Miracle-dz/UniFAR-FTUs huggingface dataset:
Robust Decision Making for Stochastic Network Design

We address the problem of robust decision making for stochastic network design. Our work is motivated by spatial conservation planning where the goal is to take management decisions within a fixed budget to maximize the expected spread of a population of species over a network of land parcels. Most previous work for this problem assumes that accurate estimates of different network parameters (edge activation probabilities, habitat suitability scores) are available, which is an unrealistic assumption. To address this shortcoming, we assume that network parameters are only partially known, specified via interval bounds. We then develop a decision making approach that computes the solution with minimax regret. We provide new theoretical results regarding the structure of the minmax regret solution which help develop a computationally efficient approach. Empirically, we show that previous approaches that work on point estimates of network parameters result in high regret on several standard benchmarks, while our approach provides significantly more robust solutions.
Ant Colony Optimization Applied to the Bike Sharing Problem

In this study, we analyze a single vehicle capacitated pickup and delivery problem, namely the bike sharing problem as seen in bike sharing systems around the world. We investigate previous works and formulate our own, novel algorithm for solving the bike sharing problem which is based on an ant colony optimization heuristic. Our algorithm takes into account the total distance traveled, and the distribution of the bikes within the system. We then test our algorithm on random data samples as well as real world data in order to compare our algorithm to other formulations.
How Relevant is the Irrelevant Data: Leveraging the Tagging Data for a Learning-to-Rank Model

For the task of tag-based item recommendations, the underlying tensor model faces several challenges such as high data sparsity and inferring latent factors effectively. To overcome the inherent sparsity issue of tensor models, we propose the graded-relevance interpretation scheme that leverages the tagging data effectively. Unlike the existing schemes, the graded-relevance scheme interprets the tagging data richly, differentiates the non-observed tagging data insightfully, and annotates each entry as one of the "relevant", "likely relevant", "irrelevant", or "indecisive" labels. To infer the latent factors of tensor models correctly to produce the high quality recommendation, we develop a novel learning-to-rank method, Go-Rank, that optimizes Graded Average Precision (GAP). Evaluating the proposed method on real-world datasets, we show that the proposed interpretation scheme produces a denser tensor model by revealing "relevant" entries from the previously assumed "irrelevant" entries. Optimizing GAP as the ranking metric, the quality of the recommendations generated by Go-Rank is found superior against the benchmarking methods.
A common limit of super Liouville theory and minimal models

We show that N = 1 supersymmetric Liouville theory can be continued to central charge c = 3/2, and that the limiting non-rational superconformal field theory can also be obtained as a limit of supersymmetric minimal models. This generalises a result known for the non-supersymmetric case. We present explicit expressions for the three-point functions of bulk fields, as well as a set of superconformal boundary states. The main technical ingredient to take the limit of minimal models consists in determining analytic expressions for the structure constants. In the appendix we show in detail how the structure constants of supersymmetric and Virasoro minimal models can be rewritten in terms of Barnes' double gamma functions.
EDA wavelet features as Social Anxiety Disorder (SAD) estimator in adolescent females

Social Anxiety Disorder(SAD) effects individual's social behaviour and results in excessive self-consciousness, negative judgmental thoughts and uncontrollable fear. It is visible not only in behavior but also pattern of physiological signals (such as electrodermal activity) of individuals as it is associated with autonomic nervous system (ANS). Previous studies have used various features of Electrodermal Activity (EDA) such as Mean SCR, Min SCR, Range, Slope and Max SCL etc to distinguish between groups of anxious and control group subject during rest and anxious task/situations. This research explores the use of EDA wavelet features to estimate the social anxiety disorder of female subjects via Multi Layer Perceptron (MLP). In this study joint time-frequency domain features of EDA signal via wavelet analysis were extracted. The Backward regression model with p<;0.05 was used in this study for feature selection. The machine learning algorithm developed in this research was able to classify the SAD with accuracy of 82.3% during training, 85.7% during testing and 80% in holdout cases.
A Study of Stemming Effects on Information Retrieval in Bahasa Indonesia

Stemming is a process which provides a mapping of different morphological variants of words into their base/common word (stem). This process is also known as conflation. Based on the assumption that terms which have a common stem will usually have similar meaning, the stemming process is widely used in Information Retrieval as a way to improve retrieval performance. In addition to its ability to improve the retrieval performance, the stemming process, which is done at indexing time, will also reduce the size of the index file. This thesis is about a study of stemming algorithms in Bahasa Indonesia, especially their effect on the information retrieval. We try to evaluate the existing stemmer for Bahasa Indonesia and compare it with a purely rule-based stemmer, which we created for this purpose. This rule-based stemmer is developed based on a study of morphological structure of Bahasa Indonesia words.
The Philosophical Foundations of a Radical Austrian Approach to Entrepreneurship

The equilibrium-based approaches that dominate entrepreneurship research offer useful insights into some aspects of entrepreneurship, but they ignore or downplay many fundamental entrepreneurial phenomena such as individuals’ creative imaginations, firms’ resource (re)combinations, and markets’ disequilibrating tendencies—and the genuine uncertainty and widespread heterogeneity these imply. To overcome these limitations, scholars have recently introduced a nonequilibrium approach to entrepreneurship based on Ludwig Lachmann’s “radical subjectivist” brand of Austrian economics. Here, this radical Austrian approach is extended beyond Lachmann to include the work of radical subjectivism’s other noted theorist: George Shackle. More important, the article extends entrepreneurship research by systematically comparing and contrasting the nascent, radical Austrian approach to entrepreneurship with three dominant equilibrium-based approaches: neoclassical, Kirznerian, and Schumpeterian economics. Specifically, the article (a) explicates the paradigmatic philosophical assumptions about the nature of individuals, firms, and markets that underlie these approaches; (b) demonstrates how metaphor is employed as a device to concretize these assumptions; (c) examines the research questions that arise from the assumptions these metaphors reflect; and (d) uses the Japanese “beer wars” of the 1980s and 1990s to illustrate one methodological approach (hermeneutics) researchers can adopt to apply these assumptions, metaphors, and questions to study entrepreneurial phenomena from a radical subjectivist perspective.
The night is young: urban crowdsourcing of nightlife patterns

We present a mobile crowdsourcing study to capture and examine the nightlife patterns of two youth populations in Switzerland. Our contributions are three fold. First, we developed a smartphone application to capture data on places, social context and nightlife activities, and to record mobile videos capturing the ambiance of places. Second, we conducted an "in-the-wild" study with more than 200 participants over a period of three months in two Swiss cities, resulting in a total of 1,394 unique place visits and 843 videos that spread across place categories (including personal homes and public parks), social and ambiance variables. Finally, we investigated the use of automatic ambiance features to estimate the loudness and brightness of places at scale, and found that while features are reliable with respect to video content, videos do not always reflect the place ambiance reported by people in-situ. We believe that the developed methodology provides an opportunity to understand the physical mobility, activities, and social context of youth as they experience different aspects of nightlife.
A critical ethnographic study of misrecognition of identities, agency and belonging of British Pakistani Muslim teachers in their educational and social contexts

From 9/11 to Cameron’s post multiculturalism (2011); British Asian Muslim identities and belonging have increasingly been questioned, stereotyped and vilified. Historically, their identities, agency and belonging formation have been seen in terms of passiveness and identity conflict, whereas, more recently their identities are coming to be seen in the frames of radicalism, fundamentalism, segregation, and disloyalty. In this research, I critically studied the life histories of four British Pakistani Muslim teachers, both male and female, in their educational and social contexts. Data were collected using four ethnographic ‘problem centred’ interviews for each participant. The study drew on normative ideas from misrecognition theory to build a critical argument about their identities, agency and belonging in Britain. My participants counter performed the naturalised cultural-political, and socio-historical discourses outlined above. Furthermore, I claim that my participants perform multicultural liberal conception of difference about their identities through four specific strategies; performance of interruptive and strategic existentialism; performance of resilience and adaptability; performance of hybridisation and creativity; and the performance of ‘strategic essentialism’. My thesis challenges the dominant Western thinking which mainly views religion in terms of belief. I argue that my participants perform religion as culture and practice. My understanding of the participants’ data is that religion is an identity orientation along with other identities which I reveal through my data analysis. My analysis leads me to a new perception to which I call the participants’ performance of ‘Multilingual social consciousness’. I argue that they perform multilingualism as an engaged plural form of social consciousness that helps them perform their identities in pluralising and synthesising ways, register their belonging in terms of forging and re-forging their cultural and cross-cultural connections, and manifest their politicisation over redistributive justice. I recommend that educators and policy actors should advance civic praxis that opens possibilities for communities and individuals to manifest their belonging in diverse ways.
Type III Neuregulin-1 Is Required for Normal Sensorimotor Gating, Memory-Related Behaviors, and Corticostriatal Circuit Components

Neuregulin-1 (Nrg1)/erbB signaling regulates neuronal development, migration, myelination, and synaptic maintenance. The Nrg1 gene is a schizophrenia susceptibility gene. To understand the contribution of Nrg1 signaling to adult brain structure and behaviors, we studied the regulation of type III Nrg1 expression and evaluated the effect of decreased expression of the type III Nrg1 isoforms. Type III Nrg1 is transcribed by a promoter distinct from those for other Nrg1 isoforms and, in the adult brain, is expressed in the medial prefrontal cortex, ventral hippocampus, and ventral subiculum, regions involved in the regulation of sensorimotor gating and short-term memory. Adult heterozygous mutant mice with a targeted disruption for type III Nrg1 (Nrg1tm1.1Lwr+/−) have enlarged lateral ventricles and decreased dendritic spine density on subicular pyramidal neurons. Magnetic resonance imaging of type III Nrg1 heterozygous mice revealed hypofunction in the medial prefrontal cortex and the hippocampal CA1 and subiculum regions. Type III Nrg1 heterozygous mice also have impaired performance on delayed alternation memory tasks, and deficits in prepulse inhibition (PPI). Chronic nicotine treatment eliminated differences in PPI between type III Nrg1 heterozygous mice and their wild-type littermates. Our findings demonstrate a role of type III Nrg1 signaling in the maintenance of corticostriatal components and in the neural circuits involved in sensorimotor gating and short-term memory.
Dendrochronology: a review with emphasis on New Zealand applications

The distinction is drawn in this paper between true dendrochronological studies (using crossdating) and studies using tree-ring counts to age trees or date events. The advantages of the former approach are emphasized. We summarize the main methods used in dendrochronology, concentrating on new approaches and techniques important in the New Zealand context, present a review of recent dendrochronological research in New Zealand, and finally discuss applications of dendrochronology relevant to New Zealand.
Human-Robot Interaction in Concept Acquisition: a computational model

This paper presents a discussion and simulation results which support the case for interaction during the acquisition of conceptual knowledge. Taking a developmental perspective, we first review a number of relevant insights on word-meaning acquisition in young children and specifically focus on concept learning supported by linguistic input. We present a computational model implementing a number of acquisition strategies, which enable a learning agent to actively steer the learning process. This is contrasted to a one way learning method, where the learner does not actively influence the learning experience. We present results demonstrating how dyadic interaction between a teacher and learner may result in a better acquisition of concepts.
Secondary English Teachers' Perceptions and Expectations of High School Athletes

In the United States, there are currently over seven million high school athletes, all of whom are required to take four years of core classes as well as elective classes. Core subject areas consist of math, science, social sciences, and English language arts. Of the four core subject areas, both national and state education committees place emphasis and scrutiny on English language arts. The research within this thesis, conducted in the form of an interview, is meant to explore English language arts teachers’ possible attitudes and expectations of their student athletes in concern to their writing abilities. Special emphasis will be placed on secondary English language arts teachers’ perceptions of student-athletes’ use of the standard conventions of English, such as spelling, punctuation, syntax, and grammar, within their writing. The results of four interviews with secondary English language arts teachers revealed that these secondary English language arts teachers did not hold different perceptions of their student-athletes writing abilities as compared to their non-athlete peers. All four participants revealed that they believe that the student-athletes in their classroom have the same writing abilities as non-athletes, and that being labeled as a student-athlete does not give way to either positive or negative perception of their writing. This exploratory study is beneficial to both student-athletes and English language arts teachers, as it may have the ability to affect change in the way that teachers approach and teach their student-athletes.
Emotional job demands within helping professions: Psychometric properties of a version of the Emotional Job Demands scale.

People working in helping professions are particularly exposed to emotional demands at work, as emotional situations are a typical component of helping relationships with service users. The main aim of this study is to test the psychometric properties of the Emotional Job Demands brief scale proposed by Xanthopoulou, Bakker, and Fischbach (2013) in the Italian context. The sample consisted of 302 Italian healthcare professionals. Exploratory, confirmatory, and multigroup factor analyses showed that the scale had a two-correlated factor structure which was invariant across gender, age, and professional seniority. The first factor — called “emotional charge of job” — captures the perceived emotional charge of a job and the second factor — called “dealing with users’ complaints” — captures the emotional demands of dealing with negative relationships with service users. The two factors were correlated with other constructs, as expected. The practical implications, limitations of the study, and possible future research lines are discussed.
Supervised Representation Learning: Transfer Learning with Deep Autoencoders

Transfer learning has attracted a lot of attention in the past decade. One crucial research issue in transfer learning is how to find a good representation for instances of different domains such that the divergence between domains can be reduced with the new representation. Recently, deep learning has been proposed to learn more robust or higherlevel features for transfer learning. However, to the best of our knowledge, most of the previous approaches neither minimize the difference between domains explicitly nor encode label information in learning the representation. In this paper, we propose a supervised representation learning method based on deep autoencoders for transfer learning. The proposed deep autoencoder consists of two encoding layers: an embedding layer and a label encoding layer. In the embedding layer, the distance in distributions of the embedded instances between the source and target domains is minimized in terms of KL-Divergence. In the label encoding layer, label information of the source domain is encoded using a softmax regression model. Extensive experiments conducted on three real-world image datasets demonstrate the effectiveness of our proposed method compared with several state-of-the-art baseline methods.
Cognitive Research in Information Systems

The existence and significance of cognition in organizations and its influence on patterns of behaviour in organizations and organizational outcomes are increasingly accepted in information systems (IS) research (Barley, 1986; DeSanctis & Poole, 1994; Griffith, 1999; Griffith & Northcraft, 1996; Orlikowski, 1992, 1994 #208). However, assessing the commonality and individuality in cognition and eliciting the subjective understanding of research participants either as individuals or as groups of individuals remain a chal-lenge to IS researchers (Orlikowski & Gash, 1994). Various methods for studying cognition in organizations have been offered - for example, clinical interviewing (Schein, 1987), focus groups (Krueger, 1988), discourse-based interview-ing (Odell, Goswami & Herrington, 1983). This article proposes that cognition applied to making sense of IT in organizations can also be explored using Kelly’s (1955) Personal Construct Theory and its methodological exten-sion, the Repertory Grid (RepGrid). The RepGrid can be used in IS research for uncovering the constructs research participants use to structure and interpret events relating to the development, implementation, use and management of IS in organizations. In the context of this article, cognition is considered to be synonymous with subjective understanding: “the everyday common sense and everyday meanings with which the ob-served human subjects see themselves and which gives rise to the behaviour that they manifest in socially constructed settings” (Lee, 1991, p. 351). Research into cognition in organizations investigates the subjective understanding of individual members within the organization and the simi-larities and differences in the understandings among groups of individuals (Jelinek & Litterer, 1994; Porac & Thomas, 1989). In IS research, it is the personal constructs managers, users and IS professionals use to interpret and make sense of information technology (IT) and its role in organizations. The discussion here outlines the myriad of ways the RepGrid can be employed to address specific research objectives relating to subjective understanding and cognition in organizations. It illustrates, from a variety of published studies in IS (see Table 1), the flexibility of the RepGrid to support both qualitative and/or quantitative analyses of the subjective understandings of research participants.
Rituximab-augmented myeloablation for first-line autologous stem cell transplantation for mantle cell lymphoma: effects on molecular response and clinical outcome.

BACKGROUND AND OBJECTIVES Autologous stem cell transplantation (ASCT) is effective in mantle cell lymphoma (MCL). We investigated whether incorporation of rituximab into the high-dose regimen might further improve the results of ASCT in patients with MCL. DESIGN AND METHODS In a prospective phase II study, patients with newly diagnosed MCL were treated with a sequential dose-escalating therapy comprising standard chemotherapy for remission induction, intensive ara-C-containing chemotherapy for mobilization of stem cells, and myeloablative therapy followed by ASCT. The myeloablative regimen consisted of total body irradiation and high-dose cyclophosphamide supplemented with two doses (375 mg/m3) of rituximab. Outcome parameters (toxicity, clinical and molecular response as assessed by allele-specific IGH real-time quantitative polymerase chain reaction (RQ-PCR), event-free survival, and overall survival) were compared with those of 34 historical controls treated identically but without rituximab. RESULTS Thirty-four patients were accrued. Whereas engraftment, toxicity and clinical response were not different from those in controls, event-free survival was significantly increased with rituximab (not reached vs. 43 months; hazard ratio 0.38; p=0.036). This was associated with a trend for a superior molecular response rate in 11 study vs. 10 control patients with a marker available (73% vs. 30%, p=0.086) despite similar levels of lymphoma contamination of the stem cell inocula infused. INTERPRETATION AND CONCLUSIONS Incorporation of two standard doses of rituximab into the myeloablative regimen might improve outcome of up front ASCT for MCL, allowing long-term disease control to an extent previously not reached in this disease.