Miracle-dz/UniFAR-FTUs huggingface dataset:
Incidental vocabulary learning through viewing television

Previous research investigating L2 incidental vocabulary learning from video has primarily focused on short videos from genres that may be conducive to vocabulary learning. The research provides evidence that L2 incidental vocabulary learning can occur through video. However, it is uncertain whether viewing episodes of full-length television programs can contribute to incidental learning. This study investigated the effects of viewing 7+ hours of television on incidental vocabulary learning as well as the effects of the frequency and range. One-hundred and eighty-seven Japanese university students viewed ten 42-minute episodes of an American drama. Two vocabulary tests at differing sensitivities were used in a pre- and post-test design measuring receptive knowledge of the form-meaning connection of 60 word-families. The results indicated that (a) viewing television contributed to significant gains in vocabulary knowledge and (b) there was a positive relationship between frequency of occurrence and vocabulary learning. Pedagogical implications are discussed in detail.
An enhanced routing mechanism for energy reduction in wireless sensor networks

In the recent years, wireless sensor networks (WSNs) are treated as one of the emerging fields in the network communication. In WSNs, routing protocols are considered as the major issue and it is framed as the NP hard problem. Though, many routing mechanism are proposed, still there are some research issues to be addressed. In this paper, we are considering the reduction of consumption as the objective function for the proposed routing protocol. The proposed routing protocol considers the Quality value (Q-Value) of the nodes for packet forwarding. The Q-value is calculated based on the battery life and cost of the node. Based on 1058 T. Sunil Kumar Reddy et al. the Q-value, the cluster head (CH) is selected automatically. The proposed protocol is evaluated based on the objectives such as network lifetime, packet delivery and energy consumption.
A Novel Coarse Alignment Method of Strapdown Inertial Navigation System on Moving Base

In order to implement the coarse alignment of a strapdown inertial navigation system on moving base swiftly and efficiently,a novel method using GPS measurements to assist to calculate attitude matrix is proposed here.The calculation of attitude matrix can be changed to solve three different transformation matrices.GPS and IMU outputs are expressed in different coordinates through the means of integral operation,and then the three matrices can be acquired.Simulations have been conducted and results show that coarse alignment of SINS on moving base can be accomplished rapidly,with errors of attitude angles less than 1°,which is obviously suitable for accuracy requirement of fine alignment afterward.
Collaborative filtering with adaptive information sources

Collaborative filtering (CF) algorithms, which generate recommendations for web users by predicting user-item ratings, are often evaluated according to their predictions; in this context the problem of generating recommendations can be formulated as one of fitting a community of users to the best set of predictors. However, the data used to perform CF is sparse, and accuracy is limited by both the quantity and quality of information available. Mining the web has the potential to address these issues: the quality and quantity of ratings can be incremented by collecting external sources of rating information. In this work we introduce a method to perform CF with external data sources; furthermore, we show that a community of users can be partitioned according to what external source acts as a better predictor of each user's preferences. In particular, we find that a single kNN predictor can achieve remarkably high prediction accuracy if the data sources are selected optimally: designing a recommender system can thus be approached with the focus on data quality rather than algorithmic method.
Modeling method of fuzzy fault Petri nets and its application

In order to overcome the shortcomings of simulating fault spreading,diagnosis and reasoning in fuzzy Petri nets and fault Petri nets,the concept and modeling method of fuzzy fault Petri nets ware put forward.The transition rules and consequences were defined from four types,i.e,one cause and one effect,one cause and several effects,several causes and one effect,competition pattern,to simulate the dynamic running process and reflect the inherent characteristics of the fault spreading.By applying the modeling method of fuzzy fault Petri nets in fault reasoning and diagnosis,the thought of combining the forward reasoning and backward reasoning was proposed,and corresponding algorithm was given.This method was verified by the example of insufficient pressure of hydraulic system.The results show that the forward reasoning can simulate the process of fault spreading,and backward reasoning can carry out fuzzy reasoning perfectly,and so the method is practical.
Constraints on School Based Management Compliance of Public Schools Principals

This study explored how school principals, head teachers, and school heads are coping with the constraints of successfully implementing different programs and activities that are in compliance with the school-based management of RA 9155 as these leaders are oftentimes confronted with voluminous work and encountered a lot of difficulties as they carry out to their administrative and supervisory functions. These competing demands lead to a clear gap between the aspirational and the actual performance in their respective schools. It utilized a descriptive-normative design in con-ducting the study where 50 respondents were randomly selected and were requested to complete a modified instrument of the Performance Appraisal System for School Administrators (PASSA). Results indicated that school administrators under survey lacked managerial competencies and adequate training in management and leadership in implementing the different programs and projects based on school-based management.
Fair-Play: How Women Experience Sexism within Board Gaming Spaces

As a male dominated culture, board gaming demonstrates relative traits to its digital counterpart video games when it comes to accepting women within its spaces. Through the representations of women of both in game and from within the culture, board gaming has a lot to offer in terms of understanding their experiences. Despite this, board gaming has and continues to be a niche community that has been left fairly untouched by scholars and research. Although there has been previous work regarding board games, there has been no full exploration of the fans within this culture. This study aim to change that, and look into the very minority of board games, the women. This study aims to explore how women experience board games on a daily basis when engaging with their own gaming groups and spaces and talks through the labour and challenges that faces them when experiencing sexism and resistance from its male dominated audience. Through the use of twelve interviews with women based in worldwide locations alongside netnographic data taken from the BoardGameGeek forums, we begin to understand how women work within these spaces despite being under represented and dismissed. The study provides analysis on the participants answers by delving deeper into the concept of ‘play’ and subcultural style alongside fannish participatory labour to form a greater understanding as to how women experience sexism within their chosen community.
Sorry to Bother You - the perception of code-switching among African American males

This paper explores the African American male perception of codeswitching between African American Vernacular English (AAVE) and Standard American English (SAE) within varying social, academic, and professional environments. This research is collected through interviews with 10 subjects from varying socioeconomic and educational backgrounds, while attempting to better understand how these perceptions were potentially created and reinforced through social and academic experience; while also attempting connection between these experiences and subject’s awareness of the presence of their own codeswitching as adults. This paper classifies subjects into two distinct groups based on socioeconomic and academic upbringing, identifying subjects from dominant culture (Tatum, 2017) as “Homogenous” and those from more ethnically diverse backgrounds as “Diverse” to more easily identify different experiences which could be associated to differentiated upbringings.
Sentiment Classification Method of Chinese Micro-blog Based on Emotional Knowledge

This paper proposes an unsupervised method of sentiment classification and applies it to perform sentiment classification on Sina micro-blog.The approach employs emotional images and emotional words as the emotional knowledge to extract pseudo-labeled samples,and uses them to train a classifier for automatically classification on polarities of the miro-blog.Experimental results show that the method achieves a decent performance on sentiment classification for Chinese micro-blog.
An investigation of forgiveness in an honor culture

Latinx Americans are members of an honor culture because of their Mediterranean cultural heritage whereas northern European Americans are members of a dignity culture. Members of an honor culture feel the need to maintain a positive reputation especially when that reputation is threatened. When there is a reputation threat, members of an honor culture perceive confronting as more appropriate than withdrawing from the situation. What has not been examined is forgiveness in the context of a reputation threat. Forgiveness is not seen positively in cultures of honor because it is perceived as risky to one’s reputation. I proposed that members of an honor culture may perceive forgiveness as moral if their reputation has been restored (in the scenario where they confronted the offender). I conducted an online scenario study to examine four different combinations of conflict reactions; confront and forgive, confront and hold a grudge, withdraw and forgive, and withdraw and hold a grudge. Participants read and indicated how moral they thought the protagonist’s conflict reaction was in response to a reputation threat (masculine, family, or feminine). Results showed that Latinx and northern European Americans rated the morality of the protagonist similarly across reputation threat scenarios. Specifically, they thought that withdrawing and forgiving the offender after a reputation threat was the most moral response.
The Identification of ‘Game Changers’ in England Cricket’s Developmental Pathway for 3 Elite Spin Bowling: A Machine Learning Approach

Research exploring the development of expertise has mostly adopted linear methods to identify precursors of expertise, assessing statistical differences between groups of isolated features (variables) by way of attaching importance; e.g., deliberate practice hours (Ericsson et al., 1993). However, confining the complex nature of expertise development to linear investigations alone may be overly simplistic. Consequently, to better understand the multidimensional and complex nature of expertise development, we applied (non-linear) pattern recognition analyses to a set of 93 features obtained from a sample of 15 elite (International) and 13 sub-elite (First Class County) cricket spin bowlers. Our study revealed that a subset of 12 developmental features, from a possible 93, discriminated between the elite and sub-elite groups with very good accuracy. The 12-feature subset forms a holistic development profile, reflecting the elite’s earlier engagement in cricket, greater quantity of domain-specific practice and competition, and superior adaptability to new levels of competition. Evidence for the external validity of this new model is offered by its ability to correctly classify data obtained from 5 unseen spin bowlers with 100% accuracy. After consideration of these quantitative findings, the content of qualitative data provided by the cricketers was subsequently analyzed to obtain a deeper understanding of the features that discriminate between the elite and sub-elite groups. Supplemental online material is provided here: https://www.journalofexpertise. org/articles/volume2_issue2/JoE_2019_2_2_Jones_SM. pdf
Collaborative filtering recommendation algorithm based on clustering basal users

To overcome the difficulty of the speed bottleneck of collaborative filtering(CF) algorithm used for generating recommendation,a CF algorithm based on clustering basal users is presented.The algorithm separates the procedure of recommendation into offline and online phases.In the offline phase,the data of basal users are preprocessed,and the basal users are clustered;while in the online phase,the nearest neighbors of an active user are found according to the basal user clusters,and the recommendation to the active user is produced.The experimental results show that the presented algorithm can improve the performance of CF systems in both the recommendation quality and efficiency.
Citation Indexing Its Theory And Application In Science Technology And Humanities

Thank you very much for downloading citation indexing its theory and application in science technology and humanities. As you may know, people have search hundreds times for their favorite novels like this citation indexing its theory and application in science technology and humanities, but end up in infectious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they juggled with some infectious virus inside their computer.
Sentence similarity computing based on relation vector model

Sentence similarity computation is very important in all fields of natural language process. Some of the traditional algorithms only compare sentences based on their surface form such as same words, sentence length, word order and do not consider the sentence deep-level semantic information, some methods considered the sentence semantics get an unsatisfactory performance on the algorithm practicality. Therefore, a relation vector model which taking into account the relationship of sentence structure and semantic information based on space vector model is presented, this model is composed of a mix between the key words of the sentence and the key words synonymous information, which reflects local structural component of the sentence as well as the correlation between the local structure and therefore better reflects the structure and semantics of the sentence. An algorithm of sentence similarity based on relation vector model is put forward. The algorithm is applied to the network news summary generation algorithm in order to avoid redundancy. The experimental results show that, compared with the algorithm which considers the word order and semantic, relation vector model algorithm not only improves the accuracy of sentence similarity calculation, the time complexity of calculation is also reduced.
Phrasal semantic distance for vietnamese textual document retrieval

In this paper, a computational semantic method is proposed to estimate the phrasal semantic distance used in our model of a Vietnamese document retrieval system. The semantic distances between phrases are defined in terms of semantic classes and semantic relations to ensure that it can reflect how different two certain phrases are. To estimate the semantic distance, the semantic classes of a phase are identified by using the n-gram model. After identification of the semantic classes, their semantic relations are also identified by using a Vietnamese Lexicon Ontology. This handcrafted ontology contains defined semantic classes and their potential relations in Vietnamese language explicitly. For the evaluation purpose, a phrasal semantic retrieval system has been built to test with a data set of 720 phrases and 30 queries. The evaluation shows the precision of 96.6% and the recall of 78.4% on experimental results.
The Company Regional Comprehensive Universities Desire to Keep: Choosing Institutional Membership Associations

ABSTRACT This article presents findings from a multiple-case study examining administrator choice in and use of institutional membership associations (IMAs) among Regional Comprehensive Universities (RCUs). The study’s purpose was to understand what choice of IMAs revealed about status-seeking and mission-centeredness among RCU administrators. Also examined was how administrators leverage IMAs to position their institutions in the broader postsecondary field. Neo-institutional and network theories guided analysis of two RCU subsets: those that discontinued membership in an RCU association, and current members of the same association that changed Carnegie Classification. Analysis found that membership associations operate similarly to the Carnegie Classifications in the minds of administrators. RCU administrators were interested in the informational resources provided by membership associations that would strengthen their commitment to the historic RCU mission (mission-centeredness), or modify this mission to refocus on the liberal arts or research (status-seeking). Among administrators that had discontinued the RCU association, status concerns were related to this decision. There was also a relationship between choice of membership association and change in Carnegie Classification. Participants saw these groupings (Carnegie and associations) conflating under the advancement of status. Finally, some administrators maintained dual memberships in order to pursue competing priorities related to mission-centeredness and status-seeking.
Research on emergency facility location model and algorithms for large-scale emergencies

It has very important significance to research on the location theory for emergency material depositories in response to frequently occurring large-scale emergencies. In allusion to the characteristics of tremendous and continued demands for emergency supplies during large-scale emergency occurring, consideringthe factors of fairness, efficiency and cost for facility location, a multi-objective multiple gradual coverage location model is proposed based on the idea of multiple coverage and gradual coverage. Three programs of greedy algorithm, ascent algorithm and genetic algorithm based on MATLAB 7.0 are developed to solve the model. A computational experiment is adopted to prove the effectiveness and performance of model and heuristic algorithms. The results of simulation prove that the performance of gradual coverage model is better than traditional binary coverage model. Different weight coefficients of objective can affect the location results obviously. Twenty-five different scales data is used to compare the performance of heuristic algorithms, the performance of genetic algorithm is better than ascent algorithm, and greedy algorithm is worst. The ascent algorithm is suitable for the small and medium-sized location problems, and genetic algorithm is suitable for solving large-scale location problems.
The Paradox of Wholesalers’s Survival: an Analysis Through Role and Legitimacy in the Context of Fruit and Vegetables distribution Networks

Role and position are key concepts in explaining both stability and change in distribution networks.Developing a shared understanding of roles with other actorshasbeen identified asa prerequisite for an actor thatwants to change theirposition in a network. Our research aims at understanding how such a shared perception of role develops through actors’ actions and interactions in networks. We explore the extent to which the concept of legitimacy helps in understanding the favourable conditions to develop a shared interpretation of role. The empirical setting of this research is the Frenchfreshfruit and vegetables (FFV) distribution that has been characterised by an important movement of disintermediation as large-scale retailers started to centralise their purchasing and marketing functions and to concentrate their supplies.Contrary to other product categories, wholesalers still keep on acting in such networks. Findings rely on a two-stepqualitative approach:a qualitative study based on interviews at three wholesalers and a multiple cases study of four FFV departments linked to a same regional divisional officebut contrasted on the way they interact with wholesalers. We thus aim at understanding wholesalers’new roles and positions in large-scale retailing distribution networksand at explainingwhy they still exist but, on the other hand, why they also encounterdifficulties to gain a more stable and lasting position.
ESTIMATION OF STOPS' SPECTRAL PLACE CUES USING MULTITAPER TECHNIQUES (Estimação das características espectrais relacionadas com o ponto de articulação de oclusivas utilizando a técnica multitaper)

This study focuses on the spectral characteristics of the European Portuguese stops /p, b, t, d, k, ɡ/ produced by six native speakers. We analysed the spectral peaks and troughs by means of multitaper spectra and performed a parameterisation of the stop spectra using slope and moment measures. In comparison to traditional spectral estimations, multitaper is more exact and, more importantly, not limited to a stationary signal length necessary for the analysis window. Therefore, it is well-suited for the rather short duration of the burst of a stop. Results show that the burst characteristics vary with place of articulation. While the global spectral frequencies match the data in classical literature, it is shown that other spectral measures in our data do not follow the typical classical spectral patterns. It is discussed whether these differences are due to the use of different methodology, or substantial cross-linguistic differences in the spectral characteristics. Key-words: Multitaper Analysis; Peaks and troughs; Slopes; Moments. Resumo: Este estudo analisa as carateristicas espetrais das oclusivas /p, b, t, d, k, ɡ/ do Portugues Europeu produzidas por seis informantes nativos. Procedeu-se a analise dos picos e dos vales espetrais (espetros multitaper) e a parametrizacao das carateristicas espetrais atraves da analise dos declives dos espetros e do calculo dos momentos de distribuicao. Comparativamente as analises espetrais tradicionais, a analise multitaper permite um maior controlo da variância associada a este tipo de sinais fazendo uso de apenas uma curta
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Systems Demonstrations

Welcome to the proceedings of the system demonstration session. This volume contains the papers of the system demonstrations presented at the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, held in Portland, Oregon, USA, on June 21, 2011. The system demonstrations program offers the presentation of early research prototypes as well as interesting mature systems. The system demonstration chair and the members of the program committee received 46 submissions, 24 of which were selected for inclusion in the program after review by two members of the program committee.
Efficient Searching in Peer-to-Peer Networks Using Agent-Enabled Ant Algorithms

In this chapter we describe a mechanism to search for resources in unstructured peer-to-peer (P2P) networks using ant algorithms implemented through software agents. Traditional resource search algorithms in P2P networks use an uninformed or blind search among the various nodes of the network. In contrast, the resource search algorithm described in this chapter performs an informed search using the ant-based heuristic. In our algorithm, ants, implemented as software agents, are created in response to a user’s resource search query. An ant reinforces the route that yields a successful search for directing ants in the future towards nodes with higher probability of locating resources. We describe and compare different reinforcement strategies used by ants to perform efficient resource search in P2P networks.