Miracle-dz/UniFAR-FTUs huggingface dataset:
How Big Hadoop Clusters Break in the Real World

Hadoop is among today’s most widely deployed “big data” systems. Cloudera is a company offering paid Hadoop services and support. This poster abstract describes lessons from examining a sample of 293 support tickets, from February through July of 2011. We manually labelled the tickets in our sample with the established root cause and the specific system component being worked on. Tickets cover not only the core Hadoop filesystem and MapReduce implementation, but other services, such as HBase, a BigTable clone, and the Zookeeper coordination service.
Cooperative or Controlling? The Effects of CEO-Board Relations and the Content of Interlocks on the Formation of Joint Ventures

This study examines the influence of the social network of board interlocks on strategic alliance formation. Our theoretical framework suggests how board interlock ties to other firms can increase or decrease the likelihood of alliance formation, depending on the content of relationships between CEOs (chief executive officers) and outside directors. Results suggest that CEO-board relationships characterized by independent board control reduce the likelihood of alliance formation by prompting distrust between corporate leaders, while CEO-board cooperation in strategic decision making appears to promote alliance formation by enhancing trust. The findings also show how the effects of direct interlock ties are amplified further by third-party network ties.
User selection and resource allocation algorithm with fairness in MISO-OFDMA

The problem of user selection and resource allocation for the downlink of wireless systems operating over a frequency-selective channel is investigated. It is assumed that the Base Station (BS) uses many antennas, whereas a single antenna is available to each user. A suboptimal, but efficient algorithm is devised that is based on Zero Forcing (ZF) beamforming and on spatial correlation. The algorithm maximizes the sum of the users' data rates subject to constraints on total available power and proportional fairness among users' data rates. The main feature of it is the proportionality among users' data rates which is guaranteed as it is shown by simulations.
Remote Assistive Interpersonal Communication Exploiting Component Based Development

Assistive technology has been committed to offer a great deal towards facilitating the communication needs of the disabled. However, existing developments tend to focus primarily on face -to-face communication, thus leaving remote communication possibilities unattended or just "put aside". Remote communication for the disabled however, namely the ability to correspond over a public or computer network and especially the Internet, either by transmitting written messages, voice mailing or even participating in a teleconference, is of paramount importance nowadays. In this paper we present the development of a new generation of flexible, open, adaptable, configurable and cost-effective aids supporting both interactive and non interactive remote/ distance interpersonal communication. Details on the requirements, properties, components and services for remote interpersonal communication along with specific component development are given. The implementations presented comform to the recently introduced ATIC (Access to Interpersonal Communication) application development framework which exploits Component Based Software Development technology to maximize modularity and reusability.
SVMs for Histogram Based Image Classification

Traditional classification approaches generalize poorly on image classification tasks, because of the high dimensionality of the feature space. This paper shows that Support Vector Machines (SVM) can generalize well on difficult image classification problems where the only features are high dimensional histograms. Heavy-tailed RBF kernels of the form K(x,y) = e−ρ P i |x i −y i | with a ≤ 1 and b ≤ 2 are evaluated on the classification of images extracted from the Corel Stock Photo Collection and shown to far outperform traditional polynomial or Gaussian RBF kernels. Moreover, we observed that a simple remapping of the input xi → x a i improves the performance of linear SVMs to such an extend that it makes them, for this problem, a valid alternative to RBF kernels. keywords: Support Vector Machines, Radial Basis Functions, Image Histogram, Image Classification, Corel.
Future Computers: Logic, Data Flow, ..., Control Flow?

The following potential architectures for future computers are examined: (1) fifth-generation computers, (2) supercomputers, (3) VLSI processor architectures, and (4) integrated communications and computers. The authors attempt to determine the ideal choice or combination of choices that will allow both computational control and system flexibility. They propose an evolutionary approach involving decentralized control flow. 28 references.
El panorama educatiu de l’era digital: pràctiques comunicatives que (ens) impulsen cap endavant

This paper identifies trends in the emerging models of knowledge production available in our society. We suggest it is crucial not only to be aware of these emerging models but also to be open to opportunities and possibilities that may still develop. We consider how people may express different levels of solidarity and commitment to these trends and models in their information consumption and distribution processes. We discuss how educators are now engaging in profound pedagogical renewal by expressing deeper levels of solidarity and commitment to knowledge production and educational projects through professional and personal interactions. These interactions are producing pedagogical models that allow both teachers and learners to become knowledgeable while simultaneously breaking away from domain conventions. These bottom-up pedagogies foster creativity, collaboration and the use of new digital tools. They are driven by learner interests and, as such, have the potential to bring the joy back into the learning process. Finally, we argue that emerging models of knowledge construction mediated by ICT provide new cultural landscapes and ecologies of learning that disrupt traditional inscriptions of individual identities and racial-cultural affinities.
How Could a Boy Influence a Girl?

A boy wants to make friends with a pretty girl. He feels that he may get rejected if he invites her directly. In this situation, what he could do is to influence the girl's friends. Similar situations may occur in social activities. Based on this background, we formulate a new optimization problem, the Target Influence Maximization (TIM) problem and show that this problem can be solved in polynomial-time in networks with no directed cycles. Motivated by this, we study a special strategy to construct solutions for TIM, i.e., The Target Influence Maximization through Sub graph without Directed Cycle (TIMSDC). Two polynomial-time approximation algorithms are designed for TIMSDC. Through extensive experiments on real-world data sets, we demonstrate that our algorithms work efficiently and outperform existing methods.
An investigation into the impact of an integrated curriculum on learning in the primary school

This thesis investigates cross curricular models (integrated curricula) and explores claims by advocates of such models that they enhance learning. A Case Study describes a primary school’s journey in developing its curriculum and pedagogy and highlights the questions that were asked and which relate to the theoretical accounts of knowledge and integrating curricula outlined in the study. It traces the origins of cross curricular studies to Dewey and the pragmatist view of knowledge and in the UK to the Plowden Report (1967). Exploring some cross curricular models, it indicates that they may do little to enhance learning as links between subjects can be spurious with the focus often on developing skills rather than knowledge, skills and understanding due to the constructivist origins on which these models have been based. Links between curriculum and pedagogy are investigated and it is suggested that developing a deeper understanding of knowledge and its concepts demands a more active approach to learning. Questioning the absence of any theory of knowledge by many modern curriculum designers, it also explores the social realist approach to knowledge which justifies bringing knowledge back into the school curriculum. It claims that the complex connections between subjects at a conceptual level make integration possible and will demand a more active learning process resulting in a deeper understanding of knowledge. Skills are developed through the logical demands and modes of enquiry of the school subjects and not through skills based models in which they are taught context free. A comparison is made between a cross curricular topic through a traditional approach and an approach through a conceptual lens which involves a deeper study of the individual subjects, brings a sharper focus to the study and allows generalisations to be made.
Leptin--a growth factor in normal and malignant breast cells and for normal mammary gland development.

BACKGROUND Obesity is a risk factor for breast cancer in postmenopausal women. As body weight and fat mass increase, circulating leptin increases. Leptin is an adipocyte-derived cytokine that acts through the long form of its receptor, termed OB-Rb. To investigate whether leptin is associated with breast cancer, we determined the expression of OB-Rb in human breast epithelial HBL100 cells and human breast carcinoma-derived T-47D cells, determined whether leptin influenced the proliferation of these cells, and evaluated the structure of mammary tissue in genetically obese leptin-deficient Lep(ob)Lep(ob) and leptin receptor-deficient Lepr(db)Lepr(db) mice. METHODS Cell numbers and cell colony formation by HBL100 and T-47D cells were determined by anchorage-dependent and anchorage-independent growth assays. OB-Rb expression was examined by reverse transcription-polymerase chain reaction and immunoblot analyses. Expression of leptin signaling pathway components was evaluated with immunoblot and electrophoretic mobility shift assays. Mammary gland development in lean and obese mice was investigated in whole-mount studies. All statistical tests were two-sided. RESULTS Leptin enhanced anchorage-dependent proliferation by 138% (95% confidence interval [CI] = 108% to 169%) in T-47D cells and 50% (95% CI = 38% to 60%) in HBL100 cells. In both cell lines, OB-Rb was expressed, and leptin increased the expression of phosphorylated signal transducers and activators of transcription 3 (STAT3), phosphorylated extracellular signal-regulated kinase (ERK), and transcript activator protein 1 (AP-1). However, leptin increased anchorage-independent cell growth only in the breast cancer cell line (by 81% [95% CI = 62% to 101%] compared with untreated cells). Obese Lep(ob)Lep(ob) and Lepr(db)Lepr(db) mice had minimal epithelial development in the mature mammary gland compared with their lean counterparts. CONCLUSIONS Leptin appears to be able to control the proliferation of both normal and malignant breast epithelial cells. Consequently, the leptin pathway should be further studied as a target for interventions to treat or prevent breast cancer.
Suppression of the Jahn-Teller Effect in Nanoparticles: AgCl Nanocrystals Embedded in KCI Matrix

Abstract : A strong decrease in the g-factor anisotropy was revealed by optically detected magnetic resonance for self-napped Jahn-Teller holes (both isolated and forming self-trapped excitons) in AgCl nanocrystals embedded into the KCl crystal lattice. This implies a considerable suppression of the Jahn-Teller (J-T) effect in nanoparticles. A rather general mechanism of the suppression of the Jahn-Teller effect in nanocrystals is developed taking into account the additional deformation field appearing because of the strong vibronic interaction at the interface.
Is margin preserved after random projection?

Random projections have been applied in many machine learning algorithms. However, whether margin is preserved after random projection is non-trivial and not well studied. In this paper we analyse margin distortion after random projection, and give the conditions of margin preservation for binary classification problems. We also extend our analysis to margin for multiclass problems, and provide theoretical bounds on multiclass margin on the projected data.
Electric Guitar Playing Technique Detection in Real-World Recording Based on F0 Sequence Pattern Recognition

For a complete transcription of a guitar performance, the detection of playing techniques such as bend and vibrato is important, because playing techniques suggest how the melody is interpreted through the manipulation of the guitar strings. While existing work mostly focused on playing technique detection for individual single notes, this paper attempts to expand this endeavor to recordings of guitar solo tracks. Specifically, we treat the task as a time sequence pattern recognition problem, and develop a twostage framework for detecting five fundamental playing techniques used by the electric guitar. Given an audio track, the first stage identifies prominent candidates by analyzing the extracted melody contour, and the second stage applies a pre-trained classifier to the candidates for playing technique detection using a set of timbre and pitch features. The effectiveness of the proposed framework is validated on a new dataset comprising of 42 electric guitar solo tracks without accompaniment, each of which covers 10 to 25 notes. The best average F-score achieves 74% in two-fold cross validation. Furthermore, we also evaluate the performance of the proposed framework for bend detection infive studio mixtures, to discuss how it can be applied in transcribing real-world electric guitar solos with accompaniment.
Comparison of Temperament and Character in Major Depressive Disorder Versus Bipolar II Disorder

Objective: The aim was to determine how personality of major depressive disorder (MDD) patients is different from that of bipolar II disorder (BIID) patients. Methods: In this cross-sectional study, two groups of patients with MDD (47 patients) and BIID (45 patients) between 18 and 55 years old were included and compared. The research instrument that subjects answered to was Temperament and Characteristic Inventory-125-R. Results: Among temperament dimensions, novelty seeking, and reward-dependently in contrast with other traits such as harm avoidance and persistence showed a significant difference between the two studied groups. Among characteristic dimensions, self-direction and self-transcendence demonstrated a significant difference between the two groups (p < 0.005). Conclusion: Patients suffering from BIID are sensation seeker and are motivated by stimulates more often than MDD patients are. They feel euphoria more and, find the world more stimulating.
The Reliability of Anaphoric Annotation, Reconsidered: Taking Ambiguity into Account

We report the results of a study of the reliability of anaphoric annotation which (i) involved a substantial number of naive subjects, (ii) used Krippendorff's ? instead of K to measure agreement, as recently proposed by Passonneau, and (iii) allowed annotators to mark anaphoric expressions as ambiguous.
Regeneration of Pancreatic Non-β Endocrine Cells in Adult Mice following a Single Diabetes-Inducing Dose of Streptozotocin

The non-β endocrine cells in pancreatic islets play an essential counterpart and regulatory role to the insulin-producing β-cells in the regulation of blood-glucose homeostasis. While significant progress has been made towards the understanding of β-cell regeneration in adults, very little is known about the regeneration of the non-β endocrine cells such as glucagon-producing α-cells and somatostatin producing δ-cells. Previous studies have noted the increase of α-cell composition in diabetes patients and in animal models. It is thus our hypothesis that non-β-cells such as α-cells and δ-cells in adults can regenerate, and that the regeneration accelerates in diabetic conditions. To test this hypothesis, we examined islet cell composition in a streptozotocin (STZ)-induced diabetes mouse model in detail. Our data showed the number of α-cells in each islet increased following STZ-mediated β-cell destruction, peaked at Day 6, which was about 3 times that of normal islets. In addition, we found δ-cell numbers doubled by Day 6 following STZ treatment. These data suggest α- and δ-cell regeneration occurred rapidly following a single diabetes-inducing dose of STZ in mice. Using in vivo BrdU labeling techniques, we demonstrated α- and δ-cell regeneration involved cell proliferation. Co-staining of the islets with the proliferating cell marker Ki67 showed α- and δ-cells could replicate, suggesting self-duplication played a role in their regeneration. Furthermore, Pdx1(+)/Insulin(-) cells were detected following STZ treatment, indicating the involvement of endocrine progenitor cells in the regeneration of these non-β cells. This is further confirmed by the detection of Pdx1(+)/glucagon(+) cells and Pdx1(+)/somatostatin(+) cells following STZ treatment. Taken together, our study demonstrated adult α- and δ-cells could regenerate, and both self-duplication and regeneration from endocrine precursor cells were involved in their regeneration.
Non-Classical ProIL-1beta Activation during Mammary Gland Infection Is Pathogen-Dependent but Caspase-1 Independent

Infection of the mammary gland with live bacteria elicits a pathogen-specific host inflammatory response. To study these host-pathogen interactions wild type mice, NF-kappaB reporter mice as well as caspase-1 and IL-1beta knockout mice were intramammarily challenged with Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus). The murine mastitis model allowed to compare the kinetics of the induced cytokine protein profiles and their underlying pathways. In vivo and ex vivo imaging showed that E. coli rapidly induced NF-kappaB inflammatory signaling concomitant with high mammary levels of TNF-alpha, IL-1 alpha and MCP-1 as determined by multiplex analysis. In contrast, an equal number of S. aureus bacteria induced a low NF-kappaB activity concomitant with high mammary levels of the classical IL-1beta fragment. These quantitative and qualitative differences in local inflammatory mediators resulted in an earlier neutrophil influx and in a more extensive alveolar damage post-infection with E. coli compared to S. aureus. Western blot analysis revealed that the inactive proIL-1beta precursor was processed into pathogen-specific IL-1beta fragmentation patterns as confirmed with IL-1beta knockout animals. Additionally, caspase-1 knockout animals allowed to investigate whether IL-1beta maturation depended on the conventional inflammasome pathway. The lack of caspase-1 did not prevent extensive proIL-1beta fragmentation by either of S. aureus or E. coli. These non-classical IL-1beta patterns were likely caused by different proteases and suggest a sentinel function of IL-1beta during mammary gland infection. Thus, a key signaling nodule can be defined in the differential host innate immune defense upon E. coli versus S. aureus mammary gland infection, which is independent of caspase-1.
The Use of Locality Information on Data Intensive Parallel File Systems

Many recent data intensive parallel systems builds with cost effective hardware and combine compute and storage facilities. Since bandwidth-bisecting networks are the norm, distributing jobs near data provides significant performance improvements. However, the data locality information is not easily available to the programmer. It requires interaction with file system internals, or the adoption of a custom programming and run-time frameworks that provide locality-aware job scheduling, such as Mapreduce and Hadoop. In this paper, we present a parallel file system implementation combined with virtual files presented as text that can be queried for locality data or written to control the placement of new data blocks. This simplifies how software that do not adhere to Mapreduce's model can benefit from computing near the data. To evaluate the proposed approach, a number of tests were run on an initial implementation using fast disks, with locality-aware cases showing from 2 to 9 times faster reads and higher processor utilization.
Construction Digital Library towards Resources Sharing in the ASEAN Countries

—In modem society, information resources have become important strategic resources for our survival and development. Sharing information resources is a common aspiration. Document resources sharing is the basis of modem document services, and also the working target of the document workers and the key point is the development of digital resources. The purpose of digital resources development is to use and share library information resources effectively, and ultimately fulfill the Southeast Asia and global sharing. It is impossible for any single library, region or country to achieve the digital resources development alone, but to make libraries in various trades and industries and of the whole world play their roles to carry out the development and sharing. This paper discusses the necessity, feasibility and benefits, of developing and sharing Asian library digital document resources, analyses the significance of library digital document resources development and sharing, puts forward some suggestions on ways of Asian library digital document resources sharing in the network environment. This paper focuses on the necessity, feasibility and benefits, of developing and sharing Asian library digital document resources, analyses the significance of library digital document resources development and sharing, puts forward some suggestions on ways of Southeast Asia library digital document resources sharing.
Cognitive behavioural therapy in the treatment of social skills deficits and social phobia in a man with an autism spectrum disorder: a single-case study

Abstract Autism spectrum disorders (ASD) including high-functioning types such as Asperger's syndrome (AS) are diagnosed when there is evidence of a triad of qualitative impairments in social interaction, communication, and stereotyped/repetitive behaviours. It is not uncommon for these impairments to be accompanied by social anxiety. The present single-case study investigates the use of cognitive behavioural therapy (CBT) to treat a 47-year-old man who was assessed as having difficulties with social skills and social phobia in the context of a late diagnosis of AS. He received 20 h of CBT adapted for his AS in 15 sessions including a 1-month follow-up. Following a highly individualized formulation, treatment included modelling, role-playing, reinforcement, thought challenging, and behavioural experimentation. Results from five self-report measures showed continued improvements from the start of therapy to follow-up in social anxiety, global distress, depression and self-esteem. The client gave positive feedback about his experience of treatment. The case study is discussed with reference to limitations and some reflections for CBT in ASD.