Miracle-dz/UniFAR-FTUs huggingface dataset:
AUTOMATIC CONTENT-BASED HYPERMETRIC RHYTHM RETRIEVAL APPROACH

Recurrence of melodic and rhythmic patterns in various representations of music and a hybrid method of a hierarchical rhythm retrieval, employing the most promising set of ranking methods, have been conceived. On the basis of this novel approach and also authors’ former research in the area of metric rhythm concerning the rhythmic salience of sounds, an application called DrumAdd, accepting symbolic representation of music on input, is proposed. The system generates automatically a drum accompaniment to a given melody on the basis of hypermetric hypothesis ranked as the first one among all hypotheses. In the paper other studies on rhythm retrieval are described in aspect of their applicability in the system of automatic drum accompaniment. Details on experimental setup and results obtained are presented, conclusions are delivered concerning the quality of the engineered methods.
Effects of leg massage on recovery from high intensity cycling exercise

Background: The effect of massage on recovery from high intensity exercise is debatable. Many studies on massage suffer from methodological flaws such as poor standardisation of previous exercise, lack of dietary control, and inappropriate massage duration. Objective: To examine the effects of leg massage compared with passive recovery on lactate clearance, muscular power output, and fatigue characteristics after repeated high intensity cycling exercise, with the conditions before the intervention controlled and standardised. Methods: Nine male games players participated. They attended the laboratory on two occasions one week apart and at the same time of day. Dietary intake and activity were replicated for the two preceding days on each occasion. After baseline measurement of heart rate and blood lactate concentration, subjects performed a standardised warm up on the cycle ergometer. This was followed by six standardised 30 second high intensity exercise bouts, interspersed with 30 seconds of active recovery. After five minutes of active recovery and either 20 minutes of leg massage or supine passive rest, subjects performed a second standardised warm up and a 30 second Wingate test. Capillary blood samples were drawn at intervals, and heart rate, peak power, mean power, and fatigue index were recorded. Results: There were no significant differences in mean power during the initial high intensity exercise bouts (p = 0.92). No main effect of massage was observed on blood lactate concentration between trials (p = 0.82) or heart rate (p = 0.81). There was no difference in the maximum power (p = 0.75) or mean power (p = 0.66) in the subsequent Wingate test, but a significantly lower fatigue index was observed in the massage trial (p = 0.04; mean (SD) fatigue index 30.2 (4.1)% v 34.2 (3.3)%). Conclusions: No measurable physiological effects of leg massage compared with passive recovery were observed on recovery from high intensity exercise, but the subsequent effect on fatigue index warrants further investigation.
Application of drug efficiency index in drug discovery: a strategy towards low therapeutic dose

Introduction: The ultimate objective of optimizing adsorption, distribution, metabolism and excretion (ADME) parameters in drug discovery is to maximize the unbound concentration at the site of action for a given dose level. This has the added benefit of minimizing the efficacious dose, reducing the potential for attrition related to drug burden and direct organ toxicity. The concept of drug efficiency was formulated as a tool to obtain a balanced profile between target affinity and ADME properties during lead optimization. Areas covered: The authors discuss how it is possible to maximize the in vivo pharmacological potential addressing whether drug efficiency adds value to the decision-making process and whether it is possible to introduce a single optimization parameter, the drug efficiency index (DEI), linking target affinity and ADME properties, as a marker of in vivo efficacy. Expert opinion: In the absence of a clear hypothesis-driven approach at the beginning of the program (i.e., pharmacokinetic–pharmacodynamic link), the objective to select molecules with a low therapeutic dose is still a major hurdle in drug discovery. The authors believe that a greater strategic focus on mechanistically relevant measures of the determinants of receptor occupancy would help the optimization and selection process. In this respect, the introduction of the DEI, which can be seen as a correction of target affinity by the in vivo pharmacokinetic potential, may help drug discovery to select and promote those molecules with the highest probability to interact with the biological target and with the best balance between target affinity and ADME properties.
Non-Marker based Mobile Augmented Reality and its Applications using Object Recognition

As the augmented reality technology has become more pervasive and ap- plicable, it is easily seen in our daily lives regardless of fields and scopes. Existing camera vision based augmented reality techniques depend on marker based approaches rather than real world information. The augmented reality technology using marker recognition has limitations in its applicability and provision of proper environment to guarantee user's immersiveness to relevant service application programs. This study aims to implement a smart mobile terminal based augmented reality technology by using a camera built in a terminal device and image and video processing technology without any markers so that users can recognize multimedia objects from real world images and build an augmented reality service, where 3D content connected to objects and relevant information are added to the real world image. Object recognition from a real world image is involved in a process of comparison against preregistered reference information, where operation to measure similarity is reduced for faster running of the application, considering the characteristics of smart mobile devices. Furthermore, the design allows users to interact through touch events on the smart device after 3D content is output onto the terminal screen. Afterward, users can browse object related information on the web. The augmented reality technology appropriate for the smart mobile environment is proposed and tested through several experiments and showed reliable performances in the results.
Learning Articulated Motion Models from Visual and Lingual Signals

In order for robots to operate effectively in homes and workplaces, they must be able to manipulate the articulated objects common within environments built for and by humans. Previous work learns kinematic models that prescribe this manipulation from visual demonstrations. Lingual signals, such as natural language descriptions and instructions, offer a complementary means of conveying knowledge of such manipulation models and are suitable to a wide range of interactions (e.g., remote manipulation). In this paper, we present a multimodal learning framework that incorporates both visual and lingual information to estimate the structure and parameters that define kinematic models of articulated objects. The visual signal takes the form of an RGB-D image stream that opportunistically captures object motion in an unprepared scene. Accompanying natural language descriptions of the motion constitute the lingual signal. We present a probabilistic language model that uses word embeddings to associate lingual verbs with their corresponding kinematic structures. By exploiting the complementary nature of the visual and lingual input, our method infers correct kinematic structures for various multiple-part objects on which the previous state-of-the-art, visual-only system fails. We evaluate our multimodal learning framework on a dataset comprised of a variety of household objects, and demonstrate a 36% improvement in model accuracy over the vision-only baseline.
Portable uv plasma air purifier in automobile

The increase of industrial activities and automobiles nowadays has increased the pollution in air. Although most people tend to think that the air inside their automobiles is cleaner than the air outside, studies has found that the air quality inside the automobile is filthier compared to outdoor, as pollutants from the outside flow into the automobiles and influence the air quality in cars negatively [1,4,6].
An Upper Bound on the Diameter of a Graph from Eigenvalues Associated with its Laplacian

The authors give a new upper bound for the diameter $D(G)$ of a graph $G$ in terms of the eigenvalue of the Laplacian of $G$. The bound is $$ D(G)\leqq \lfloor\fract{cosh^{-1}(n-1)}{cosh^{-1}\frac{\lambda_n + \lambda_2}{\lambda_n - \lambda_2}}\rfloor +1, $$ where $0\leq \lambda_2 \leq \cdots \leq \lambda_n$ are the eigenvalues of the Laplacian of $G$ and where $\lfloor \rfloor$ is the floor function.
Local Closed World Semantics: Keep it simple, stupid!

A combination of open and closed-world reasoning (usually called local closed world reasoning) is a desirable capability of knowledge representation formalisms for Semantic Web applications. However, none of the proposals made to date for extending description logics with local closed world capabilities has had any significant impact on applications. We believe that one of the key reasons for this is that current proposals fail to provide approaches which are intuitively accessible for application developers and at the same time are applicable, as extensions, to expressive description logics such as SROIQ, which underlies the Web Ontology Language OWL. In this paper we propose a new approach which overcomes key limitations of other major proposals made to date. It is based on an adaptation of circumscriptive description logics which, in contrast to previously reported circumscription proposals, is applicable to SROIQ without rendering reasoning over the resulting language undecidable.
A ug 2 00 1 BELLE KEK Preprint 2001-63 Belle Preprint 2001-11 Measurement of the Branching Fraction for B → η ′ K and Search for B → η ′ π + The Belle Collaboration

We report measurements for two-body charmless hadronic B decays with an η meson in the final state. Using 11.1×106 BB̄ pairs collected with the Belle detector, we find BF (B+ → η′K+) = (79 −11±9)×10 and BF (B0 → η′K0) = (55 −16±8)× 10−6, where the first and second errors are statistical and systematic, respectively. No signal is observed in the mode B+ → η′π+, and we set a 90% confidence level upper limit of BF (B+ → η′π+) < 7 × 10−6. The CP asymmetry in B → ηK decays is investigated and a limit at 90% confidence level of −0.20 < ACP < 0.32 is obtained. PACS: 13.25. Hw, 14.40. Nd
A Database Approach to SDN Control Plane Design

Software-defined networking (SDN) is a well-known example of a research idea that has been reduced to practice in numerous settings. Network virtualization has been successfully developed commercially using SDN techniques. This paper describes our experience in developing production-ready, multi-vendor implementations of a complex network virtualization system. Having struggled with a traditional network protocol approach (based on OpenFlow) to achieving interoperability among vendors, we adopted a new approach. We focused first on defining the control information content and then used a generic database protocol to synchronize state between the elements. Within less than nine months of starting the design, we had achieved basic interoperability between our network virtualization controller and the hardware switches of six vendors. This was a qualitative improvement on our decidedly mixed experience using OpenFlow. We found a number of benefits to the database approach, such as speed of implementation, greater hardware diversity, the ability to abstract away implementation details of the hardware, clarified state consistency model, and extensibility of the overall system.
Packrat parsers can support left recursion

Packrat parsing offers several advantages over other parsing techniques, such as the guarantee of linear parse times while supporting backtracking and unlimited look-ahead. Unfortunately, the limited support for left recursion in packrat parser implementations makes them difficult to use for a large class of grammars (Java's, for example). This paper presents a modification to the memoization mechanism used by packrat parser implementations that makes it possible for them to support (even indirectly or mutually) left-recursive rules. While it is possible for a packrat parser with our modification to yield super-linear parse times for some left-recursive grammars, our experimentsshow that this is not the case for typical uses of left recursion.
Nitrogen-fixing nodules induced by Rhizobium on the stem of the tropical legume Sesbania rostrata

The only recorded instances of legume, species with aerial nodules are for Neptunia oleracea [ 11 and Aeschynomene indica [2,3 J . This latter, which grows in flooded soils, has two types of nodules: root nodules like other legumes, and stem nodules. Stem , nodules of A. indica usually are distributed sparsely along the lower stem and look more like small swellings than conventional Rhizobium nodules. We report here on a tropical legume, Sesbania 2.1. Techniques for structural studies
Processing High Volume Scan Test Results for Yield Learning

Yield of nanometer-scale devices is increasingly challenging due to the increasing contribution of systematic defects that are affected by the product design itself. While inline inspection has been the conventional tool used to detect and isolate significant yield limiting mechanisms, there is a need to augment this information with the analysis of electrical test results obtained using electrical structural test of the final product. The biggest challenge is employing new methods and tools that can accommodate the voluminous amount of data that can accumulate during this process. This paper describes the methods and tools required to manage the data in both time and data-volume efficiency. The described methodology includes the levels of data accumulation and the processing at the various levels; at the tester, offline pre-processing to convert the electrical failures to the specific physical circuit elements causing the fault, and then to the yield management system
Analyzing the effect of game-elements in e-learning environments through MBTI-based personalization

Previous studies indicate that using adaptive learning as well as game techniques enhances learning process and has significant impact on learning outcomes and motivation of learners. There are plenty of game-elements which can be used in an educational game, but the effect of them may vary due to differences in personality types of learners. The purpose of this paper is to investigate the impact of various game-elements on learning outcomes. We have focused on personalization of game-elements based on learner's personality types which can improve the learning process. For the purpose of our study, an educational game (Rememry) has been developed which is an online vocabulary learning game. The game contains a non-adaptive mode and also an in-game adaptive mode that assigns game-elements due to learner's personality type. The results represented a significant difference between engagement levels of two modes; in addition, learning outcomes were better for the adaptive mode. Besides, in this paper the sensitivity analysis of various personality dimensions relative to the game-elements have been determined and presented in a corresponding table. This paper presents the prominent and influential elements for each of personality types. The results of this paper can be used to improve effectiveness of using game-elements in designing learning environments.
Efficient Compression and Storage of XML OLAP Cubes

In this paper, the authors present an approach to efficiently compress XML OLAP cubes. They propose a multidimensional snowflake schema of the cube as the basic physical configuration. The cube is then composed of one XML fact document and as many XML documents as the dimension hierarchy members. The basic configuration is reorganized into two ways by adding data redundancy on purpose in order to achieve a better compression ratio on the one hand and to improve query response time on the other hand. In the second configuration, all the documents of the cube are merged into one single XML document. In the third configuration, each reference between the fact and the dimensions or between the members of a dimension hierarchy is replaced by the whole XML referenced fragments. To the three physical configurations of the cube, the authors apply a new compression technique named XCC. They demonstrate the efficiency of the third configuration before and after compression and they also show the efficiency of their compression technique when applied to XML OLAP cubes.
Reconstruction of Urban Vegetation Based on Laser Scanner Data at Leaf-Off Aerial Flight Times – First Results

* Corresponding author. Abstract – Caused by the importance of urban vegetation volume as an indicator for ecologically orientated city planning and since there are several cities which already use laser scanner data at leaf-off aerial flight times for creating 3D city models the idea merges of using this data for that purpose. This paper deals with the question whether laser scanner data that has not been taken during the vegetation period allows a determination of vegetation volume with sufficient accuracy. The work sets up on previous results where laser scanner data has been compared to photogrammetrically determined vegetation height measurements. Starting from the existence of different response characteristics within various vegetation types the ratio of point density of classified non-ground points is detailed analysed, and might be used as a parameter for a point density controlled reconstruction of the laser response within the vegetation stock. Attempts of reconstruction are demonstrated.
Accurate Local Estimation of Geo-Coordinates for Social Media Posts

Associating geo-coordinates with the content of social media posts can enhance many existing applications and services and enable a host of new ones. Unfortunately, a majority of social media posts are not tagged with geocoordinates. Even when location data is available, it may be inaccurate, very broad or sometimes fictitious. Contemporary location estimation approaches based on analyzing the content of these posts can identify only broad areas such as a city, which limits their usefulness. To address these shortcomings, this paper proposes a methodology to narrowly estimate the geo-coordinates of social media posts with high accuracy. The methodology relies solely on the content of these posts and prior knowledge of the wide geographical region from where the posts originate. An ensemble of language models, which are smoothed over nonoverlapping sub-regions of a wider region, lie at the heart of the methodology. Experimental evaluation using a corpus of over half a million tweets from New York City shows that the approach, on an average, estimates locations of tweets to within just 2.15km of their actual positions.
Virus-secific transcription in 3T3 cells transformed by the ts-a mutant of polyoma virus

Virus-specific RNA transcription has been measured in 3T3 cells transformed by the ts-a mutant of polyoma virus by RNA-excess hybridization to the separated strands of polyoma DNA. In two cloned sublines maintained at 39 degrees C, the nonpermissive temperature for the A gene function, RNA transcripts of a large fraction of the "early" strand are detected in both nuclear and cytoplasmic RNA fractions, but no "late" strand transcription is detected. Temperature shift to 31.5 degrees C, the permissive temperature, induces viral DNA replication and virus production accompanied by late strand transcription. In two independently derived noninducible cell lines, L strand transcription is never observed, even after cultivation at the permissive temperature. A smaller fraction of the E strand is transcribed in each noninducible cell than in its inducible parent, and this difference is further characterized as a lack of transcripts of portions of HpaII restriction endonuclease fragments 2 and 6.
On Communication and Collusion

We study the role of communication within a cartel. Our analysis is carried out in Stigler's (1964) model of repeated oligopoly with secret price cuts. Firms observe neither the prices nor the sales of their rivals. For a fixed discount factor, we identify conditions under which there are equilibria with "cheap talk" that result in near-perfect collusion, whereas all equilibria without such communication are bounded away from this outcome. In our model, communication improves monitoring and leads to higher prices and profits. (JEL C73, D43, D83, L12, L13, L25)
Context Aware Mobile and Sensor Information Management (CAMM)

Disclaimer All opinions, findings, conclusions and recommendations in any material resulting from this workshop are those of the workshop participants and do not necessarily reflect the views of the National Science Foundation. There is a general agreement among researchers and developers that support for mobility has become one of the key requirements of today's information management infrastructure. Mobility improves productivity by using working time more efficiently. First-generation mobile architectures treat mobile devices like static client-server systems in which clients issue standard transactions [1] to servers. More responsive future applications will require different levels of interaction and service depending on the user's context. Context captures those aspects of the user environment that affect the observable behavior of the system. For example, if a shopper's assistant running on a PDA, which is fully connected via wireless channels, alerts a user of nearby bargains on interesting items, then the context would include the user's position and perhaps a list of things that the user has purchased recently. Context-aware mobile systems in particular represent a research challenge with a new vision of intelligent applications that can automatically provide users with information that is relevant and timely, and that can operate in often unpredictable mobile environments. Context-aware mobile systems must be based on a coherent underlying infrastructure much as data processing applications have been based on database management systems. Mobility in information management has evolved as an important new discipline that presents many challenging problems. Many aspects of conventional information management must be reexamined , new approaches must be developed, and interactions between information and its consumers must change completely. Naturally, many new concepts such as location-dependent and location-aware query processing, pervasive computing, mobile computing, data streams, mobile sensors, and so on, have flooded the research arena. Furthermore, quite a few conferences, workshops, journals, etc. are promoting these emerging research activities. Unfortunately, the research communities for each of these areas are splintered. Although these are close-knit areas, there is little coordination in the effort to move toward holistic successful approaches. This workshop is an attempt to fill this void. The workshop participants agreed that the notion of mobile information management is not confined to wireless communication devices such as cell phones, but pervades many other areas such as underwater vehicle navigation, traffic monitoring, and sensor-based systems. Its importance in biological science was also recognized. Thus, to understand the implications of context-aware mobility, the first workshop …