can also emerge from the data.
Anticipation and Source-Monitoring Errors: Children's Memory for Collaborative Activities

When asked to remember who contributed what to the completion of shared, goal-directed activities, children exhibit a bias to over-attribute contributions to themselves, recoding partners' actions as their own. The goals of the 3 experiments reported here were to explore task characteristics that might influence these recoding processes, and as a result, reveal more about them. The timing of the child's contributions in relation to the partner's actions was found to be crucial for recoding (Experiments 1 and 3). The availability of a model outcome affects recoding as well (Experiment 2), but appears not to be a prerequisite. In the absence of a physical outcome, recoding is still observed (Experiment 3). Anticipation of the partner's actions appears to account for all of these effects. Findings have implications for understanding children's source monitoring abilities as well as for understanding internalization processes thought to support collaborative learning.
Examining the Relationship between Psychosocial Work Factors and Musculoskeletal Discomfort among Computer Users in Malaysia

Background: With computers rapidly carving a niche in virtually every nook and crevice of today’s fast-paced society, musculoskeletal disorders are becoming more prevalent among computer users, which comprise a wide spectrum of the Malaysian population, including office workers. While extant literature depicts extensive research on musculoskeletal disorders in general, the five dimensions of psychosocial work factors (job demands, job contentment, job control, computer-related problems and social interaction) attributed to work-related musculoskeletal disorders have been neglected. This study examines the aforementioned elements in detail, pertaining to their relationship with musculoskeletal disorders, focusing in particular, on 120 office workers at Malaysian public sector organizations, whose jobs require intensive computer usage. Methods: Research was conducted between March and July 2009 in public service organizations in Malaysia. This study was conducted via a survey utilizing self-complete questionnaires and diary. The relationship between psychosocial work factors and musculoskeletal discomfort was ascertained through regression analyses, which revealed that some factors were more important than others were. Results: The results indicate a significant relationship among psychosocial work factors and musculoskeletal discomfort among computer users. Several of these factors such as job control, computer-related problem and social interaction of psychosocial work factors are found to be more important than others in musculoskeletal discomfort. Conclusion: With computer usage on the rise among users, the prevalence of musculoskeletal discomfort could lead to unnecessary disabilities, hence, the vital need for greater attention to be given on this aspect in the work place, to alleviate to some extent, potential problems in future.
A “true” electrical cell model for timing, noise, and power grid verification

Empirically characterized equation- and table-based cell models have been applied in static timing analysis for decades. These models have been extended to handle a variety of environmental and circuit phenomena over the years. This has given rise to a profusion of cell models that are used to verify circuit functionality and performance. The recent invention of a second-generation of current source models shows the promise of a unified electrical cell model that comprehensively addresses most of the effects that are perceived as accuracy limiters. In this paper, we describe these accuracy limiters and present comprehensive results for a particular current source model [11].
Google distance between words

Cilibrasi and Vitanyi have demonstrated that it is possible to extract the meaning of words from the world-wide web. To achieve this, they rely on the number of webpages that are found through a Google search containing a given word and they associate the page count to the probability that the word appears on a webpage. Thus, conditional probabilities allow them to correlate one word with another word's meaning. Furthermore, they have developed a similarity distance function that gauges how closely related a pair of words is. We present a specific counterexample to the triangle inequality for this similarity distance function.
Nonuniform Coercions via Unification Hints

We introduce the notion of nonuniform coercion, which is the promotion of a value of one type to an enriched value of a different type via a nonuniform procedure. Nonuniform coercions are a generalization of the (uniform) coercions known in the literature and they arise naturally when formalizing mathematics in an higher order interactive theorem prover using convenient devices like canonical structures, type classes or unification hints. We also show how nonuniform coercions can be naturally implemented at the user level in an interactive theorem prover that allows unification hints.
Oxysterols Increase Inflammation, Lipid Marker Levels and Reflect Accelerated Endothelial Dysfunction in Experimental Animals

Objective Oxidized cholesterol derivatives are thought to exert atherogenic effect thus adversely affecting vascular endothelium. The aim of the study was to assess the effect of 5α,6α-epoxycholesterol on experimentally induced hypercholesterolemia in rabbits, and the levels of homocysteine (HCY), asymmetric dimethylarginine (ADMA), paraoxonase-1 (PON-1), and inflammatory parameters (IL-6, TNF-α, CRP). Material and methods The rabbits were divided into 3 groups, 8 animals each, and fed with basic fodder (C), basic fodder plus cholesterol (Ch) or basic fodder plus 5α,6α-epoxycholesterol, and unoxidized cholesterol (ECh). Serum concentrations of studied parameters were determined at 45-day intervals. The study was continued for six months. Results We demonstrated that adding 5α,6α-epoxycholesterol to basic fodder significantly affected lipid status of the experimental animals, increasing total cholesterol and LDL cholesterol levels, as well as HCY and ADMA levels, whilst leaving the PON-1 activity unaffected. Additionally, the ECh group presented with significantly higher concentrations of inflammatory biomarkers (IL-6, TNF-α, and CRP). In the Ch group, lower yet significant (as compared to the C group) changes of levels of studied parameters were observed. Conclusion Exposure of animals with experimentally induced hypercholesterolemia to 5α,6α-epoxycholesterol increases dyslipidaemia, endothelial dysfunction, and inflammatory response.
Perception and Acoustics of Emotions in Singing

In this experiment, the acoustic correlates of perceived emotions in singing were investigated. Singers were instructed to sing one phrase in a neutral way and in the emotions anger, joy, fear, and sadness. Listeners rated the strength of the perceived emotions for each fragment. Principal component analyses were performed on the listeners’ ratings. The derived factors were interpreted as listening strategies; and a listener’s factor loading as an indicator of the extent to which that listener used that strategy. Using the original ratings and the factor loadings, the phrases were assigned composite ratings for each emotion. Acoustic measures of spectral balance, vibrato, duration and intensity were related to the composite ratings using multiple regression analyses. It was found that anger was associated with the presence of vibrato; joyous phrases had vibrato, a short final duration, and a shallow spectral slope; sadness was associated with absence of vibrato, long duration, and a low intensity, whereas fear was related to a steep spectral slope.