Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal Output Consensus of High-Order Multiagent Systems With Embedded Technique

In this paper, we study an optimal output consensus problem for a multiagent network with agents in the form of multi-input multioutput minimum-phase dynamics. Optimal output consensus can be taken as an extended version of the existing output consensus problem for higher-order agents with an optimization requirement, where the output variables of agents are driven to achieve a consensus on the optimal solution of a global cost function. To solve this problem, we first construct an optimal signal generator, and then propose an embedded control scheme by embedding the generator in the feedback loop. We give two kinds of algorithms based on different available information along with both state feedback and output feedback, and prove that these algorithms with the embedded technique can guarantee the solvability of the problem for high-order multiagent systems under standard assumptions.
Essence and Meaning in Professional Development: The Writing Project Experience

Professional development in education is often a process focused on teachers' limitations. Teachers are rarely offered choices in professional development, nor are they asked to qualify the attributes of their professional development experiences they find most meaningful. This study situates the National Writing Project as a specific professional development program from which to consider teachers' beliefs and perceptions regarding their professional development experiences. The study begins with a broad view of professional development, then directs attention to the Writing Project as a professional development model. Ten teachers participated in individual and focus group interviews for the study. Interview data were collected and analyzed using a qualitative phenomenological approach to discern the features of the Writing Project that teachers value as a professional development experience. Results from this study include five essential elements of the Writing Project experience as reported by participants. Results show that the Writing Project builds teachers' instructional and pedagogical capacity, sponsors teachers' professional voice, breaks down isolationism, connects teachers to the writer within themselves, and attracts leaders while facilitating leadership in its members. The study concludes with a discussion of the implications researchers and educators may draw from the results.
Impact of Lipoprotein Lipase Gene Polymorphism, S447X, on Postprandial Triacylglycerol and Glucose Response to Sequential Meal Ingestion

Lipoprotein lipase (LPL) is a key rate-limiting enzyme for the hydrolysis of triacylglycerol (TAG) in chylomicrons and very low-density lipoprotein. Given that postprandial assessment of lipoprotein metabolism may provide a more physiological perspective of disturbances in lipoprotein homeostasis compared to assessment in the fasting state, we have investigated the influence of two commonly studied LPL polymorphisms (rs320, HindIII; rs328, S447X) on postprandial lipaemia, in 261 participants using a standard sequential meal challenge. S447 homozygotes had lower fasting HDL-C (p = 0.015) and a trend for higher fasting TAG (p = 0.057) concentrations relative to the 447X allele carriers. In the postprandial state, there was an association of the S447X polymorphism with postprandial TAG and glucose, where S447 homozygotes had 12% higher TAG area under the curve (AUC) (p = 0.037), 8.4% higher glucose-AUC (p = 0.006) and 22% higher glucose-incremental area under the curve (IAUC) (p = 0.042). A significant gene–gender interaction was observed for fasting TAG (p = 0.004), TAG-AUC (Pinteraction = 0.004) and TAG-IAUC (Pinteraction = 0.016), where associations were only evident in men. In conclusion, our study provides novel findings of an effect of LPL S447X polymorphism on the postprandial glucose and gender-specific impact of the polymorphism on fasting and postprandial TAG concentrations in response to sequential meal challenge in healthy participants.
New Generation of UPPAAL

Uppaal is a tool-set for the design and analysis of real-time systems. In 6] a relatively complete description of Uppaal before 1997 has been given. This paper is focused on the most recent developments and also to complement the paper of 6]. The rst prototype of Uppaal, named Tab at the time, was developed at Uppsala University in 1993 by Wang Yi et al. Its theoretical foundation was presented in FORTE94 11] and the initial design was to check safety properties that can be formalized as simple reachability properties for networks of timed automata. The restriction to this simple class of properties was in sharp contrast to other real-time veriication tools at that time, which where developed to check timed bisimularities or formulae of timed modal-calculi. However, the ambition of catering for more complicated formulae lead to extremely severe restrictions in the size of systems that could be veriied by those tools. The essential ideas behind Tab were to represent the state space of timed systems by simple constraints and to explore the state space by constraint manipulation. In 1995, Aalborg University joined the development, and shortly after a C ++-version with eecient operations on constraints and checks for inclusion between constraints was nalized. Tab was subsequently renamed Uppaal with Upp standing for Uppsala and aal for Aalborg. Since its rst release in 1995, Uppaal has in numerous case-studies proved itself useful in the analysis of safety properties of extremely complicated system descriptions. To our knowledge, Uppaal has at present over one hundred users in both academia and industry. However, the number of downloads of Uppaal binary code from the Uppaal WWW-page is much larger according to the record of our WWW-server.
DBSemSXplorer: semantic-based keyword search system over relational databases for knowledge discovery

Keyword search over relational databases has been broadly studied in recent years. Research works have been done to address both the efficiency and the effectiveness of the keyword search over relational databases. One issue with keyword search in general is its ambiguity which can ultimately impact the effectiveness of the search in terms of the quality of the search results. This ambiguity is primarily due to the ambiguity of the contextual meaning of each term in the query (e.g. each query term can be mapped to different schema terms with the same name or their synonyms). In addition to the query ambiguity itself, the relationships between the keywords in the search results are crucial for the proper interpretation of the search results by the user and should be clearly presented in the search results. To address these issues we have designed and implemented a prototype system DBSemSXplorer which can answer the traditional keyword search over relational databases in a more effective way with a better presentation of search results. We address the keyword search ambiguity issue by adapting some of the existing approaches for keyword mapping from the query terms to the schema terms/instances. The approaches we have adapted for term mapping capture both the syntactic similarity between the query keywords and the schema terms as well as the semantic similarity (e.g. definition of the keywords) of the two and give better mappings and ultimately more accurate results. Finally, to address the last issue of lacking clear relationships among the terms appearing in the search results, our system has leveraged semantic web technologies in order to enrich the knowledgebase and to discover the relationships between the keywords. Our experiments show that our system is more effective than the traditional keyword search approaches by enabling the users to find the search results which are more relevant to their keyword queries.
A P2P Overlay Network Routing Algorithm Based on Group-Average Agglomerative Clustering Topology

The use of peer-to-peer (p2p) applications is growing dramatically. Most p2p applications use the routing algorithm that selecting the neighbor nodes at random. This routing algorithm increases the routing hops and reduces the routing speed. To get better routing speed with less routing hops, a new routing algorithm named RGAAC based on group-average agglomerative clustering was presented. Structured by k clusters topology, this p2p network has k cluster center nodes. The cluster center nodes ensure the high performance of the RGAAC. Compared to some other p2p overlay routing algorithms, the RGAAC increases the performance in routing efficiency. The conclusions show that the RGAAC is an efficient routing algorithm, but also has some problems waiting for further study
ECNU at SemEval-2016 Task 3: Exploring Traditional Method and Deep Learning Method for Question Retrieval and Answer Ranking in Community Question Answering

This paper describes the system we submitted to the task 3 (Community Question Answering) in SemEval 2016 , which contains three subtasks, i.e., Question-Comment Similarity (subtask A), Question-Question Similarity (subtask B), and Question-External Comment Similarity (subtask C). For subtask A, we employed three different methods to rank question-comment pair, i.e., supervised model using traditional features, Convolutional Neural Network and Long-Short Term Memory Network. For subtask B, we proposed two novel methods to improve semantic similarity estimation between question-question pair by integrating the rank information of question-comment pair. For subtask C, we implemented a two-step strategy to select out the similar questions and ﬁlter the unrelated comments with respect to the original question.
Context ontologies for recommending from the social web

Investigations into combining context and recommendation has resulted in much fruitful research which has improved recommender systems. Such contextual information has come in many forms and been used in different ways, successfully offering better in-situ suggestions. Factors such as location, time of recommendation, etc. have proven themselves as useful contributors to exploiting context. One issue, however, is the importance placed on each aspect of context, especially as new forms of recommendation are developed. Context is traditionally incorporated into recommenders at design-time, as a filter or as an integral part of how users are modelled, but the importance placed on each aspect is not often examined. Social recommenders and systems that draw on the wealth of data present in social networks frequently have access to far more contextual factors than traditional recommenders, making user relationships to these factors all the more important. The main contribution of this paper is to provide an examination of contextual priorities from the social web, which prove useful to recommender research in the area. This ontological examination of context shows that users have different priorities when it comes to context with a large variation in the suitability of each contextual factor in predicting good recommendations. In addition, this paper presents and discusses an approach to individually tailoring context ontologies (allowing for dynamically generated context sets), evaluating contextual factors in recommending from the social web.
Temporal relationships of F-actin bundle formation, collagen and fibronectin matrix assembly, and fibronectin receptor expression to wound contraction

Wound contraction can substantially reduce the amount of new tissue needed to reestablish organ integrity after tissue loss. Fibroblasts, rich in F-actin bundles, generate the force of wound contraction. Fibronectin-containing microfibrils link fibroblasts to each other and to collagen bundles and thereby provide transduction cables across the wound for contraction. The temporal relationships of F-actin bundle formation, collagen and fibronectin matrix assembly, and fibronectin receptor expression to wound contraction have not been determined. To establish these relationships, we used a cutaneous gaping wound model in outbred Yorkshire pigs. Granulation tissue filled approximately 80% of the wound space by day 5 after injury while wound contraction was first apparent at day 10. Neither actin bundles nor fibronectin receptors were observed in 5-d wound fibroblasts. Although fibronectin fibrils were assembled on the surfaces of 5-d fibroblasts, few fibrils coursed between cells. Day-7 fibroblasts stained strongly for nonmuscle- type F-actin bundles consistent with a contractile fibroblast phenotype. These cells expressed fibronectin receptors, were embedded in a fibronectin matrix that appeared to connect fibroblasts to the matrix and to each other, and were coaligned across the wound. Transmission EM confirmed the presence of microfilament bundles, cell- cell and cell-matrix linkages at day 7. Fibroblast coalignment, matrix interconnections, and actin bundles became more pronounced at days 10 and 14 coinciding with tissue contraction. These findings demonstrate that granulation tissue formation, F-actin bundle and fibronectin receptor expression in wound fibroblasts, and fibroblast-matrix linkage precede wound contraction.
An anytime algorithm based on decentralized cooperative auction for dynamic joint fire distribution problem

The mathematic model for Dynamic Joint Fire Distribution (DJFD) problem is presented, which considers over cooperation between weapons and sensors while assigning weapons to targets against a background of air formation attacking to surface mobile targets. The constraint space which comprises resource constraints, shifting firepower constraints, temporal constraints and spatial constraints is analyzed. An anytime algorithm based on decentralized cooperative auction is developed in the paper for the DJFD problem. The algorithm has two main advantages: (1) the algorithm can assign targets asynchronously and accept new targets for assignment during the allocation process, (2) the algorithm can get a better solution compared with the ones which assign targets synchronously. The feasibility and the validity of the algorithm are verified in simulation. At the end, further researches needed are discussed.
CurlCrawler : A framework of CurlCrawler and Cached Database for crawling the web with thumb

WWW is a vast source of information and search engines are the meshwork to navigate the web for several purposes. It is problematic to identify and ping with graphical frame of mind for the desired information amongst the large set of web pages resulted by the search engine. With further increase in the size of the Internet, the problem grows exponentially. This paper is an endeavor to develop and implement an efficient framework with multi search agents to make search engines inapt to chaffing using curl features of the programming, called CurlCrawler. This work is an implementation experience for use of graphical perception to upright search on the web. Main features of this framework are curl programming, personalization of information, caching and graphical perception.
Reality of Dental Implant Surface Modification: A Short Literature Review

Screw-shaped endosseous implants that have a turned surface of commercially pure titanium have a disadvantage of requiring a long time for osseointegration while those implants have shown long-term clinical success in single and multiple restorations. Titanium implant surfaces have been modified in various ways to improve biocompatibility and accelerate osseointegration, which results in a shorter edentulous period for a patient. This article reviewed some important modified titanium surfaces, exploring the in vitro, in vivo and clinical results that numerous comparison studies reported. Several methods are widely used to modify the topography or chemistry of titanium surface, including blasting, acid etching, anodic oxidation, fluoride treatment, and calcium phosphate coating. Such modified surfaces demonstrate faster and stronger osseointegration than the turned commercially pure titanium surface. However, there have been many studies finding no significant differences in in vivo bone responses among the modified surfaces. Considering those in vivo results, physical properties like roughening by sandblasting and acid etching may be major contributors to favorable bone response in biological environments over chemical properties obtained from various modifications including fluoride treatment and calcium phosphate application. Recently, hydrophilic properties added to the roughened surfaces or some osteogenic peptides coated on the surfaces have shown higher biocompatibility and have induced faster osseointegration, compared to the existing modified surfaces. However, the long-term clinical studies about those innovative surfaces are still lacking.
Real-time single-molecule tethered particle motion analysis reveals mechanistic similarities and contrasts of Flp site-specific recombinase with Cre and λ Int

Flp, a tyrosine site-specific recombinase coded for by the selfish two micron plasmid of Saccharomyces cerevisiae, plays a central role in the maintenance of plasmid copy number. The Flp recombination system can be manipulated to bring about a variety of targeted DNA rearrangements in its native host and under non-native biological contexts. We have performed an exhaustive analysis of the Flp recombination pathway from start to finish by using single-molecule tethered particle motion (TPM). The recombination reaction is characterized by its early commitment and high efficiency, with only minor detraction from ‘non-productive’ and ‘wayward’ complexes. The recombination synapse is stabilized by strand cleavage, presumably by promoting the establishment of functional interfaces between adjacent Flp monomers. Formation of the Holliday junction intermediate poses a rate-limiting barrier to the overall reaction. Isomerization of the junction to the conformation favoring its resolution in the recombinant mode is not a slow step. Consistent with the completion of nearly every initiated reaction, the chemical steps of strand cleavage and exchange are not reversible during a recombination event. Our findings demonstrate similarities and differences between Flp and the mechanistically related recombinases λ Int and Cre. The commitment and directionality of Flp recombination revealed by TPM is consistent with the physiological role of Flp in amplifying plasmid DNA.
A P2P approach to Streaming Multimedia Contents in a F-learning Oriented Platform

In this paper a new distributed platform is proposed. The aim of the platform is providing a very simple environment which is able to share the media required in a synchronous e-learning session or in a video conference, i.e., video and audio captured streams, slide sequences and the mouse movement when the mouse pointer is over a shared slide. By using a source routing strategy every peer transmits the captured streams over one or multiple paths that reach all the multimedia session participants. With this distributed approach we are able to increase the number of participants, to avoid limitations due to the client-server bottleneck and to reduce the network load per participant in comparison to a client-server architecture with unicast communications. The proposed structure also integrates and takes advantage of the local multicast network infrastructures
Tunable fiber laser based on cascade structure consisted of an in-line M-Z and Sagnac loop

A tunable Erbium-doped fiber laser is proposed by cascading an in-line M-Z and Sagnac loop. Four laser output was gotten and were stable. With the combined effect of erbium-doped fiber gain spectrum and in-line M-Z structure transmission, gain maximum was at 1550nm waveband. At the same time, four laser output was gotten because of the frequency selecting effect of Sangac. When temperature increased from 30 °C to 150 °C, the center wavelength output of the first wavelength in the laser can be tuned from 1548.5nm to 1557.4nm. And the output power of the four wavelength is stable.
SHiFA: System-level hierarchy in run-time fault-aware management of many-core systems

A system-level approach to fault-aware resource management of many-core systems is proposed. The proposed approach, called SHiFA, is able to tolerate run-time faults at system level without any hardware overhead. In contrast to the existing system-level methods, network resources are also considered to be potentially faulty. Accordingly, applications are mapped onto healthy nodes of the system at run-time such that their interaction will not require the use of faulty elements. By utilizing the simple routing approach, results show 100% utilizability of PEs and 99.41% of successful mapping when up to 8 links are broken. SHiFA design is based on distributed operating systems, such that it is kept scalable for future many-core systems. A significant improvement in scalability properties is observed compared to the state-of-the-art distributed approaches.
Inequity Aversion, Risk Aversion and Strategic Uncertainty in Public Good Games

This paper analyzes which type of individuals’ characteristics drive behaviors in a public good game, depending on strategic uncertainty. The results of the laboratory experiment emphasize that advantageous inequity aversion has a signicant eect on the contribution decision but beliefs on the others’ contribution and risk aversion are the characteristics that mainly lead the contribution decision under strategic uncertainty. When strategic uncertainty is removed, the reciprocal behavior of individuals is essentially driven by advantageous inequity aversion, as suggested by Fehr and Schmidt (1999). Disadvantageous inequity aversion has no eect neither on the contribution decision nor on the reciprocal behavior. Our results underline the importance of strategic uncertainty to correctly understand cooperation in voluntary contribution mechanisms. They moreover suggest that behaviors of individuals are consistent between dierent experimental games. They are therefore in favor of within-subjects analyses.
Poverty and Social Protection in Indonesia

This book consists of papers that present the findings of research done by the SMERU Research Institute in Jakarta, Indonesia. Most describe the effects on the poor of the Indonesian economic crisis of 1997-98 and the response of the Indonesian government in the form of a Social Safety Net consisting of poverty mitigation programs. With the gradual recovery of the economy after 2000, the Indonesian government began reducing subsidies for fuel products and has channelled budgetary savings into a new series of targeted social protection and poverty alleviation undertakings that include unconditional cash transfers. The effectiveness of Indonesia's poverty alleviation programs has, however, been reduced by the difficulty of targeting beneficiaries accurately because of a lack of reliable, up-to-date poverty figures. In many instances unsuitable targeting methodology has been compounded by bad governance at the local level, while the introduction of regional autonomy, accompanied by the decentralization of authority to the district level, has formed a further complicating factor.