Miracle-dz/UniFAR-FTUs huggingface dataset:
Listening to boys write – an exploration of the complex relationship between 10 year-old boys’ writing practices and their evolving identities

Being literate has long been considered essential in order for individuals to make their way in the adult world, become productive and contribute to society (Olson, 1994). However, across the western world there appears to be a literacy crisis in the form of a gender gap in which ‘boys do less well than girls’ (Moss, 2007: 13). As a result, boys have been categorised as a problem (Clandinin et al, 2006). Previous research has focused on solving the ‘boy problem’, however, this study offers an alternative perspective in that it explores the complex relationship between pre-adolescent boys’ writing practices and their evolving identities in the domains of school and home. The study draws on sociocultural theories of New Literacy Studies and the concept of ‘Figured Worlds’, as described by Holland et al (1998) in order to consider how three 10 year-old boys participate in the production of themselves as writers and the impact of adult mediation on the boys’ developing identities as writers both at home and in school. This comparative case study is informed by both ethnography and narrative inquiry in order to produce three rich narrative accounts which are centred around the boys’ writing practices both in and out of school. Each narrative offers a unique insight into each boy’s life and their perception of what it means to be a writer through an exploration of their experiences, their ambitions and their relationships with people, technology and curriculum. The narratives are then compared to reveal key themes which highlight the ways in which wider policy and institutional demands influence local practices which in turn impacts on the boys’ identity formation. The significant findings relate to a common theme of relationships. Findings suggest that writing practices are bound to close familial relationships and to each family’s figurative or narrativised identity. Therefore, educators may need to look beyond engaging experiences in the classroom to the space and structures of homes in order to both fully understand boys’ meaning making and to inform their assessments of boys as writers. This extends the current research on early mark making and relationships in pre-school children to this under-explored group of pre-adolescent boys. In addition, the findings also suggest that the way in which schools engage with digital practices will have to be carefully considered if children are to understand digital communications as being writing and not talking. Therefore, the findings offer an alternative perspective to the two great divides in literacy, those being school and home and speaking and writing.
INSTRE

Over the last several decades, researches on visual object retrieval and recognition have achieved fast and remarkable success. However, while the category-level tasks prevail in the community, the instance-level tasks (especially recognition) have not yet received adequate focuses. Applications such as content-based search engine and robot vision systems have alerted the awareness to bring instance-level tasks into a more realistic and challenging scenario. Motivated by the limited scope of existing instance-level datasets, in this article we propose a new benchmark for INSTance-level visual object REtrieval and REcognition (INSTRE). Compared with existing datasets, INSTRE has the following major properties: (1) balanced data scale, (2) more diverse intraclass instance variations, (3) cluttered and less contextual backgrounds, (4) object localization annotation for each image, (5) well-manipulated double-labelled images for measuring multiple object (within one image) case. We will quantify and visualize the merits of INSTRE data, and extensively compare them against existing datasets. Then on INSTRE, we comprehensively evaluate several popular algorithms to large-scale object retrieval problem with multiple evaluation metrics. Experimental results show that all the methods suffer a performance drop on INSTRE, proving that this field still remains a challenging problem. Finally we integrate these algorithms into a simple yet efficient scheme for recognition and compare it with classification-based methods. Importantly, we introduce the realistic multiobjects recognition problem. All experiments are conducted in both single object case and multiple objects case.
Controlling the HIV/AIDS epidemic: current status and global challenges

This review provides an overview of the current status of the global HIV pandemic and strategies to bring it under control. It updates numerous preventive approaches including behavioral interventions, male circumcision (MC), pre- and post-exposure prophylaxis (PREP and PEP), vaccines, and microbicides. The manuscript summarizes current anti-retroviral treatment options, their impact in the western world, and difficulties faced by emerging and resource-limited nations in providing and maintaining appropriate treatment regimens. Current clinical and pre-clinical approaches toward a cure for HIV are described, including new drug compounds that target viral reservoirs and gene therapy approaches aimed at altering susceptibility to HIV infection. Recent progress in vaccine development is summarized, including novel approaches and new discoveries.
Anticipating Information Needs: Everyday Applications as Interfaces to Internet Information Resources

This paper outlines work on a class of systems called Personal Information Management Assistants (PIMAs). PIMAs observe user interaction with everyday applications and use these observations to anticipate a user's information needs. They then automatically fulfill these needs by accessing Internet information sources, filtering the results, and presenting them to the user. They allow everyday applications to serve as interfaces for traditional information retrieval systems (e.g., Internet search engines) . The paper presents preliminary work on an architecture for this class of systems and progress in implementing such a system, including finding relevant pages (i.e., query construction and information filtering) and exploiting structural clues. Preliminary results and directions for future work are also discussed. Two tables present output of a query generated from a page on Java standardization and results of clustering responses; three figures show the PIMA architecture and examples of displays suggesting relevant World Wide Web pages and images. (Author/AEF) ******************************************************************************** * Reproductions supplied by EDRS are the best that can be made * * from the original document. * ******************* ***** ********************************************************
Stratosphere‐troposphere exchange: Inferences from the isotopic composition of water vapor

Air may cross the tropical tropopause either by gradual ascent or in localized episodes associated with convection. While observations demonstrate that water vapor mixing ratios of air entering the tropical stratosphere are consistent with the mean tropical tropopause temperature, they do not resolve key mechanistic questions, such as the relative contribution of gradual or episodic transport, or the role of thin cirrus. As Moyer et al. [1996] clearly argue, observations of the isotopic content of water entering the tropical stratosphere can provide a strong constraint on models of water vapor transport across the tropopause. For example, stratospheric HDO is too abundant to be compatible with the assumption that all moisture enters the stratosphere as vapor during convection. Analysis of recent H218O observations shows that kinetic effects cannot explain the HDO excess. Lofting and evaporation of cloud ice can explain the observed stratospheric water vapor content and its isotopic composition, but the relative importance of gradual or episodic transport remains unresolved.
revDroid: Code Analysis of the Side Effects after Dynamic Permission Revocation of Android Apps

Dynamic revocation of permissions of installed Android applications has been gaining popularity, because of the increasing concern of security and privacy in the Android platform. However, applications often crash or misbehave when their permissions are revoked, rendering applications completely unusable. Even though Google has officially introduced the new permission mechanism in Android 6.0 to explicitly support dynamic permission revocation, the issue still exists. In this paper, we conduct an empirical study to understand the latest application practice post Android 6.0. Specifically, we design a practical tool, referred to as revDroid, to help us to empirically analyze how often the undesirable side effects, especially application crash, can occur in off-the-shelf Android applications. From the analysis of 248 popular applications from Google Play Store, revDroid finds out that 70% applications and 46% permission-relevant calls do not appropriately catch exceptions caused by permission revocation, while third-party libraries pay much more attention to permission revocation. We also use revDroid to analyze 132 recent malware samples. The result shows that only 27% malwares and 36% permission-relevant API calls of malwares fail to consider the permission revocation. In fact, many of them perform specialized handling of permission revocation to keep the core malicious logic running. Finally, revDroid can be used to help developers uncover the unhandled permission revocations during development time and greatly improve the application quality.
Multilevel inverter based electric spring for voltage regulation and active reactive power control

Nowadays electric power generation from renewable sources of energy is growing vastly. In India; twenty eight percent of total power is being generated using non-renewable sources like solar; wind; biogas etc. The power generated is fed to the main grid via micro grid system. As the nature does not remain similar all the time; there is disturbance in wind velocity; intensity of solar radiation; etc. This results in the voltage fluctuation for short as well as long period. Some of the loads cannot withstand such variations; or to be specific; critical load. There are voltage and reactive power compensating devices such as DVR; DSTATCOM; SSSC etc. to overcome such problems. But it cannot be used at particular demand side due to its high cost. This paper gives an idea to mitigate the voltage of critical load by varying the voltage of non-critical load to some extent employing electric spring-MLI (5 levels).
RADII MINIMAL PROJECTIONS OF SIMPLICES AND CONSTRAINED OPTIMIZATION OF SYMMETRIC POLYNOMIALS

We provide a characterization of the radii minimal projections of general simplices onto j-dimensional subspaces in Euclidean space E. This characterization allows to reduce the computation of an outer radius to a computation in the circumscribing case or to the computation of an outer radius of a lower-dimensional simplex. In the second part of the paper, we use this characterization to determine the sequence of outer (n − 1)-radii of regular simplices (which are the radii of smallest enclosing cylinders). This settles a question which arose from the incidence that a paper by Weißbach (1983) on this determination was erroneous. In the proof, we first reduce the problem to a constrained optimization problem of symmetric polynomials and then to an optimization problem in a fixed number of variables with additional integer constraints.
A Method for Automatic Synthesis of Aged Human Facial Images

Age changes cause major variations in the appearance of human faces. Due to many lifestyle factors, it is difficult to precisely predict how individuals may look with advancing years or how they looked with "retreating" years. In this paper, we propose a new automatic aging scheme, which is ultimately to be used in face recognition applications. The method requires only one input image of a subject and produces an age progressed or regressed image of the person at a particular target age. To implement this training-based approach, over 800 high quality facial images ranging from 15 years to 99 years in age were collected from the Internet. After normalization, these data were used to train a Support Vector Regression Machine (SVM) to derive an age prediction function – a relationship between a facial image and its corresponding age. Signature images for a set of small age groups from our database were then created. Using these signature images as age prototypes, as well as the determined age prediction function, we then present a new age simulation technique. The proposed method preserves the identity of the subject while enforcing a realistic simulation of aging effects on adult facial images between 20 and 90 years old. In other words, given a single image of the subject and a target age, we construct a new image of the subject to reflect the new age. Such an image will be useful to predict a person’s aged face for use in face recognition systems.
Osteoarthritis in the XXIst Century: Risk Factors and Behaviours that Influence Disease Onset and Progression

Osteoarthritis (OA) is a growing public health problem across the globe, affecting more than half of the over 65 population. In the past, OA was considered a wear and tear disease, leading to the loss of articular cartilage and joint disability. Nowadays, thanks to advancements in molecular biology, OA is believed to be a very complex multifactorial disease. OA is a degenerative disease characterized by “low-grade inflammation” in cartilage and synovium, resulting in the loss of joint structure and progressive deterioration of cartilage. Although the disease can be dependent on genetic and epigenetic factors, sex, ethnicity, and age (cellular senescence, apoptosis and lubricin), it is also associated with obesity and overweight, dietary factors, sedentary lifestyle and sport injuries. The aim of this review is to highlight how certain behaviors, habits and lifestyles may be involved in the onset and progression of OA and to summarize the principal risk factors involved in the development of this complicated joint disorder.
GML Mapping Mechanism Based on Agent

This paper points out the demerits of current schema mapping methods for geography spatial information interoperability. GML mapping mechanism based on agent is proposed in order to create the mapping relationship among the heterogeneous data sources and accomplish GML data transform. The implementing framework of schema mapping and the structure of knowledge base are also given.
Christianity and Socially Imposed Monogamy: An Incomplete Explanation

Bonfield, l. (1991). "Church law and Family law in Medieval Western Christendom. " Continuity and Change 6:361-74. Brundage, J.A. (1987). Law, Sex, and Christian Society in Medieval Europe. Chicago: University of Chicago Press. Brundage, J.A. (1994). "Family Membership and Stability in Canon Law: Medieval Adoption. " Paper presented at the International Conference on Medieval Studies, University of leeds. Brundage, J.A. (1995). Medieval Canon Law. london: Longmans, forthcoming. Cod. (1963) =Codex lustinianus. Edited by P. KrOger. Berlin: Weidmann. Cod. Theod. (1905) =Codex Theodosianus. Edited by P. KrOgerand T. Mommsen. Berlin: Weidmann. Falcao, M. (1973). Las prohibiciones matrimoniales de caracter social en el imperio romano. Pamplona: EUNSA. Gaudemet, J. (1955). "La decision de Callixte en matiere de Roundtable Commentaries: Monogamy
A Survey of Geometric Vision

In this chapter we give a brief survey on basic geometric principles associated with machine vision. In particular, we introduce the basic theory and algorithms for the reconstruction of camera pose and scene structure from two views or more than two views. We discuss further reconstruction techniques from a single view, which utilize scene symmetry and nevertheless rely on the theory of multiple views. Since our survey focuses on only the very basics, references to more advanced studies will be provided after each topic. A few comprehensive examples of application of the algorithms are given at the end of the chapter.
Comparing the Neural Basis of Monetary Reward and Cognitive Feedback during Information-Integration Category Learning

The dopaminergic system is known to play a central role in reward-based learning (Schultz, 2006), yet it was also observed to be involved when only cognitive feedback is given (Aron et al., 2004). Within the domain of information-integration category learning, in which information from several stimulus dimensions has to be integrated predecisionally (Ashby and Maddox, 2005), the importance of contingent feedback is well established (Maddox et al., 2003). We examined the common neural correlates of reward anticipation and prediction error in this task. Sixteen subjects performed two parallel information-integration tasks within a single event-related functional magnetic resonance imaging session but received a monetary reward only for one of them. Similar functional areas including basal ganglia structures were activated in both task versions. In contrast, a single structure, the nucleus accumbens, showed higher activation during monetary reward anticipation compared with the anticipation of cognitive feedback in information-integration learning. Additionally, this activation was predicted by measures of intrinsic motivation in the cognitive feedback task and by measures of extrinsic motivation in the rewarded task. Our results indicate that, although all other structures implicated in category learning are not significantly affected by altering the type of reward, the nucleus accumbens responds to the positive incentive properties of an expected reward depending on the specific type of the reward.
Simulation Study of eLearning Classroom using iPads Based on Wireless LAN with IEEE 802.11b

This paper presents a simulation study of eLearning classroom using iPads as mobile devices based on the wireless LAN with IEEE 802.11b protocol. Moreover, this paper presents a simulation study whether the IEEE 802.11b can support up to 25 iPads of the eLearning classroom without fairness problems on a shared Wireless LAN. The simulation is performed by OPNET IT Guru Academic Edition 9.1.
Human Uniqueness from the Perspective of Evolutionary Anthropology and Cognitive Science

In this paper I explore the question of what is unique and special about modern humans (homo sapiens) from the perspective of evolutionary anthropology and cognitive science. I frst give a brief overview of the evolution of the human brain. Then I discuss six candidates for what makes human cognition unique: (1) the ability to adopt a shared perspective (2) symbolic, analogical reasoning (3) a Theory of Mind (4) the creation of a symbolic 'niche' with shared cultural artefacts and norms (5) mental time travel (6) language. Most importantly, a comparison of the sociocognitive capacities and motivations of humans and other primates indicates that humans might possess a unique adaptation for cultural interaction, transmission and learning. This is already evident in infants and young children, who show unique abilities and motivations in the domain of sharing intentions, understanding joint commitments, and sharing attention and other psychological states.
Global Image Search vs. Regional Search in CBIR Systems

The global image search and regional image search are compared by using content-based image retrieval system with user relevance feedback. It was expectable that regional search can minimize the effect of the background to the image retrieval. Images from database are partitioned into regular rectangular regions: 4times4 non-overlapped (NOV) regions and 3times3 overlapped (OV) regions, and a feature vectors are determined for whole images and for regions. Four CBIR scenarios are considered: global search, search based on 4times4 NOV regions, based on 3times3 OV regions and based on arbitrary cropped part of a query image. System is tested over images from Corel IK dataset.
Codes for wireless wiretap channels

In this presentation we are interested in coding for wiretap wireless channels. First part is devoted to design criteria, second part will deal with the codes themselves. Nested lattices are the main ingredients to be used. We start with the Gaussian wiretap channel where it is shown that theta series have to be minimized. Then we give some ideas in the case of fading wiretap channels. In part two, we give some results that help finding good lattice codes of moderate and high length. Part of this work was supported by FP7 project PHYLAWS (EU FP7-ICT 317562).
Server protection through dynamic patching

Hackers have been developing fast propagating worms exploiting vulnerabilities that had just been disclosed by security experts. Those attacks particularly expose servers: this class of applications is constantly connected to the Internet and must meet uptime constraints. Hence they often run unprotected until the next scheduled update. In this paper, we propose a just-in-time protection for servers based on runtime injection of pre-made patches. The runtime injection permits to deal with uptime constraints and induces only a minimal overhead over the vulnerable code and only when a vulnerability is known to exist. The pre-made patches forbid exploitation of most common vulnerabilities (45% of attacks reported by Debian security in 2005 affected C software) and allows continuous servicing.
A Novel Trust-based Cooperative Node Selection Scheme in Wireless Sensor Networks

For communication between the cluster head node (CHN) and the distant data fusion center (DFC) with the cooperation of intra-cluster nodes in wireless sensor networks (WSNs), reliable handling of packets by the cooperative node (CN) is difficult to ensure. In this paper, we propose a novel CN selection scheme based on trust for WSNs. This scheme can choose one of high trust nodes to assist in the transmission of CHN, which aims to improve the transmission performance over cooperative communication in the presence of potential malicious nodes. First, we establish a trust model to improve the reliability of transmission by CN in WSNs, which is based on both the direct trust and the indirect trust of nodes. Then the CHN selects a node based on the proposed trust model to aid the CHN in transmission. Simulation results show that the proposed scheme can mitigate the impact of the potential malicious nodes on transmission performance and the simulation results also demonstrate the efficiency of the proposed scheme.
Multi-scale object tracking based on mean shift and AUC

The mean-shift algorithm is an efficient technique for 2D object tracking. Although the scale of the mean-shift kernel is a crucial parameter, there is presently no clean mechanism for choosing or updating scale while tracking objects that are changing in size. In this paper, Lindeberg's theory of scale selection based on local maxima of differential scale-space filters is improved and then adapted to select suitable scale of the mean-shift kernel in the process of multi-scale object tracking. In addition, AUC is regarded as a standard to evaluate the efficiency of the algorithm put forward above.