Miracle-dz/UniFAR-FTUs huggingface dataset:
Alicante University at TAC 2009: Experiments in RTE

This paper discusses the participation of the University of Alicante in the RTE track at TAC 2009. The proposed system faces the entailment recognition by computing shallow lexical deductions and richer inferences based on semantics. Speciflcally on WordNet, detection of negation terms, named entity recognition, verbs implications and frame semantic analysis. Although the system was designed to deal with 2-way entailment classiflca- tions, we also wanted to test its behaviour when tackling the 3-way task. The results achieved overcame the median reached for all participants, however, when processing the ablation tests, which are new measures to evaluate the participants introduced this year, they revealed that despite the efiort made to apply semantic knowledge, slight improvements were accomplished by the sophisticated part of the system, which encourages us even more to go on to further research in this line.
Fiscal and Distributional Implications of Property Tax Reforms in Indian Cities

The property tax is an important local revenue source in many countries, but it is often underused as a source for financing local expenditures. In India, many local governments have initiated administrative and valuation reforms to increase the yield from property taxes. In this paper, we examine the fiscal and distributional implication of the ongoing and potential assessment reforms in two Indian cities - Bangalore and Pune. While our findings are specific to these two cases, the reform efforts and underlying problems are epresentative of most urban local governments. Our main finding is that reform efforts that bring assessment of the property tax base closer to market values have significant positive impacts on revenue generation, and do not have adverse consequences in terms of the tax burden faced by the poor. Further, regulations such as rent control significantly impinge on the growth of revenues from the property tax and in fact do not serve the interests of the poor. While current assessment reforms are a good first step towards increasing the performance of the property tax, structural issues such as improved valuation, increasing buoyancy of the tax, and building taxpayer confidence need to be addressed to make these reforms sustainable.
Clutter reduction methods in ultra wideband (UWB) radar and time/performance evaluation on ARM processors

In this study, principal component analysis (PCA), singular value decomposition (SVD) and independent component analysis (ICA), which are statistical signal processing methods for clutter reduction, are explained in ultra wideband (UWB) radars. In addition, how to use these methods in through wall imaging (TWI) and time/performance relationship on ARM Cortex A-8 processors which have floating-point mathematical operation support is examined by using OpenCV library. In the conclusion part, the results obtained from a metal behind a wall was made of ytong bricks is discussed.
Advancement in range based scheme for node localization of underwater acoustic networks

The underwater acoustic network is the type of network which is deployed under the deep sea or ocean to gather underwater information. The sensor node position estimation is a major issue of the underwater acoustic network. The process of estimating node position is called node localization. In the existing RSSI based approach for the node localization has a high delay which reduces its efficiency. The technique needs to be designed which localize a number of nodes in less amount of time. This research is based on the advancement of the range-based scheme for node localization. In the proposed scheme mobile beacons are responsible for the node localization. The beacon nodes send beacon message in the network and sensor nodes respond back with a reply message. When two beacons receive the reply of a sensor node that is considered as a localized node. The sensor nodes which are already localized will not respond back to the beacon messages which reduce delay in the network for node localization. The simulation of proposed modal is performed in MATLAB and it shows that proposed scheme performs well in terms of a number of nodes localized.
Oncotargets and Therapy Dovepress Clinical Efficacy and Safety of T-dm1 for Patients with Her2-positive Breast Cancer

hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms Purpose: The aim of this study was to evaluate the therapeutic efficacy and safety of trastuzumab emtansine (T-DM1) for the treatment of patients with human epidermal growth factor receptor 2-positive breast cancer. Methods: We performed a systemic review and meta-analysis of the relevant published clinical studies. A computerized search was performed for controlled clinical trials of T-DM1 in targeted treatment. Overall survival, progression-free survival, objective response rate, symptom progression free, and adverse events (AEs) were evaluated. Results: Eight eligible trials with a total of 2,016 patients with breast cancer were included in the present meta-analysis. The treatment of patients with breast cancer with T-DM1 was associated with significantly increased overall and progression-free survival when compared with controls (P,0.0001). An analysis of the objective response rate and symptom progression free also demonstrated favorable results for T-DM1 treatment (P#0.0001). There was no significant difference between the T-DM1 and control groups with respect to nonhematologic or hematologic AEs (P=0.99 and P=0.30, respectively). Conclusion: Overall, T-DM1 is efficacious in the treatment of patients with human epidermal growth factor receptor 2-positive breast cancer and low rates of AEs compared with controls.
Pushing operation of manipulator based on experience learning: Position prediction of an object and pushing analysis

With the popularization and application of manipulator in the field of industrial production and scientific experiment, it is crucial to focus on the manipulator motion control. Pushing is the basis and assistance of complex operations of manipulator, and research goes on pushing operation has a very important and practical significance. Learning from experience has been recognized as an important cognitive ability in the cognitive architecture, and it makes the manipulator repeat the same or similar task in similar environments. The goal of this paper is to achieve the position prediction of a target object in pushing operation with experience learning and analyze the pushing operation.
Towards a pattern language for self-adaptation of cloud-based architectures

Cloud computing enables organisations to deploy their software systems over a pool of available services -- exploiting pay-per-use models -- rather than upfront purchase of an overprovisioned infrastructure. In an architectural context for cloud systems that demand elasticity in terms of service availability, reliability, and efficiency, there is a need to capitalise on the 'build-once, use-often' solutions that support reuse-driven self-adaptations of cloud-based architectures. We support the composition and application of a pattern language that exploits adaptation patterns and their relations to support 'adaptation-off-the-shelf' for cloud-based software architectures. We unify the concepts of software repository mining and software evolution to support the composition and application of an adaptation pattern language. First, we exploit the software repository mining concepts by investigating adaptation logs to empirically discover architecture adaptation patterns and their relations. Second, we utilise the software evolution techniques for self-adaptation of cloud architectures guided by a systematic selection and application of adaptation patterns. In the context of the IBM'S MAPE-K model for self-adaptation, we propose reusable policies for self-adaptive cloud architectures. Architectural adaptation knowledge in the proposed pattern language is expressed as a formalised collection of interconnected-patterns. Individual patterns in the language build on each other to provide a generic and reusable solution to address the recurring adaptation problems. In future, we focus on an incremental evolution of pattern language by discovering new patterns from adaptation logs over time.
Microtubule dynamics investigated by microinjection of Paramecium axonemal tubulin: lack of nucleation but proximal assembly of microtubules at the kinetochore during prometaphase

Microtubule (MT) dynamics in PtK2 cells have been investigated using in vivo injection of unmodified Paramecium ciliary tubulin and time-lapse fixation. The sites of incorporation of the axonemal tubulin were localized using a specific antibody which does not react with vertebrate cytoplasmic tubulin (Adoutte, A., M. Claisse, R. Maunoury, and J. Beisson. 1985. J. Mol. Evol. 22:220-229), followed by immunogold labeling, Nanovid microscopy, and ultrastructural observation of the same cells. We confirm data from microinjection of labeled tubulins in other cell types (Soltys, B. J., and G. G. Borisy. 1985. J. Cell Biol. 100:1682-1689; Mitchison, T., L. Evans, E. Schulze, and M. Kirschner. 1986. Cell. 45:515-527; Schulze, E., and M. Kirschner. 1986. J. Cell Biol. 102:1020-1031). In agreement with the dynamic instability model (Mitchison, T., and M. Kirschner. 1984. Nature (Lond.). 312:237-242), during interphase, fast (2.6 microns/min) distal growth of MTs occurs, together with new centrosomal nucleation. Most of the cytoplasmic MT complex is replaced within 15-30 min. During mitosis, astral MTs display the same pattern of renewal, but the turnover of the MT system is much faster (approximately 6 min). We have concentrated on the construction of the kinetochore fibers during prometaphase and observe that (a) incorporation of tubulin in the vicinity of the kinetochores is not seen during prophase and early prometaphase as long as the kinetochores are not yet connected to a pole by MTs; (b) proximal time- dependent incorporation occurs only into preexisting kinetochore MTs emanating from centrosomes. Consequently, in undisturbed prometaphase cells, the kinetochores probably do not act as independent nucleation sites. This confirms a model in which, at prometaphase, fast probing centrosomal MTs are grabbed by the kinetochores, where tubulin incorporation then takes place.
New BSS Algorithm of Four Order Cyclic Cumulant

According to the nature of high order cumulant, defines the four order cyclic cumulant to solve the signal separation problem. If the mixed signals are independent of each other, its four order cyclic cumulant matrix is diagonal matrix. Taking use of this performance to modify the iterative learning rate of the objective function can separate the cyclostationary signals from the mixed signals effectively, simulation results prove the effection.
A new beaked whale record from the late Miocene of Menorca, Balearic Islands, based on CT-scan analysis of limestone slabs

The finding of significant vertebrate remains inside commercial stone blocks is relatively rare. Here we describe a fossil cetacean skull discovered inside two slabs cut from a limestone block of Tortonian (i.e., early late Miocene) age from Menorca (Balearic Islands, Spain); this find represents the third record of a fossil cetacean from this island, as well as the best preserved. Unlike similar cases in the past, the Menorca skull was not extracted mechanically from the stone matrix, being rather imaged by means of computed tomography. The resulting 3D reconstruction of the skull allows us to refer the studied skull to the extant odontocete family Ziphiidae (beaked whales) and sheds light on the morphology of very delicate structures (e.g., the thin pterygoid hamuli and the mesorostral cartilage) that would likely have been destroyed during traditional mechanical preparation. This non-invasive investigation permits detailed osteoanatomical comparisons between the Menorca specimen and other extinct ziphiids, leading to the referral of the former to the stem beaked whale Messapicetus cf. longirostris. We then review the geographic distribution of fossil remains of Messapicetus, which include other occurrences from Tortonian shelf deposits of southeastern Italy, southern Peru, and Maryland (eastern USA). Early branching beaked whales (including basal members of the so-called “Messapicetus clade”) likely dispersed via the Central American Seaway, which allowed a direct communication between the Pacific and Atlantic oceans (including the Mediterranean cul-de-sac) throughout the Miocene.
Incremental Negotiation and Coalition Formation for Resource

We explore a class of task allocation mechanisms that are incremental and can be tuned to the computational resource limitations of agents Our focus is on dis tributed task and resource allocation problems involv ing coalitions of cooperative agents that must negotiate among themselves on the distribution of tasks Our emphasis is on the design of mechanisms with desir able real time and dynamic properties We describe preliminary work in four areas the design of what we call time bounded commitment networks that are ex tensions of task auctions and contract nets and that support a notion of reciprocal commitment anytime algorithms for combinatorial task allocation that take into account both positive and negative task interac tions organizational frameworks for e cient task allo cation in highly dynamic domains involving hundreds of agents and logical tools for analyzing dynamic emer gent properties of agent societies
Creating a feedback system with the Myo Armband, for home training for frail older adults

Although staying physically active is very important for frail older adults, two thirds of the older adults in the Netherlands does not exercise enough. Roessingh Research and Development (RRD) offers older adults the opportunity to perform exercises at home. Their current Life project offers older adults these opportunities by online explanatory videos and text on how to perform exercises that train the overall fitness. This project however, lacks feedback to the older adult about their performance at the moment. Therefore, the research question for this project is: “How to design and implement a feedback system, using the Myo Armband, to provide feedback to frail older adults on their performance, regarding the strength exercises related to the upper-body? ”. In order to give feedback to the user, the performance of the user should be measured. The Myo armband (by Thalmic Labs Inc.) offers many capabilities to serve as crucial sensing element in the to be developed feedback system. Through background research more information on how to provide feedback and the opportunities and limitations of the Myo has been gathered. This information, combined with information gathered through brainstorm sessions, and interviews, has led to several application ideas, after which the most feasible application was chosen. The outcome of this selection process was the application idea to develop a game to provide live feedback to the older adult and at the same time motivate the older adult. The most important requirements of this game are: showing the effort of the user, keeping track of the amount of times the exercises has been performed, providing mostly positive feedback, and to stay honest towards the older adult about their performance. Positive feedback encourages and motivates the older adult, where the honest feedback reminds the user to perform the exercise correctly. The developed game meets all the above announced requirements. After a functional and user test on the developed prototype, it could be concluded that the users had positive experiences with the system. Users got motivated by and enjoyed the game, while the game had a similar usability rating as the original Life program. Moreover, when using the game, the older adults were similarly secure about their performance, as with using the original Life program. However, some users were confused by the game, because of the occurrence of bugs and the lack of explanatory text. Overall, the game was well received by the older adults. For future development, the bugs should be fixed and more explanatory text should be added, in order to prevent the occasional confusion among the older adults. Moreover, the game could be made more dynamic and since many users were enthusiastic, more games for different exercises could be made. At last, the effect of sound in the game could also be researched, as sound can be a clear way of providing feedback.
The built environment and obesity.

Obesity results from a complex interaction between diet, physical activity, and the environment. The built environment encompasses a range of physical and social elements that make up the structure of a community and may influence obesity. This review summarizes existing empirical research relating the built environment to obesity. The Medline, PsychInfo, and Web of Science databases were searched using the keywords "obesity" or "overweight" and "neighborhood" or "built environment" or "environment. " The search was restricted to English-language articles conducted in human populations between 1966 and 2007. To meet inclusion criteria, articles had to 1) have a direct measure of body weight and 2) have an objective measure of the built environment. A total of 1,506 abstracts were obtained, and 20 articles met the inclusion criteria. Most articles (84%) reported a statistically significant positive association between some aspect of the built environment and obesity. Several methodological issues were of concern, including the inconsistency of measurements of the built environment across studies, the cross-sectional design of most investigations, and the focus on aspects of either diet or physical activity but not both. Given the importance of the physical and social contexts of individual behavior and the limited success of individual-based interventions in long-term obesity prevention, more research on the impact of the built environment on obesity is needed.
Combining object detection and brain computer interfacing: Towards a new way of subject-environment interaction

In this paper, we present an application that is a synergy of two research disciplines: visual object detection (and localization) and brain-computer interfacing. The goal is to construct an alternative way for a person to select real objects in the environment, without using speech, or any other form of muscular activity. Due to the latter, our application is potentially useful for patients that suffer from severe motor impairments since it would enable them to engage in a high-level interaction process with objects.
Effects of Social-Emotional Instruction on the Behavior of Students with Learning Disabilities

vii Chapter 1: Introduction . 1 Background and Need . 2 Statement of the Problem . 5 Purpose Statement . 5 Significance of Study . 6 Summary of Methods . 7 Summary of Findings and Implications of Study . 8 Chapter 2: Literature Review . 9 Supports for Teachers and Students . 10 Communication and teacher collaboration. 10 Collaboration and professional development. 11 Administrative support and school culture. 12 Research-Based, Targeted, Small Group Interventions . 14 Social-Emotional Learning (SEL) . 19 Mindsets. 19 Additional benefits of SEL. 21 Issues to address with SEL. 22 Social skill development. 23 Transitions and SEL. 24 Summary . 25 Chapter 3: Methods . 27 Description and Rationale for Research Approach . 27 Research Design . 28 Research sites. 28 Participants. 29 Sampling procedure. 29 Methods. 30 Research Positionality . 31 Data Analysis . 32 Validity and Reliability . 32 Chapter 4: Findings . 33 Effective but Not a Complete Solution . 34 Keep it Simple and Repeat . 40 Great for One, Good for All . 43 EFFECTS OF SOCIAL-EMOTIONAL INSTRUCTION v Chapter 5: Discussion and Analysis . 46 Comparison of Findings to Existing Literature . 47 Implications for Practice and Policy . 49 Limitations of Study . 51 Directions for Future Research . 53 Chapter 6: Conclusion . 54 References . 57 Appendix . 60 EFFECTS OF SOCIAL-EMOTIONAL INSTRUCTION
Flagellated bacterial nanorobots for medical interventions in the human body

We show that a combination of various types of nanorobots will prove to be more important as we attend to enhance targeting in the smallest blood vessels found in the human microvasculature. As such, various interdependent concepts for the implementation of these different types of medical bio-nanorobots including nanorobots propelled in the microvasculature by flagellated bacteria to target deep regions in the human body are presented. Through experimental results and theoretical formulations, we also showed the advantages of integrating biological components and more specifically Magnetotactic Bacteria (MTB) for the development of hybrid (made of synthetic and biological components) nanorobots adapted to operate in the human microvasculature. We also show a method capable to track using MRI as imaging modality, steerable microbeads and MTB that could be integrated in the implementation of future sophisticated bio-nanorobots operating inside the complex vascular network. As such, we show that these nanorobots including the ones propelled by a single flagellated bacterium could be guided or controlled directly towards specific locations deep inside the human body. We also show experimentally that flagellated bacterial nanorobots could be propelled and steered in vivo through the interstitial region of a tumor for enhanced therapeutic results.
Smartphone application for automatic classification of environmental sound

Sounds are an important source for events in the environment. They convey information about events even when these are not in line of sight. This information can warn a person that a danger is occurring. E.g. a pedestrian can estimate the distance of a vehicle and if the vehicle is approaching or departing. In this contribution a mobile sound classification system based on a smartphone running the Android operating system is presented. The software was developed in Java and applies pattern recognition methods to recognize environmental sounds. It extracts thirteen Mel Frequency Cepstral Coefficients (MFCC) from the data collected by the microphone and classifies the sound using the neural network. The use of pattern recognition methods makes the approach easily adaptable to different sounds. As application example the presented system is trained to recognize sounds of emergency vehicles in road traffic.