Miracle-dz/UniFAR-FTUs huggingface dataset:
Highlights: Language- and Domain-Independent Automatic Indexing Terms for Abstracting

A method of drawing index terms from text is presented. The approach uses no stop list, stemmer, or other language‐ and domain‐specific component, allowing operation in any language or domain with only trivial modification. The method uses n‐gram counts, achieving a function similar to, but more general than, a stemmer. The generated index terms, which the author calls “highlights,” are suitable for identifying the topic for perusal and selection. An extension is also described and demonstrated which selects index terms to represent a subset of documents, distinguishing them from the corpus. Some experimental results are presented, showing operation in English, Spanish, German, Georgian, Russian, and Japanese. © 1995 John Wiley & Sons, Inc.
The Golfer-Caddie Partnership: An Exploratory Investigation Into the Role of the Caddie

This study reports the results from a research project designed to examine the role of the caddie in the golfer-caddie partnership. Interviews were conducted with eight golfers and eight caddies from the Australasian Professional Golfers Association Tour. An interpretational analysis of the data revealed a fourcomponent model that was able to both describe the role and provide guidance to golfers and caddies for optimizing their partnership. The components included in the model are the basic structure of caddying, decision-making, moderators of the partnership, and goal setting. Strategies for players and caddies to enhance the utility of the caddie are discussed, including how knowledge of the goals and responsibilities of the player and caddie in different situations can provide a greater degree of structure and consistency in their partnership. Future research is suggested on the particular characteristics of the golfer-caddie partnership, including the content of the interpersonal behavior, frequency of interaction, history of the relationship, and style of communication on and off the golf course.
Adaptive Quorum: A Traffic Aware Power Saving Mechanism for Multi-hop Mobile Ad-hoc Networks

In this paper we propose a method for adaptive power saving based on Cyclic Quorum method. Quorum based protocols can make a guarantee for upper delay bounds which a node can experience before it can see the next hop in active state. These methods are useful for multi-hop ad-hoc networks which do not have any global synchronization between their nodes. We try to make Cyclic Quorum protocol adaptive to changes in traffic condition of network. We have shown that using Adaptive Quorum, nodes can be power conservative up to 3.5 times more than IEEE 802.11 in low traffic conditions. This method presents throughput and delay efficiencies to be very close to what network can experience while nodes are always on. This method also considers different quality of service requirements for making decisions to change the power efficiency. Independency of MAC layer from other network layers is also observed and therefore no information is needed from routing layer.
Session Type Inference in Haskell

We present an inference system for a version of the Pi-calculus in Haskell for the session type proposed by Honda et al. The session type is very useful in checking if the communications are well-behaved. The full session type implementation in Haskell was first presented by Pucella and Tov, which is 'semi-automatic' in that the manual operations for the type representation was necessary. We give an automatic type inference for the session type by using a more abstract representation for the session type based on the 'de Bruijn levels'. We show an example of the session type inference for a simple SMTP client.
Respiratory Syncytial Virus Infection and G and/or SH Protein Expression Contribute to Substance P, Which Mediates Inflammation and Enhanced Pulmonary Disease in BALB/c Mice

ABSTRACT A distinct clinical presentation of respiratory syncytial virus (RSV) infection of humans is bronchiolitis, which has clinical features similar to those of asthma. Substance P (SP), a tachykinin neuropeptide, has been associated with neurogenic inflammation and asthma; therefore, we chose to examine SP-induced inflammation with RSV infection. In this study, we examined the production of pulmonary SP associated with RSV infection of BALB/c mice and the effect of anti-SP F(ab)2 antibodies on the pulmonary inflammatory response. The peak production of pulmonary SP occurred between days 3 and 5 following primary RSV infection and day 1 after secondary infection. Treatment of RSV-infected mice with anti-SP F(ab)2antibodies suggested that SP may alter the natural killer cell response to primary and secondary infection. In mice challenged after formalin-inactivated RSV vaccination, SP appears to markedly enhance pulmonary eosinophilia as well as increase polymorphonuclear cell trafficking to the lung. Based on studies with a strain of RSV that lacks the G and SH genes, the SP response to RSV infection appears to be associated with G and/or SH protein expression. These data suggest that SP may be an important contributor to the inflammatory response to RSV infection and that anti-SP F(ab)2 antibodies might be used to ameliorate RSV-associated disease.
What-a-Watt: exploring electricity production literacy through a long term eco-feedback study

This paper presents the design, implementation and evaluation of an eco-feedback system capable of providing detailed household consumption information and also real-time production breakdown per energy source. We build on recent studies reporting an increased awareness generated by ecofeedback systems that also integrate micro-production information, taking advantage of a closed grid production network on an island with a high concentration of renewables, we deployed the What-a-Watt system in a building with 9 households for a period of 34 consecutive weeks. Results show that all the participating families have shown increased awareness of the production and distribution of electricity, thus becoming more familiarized with concepts such as the different sources of energy and how their availability relates to external variables such as weather conditions and time of day. Furthermore, our results also show, that the families using our system have managed to reduce their overall consumption. This research is a first attempt to provide more effective eco-feedback systems to consumers by integrating complex Smartgrid information in the feedback.
UAEMex System for Identifying Personality Traits from Source Code

Eder Vázquez Vázquez, Omar González Brito, Jovani A. García, Miguel García Calderón, Gabriela Villada Ramírez, Alan J. Serrano León, René A. García-Hernández, Yulia Ledeneva Universidad Autónoma del Estado de México, UAPT Tianguistenco. Instituto Literario, 100, Toluca, Edo. Méx. 50000, México. eder2v@hotmail.com, gonzalezbritoomar@gmail.com, jovani_2807@hotmail.com, tonsquemike@outlook.com, inggaby.vr@gmail.com, alan.serrano. leon@outlook.com, renearnulfo@hotmail.com, yledeneva@yahoo.com 3rd E-mail
3D‐SHOTGUN: A novel, cooperative, fold‐recognition meta‐predictor

To gain a better understanding of the biological role of proteins encoded in genome sequences, knowledge of their three‐dimensional (3D) structure and function is required. The computational assignment of folds is becoming an increasingly important complement to experimental structure determination. In particular, fold‐recognition methods aim to predict approximate 3D models for proteins bearing no sequence similarity to any protein of known structure. However, fully automated structure‐prediction methods can currently produce reliable models for only a fraction of these sequences. Using a number of semiautomated procedures, human expert predictors are often able to produce more and better predictions than automated methods. We describe a novel, fully automatic, fold‐recognition meta‐predictor, named 3D‐SHOTGUN, which incorporates some of the strategies human predictors have successfully applied. This new method is reminiscent of the so‐called cooperative algorithms of Computer Vision. The input to 3D‐SHOTGUN are the top models predicted by a number of independent fold‐recognition servers. The meta‐predictor consists of three steps: (i) assembly of hybrid models, (ii) confidence assignment, and (iii) selection. We have applied 3D‐SHOTGUN to an unbiased test set of 77 newly released protein structures sharing no sequence similarity to proteins previously released. Forty‐six correct rank‐1 predictions were obtained, 30 of which had scores higher than that of the first incorrect prediction—a significant improvement over the performance of all individual servers. Furthermore, the predicted hybrid models were, on average, more similar to their corresponding native structures than those produced by the individual servers. This opens the possibility of generating more accurate, full‐atom homology models for proteins with no sequence similarity to proteins of known structure. These improvements represent a step forward toward the wider applicability of fully automated structure‐prediction methods at genome scales. Proteins 2003;51:434–441. © 2003 Wiley‐Liss, Inc.
Quasi‐Likelihood Regression with Multiple Indices and Smooth Link and Variance Functions

Abstract. A flexible semi‐parametric regression model is proposed for modelling the relationship between a response and multivariate predictor variables. The proposed multiple‐index model includes smooth unknown link and variance functions that are estimated non‐parametrically. Data‐adaptive methods for automatic smoothing parameter selection and for the choice of the number of indices M are considered. This model adapts to complex data structures and provides efficient adaptive estimation through the variance function component in the sense that the asymptotic distribution is the same as if the non‐parametric components are known. We develop iterative estimation schemes, which include a constrained projection method for the case where the regression parameter vectors are mutually orthogonal. The proposed methods are illustrated with the analysis of data from a growth bioassay and a reproduction experiment with medflies. Asymptotic properties of the estimated model components are also obtained.
Evaluating Two Oral Health Video Interventions with Early Head Start Families

Poor oral health in early childhood can have long-term consequences, and parents often are unaware of the importance of preventive measures for infants and toddlers. Children in rural, low-income families suffer disproportionately from the effects of poor oral health. Participants were 91 parents of infants and toddlers enrolled in Early Head Start (EHS) living in rural Hawai'i, USA. In this quasi-experimental design, EHS home visitors were assigned to use either a didactic or family-centered video with parents they served. Home visitors reviewed short segments of the assigned videos with parents over an eight-week period. Both groups showed significant prepost gains on knowledge and attitudes/behaviors relating to early oral health as well as self-reported changes in family oral health routines at a six-week followup. Controlling for pretest levels, parents in the family-centered video group showed larger changes in attitudes/behaviors at posttest and a higher number of positive changes in family oral health routines at followup. Results suggest that family-centered educational videos are a promising method for providing anticipatory guidance to parents regarding early childhood oral health. Furthermore, establishing partnerships between dental care, early childhood education, and maternal health systems offers a model that broadens potential reach with minimal cost.
Application-aware Adaptive DRAM Bank Partitioning in CMP

Main memory is a shared resource among cores in a chip and the speed gap between cores and main memory limits the total system performance. Thus, main memory should be effectively accessed by each core. Exploiting both parallelism and locality of main memory is the key to realize the efficient memory access. The parallelism between memory banks can hide the latency by pipelining memory accesses. The locality of memory accesses improves hit ratio of the row buffer in DRAM chips. The state-of-the-art method called bpart is proposed to improve memory access efficiency. In bpart one bank is monopolized by one thread and this monopolization improves row buffer locality because of alleviating inter-thread interference. However, bpart is not effective for the thread which has poor locality. Moreover, the bank level parallelism is not exploited. I propose the new bank partitioning method which exploits parallelism in addition to locality. The method applies the two types of bank usage. One usage is that low locality threads share banks to improve parallelism, and the other usage is that each high locality thread monopolizes each bank to improve row buffer locality. I evaluate the proposed method by my in-house software simulator with SPEC CPU 2006 benchmark. On average, system throughput is increased by 1.0% and minimum speedup (fairness metrics) is increased by 7.9% relative to bpart. This result shows that my porposed method has better performance and fairness than bpart.
Exploring sustainability as a frame of mind: A multiple case study

In this article we discuss a multiple case study, which investigates the frames of mind on sustainability of six Grade Nine Natural Sciences and Social Sciences teachers at three different urban schools in Stellenbosch, South Africa. The article consists of a theoretical and empirical component. Regarding the former, we firstly discuss contestations around sustainability as a policy, and secondly what sustainability as a frame of mind entails. This is followed by the empirical component, which enabled us to: firstly, determine the existing frames of mind of teachers concerning sustainability; and secondly, explore implications of viewing sustainability as a frame of mind for education. In conclusion, we open up possibilities that sustainability as a frame of mind has for taking us beyond the discourse that informed the United Nations Decade of Education for Sustainable Development (UN-DESD). Keywords: curriculum; education; environment; frame of mind; sustainability, teachers
The influence of habitat on the evolution of plants: a case study across Saxifragales

Background and Aims Organismal evolution tends to be closely associated with ecological conditions. However, the extent to which this association constrains adaptation or diversification into new habitats remains unclear. We studied habitat evolution in the hyper-diverse angiosperm clade Saxifragales. Methods We used species-level phylogenies for approx. 950 species to analyse the evolution of habitat shifts as well as their influence on plant diversification. We combined habitat characterization based on floristic assignments and state-of-the art phylogenetic comparative methods to estimate within- and across-habitat diversification patterns. Key Results Our analyses showed that Saxifragales diversified into multiple habitats from a forest-inhabiting ancestor and that this diversification is governed by relatively rare habitat shifts. Lineages are likely to stay within inferred ancestral ecological conditions. Adaptation to some habitat types (e.g. aquatic, desert) may be canalizing events that lineages do not escape. Although associations between increased diversification rates and shifts in habitat preferences are occasionally observed, extreme macroevolutionary rates are closely associated with specific habitats. Lineages occurring in shrubland, and especially tundra and rock cliffs, exhibit comparatively high diversification, whereas forest, grassland, desert and aquatic habitats are associated with low diversification. Conclusions The likelihood of occupation of new habitats appears to be asymmetric. Shifts to aquatic and desert habitats may be canalizing events. Other habitats, such as tundra, might act as evolutionary sources, while forests provide the only habitat seemingly colonized easily by lineages originating elsewhere. However, habitat shifts are very rare, and any major environmental alteration is expected to have dramatic evolutionary consequences.
Generating low-overhead dynamic binary translators

Dynamic (on the fly) binary translation is an important part of many software systems. In this paper we discuss how to combine efficient translation with the generation of efficient code, while providing a high-level table-driven user interface that simplifies the generation of the binary translator (BT). The translation actions of the BT are specified in high-level abstractions that are compiled into translation tables; these tables control the runtime program translation. This table generator allows a compact description of changes in the translated code. We use fastBT, a table-based dynamic binary translator that uses a code cache and various optimizations for indirect control transfers to illustrate the design tradeoffs in binary translators. We present an analysis of the most challenging sources of overhead and describe optimizations to further reduce these penalties. Keys to the good performance are a configurable inlining mechanism and adaptive self-modifying optimizations for indirect control transfers.
Monitoring economic performance, quality of life and sustainability. Joint report as requested by the Franco-German Ministerial Council

The Franco-German Ministerial Council decided on February 4, 2010 to ask the French Conseil d’Analyse Economique (CAE) and the German Council of Economic Experts (GCEE) to follow-up on the outcome of the “Commission on the Measurement of Economic Performance and Social Progress” (Stiglitz-Sen-Fitoussi Commission, or SSFC). The corresponding report of the CAE and GCEE discusses how comprehensiveness and accuracy of an indicator set might be traded off optimally with parsimony and cost to provide a reliable basis for regular, timely and digestible reporting on three key issues regarding economic performance, quality of life and sustainability.
Inter- and Intra-household Linkages Between the Informal and Formal Sector: A Case Study for Urban Burkina Faso

Given the current focus of international development policy on pro-poor growth and poverty reduction, the role of the informal sector in the process of economic development is again at the top of the research and policy agenda. A key question is if pro-poor growth policies have to address the informal sector specifically and in any particular way or if the informal sector evolves like the rest of the economy and that therefore good growth policies are also good informal sector policies. Therefore, it is of crucial importance to understand the linkages – in quality and magnitude – between the informal sector and the rest of the economy. We argue that linkages between the formal and informal sector can exist on a macro as well as on a micro level. Empirically, we analyze both levels for urban areas in Burkina Faso using households as an observation unit. We show that in this country macro or inter-household linkages between the formal and informal economy are rather weak and that it is the performance of the whole economy in general which matters most for the informal sector. In contrast, micro or intra-household linkages between informal and formal labour supply and earnings seem more important and their understanding seems extremely useful when thinking about pro-poor growth strategies.
Efficient Representation and Processing of Incomplete Information

Database systems often have to deal with incomplete information as the world they model is not always complete. This is a frequent case in data integration applications, scientific databases, or in scenarios where information is manually entered and contains errors or ambiguity. In the last couple of decades different formalisms have been proposed for representing incomplete information. These include, among other, the socalled relations with or-sets, tables with variables (v-tables) and conditional tables (c-tables). However, none of the current approaches for representing incomplete information has satisfied the requirements for a powerful and efficient data management system, which is the reason why none has found application in practice. All models generally suffer from at least one of two weaknesses. Either they are not strong enough for representing results of simple queries, as is the case for v-tables and relations with or-sets, or the handling and processing of the data, e.g. for query evaluation, is intractable (as is the case for c-tables). In this thesis, we present a decomposition-based approach to addressing the problem of incompletely specified databases. We introduce world-set decompositions (WSDs), a space-efficient formalism for representing any finite set of possible worlds over relational databases. WSDs are therefore a strong representation system for any relational query language. We study the problems of evaluating relational algebra queries on WSDs. For each relational algebra operation we present an algorithm operating on WSDs. We also address the problem of data cleaning in the context of worldset decompositions. We present a modified version of the existing Chase algorithm, which we use to remove inconsistent worlds in an incompletely specified database. We evaluate our techniques in a large census data scenario with data originating from the 1990 USA census and we show that data processing on WSDs is both scalable and efficient.
Limit laws for the energy of a charged polymer

In this paper we obtain the central limit theorems, moderate deviations and the laws of the iterated logarithm for the energy \[H_n=\sum_{1\le j<k\le n}\omega_j\omega_k1_{\{S_j=S_k\}}\] of the polymer $\{S_1,. ,S_n\}$ equipped with random electrical charges $\{\omega_1,. ,\omega_n\}$. Our approach is based on comparison of the moments between $H_n$ and the self-intersection local time \[Q_n=\sum_{1\le j<k\le n}1_{\{S_j=S_k\}}\] run by the $d$-dimensional random walk $\{S_k\}$. As partially needed for our main objective and partially motivated by their independent interest, the central limit theorems and exponential integrability for $Q_n$ are also investigated in the case $d\ge3$.