LLukas22/scidocs huggingface dataset:
Managing TCP Connections Under Persistent HTTP

Hyper Text Transfer Protocol (HTTP) traffic dominates Internet traffic. The exchange of HTTP messages is implemented using the connection-oriented TCP. HTTP=1.0 establishes a new TCP connection for each HTTP request, resulting in many consecutive short-lived TCP connections. The emerging HTTP=1.1 reduces latencies and overhead from closing and re-establishing connections by supporting persistent connections as a default. A TCP connection which is kept open and reused for the next HTTP request reduces overhead and latency. Open connections, however, consume sockets and memory for socket-buffers. This trade-off establishes a need for connection-management policies. We propose policies that exploit embedded information in the HTTP request messages, e.g., senders’ identities and requested URLs, and compare them to the fixed-timeout policy used in the current implementation of the Apache Web server. An experimental evaluation of connection management policies at Web servers, conducted using Web server logs, shows that our URL-based policy consistently outperforms other policies, and achieves significant 15–25% reduction in cost with respect to the fixed-timeout policy. Hence, allowing Web servers and clients to more fully reap the benefits of persistent HTTP.  1999 Published by Elsevier Science B.V. All rights reserved.
Hepatocurative activity of biosynthesized silver nanoparticles fabricated using Andrographis paniculata.

The current investigation was aimed to determine the hepatocurative role of silver nanoparticles (AgNPs) synthesized rapidly using Andrographis paniculata. The nanoparticles fabricated at varying temperatures were characterized by UV-visible spectroscopy (UV-vis), transmission electron microscopy (TEM), fourier transform infra-red spectroscopy (FTIR), energy dispersive X-ray (EDX) and inductively coupled plasma optical emission spectroscopy (ICP-OES) alongside zeta potential measurement. UV-vis spectroscopic readings indicated a prominent peak at 423 nm. TEM analysis indicated that the biosynthesized nanospheres were in the size range of 13-27 nm. EDX spectrum indicated strong signal for AgNPs with 90.1% purity. The total concentration of AgNps was 216.7 mg/L after synthesis as by ICP-OES. Zeta potential was -34.3 mV indicating stable AgNPs. In vitro radical scavenging assay proved strong antioxidant effect of the AgNPs compared to 5% aqueous leaf extract. CCl(4) was used to induce hepatic injury in mice model. The biosynthesized AgNPs at three different doses (25, 50, 100mg/kg BW of the animal) were used for treatment. Silymarin was used as a standard. Low dose (25mg/kg BW) was effective in revival of all biological parameters to near normal in all intoxicated groups indicating the curing effects on CCl(4) induced liver injury.
Treatment of childhood Hodgkin's disease without radiotherapy.

BACKGROUND
To minimize the side effects of treatment in children with Hodgkin disease (HD), chemotherapy was given without radiotherapy.


PATIENTS AND METHODS
From 1975 to 1984, 21 patients with HD having lymph nodes < 4 cm were treated with six MOPP courses. From 1984 to 1987, all children presenting with HD (n = 17) were given six ABVD courses. From 1987 to 1993 all children (n = 21) were treated with six alternating ABVD and MOPP courses.


RESULTS
MOPP-treated children showed an event-free survival (EFS) of 91%, overall survival, 100%; ABVD-treated children had an EFS of 70%, overall survival, 94%; ABVD-MOPP-treated children had an EFS of 91% and an overall survival of 91%. Two cases developed a second malignancy. Toxicity was low.


CONCLUSIONS
In children, ABVD-MOPP treatment gives a good survival, and toxicity is low. Radiotherapy is not needed to treat HD in children.
Recent advances in multilevel converter/inverter topologies and applications

Multilevel converters and inverters have become the enabling power conversion technology for high voltage high power applications in today's power systems and large motor drives. Although the neutral-point clamped (NPC, a 3-level) inverter was invented in 1979, the multilevel concept was not formally established until the early 1990s when the diode-clamped multilevel inverter, the capacitor-clamped (or flying capacitor) multilevel inverter, and the cascade multilevel inverter were proposed and fully studied. In this paper, we will first focus on the research advances in developing the cascade multilevel inverter topologies and their system configurations for power system applications from reviewing the traditional power conversion technology and the needs to eliminate zigzag transformers required in the traditional technology, to how to configure the cascade multilevel inverters to deal with unbalance and real-power (or active-power) flow. These research breakthroughs have made the cascade multilevel inverters a perfect topology for power system applications such as FACTS devices. For example, the cascade multilevel inverter based 75 Mvar and 50 Mvar STATCOMs have been reported. Since the mid of 1990s, many contributors have made great effort in developing more multilevel inverter topologies because all the three multilevel topologies have certain limitations and are not operable in some applications. Then, we will review the generalized multilevel inverter topology, its topological advances to other multilevel inverters/ converters, and their potential applications. This paper also provides insights to how multilevel inverter topologies are related to each other and their pros and cons in practical applications.
Understanding Emotions: A Dataset of Tweets to Study Interactions between Affect Categories

Human emotions are complex and nuanced. Yet, an overwhelming majority of the work in automatically detecting emotions from text has focused only on classifying text into positive, negative, and neutral classes, and a much smaller amount on classifying text into basic emotion categories such as joy, sadness, and fear. Our goal is to create a single textual dataset that is annotated for many emotion (or affect) dimensions (from both the basic emotion model and the VAD model). For each emotion dimension, we annotate the data for not just coarse classes (such as anger or no anger) but also for fine-grained real-valued scores indicating the intensity of emotion (anger, sadness, valence, etc.). We use Best–Worst Scaling (BWS) to address the limitations of traditional rating scale methods such as interand intra-annotator inconsistency by employing comparative annotations. We show that the fine-grained intensity scores thus obtained are reliable (repeat annotations lead to similar scores). We choose Twitter as the source of the textual data we annotate because tweets are self-contained, widely used, public posts, and tend to be rich in emotions. The new dataset is useful for training and testing supervised machine learning algorithms for multi-label emotion classification, emotion intensity regression, detecting valence, detecting ordinal class of intensity of emotion (slightly sad, very angry, etc.), and detecting ordinal class of valence (or sentiment). We make the data available for the recent SemEval-2018 Task 1: Affect in Tweets, which explores these five tasks. The dataset also sheds light on crucial research questions such as: which emotions often present together in tweets?; how do the intensities of the three negative emotions relate to each other?; and how do the intensities of the basic emotions relate to valence?
Behavioral management leads to reduction in aggression in a child and adolescent psychiatric inpatient unit.

OBJECTIVE
Aggression is common in children and adolescents admitted to psychiatric inpatient units. Few interventions for reducing aggressive behaviors have been identified. This study aimed to evaluate the impact of a milieu-based behavioral management program on the frequency of aggressive behaviors in a child and adolescent mental health inpatient unit.


METHOD
The behavioral management program incorporated individualized patient management plans, early detection and prevention, staff training, reinforcement of appropriate behaviors, and intervention using the least restrictive option. Outcomes were assessed for 6 months before and after program introduction, and included episodes of aggressive behavior, injuries, use of physical restraint, seclusion, p.r.n. sedation, use of security services, and staffing factors.


RESULTS
Implementation of behavioral management led to a significant reduction in the episodes of aggressive behavior (p < .05) and other unwanted outcomes including injuries (p < .05), use of physical restraint (p < .001), and duration of seclusion (p < .001). These outcomes were achieved without reducing the number of admissions, changing the types of patients admitted, increasing staff costs, or increasing the use of p.r.n. medications.


CONCLUSIONS
Aggressive behaviors in child and adolescent psychiatric inpatient units can be reduced by implementing a broad-based behavioral management program. These findings highlight the importance of organizational approaches to behavior and risk management.
Automated generation of test oracles using a model-driven approach

Context: Software development time has been reduced with new development tools and paradigms, testing must accompany these changes. In order to release software products in a timely manner as well as to minimise the impact of possible errors introduced during maintenance interventions, testing automation has become a central goal. Whilst research has produced significant results in test case generation and tools for test case (re)-execution, one of the most important open problems in testing is the automation of oracle generation. The oracle decides whether the program under test has or has not behaved correctly and then issues a pass/fail verdict. In most cases, writing the oracle is a time-consuming activity that, moreover, is manual in most cases. Objective: This article automates two important steps in the test oracle: obtention of expected output and its comparison with the actual output, using a model-driven approach. Method: The oracle automation problem is resolved using a model-driven framework, based on OMG standards: UML is used as metamodel and QVT and MOF2Text as transformation languages. The automated testing framework takes the models that describe the system as input, using UML notation and derives from them the test model and then the test code, following a model-driven approach. Test oracle procedures are obtained from a UML state machine. Results: A complete executable test case at functional test level is obtained, composed of a test procedure with parametrized input test data and expected result automation. Conclusion: The oracle automation is obtained using a model-driven approach, test cases are obtained automatically from UML models. The model-driven testing framework was applied to an industrial application and has been useful to testing automation for the main functionalities in the system. 2012 Elsevier B.V. All rights reserved.
Differential Effects of Dexamethasone and Doxycycline on Inflammation and MMP Production in Murine Alkali-Burned Corneas Associated with Dry Eye.

Alkali burns to the cornea are among the most devastating injuries to the eye. The purpose of this study was to evaluate the effects of dexamethasone (Dex) or doxycycline (Doxy) on protease activity and corneal complications in a combined model (CM) of alkali burn and dry eye. C57BL/6 mice were subjected to the CM for 2 or 5 days (D). Mice were topically treated either with Dex (0.1%), Dox (0.025%) or vehicle QID and observed daily for appearance of corneal perforation. Quantitative real time PCR was performed to measure expression of inflammation cytokines and matrix metalloproteinases (MMPs) in whole cornea lysates. No perforations were observed in the Dex-treated corneas. All wounds in Doxy-treated corneas were closed 2D post-injury, and they had significantly lower corneal opacity scores at days 4 and 5 post-injury compared to BSS treatment. Dex-treated corneas had the lowest corneal opacity scores. Dex treatment significantly decreased expression of IL-1β, IL-6, MMPs -1, -9, -13, and TIMP-1 after 2 days but increased levels of MMP-8, while Doxy treatment significantly decreased IL-1β, IL-6, MMP-8, and -9, compared to vehicle. Decreased MMP-1, -9 and -13 immunoreactivity and gelatinolytic activity were seen in corneas treated with Doxy and Dex compared to vehicle. Increased neutrophil infiltration and myeloperoxidase activity was noted in the vehicle group compared to Dex 2 days post-injury. These findings demonstrate that early initiation of anti-inflammatory therapy is very efficacious in preserving corneal clarity and facilitating wound healing, while modulating MMP production and suppressing neutrophil infiltration.
Autism-Specific Covariation in Perceptual Performances: “g” or “p” Factor?

BACKGROUND
Autistic perception is characterized by atypical and sometimes exceptional performance in several low- (e.g., discrimination) and mid-level (e.g., pattern matching) tasks in both visual and auditory domains. A factor that specifically affects perceptive abilities in autistic individuals should manifest as an autism-specific association between perceptual tasks. The first purpose of this study was to explore how perceptual performances are associated within or across processing levels and/or modalities. The second purpose was to determine if general intelligence, the major factor that accounts for covariation in task performances in non-autistic individuals, equally controls perceptual abilities in autistic individuals.


METHODS
We asked 46 autistic individuals and 46 typically developing controls to perform four tasks measuring low- or mid-level visual or auditory processing. Intelligence was measured with the Wechsler's Intelligence Scale (FSIQ) and Raven Progressive Matrices (RPM). We conducted linear regression models to compare task performances between groups and patterns of covariation between tasks. The addition of either Wechsler's FSIQ or RPM in the regression models controlled for the effects of intelligence.


RESULTS
In typically developing individuals, most perceptual tasks were associated with intelligence measured either by RPM or Wechsler FSIQ. The residual covariation between unimodal tasks, i.e. covariation not explained by intelligence, could be explained by a modality-specific factor. In the autistic group, residual covariation revealed the presence of a plurimodal factor specific to autism.


CONCLUSIONS
Autistic individuals show exceptional performance in some perceptual tasks. Here, we demonstrate the existence of specific, plurimodal covariation that does not dependent on general intelligence (or "g" factor). Instead, this residual covariation is accounted for by a common perceptual process (or "p" factor), which may drive perceptual abilities differently in autistic and non-autistic individuals.
Space and time: Continuity in the correspondence between Charles Peirce and Victoria Welby

Abstract Though from two different points of view, both Charles Peirce and Victoria Welby examined the problem of time during the same years. In their correspondence, whereas Peirce explains his position about the indeterminacy of the future, Lady Welby proposes her theory about the dependence of time on space. Since they both tacitly refer to Kant's thesis on space and time, Kantianism can be an extremely important tool in order to understand similarities and differences between Peirce's and Welby's philosophical views. Continuity, as well as time and space, is a crucial notion to clarify Peirce's statements: the definite development of the concept of continuity in his philosophy allows us to better understand his notion of reality and experience. The present essay proposes to focus on the importance of time in Peirce's metaphysical thought by emphasizing its connection with Welby's remarks on the centrality of Motion and Change in our experience.
Mean--Field and Nonlinear Dynamics in Many--Body Quantum Systems

In this paper we discuss in detail the nonlinear equations of the mean--field approximation and their connection to the exact many--body Schr\"odinger equation. Then we analyze the mean--field approach and the nonlinear dynamics of a trapped condensate of weakly--interacting bosons.
Assessing social responsibility : A quantitative analysis of Appraisal in BP ’ s and IKEA ’ s social reports

A growing public awareness of the potential negative impacts of corporate activities on the natural environment and society compels large companies to invest increasing resources in the communication of their responsible conduct. This paper employs Appraisal theory in a comparative analysis of BP’s and IKEA’s 2009 social reports, each company’s record of their nonfinancial performance. The main objective is to explore how, through Appraisal resources, BP and IKEA construct their corporate identity and relationship with their stakeholders. The analysis reveals two markedly different approaches to the construction of a responsible corporate identity. While BP deploys interpersonal resources to portray itself as a trustworthy and authoritative expert, IKEA discloses itself as a sensitive and caring corporation, engaged in a continual effort to improve. These differences are interpreted in light of the legitimisation challenges the two companies face. Keywords: discourse analysis, Appraisal, evaluation, stance, corpus-based approaches to evaluation, corporate social reports, corporate identity, legitimacy theory, corporate social responsibility This	  is	  a	  pre-­‐print	  version	  of	  an	  article	  that	  has	  been	  published	  in	  the journal	  Discourse	  &	  Communication,	  volume	  6,	  issue	  1.	  It	  can	  be	  cited as:	  Fuoli,	  M.	  2012.	  ‘Assessing	  social	  responsibility:	  A	  quantitative analysis	  of	  Appraisal	  in	  BP’s	  and	  IKEA’s	  social	  reports’,	  Discourse	  and Communication	  6	  (1),	  pp.	  55–81.	  For	  direct	  quotations	  and	  page numbers,	  please	  check	  the	  published	  version,	  which	  can	  be downloaded	  from	  here: http://dcm.sagepub.com/content/6/1/55.abstract
Selective corticostriatal plasticity during acquisition of an auditory discrimination task

Perceptual decisions are based on the activity of sensory cortical neurons, but how organisms learn to transform this activity into appropriate actions remains unknown. Projections from the auditory cortex to the auditory striatum carry information that drives decisions in an auditory frequency discrimination task. To assess the role of these projections in learning, we developed a channelrhodopsin-2-based assay to probe selectively for synaptic plasticity associated with corticostriatal neurons representing different frequencies. Here we report that learning this auditory discrimination preferentially potentiates corticostriatal synapses from neurons representing either high or low frequencies, depending on reward contingencies. We observe frequency-dependent corticostriatal potentiation in vivo over the course of training, and in vitro in striatal brain slices. Our findings suggest a model in which the corticostriatal synapses made by neurons tuned to different features of the sound are selectively potentiated to enable the learned transformation of sound into action.
Extended evaluation of the safety and efficacy of GAD treatment of children and adolescents with recent-onset type 1 diabetes: a randomised controlled trial

The aim of this study was to investigate the safety and efficacy of alum formulated glutamic acid decarboxylase GAD65 (GAD-alum) treatment of children and adolescents with type 1 diabetes after 4 years of follow-up. Seventy children and adolescents aged 10–18 years with recent onset type 1 diabetes participated in a phase II, double-blind, randomised placebo-controlled clinical trial. Patients identified as possible participants attended one of eight clinics in Sweden to receive information about the study and for an eligibility check, including a medical history. Participants were randomised to one of the two treatment groups and received either a subcutaneous injection of 20 μg of GAD-alum or placebo at baseline and 1 month later. The study was blinded to participants and investigators until month 30. The study was unblinded at 15 months to the sponsor and statistician in order to evaluate the data. At follow-up after 30 months there was a significant preservation of residual insulin secretion, as measured by C-peptide, in the group receiving GAD-alum compared with placebo. This was particularly evident in patients with <6 months disease duration at baseline. There were no treatment-related serious adverse events. We have now followed these patients for 4 years. Overall, 59 patients, 29 who had been treated with GAD-alum and 30 who had received placebo, gave their informed consent. One patient in each treatment group experienced an episode of keto-acidosis between months 30 and 48. There were no treatment-related adverse events. The primary efficacy endpoint was the change in fasting C-peptide concentration from baseline to 15 months after the prime injection for all participants per protocol set. In the GAD-alum group fasting C-peptide was 0.332 ± 0.032 nmol/l at day 1 and 0.215 ± 0.031 nmol/l at month 15. The corresponding figures for the placebo group were 0.354 ± 0.039 and 0.184 ± 0.033 nmol/l, respectively. The decline in fasting C-peptide levels between day 1 and month 1, was smaller in the GAD-alum group than the placebo group. The difference between the treatment groups was not statistically significant. In those patients who were treated within 6 months of diabetes diagnosis, fasting C-peptide had decreased significantly less in the GAD-alum group than in the placebo-treated group after 4 years. Four years after treatment with GAD-alum, children and adolescents with recent-onset type 1 diabetes continue to show no adverse events and possibly to show clinically relevant preservation of C-peptide. ClinicalTrials.gov NCT00435981 The study was funded by The Swedish Research Council K2008-55X-20652-01-3, Barndiabetesfonden (The Swedish Child Diabetes Foundation), the Research Council of Southeast Sweden, and an unrestricted grant from Diamyd Medical AB.
Forecasting Euro Area Inflation: Does Aggregating Forecasts by HICP Component Improve Forecast Accuracy?

Monitoring and forecasting price developments in the euro area is essential in light of the two-pillar framework of the ECB’s monetary policy strategy. This study analyses whether the accuracy of forecasts of aggregate euro area inflation can be improved by aggregating forecasts of subindices of the Harmonized Index of Consumer Prices (HICP) as opposed to forecasting the aggregate HICP directly. The analysis includes univariate and multivariate linear time series models and distinguishes between different forecast horizons, HICP components and inflation measures. Various model selection procedures are employed to select models for the aggregate and the disaggregate components. The results indicate that aggregating forecasts by component does not necessarily help forecast year-on-year inflation twelve months ahead. JEL Codes: E31, E37, C53, C32