Miracle-dz/UniFAR-FTUs huggingface dataset:
FoxyTechnique: tricking operating system policies with a virtual machine monitor

Integrating new resource management policies into operating systems (OSes) is an ongoing process. Despite innovative policy proposals being developed, it is quite difficult to deploy a new one widely because it is difficult, costly and often impractical endeavor to modify existing OSes to integrate a new policy. To address this problem, we explore the possibility of using virtual machine technology to incorporate a new policy into an existing OS without the need to make any changes to it. This paper describes FoxyTechnique, which virtualizes physical devices differently from real ones and tricks a guest OS into producing a behavior similar to a desired policy. FoxyTechnique offers several advantages. First, it allows us to implement a new policy without the need to make any changes to OS kernels. Second, Foxy-based policies are expected to be portable across different operating systems because they are isolated from guest OSes by stable virtual hardware interfaces. Finally, Foxy-based policies sometimes outperform guest OS policies because they can measure performance indicators more accurately than guest OSes. To demonstrate the usefulness of FoxyTechnique, we conducted two case studies, FoxyVegas and FoxyIdle, on the Xen virtual machine monitor. FoxyVegas and FoxyIdle tricked the original Linux and successfully mimicked TCP Vegas and Idletime scheduling, respectively.
Values as Social Indicators of Poverty and Race Relations in America

The purpose of this paper is to explore the usefulness of values as social indicators of underlying social problems. Using value choices of a national sample, an attempt was made to determine the extent and nature of cultural differences between groups differing in socioeconomic status and race. Since the publication of The Negro Family (the "Moynihan Report"), there has been lively debate and invective about the issue of whether or not cultural differences exist between the poor and the rich and between Negro and white. The issue of whether those living in poverty, particularly the Negro poor, are characterized by a distinctive "culture of poverty" has policy ramifications for programs of poverty-amelioration and community development. The findings reported here lend support to the idea that considerable value differences do distinguish the rich from the poor, but not Negroes from whites. For the most part, differences found between the latter disappear when socioeconomic position is controlled.
Nao in the Cloud Knowledge sharing for robots via cloud services

This paper deals with the subject area knowledge sharing for robots. It demonstrates how robots can improve their learning mechanism via Cloud Computing and it shows how heterogeneous robots can exchange information about plans, objects and environments among each other. This work introduces our current research which realizes the approach with the aid of the humanoid robot Nao and the cloud service RoboEarth. The practical part implements an interface between the Nao and the cloud service and demonstrates a use case in which several Nao robots download and execute abstract plans from RoboEarth. So Robots are no longer on their own they can benefit from the experience of other robots. Keywords—Knowledge sharing; Cloud Robotics; RoboEarth; Robot Operating System; Nao; Cloud Computing
Novel glutamatergic drugs for the treatment of mood disorders

Mood disorders are common and debilitating, resulting in a significant public health burden. Current treatments are only partly effective and patients who have failed to respond to trials of existing antidepressant agents (eg, those who suffer from treatment-resistant depression [TRD]) require innovative therapeutics with novel mechanisms of action. Although neuroscience research has elucidated important aspects of the basic mechanisms of antidepressant action, most antidepressant drugs target monoaminergic mechanisms identified decades ago. Glutamate, the major excitatory neurotransmitter in the central nervous system, and glutamatergic dysfunction has been implicated in mood disorders. These data provide a rationale for the pursuit of glutamatergic agents as novel therapeutic agents. Here, we review preclinical and clinical investigations of glutamatergic agents in mood disorders with a focus on depression. We begin with discussion of evidence for the rapid antidepressant effects of ketamine, followed by studies of the antidepressant efficacy of the currently marketed drugs riluzole and lamotrigine. Promising novel agents currently in development, including N-methyl-D-aspartate (NMDA) receptor modulators, 2-amino-3-(3-hydroxy-5-methyl-isoxazol-4-yl) propanoic acid (AMPA) receptor modulators, and drugs with activity at the metabotropic glutamate (mGlu) receptors are then reviewed. Taken together, both preclinical and clinical evidence exists to support the pursuit of small molecule modulators of the glutamate system as novel therapeutic agents in mood disorders. It is hoped that by targeting neural systems outside of the monoamine system, more effective and perhaps faster acting therapeutics can be developed for patients suffering from these disabling disorders.
Theme detection an exploration of opinion subjectivity

Work in opinion mining and classification often assumes the incoming documents to be opinionated. Opinion mining system makes false hits while attempting to compute polarity values for non-subjective or factual sentences or documents. It becomes imperative to decide whether a given document contains subjective information or not as well as to identify which portions of the document are subjective or factual. In this work a Theme Detection technique has been evolved for more generic domain independent subjectivity detection that classifies sentences with binary feature: opinionated or non-opinionated. Theme Detection technique examines sentence level opinion and finally accumulates the opinion clues to reach the discourse level subjectivity. The subjectivity detection system has been evaluated on the Multi Perspective Question Answering (MPQA) corpus as well as on Bengali corpus. The system evaluation has shown the precision and recall values of 76.08 and 83.33 for English and 72.16 and 76.00 for Bengali respectively.
An Interview-Based Assessment of the Influence of Ethnocentrism in Business

Although it is natural for the individual to judge other cultures primarily relative to his own culture and social community, frequently this tendency translates into the disparage of other people? s values, perspectives, behaviors and lacking acceptance of cultural diversity, while promoting intolerance for out-groups. Cultural narrowness discourages intercultural and inter-group understanding. Taken to its limits, ethnocentrism can take many negative forms, resulting in discrimination, hostility, prejudice and even aggressiveness, and has many commonalties with stereotyping, racism and xenophobia which later can lead to deep ethnic conflicts, political conflicts, war, terrorism, even genocide. The paper deals with the investigation of ethnocentrism in business and how this attitude impact different areas of the organization? s life. It? s also shows the importance of cultural differences and similarities awareness and the role of management in taking advantage of a multicultural environment. For instance, the manager-subordinate communication may be affected by ethnocentrism. If an ethnocentric manager has out-group members as subordinates, he may view them as less credible than other in-group subordinates. Also, the same thing is likely to happen when the ethnocentric subordinate has as manager a member of the out-group.
Behind the newspaper paywall – lessons in charging for online content: a comparative analysis of why Australian newspapers are stuck in the purgatorial space between digital and print

This article examines one response to the financial ‘crisis’ of print newspapers addressing the rise of digital paywall systems to monetise journalism. It analyses selected daily mastheads’ paywalls in the United States, Britain and Australia, comparing the type, pricing and audience uptake. This article reviews scholarly and industry literature to identify international newspaper paywall trends and considers these in the Australian context. The article finds paywalls are becoming the norm, with metered paywalls favoured over hard paywalls; paywall prices are increasing, after initial reductions, to offset digital subscriptions cannibalising print subscription revenues. As audiences and advertising migrate from print to our screens, a broader view is required. The argument here is that, in the short term, revenues generated from Australian digital subscriptions and digital advertising alone cannot sustain newsrooms, but the cost of print together with falling hardcopy circulations suggest digital paywalls must not be overlooked. In the immediate, Australia’s major newspapers are stuck in a purgatorial space between paywalls and print.
Hot Outflowing Gas from the X-Ray Binary Hercules X-1

We present a unified picture of outflowing gas from the X-ray binary system Hercules X-1/HZ Herculis. We suggest that the outflowing gas (a wind) causes UV emission seen in mid-eclipse, narrow UV absorption lines, and broad UV P Cygni lines. Observations with the FOS and STIS spectrographs on the Hubble Space Telescope (HST) show UV emission lines in the middle of X-ray eclipse, when the X-ray-heated atmosphere of the normal star and accretion disk should be entirely hidden from view. Narrow absorption lines (FWHM ≈ 50 km s-1) blueshifted by 500 km s-1 during observations in 1998 and by 400 km s-1 during observations in 1999 were seen from ϕ = 0 to 0.3. The line velocity was constant to within 20 km s-1. The P Cygni profiles from Hercules X-1 have optical depths τ ≲ 1 with a maximum expansion velocity of ≈600 km s-1, and are seen in the resonance lines N V λλ1238. 8, 1242.8, Si IV λλ 1393.7, 1402.8, and C IV λλ1548. 2, 1550.8. We discuss whether this wind originates in the accretion disk or on the companion star, and how the relevant ions can survive X-ray ionization by the neutron star.
Analysis of Frequent Item set Mining of Electronic Evidence using FP-Growth based on Map/Reduce

Association rules can mine the relevant evidence of computer crime from the massive data and association rules among data itemset, and further mine crime trends and connections among different crimes. They can help detect and leads case policies and prevent crime with given criterions. Frequent item set mining (FIM) plays a fundamental Associations, correlations and electronic evidence analysis area like many real-world data mining areas. FP-growth pattern of constant search for the most famous FIM algorithm. Incrementing data, time and space costs FP-growth will be mining algorithms bottleneck. Information and communication technologies in the world, with rapid advancements in the crimes committed are becoming technologically intensive. Use digital devices when crime, forensic examiners and practical frameworks which can pose as evidence to recover the data for analyzing the methods to adopt. Data Generation, Data Warehousing and Data Mining, are the three essential features involved in the investigation process. So that we proposed a a novel parallelized algorithm called PISPO based on the cloud-computing framework MapReduce, which is widely used to cope with largescale data and captures both the content and state to be distributed to the changed and original of the transactions dataset to SPOtree. Keywords— computer crime; PISPO; ISPO-tree; MapReduce; frequent itemset; data mining; association rules.
Advanced Consideration of a Caller Pre-Validation Against Direct Spam Over Internet Telephony

Spam over Internet Telephony as the distribution of unwanted voice messages over Voice over Internet Protocol networks is an upcoming threat. It is harder to prevent than e-mail spam since its content is not available before the victim is annoyed. This is even more difficult if the spam is sent directly to the victim’s user equipment, bypassing the proxies of the service provider. Hence, this messages cannot be filtered, since the proxies are no longer participating in the transaction. This article presents a pre-validation mechanism, which ensures a minimum level of trust about the caller. It assumes that a legal registered user does not send any spam, since his service provider will penalize him if he does so. Therefore, the pre-validation mechanism sends some requests to the presence server of the provider and the user equipment of the caller to validate their existence. This enables the knowledge to allow a call attempt of an unknown user.
Performance of RLMS algorithm in adaptive array beam forming

This paper examines the performance of an adaptive linear array employing the new RLMS algorithm, which consists of a recursive least square (RLS) section followed by a least mean square (LMS) section. The performance measures used are output and input signal-to-interference plus noise ratios (SINR), side lobe level (SLL), and ¿SINR0 as a function of the direction of arrival of the interfering signal. Computer simulation results show that the performance of RLMS is superior to either the RLS or LMS based on these measures, particularly when operating with low input SINR.
Proteomic study of the peripheral proteins from thylakoid membranes of the cyanobacterium Synechocystis sp. PCC 6803

Thylakoid membranes of cyanobacteria and plants contain enzymes that function in diverse metabolic reactions. Many of these enzymes and regulatory proteins are associated with the membranes as peripheral proteins. To identify these proteins, we separated and identified the peripheral proteins of thylakoid membranes of the cyanobacterium Synechocystis sp. PCC 6803. Trichloroacetic acid (TCA)‐acetone extraction was used to enrich samples with peripheral proteins and to remove integral membrane proteins. The proteins were separated by two‐dimensional electrophoresis (2‐DE) and identified by peptide mass fingerprinting. More than 200 proteins were detected on the sodium dodecyl sulfate‐polyacrylamide gel electrophoresis (SDS‐PAGE) gel that was stained with colloidal Coomassie blue. We analyzed 116 spots by peptide mass fingerprinting and identified 78 spots that were derived from 51 genes. Some proteins were found in multiple spots, indicating differential modifications resulting in charge differences. Therefore, a significant fraction of the peripheral proteins in thylakoid membranes is modified post‐translationally. In our analysis, products of 17 hypothetical genes could be identified in the peripheral protein fraction. Therefore, proteomic analysis is a powerful tool to identify location of the products of hypothetical genes and to characterize complexity in gene expression due to post‐translational modifications.
The Effectiveness of the Elementary School Mini-Society Program

Econ. Ed., Fall 1975. Johnstone, Bruce D. , and Darrell R. Lewis. "Curriculum, Welfare, and the Introductory Collegiate Course in Economics. " In Goals and Objectives. , edited by Larsen and Nappi (see Bach 1976, above). Krupp, Sherman Roy. "Equilibrium Theory in Economics and in Functional Analysis as Types of Explanation. " In Functionalism in the Social Sciences: The Strength and Limits of Functionalism in Anthropology, Economics, Political Science, and Sociology, edited by Don Martindale. Monograph 5. Philadelphia: American Academy of Political and Social Science, 1965. Master Curriculum Guide in Economics for the Nation's Schools, Part I, A Framework for Teaching Economics: Basic Concepts. New York: Joint Council on Economic Education, 1977. Phillips, James A. "Instructional Objectives in Community College Economic Education. " J. Econ. Ed., Spring 1974. Van Metre, Dale. "A Learning Theory for Economics Instructional Development. " J. Econ. Ed., Spring 1976.
Hypoxia/Reoxygenation Impairs Memory Formation via Adenosine-Dependent Activation of Caspase 1

After hypoxia, a critical adverse outcome is the inability to create new memories. How anterograde amnesia develops or resolves remains elusive, but a link to brain-based IL-1 is suggested due to the vital role of IL-1 in both learning and brain injury. We examined memory formation in mice exposed to acute hypoxia. After reoxygenation, memory recall recovered faster than memory formation, impacting novel object recognition and cued fear conditioning but not spatially cued Y-maze performance. The ability of mice to form new memories after hypoxia/reoxygenation was accelerated in IL-1 receptor 1 knockout (IL-1R1 KO) mice, in mice receiving IL-1 receptor antagonist (IL-1RA), and in mice given the caspase 1 inhibitor Ac-YVAD-CMK. Mechanistically, hypoxia/reoxygenation more than doubled caspase 1 activity in the brain, which was localized to the amygdala compared to the hippocampus. This reoxygenation-dependent activation of caspase 1 was prevented by broad-spectrum adenosine receptor (AR) antagonism with caffeine and by targeted A1/A2A AR antagonism with 8-cyclopentyl-1,3-dipropylxanthine plus 3,7-dimethyl-1-propargylxanthine. Additionally, perfusion of adenosine activated caspase 1 in the brain, while caffeine blocked this action by adenosine. Finally, resolution of anterograde amnesia was improved by both caffeine and by targeted A1/A2A AR antagonism. These findings indicate that amygdala-based anterograde amnesia after hypoxia/reoxygenation is sustained by IL-1β generated through adenosine-dependent activation of caspase 1 after reoxygenation.
A Quantitative and Qualitative Review of Graphic Organizer Research

Figure 1 displays a sample GO of some measurement terms commonly taught in elementary schools. GOs dif fer from traditional outlines because terms are not se quenced according to their order of presentation, and portrayals are not governed by rigid conventions. Addi tionally, GOs differ from flow-charting (Geva, 1981) and mapping (Anderson, & Armbruster, 1980) because relationships between concepts are not explicitly labeled. Introduced in 1969, graphic organizers are now commonly recommended in reading methods textbooks (see, for example, Aulls, 1982; Cunningham, Cunn ingham, & Arthur, 1981) as a way to improve students' learning. GOs were originated as a variation of Ausubel's ad vance organizers (Barron, 1980). The early GOs were meant to be teacher-directed readiness activities that would clarify, stabilize, and organize learners' prior content knowledge so that new information could be assimilated efficiently. However, a series of studies pro duced equivocal findings. As a result of those findings, new procedures for creating and displaying GOs were introduced, and additional studies focused on GO ef fects varying among treatment conditions and outcome measures.
Teaching students observational methods: visual studies and visual analysis

My experiences in teaching classes in ‘observation’ for sociology students is used to explore aspects of doing visual studies and visual analysis, using the direct or camera-aided observation of pedestrian traffic as a case in point. The students had to do some observational assignments ‘out in the streets’ and report on their experiences and findings, trying to make sociological sense of both. I fed them some ideas from Goffman in order to help them ‘see’ things in a sociological way. I also tried to unsettle their common sense sociology and methodology by confronting them with some ethnomethodological notions derived from Eric Livingston. In so doing I wanted to focus their attention on the visual methods actually used to organize pedestrian traffic ‘on the ground’, rather than restricting themselves to a structural overview ‘from above’, or ‘from aside’.
Automatic Expandable Large-Scale Sentiment Lexicon of Modern Standard Arabic and Colloquial

In subjectivity and sentiment analysis (SSA), there are two main requirements are necessary to improve sentiment analysis effectively in any language and genres, first, high coverage sentiment lexicon - where entries are tagged with semantic orientation (positive, negative and neutral) - second, tagged corpora to train the sentiment classifier. Much of research has been conducted in this area during the last decade, but the need of building these resources is still ongoing, especially for morphologically-Rich language (MRL) such as Arabic. In this paper, we present an automatic expandable wide coverage polarity lexicon of Arabic sentiment words, this lexical resource explicitly devised for supporting Arabic sentiment classification and opinion mining applications. The lexicon is built using a seed of gold-standard Arabic sentiment words which are manually collected and annotated with semantic orientation (positive or negative), and automatically expanded with sentiment orientation detection of the new sentiment words by exploiting some lexical information such as part-of-speech (POS) tags and using synset aggregation techniques from free online Arabic lexicons, thesauruses. We report efforts to expand a manually-built our polarity lexicon using different types of data. Finally, we used various tagged data to evaluate the coverage and quality of our polarity lexicon, moreover, to evaluate the lexicon expansion and its effects on the sentiment analysis accuracy. Our data focus on modern standard Arabic (MSA) and Egyptian dialectal Arabic tweets and Arabic microblogs (hotel reservation, product reviews, and TV program comments).
Synaptic Signaling and Aberrant RNA Splicing in Autism Spectrum Disorders

Interactions between presynaptic and postsynaptic cellular adhesion molecules (CAMs) drive synapse maturation during development. These trans-synaptic interactions are regulated by alternative splicing of CAM RNAs, which ultimately determines neurotransmitter phenotype. The diverse assortment of RNAs produced by alternative splicing generates countless protein isoforms necessary for guiding specialized cell-to-cell connectivity. Failure to generate the appropriate synaptic adhesion proteins is associated with disrupted glutamatergic and gamma-aminobutyric acid signaling, resulting in loss of activity-dependent neuronal plasticity, and risk for developmental disorders, including autism. While the majority of genetic mutations currently linked to autism are rare variants that change the protein-coding sequence of synaptic candidate genes, regulatory polymorphisms affecting constitutive and alternative splicing have emerged as risk factors in numerous other diseases, accounting for an estimated 40–60% of general disease risk. Here, we review the relationship between aberrant RNA splicing of synapse-related genes and autism spectrum disorders.
Relationships Between Candidate Self-Monitoring, Perceived Personality, and Selection Interview Outcomes

A study into the relationships between candidateself-monitoring ability, interviewer perceptions ofcandidate personality, and interviewer outcome decisionsin the context of actual graduate recruitment interviews (n = 130) is presented. Detailedpsychometric norm data is also reported on the Lennoxand Wolfe (1984) revised Self-Monitoring (RS-M) scale,together with the results of confirmatory factoranalyses into the factor structure of this measure. Itwas found that candidate self-monitoring ability wasonly moderately and nonsignificantly related tointerviewer outcome evaluations, and thatself-monitoring was generally uncorrelated with thepositiveness of recruiter impressions of candidatepersonality. Confirmatory factor analyses revealed thata two correlated factor structure for the RS-M scale, inaccordance with the original authors' formulation,provided the most parsimonious fit. Norm data for theRS-M scale is reported for this sample of Britishgraduates, including item statistics, item to subscale,item to scale correlations, and internal reliabilitycoefficients. Implications for future research intocandidate impression management, self-monitoring,interviewer decision making, and the practicalimplications arising from these findings arediscussed.