Miracle-dz/UniFAR-FTUs huggingface dataset:
Packet classifiers in ternary CAMs can be smaller

Serving as the core component in many packet forwarding, differentiating and filtering schemes, packet classification continues to grow its importance in today's IP networks. Currently, most vendors use Ternary CAMs (TCAMs) for packet classification. TCAMs usually use brute-force parallel hardware to simultaneously check for all rules. One of the fundamental problems of TCAMs is that TCAMs suffer from range specifications because rules with range specifications need to be translated into multiple TCAM entries. Hence, the cost of packet classification will increase substantially as the number of TCAM entries grows. As a result, network operators hesitate to configure packet classifiers using range specifications. In this paper, we optimize packet classifier configurations by identifying semantically equivalent rule sets that lead to reduced number of TCAM entries when represented in hardware. In particular, we develop a number of effective techniques, which include: trimming rules, expanding rules, merging rules, and adding rules. Compared with previously proposed techniques which typically require modifications to the packet processor hardware, our scheme does not require any hardware modification, which is highly preferred by ISPs. Moreover, our scheme is complementary to previous techniques in that those techniques can be applied on the rule sets optimized by our scheme. We evaluate the effectiveness and potential of the proposed techniques using extensive experiments based on both real packet classifiers managed by a large tier-1 ISP and synthetic data generated randomly. We observe significant reduction on the number of TCAM entries that are needed to represent the optimized packet classifier configurations.
Multimodal Wireless Sensor Network-Based Ambient Assisted Living in Real Homes with Multiple Residents

Human activity recognition and behavior monitoring in a home setting using wireless sensor networks (WSNs) provide a great potential for ambient assisted living (AAL) applications, ranging from health and wellbeing monitoring to resource consumption monitoring. However, due to the limitations of the sensor devices, challenges in wireless communication and the challenges in processing large amounts of sensor data in order to recognize complex human activities, WSN-based AAL systems are not effectively integrated in the home environment. Additionally, given the variety of sensor types and activities, selecting the most suitable set of sensors in the deployment is an important task. In order to investigate and propose solutions to such challenges, we introduce a WSN-based multimodal AAL system compatible for homes with multiple residents. Particularly, we focus on the details of the system architecture, including the challenges of sensor selection, deployment, networking and data collection and provide guidelines for the design and deployment of an effective AAL system. We also present the details of the field study we conducted, using the systems deployed in two different real home environments with multiple residents. With these systems, we are able to collect ambient sensor data from multiple homes. This data can be used to assess the wellbeing of the residents and identify deviations from everyday routines, which may be indicators of health problems. Finally, in order to elaborate on the possible applications of the proposed AAL system and to exemplify directions for processing the collected data, we provide the results of several human activity inference experiments, along with examples on how such results could be interpreted. We believe that the experiences shared in this work will contribute towards accelerating the acceptance of WSN-based AAL systems in the home setting.
Surpassing Gradient Descent Provably: A Cyclic Incremental Method with Linear Convergence Rate

Recently, there has been growing interest in developing optimization methods for solving large-scale machine learning problems. Most of these problems boil down to the problem of minimizing an average of a finite set of smooth and strongly convex functions where the number of functions $n$ is large. Gradient descent method (GD) is successful in minimizing convex problems at a fast linear rate; however, it is not applicable to the considered large-scale optimization setting because of the high computational complexity. Incremental methods resolve this drawback of gradient methods by replacing the required gradient for the descent direction with an incremental gradient approximation. They operate by evaluating one gradient per iteration and executing the average of the $n$ available gradients as a gradient approximate. Although, incremental methods reduce the computational cost of GD, their convergence rates do not justify their advantage relative to GD in terms of the total number of gradient evaluations until convergence. In this paper, we introduce a Double Incremental Aggregated Gradient method (DIAG) that computes the gradient of only one function at each iteration, which is chosen based on a cyclic scheme, and uses the aggregated average gradient of all the functions to approximate the full gradient. The iterates of the proposed DIAG method uses averages of both iterates and gradients in oppose to classic incremental methods that utilize gradient averages but do not utilize iterate averages. We prove that not only the proposed DIAG method converges linearly to the optimal solution, but also its linear convergence factor justifies the advantage of incremental methods on GD. In particular, we prove that the worst case performance of DIAG is better than the worst case performance of GD.
Structural Elements of Antizymes 1 and 2 Are Required for Proteasomal Degradation of Ornithine Decarboxylase*

The antizymes constitute a conserved gene family with at least three mammalian orthologs. As described previously, in a degradation system utilizing rabbit reticulocyte lysate, antizyme 1 (AZ1) accelerates proteasomal ornithine decarboxylase (ODC) degradation, but antizyme 2 (AZ2) does not. To examine the relationship between antizyme structure and function, we further characterized the properties of AZ1 and AZ2 and protein chimeras composed of elements of the two. AZ1 binds to ODC with about a 3-fold higher potency than AZ2, but this cannot account for their distinct degradative activities. The dissimilar degradative capacity of AZ1 and AZ2 is also observed using purified proteasomes. A series of reciprocal AZ1/AZ2 chimeras was used to determine the sequence elements needed to direct ODC degradation. An element contained within amino acids 130–145 of AZ1 is essential for this function. Constructs in which amino acids 130–145 were exchanged between the antizymes confirmed the critical nature of this region. Within this region, amino acids 131 and 145 proved responsible for the functional difference between the two forms of AZ.
Tuning the threshold voltage of carbon nanotube transistors by n-type molecular doping for robust and flexible complementary circuits

Significance Highly noise-resistant logic gates are needed for large-scale circuits. This was challenging previously with carbon nanotube circuits due to the lack of control of the threshold voltages of nanotube transistors. We demonstrate the use of dopants to tune the charge carrier density of carbon nanotubes films and hence precisely control the threshold voltages of carbon nanotube transistors. This doping method is highly versatile and can be applied through inkjet printing. With this technique, we demonstrate highly noise-resistant and low power consumption carbon nanotube logic gates on a flexible substrate. This work places carbon nanotubes in a highly competitive position for large-scale solution-processed flexible circuits. Tuning the threshold voltage of a transistor is crucial for realizing robust digital circuits. For silicon transistors, the threshold voltage can be accurately controlled by doping. However, it remains challenging to tune the threshold voltage of single-wall nanotube (SWNT) thin-film transistors. Here, we report a facile method to controllably n-dope SWNTs using 1H-benzoimidazole derivatives processed via either solution coating or vacuum deposition. The threshold voltages of our polythiophene-sorted SWNT thin-film transistors can be tuned accurately and continuously over a wide range. Photoelectron spectroscopy measurements confirmed that the SWNT Fermi level shifted to the conduction band edge with increasing doping concentration. Using this doping approach, we proceeded to fabricate SWNT complementary inverters by inkjet printing of the dopants. We observed an unprecedented noise margin of 28 V at VDD = 80 V (70% of 1/2VDD) and a gain of 85. Additionally, robust SWNT complementary metal−oxide−semiconductor inverter (noise margin 72% of 1/2VDD) and logic gates with rail-to-rail output voltage swing and subnanowatt power consumption were fabricated onto a highly flexible substrate.
Naming as social practice: The case of Little Creeper from Diamond Street

ABSTRACT Proper names have often been discussed by philosophers of language without the benefit of anthropological insights. This article combines research from these two fields in order to move toward a theory of naming as social practice – emphasizing the nature of naming and nicknaming as it is crucially attached to cultural history, social context, and individual experience. To exemplify this notion, the article outlines naming and its various functions as described by and used in the narratives of one young man from the “Diamond Street” gang who goes by the nickname “Little Creeper. ” A discussion of outsiders' interpretations of gang names indicates how the meaning of a name can be transformed in different social contexts without losing its association with the initial referent. (Naming practices, proper names, ideology and language, at-risk youth)
Towards a common framework for assessing the activity and associations of groups who sexually abuse children

Abstract Extensive social psychological research emphasises the importance of groups in shaping individuals' thoughts and actions. Within the child sexual abuse (CSA) literature criminal organisation has been largely overlooked, with some key exceptions. This research was a novel collaboration between academia and the UK's Child Exploitation and Online Protection Centre (CEOP). Starting from the premise that the group is, in itself, a form of social situation affecting abuse, it offers the first systematic situational analysis of CSA groups. In-depth behavioural data from a small sample of convicted CSA group-offenders (n =3) were analysed qualitatively to identify factors and processes underpinning CSA groups' activities and associations: group formation, evolution, identity and resources. The results emphasise CSA groups' variability, fluidity and dynamism. The foundations of a general framework are proposed for researching and assessing CSA groups and designing effective interventions. It is hoped that this work will stimulate discussion and development in this long-neglected area of CSA, helping to build a coherent knowledge-base.
Recognition Memory for Self-Relevant Personality-Trait Words

Two studies based on a signal detection model of recognition memory are presented. Both studies investigated detection and response bias in the recognition of personality-trait words with respect to their relation to the self. Study 1 employed a yes-no task in which participants were to recognize trait adjectives. Study 2 employed a rating task in which participants declared their confidence with respect to whether a noun or an adjective had been presented. After the recognition task, participants selected personality-trait words that described them and ones that described other people. The results indicated a stronger tendency to say “old” for self-descriptive than for non-self-descriptive adjectives and nouns. Study 2 suggested that self-descriptive nouns are better detected than non-self-descriptive nouns.
Injury and differentiation following inhibition of mitochondrial respiratory chain complex IV in rat oligodendrocytes

Oligodendrocyte lineage cells are susceptible to a variety of insults including hypoxia, excitotoxicity, and reactive oxygen species. Demyelination is a well‐recognized feature of several CNS disorders including multiple sclerosis, white matter strokes, progressive multifocal leukoencephalopathy, and disorders due to mitochondrial DNA mutations. Although mitochondria have been implicated in the demise of oligodendrocyte lineage cells, the consequences of mitochondrial respiratory chain defects have not been examined. We determine the in vitro impact of established inhibitors of mitochondrial respiratory chain complex IV or cytochrome c oxidase on oligodendrocyte progenitor cells (OPCs) and mature oligodendrocytes as well as on differentiation capacity of OPCs from P0 rat. Injury to mature oligodendrocytes following complex IV inhibition was significantly greater than to OPCs, judged by cell detachment and mitochondrial membrane potential (MMP) changes, although viability of cells that remained attached was not compromised. Active mitochondria were abundant in processes of differentiated oligodendrocytes and MMP was significantly greater in differentiated oligodendrocytes than OPCs. MMP dissipated following complex IV inhibition in oligodendrocytes. Furthermore, complex IV inhibition impaired process formation within oligodendrocyte lineage cells. Injury to and impaired process formation of oligodendrocytes following complex IV inhibition has potentially important implications for the pathogenesis and repair of CNS myelin disorders. © 2010 Wiley‐Liss, Inc.
Exemplar based texture recovery technique for active one shot scan

Range scanners based on camera-projector configurations have been attracting the attention of many researchers and computer vision practitioners due to its ability of performing 3D scanning with high accuracy and frame rates. This class of scanners is more effective under dark capturing environments by projecting bright colored patterns on objects. As a consequence, the projected pattern is prone to interfere with the reflectance and texture characteristics of the surfaces of the objects. This paper introduces a novel technique for recovering texture information from objects obfuscated by projected patterns. To that end, prior to 3D scanning our method acquires a small amount of pairs of images of the object with and without the projected pattern. These pairs of images are then used to build a dictionary that establishes a relationship between the actual textures and the projected patterns. Following that, 3D scanning is performed normally using a camera-projector setup, and the video frames captured by the camera are matched against the dictionary to filter candidates that resemble the original textures. Regularization is applied on the potential set of candidates to cull out poorly detected one, resulting in smooth texture-aware images.
A population pharmacokinetic model of remifentanil in pediatric patients using body-weight-dependent allometric exponents

Abstract Background: Allometric exponents in population pharmacokinetic analysis are regularly used but the issue of fixing or estimating an allometric exponent remains controversial. The objective of the current analysis is to evaluate the performance of a body-weight-dependent allometric exponent (BDE) model of remifentanil. Methods: The study was conducted in 34 patients (neonates to 17 years and 2.5 to 97 kg body weight) following a single intravenous (IV) infusion of remifentanil (5 μg/kg). A population pharmacokinetic approach was taken to describe drug clearance by the following BDE equation: CL=CLpop(BW/14.6 kg)L×BW(-M). Three allometric models were used to explore the impact of allometric exponents on the total clearance of remifentanil. Results: All model-fitted structural, covariate, and statistical parameters were estimated with good to excellent precision (%RSE). However, on the basis of calculated Akaike weights (0.000 for model 1, 0.004 for model 2, and 0.996 for model 3), model 3 is the most robust model to describe individual clearance estimates. Conclusions: The BDE model performed best for the estimation of remifentanil clearance and is realistic and of practical value. Further investigation should be conducted for such models.
Structure and phase behaviour of diblock copolymer monolayers investigated by means of Monte Carlo simulation

We use grand canonical Monte Carlo simulation paired with multiple histogram reweighting, hyperparallel tempering and finite size scaling to investigate the structure and phase behaviour of monolayers of diblock copolymers. The chain molecules are arranged on the square lattice and we consider both fully flexible and rod-coil polymer models. In contrast to the majority of previous studies we assume that the interactions between the segments belonging to one of the two subunits are weaker than the remaining segment–segment interactions. We find that when the diblock copolymer is fully flexible, this choice of the interactions leads to a suppression of the ordered phase, and the phase behaviour is analogous to that of the fully flexible homopolymer model. However, when one of the subunits is rigid, we observe the formation of a novel hairpin chessboard ordered structure with fully stretched chains bent in the middle. The topology of the phase diagram depends on the chain length. For shorter chains the global phase diagram features a critical point and a triple point. For longer chains the gas—disordered liquid phase transition is suppressed and only the order–disorder transition remains stable. The resulting phase diagram is of the swan neck type.
Value Congruence in Leader-Member Exchange

In this study, hypotheses were tested that the quality of leader-member exchanges (LMX) depends on congruity of values between leader and member. Data on negotiating latitude and personal values were gathered from 160 members of 30 work groups in Australian organizations. Factor analysis revealed 5 value dimensions: Freedom, Achievement, Mateship, Obedience, and Coping. Analyses of variance supported the hypothesis that LMX quality is higher when leaders and members share achievement and obedience values. Subsequent exploratory analysis, however, indicated that a more complex model based on compatibility of leader authority and member affiliation values may provide a more complete representation.
The not-for-profit sector and school improvement: the students’ perceptions of the change

Kings College replaced a previous school on the same site and was the first privately managed state school in the UK, operating through a ten-year partnership between a not-for-profit company, 3Es Enterprises and Surrey County Council. This article examines the experience of this privatisation through the perspectives of students who had attended both the new college and the school from which it emerged. It examines the background to the new college and some of the key concepts in the literature regarding privatisation, school culture and student perceptions. It then reports on questionnaires and interviews carried out with Year 10 and 11 students. It concludes that there are significant factors, which, from the students’ perspectives, appear to have brought about improvement, particularly a change of culture and learning-focused leadership. Further investigation is needed in this school and in others that have been involved in various transformational programmes, in order to identify causal links between processes and outcomes.
Henri Tajfel's ‘Cognitive aspects of prejudice’ and the psychology of bigotry

In this article, Billig presents an incisive review of one of our discipline's classic contributions to the study of prejudice, Tajfel (1969). Whilst acknowledging the importance of Tajfel's article, Billig does us a considerable service by identifying some crucial shortcomings both in Tajfel's original argument and in some of the later work that he and others developed from it. As Billig rightly says, it does not belittle the value of historically important theories to subject them periodically to critical reflection and analysis; indeed, the history of science tells us that many of today's most important insights emerge from the failings of yesterday's models.
Combination‐therapy with concurrent deferoxamine and deferiprone is effective in treating resistant cardiac iron‐loading in aceruloplasminaemia

peroxycyclophosphamide is inhibited by fludarabine and clofarabine. Clinical Cancer Research, 7, 3580–3589. Zhang, F. , Zhang, L. , Jing, L. , Zhou, K. , Wang, H. , Peng, G. , Li, Y. , Li, Y. , Li, J., Ye, L. , Shi, L. , Fan, H. , Zhao, X. , Chu, Y. , Hao, Y. & Wang, J. (2013) High-dose cyclophosphamide compared with antithymocyte globulin for treatment of acquired severe aplastic anemia. Experimental Hematology, 41, 328–334.
Awareness of the light field: the case of deformation

Human observers group local shading patterns into global super-patterns that appear to be illuminated in some unitary fashion. Many years ago, this was noticed for the case of uniform, unidirectional illumination. Recently, we found that it also applies to convergent and divergent illumination flows, but that human observers are blind to rotational light flow patterns (in the sense of being unable to group the local shading patterns). We now report that human observers are also blind to deformation patterns. This is perhaps interesting because convergent, divergent, rotational, and deformation patterns all occur in natural light fields. This is an idiosyncrasy of the human visual system, on par with the fact that visual awareness fails to present the observer with saddle shapes.