LLukas22/scidocs huggingface dataset:
Open System Categorical Quantum Semantics in Natural Language Processing

Originally inspired by categorical quantum mechanics (Abramsky and Coecke, LiCS’04), the categorical compositional distributional model of natural language meaning of Coecke, Sadrzadeh and Clark provides a conceptually motivated procedure to compute the meaning of a sentence, given its grammatical structure within a Lambek pregroup and a vectorial representation of the meaning of its parts. Moreover, just like CQM allows for varying the model in which we interpret quantum axioms, one can also vary the model in which we interpret word meaning. In this paper we show that further developments in categorical quantum mechanics are relevant to natural language processing too. Firstly, Selinger’s CPM-construction allows for explicitly taking into account lexical ambiguity and distinguishing between the two inherently different notions of homonymy and polysemy. In terms of the model in which we interpret word meaning, this means a passage from the vector space model to density matrices. Despite this change of model, standard empirical methods for comparing meanings can be easily adopted, which we demonstrate by a small-scale experiment on real-world data. Secondly, commutative classical structures as well as their non-commutative counterparts that arise in the image of the CPMconstruction allow for encoding relative pronouns, verbs and adjectives, and finally, iteration of the CPM-construction, something that has no counterpart in the quantum realm, enables one to accommodate both entailment and ambiguity. 1998 ACM Subject Classification I.2.7 Natural Language Processing
A Systematic Review of Factors Influencing Fertility Desires and Intentions Among People Living with HIV/AIDS: Implications for Policy and Service Delivery

With availability of antiretroviral treatments, HIV is increasingly recognised as a chronic disease people live with for many years. This paper critically reviews the current literature on fertility desires and reproductive intentions among people living with HIV/AIDS (PLHIV) and critiques the theoretical frameworks and methodologies used. A systematic review was conducted using electronic databases: ISI Web of Knowledge, Science Direct, Proquest, Jstor and CINAHL for articles published between 1990 and 2008. The search terms used were fertility desire, pregnancy, HIV, reproductive decision making, reproductive intentions, motherhood, fatherhood and parenthood. Twenty-nine studies were reviewed. Fertility desires were influenced by a myriad of demographic, health, stigma-associated and psychosocial factors. Cultural factors were also important, particularly in Sub-Saharan Africa and Asia. Future research that examines fertility desires among PLHIV should include cultural beliefs and practices in the theoretical framework in order to provide a holistic understanding and to enable development of services that meet the reproductive needs of PLHIV.
Cost-effectiveness of preoperative radiotherapy in rectal cancer: results from the Swedish Rectal Cancer Trial.

PURPOSE
The Swedish Rectal Cancer Trial (SRCT) demonstrated that a short-term regimen of high-dose fractionated preoperative radiotherapy (5 x 5 Gy) reduced the local recurrence rates and improved overall survival. This has had an impact on the primary treatment of rectal cancer. The current study investigated the cost-effectiveness of the new combined approach.


METHODS AND MATERIALS
After an 8-year follow-up, in-hospital and outpatient costs related to the treatment of rectal cancer and its complications were analyzed for 98 randomly allocated patients who participated in the SRCT from a single Swedish health care region. The costs were then related to the clinical data from the SRCT regarding complications, local and distant recurrences, and survival.


RESULTS
The total cost for a nonirradiated patient was US$30,080 compared with US$35,268 for an irradiated patient. The surgery-alone group had increased costs related to local recurrences, and the radiotherapy group had increased costs for irradiation and complications. With a survival benefit of 21 months (retrieved from the SRCT), the cost for a saved year was US$3654. Sensitivity analyses for different rates of local recurrences, the costs related to complications and less marked survival benefit showed that this figure could vary up to US$15,228.


CONCLUSION
The cost for a life-year saved in these data was US$3654. This figure could reach US$15,228 in the most pessimistic setting of the sensitivity tests, a cost still comparable with other well-accepted medical interventions.
Tobacco, alcohol and illicit drug use among Aboriginal youth living off-reserve: results from the Youth Smoking Survey.

BACKGROUND
Despite the high prevalence of smoking among Aboriginal youth, there is a paucity of research related to tobacco use and other risk behaviours among Aboriginal youth living off-reserve in Canada. We used data from the national Youth Smoking Survey to characterize non-traditional tobacco use, exposure to second-hand smoke, and alcohol and drug use among Aboriginal youth living off-reserve. We examined whether these youth were at increased health risk compared with non-Aboriginal youth.


METHODS
We examined cigarette smoking behaviour, use of other tobacco products, use of alcohol and other drugs, and exposure to second-hand smoke among 2620 Aboriginal youth living off-reserve and 26,223 non-Aboriginal youth in grades 9 to 12 who participated in the 2008/09 Youth Smoking Survey.


RESULTS
The prevalence of current smoking among the Aboriginal youth was more than double that among non-Aboriginal youth (24.9% v. 10.4%). Aboriginal youth also had a higher prevalence of regular exposure to second-hand smoke at home (37.3% v. 19.7%) and in cars (51.0% v. 30.3%). Aboriginal youth were more likely than non-Aboriginal youth to be current smokers, to be regularly exposed to second-hand smoke, to have tried marijuana and other illicit drugs, and to engage in binge drinking. They were less likely than non-Aboriginal youth to have tried to quit smoking.


INTERPRETATION
Current national estimates of smoking, and alcohol and illicit drug use among youth underestimate the prevalence of these behaviours among Aboriginal youth living off-reserve. Our findings highlight the need for culturally appropriate prevention and cessation policies and programs for this at-risk population.
Health care index score and risk of death following tuberculosis diagnosis in HIV-positive patients.

OBJECTIVES
To assess health care utilisation for patients co-infected with TB and HIV (TB-HIV), and to develop a weighted health care index (HCI) score based on commonly used interventions and compare it with patient outcome.


METHODS
A total of 1061 HIV patients diagnosed with TB in four regions, Central/Northern, Southern and Eastern Europe and Argentina, between January 2004 and December 2006 were enrolled in the TB-HIV study. A weighted HCI score (range 0-5), based on independent prognostic factors identified in multivariable Cox models and the final score, included performance of TB drug susceptibility testing (DST), an initial TB regimen containing a rifamycin, isoniazid and pyrazinamide, and start of combination antiretroviral treatment (cART).


RESULTS
The mean HCI score was highest in Central/Northern Europe (3.2, 95%CI 3.1-3.3) and lowest in Eastern Europe (1.6, 95%CI 1.5-1.7). The cumulative probability of death 1 year after TB diagnosis decreased from 39% (95%CI 31-48) among patients with an HCI score of 0, to 9% (95%CI 6-13) among those with a score of ≥4. In an adjusted Cox model, a 1-unit increase in the HCI score was associated with 27% reduced mortality (relative hazard 0.73, 95%CI 0.64-0.84).


CONCLUSIONS
Our results suggest that DST, standard anti-tuberculosis treatment and early cART may improve outcome for TB-HIV patients. The proposed HCI score provides a tool for future research and monitoring of the management of TB-HIV patients. The highest HCI score may serve as a benchmark to assess TB-HIV management, encouraging continuous health care improvement.
A phase I study of decitabine with pegylated interferon α-2b in advanced melanoma: impact on DNA methylation and lymphocyte populations

Background Melanoma cell lines treated with decitabine show upregulation of cancer antigens, and interferon-α upregulates MHC Class I antigens in cancer cells, leading to enhanced T-cell recognition and T-cell mediated tumor apoptosis. We evaluated the synergy between the hypomethylating effects of decitabine and the immunomodulatory effects of interferon in a combination regimen administered to advanced melanoma patients in a phase 1 trial. Methods Patients with one prior systemic therapy were eligible. Using a modified 3 + 3 design, patients received escalating doses of decitabine and pegylated interferon α-2b (PEG-IFN) during every 28-day treatment cycle. Global DNA methylation was measured on days 1 and 5 of cycles 1 and 3. Cytokine profiling and quantification of T-cell subpopulations by FACS were performed at baseline and cycle 3. Results Seventeen patients were assigned to one of four dose levels. Decitabine 15 mg/m2/d + PEG-IFN 3 μg/kg was the maximum tolerated dose (MTD). Grade 3/4 cytopenias were seen across all dose levels: anemia (1), neutropenia (7), and thrombocytopenia (2). One patient remained progression-free for 37 weeks. The other 16 patients progressed at or before 12 weeks. Median overall survival was 39 weeks. Hypomethylation was seen at all dose levels. Due to treatment-induced lymphocytopenia, absolute changes in T-cell populations post-treatment were too small to be meaningfully interpreted. Conclusions The response to this combination regimen was characterized by significant myelosuppression, particularly neutropenia. Although disappointing efficacy and slow accrual led to early closure of the trial, hypomethylation showed pharmacodynamic evidence of a therapeutic effect of decitabine at all dose levels.
Integrating Blockchain, Smart Contract-Tokens, and IoT to Design a Food Traceability Solution

Information asymmetry exists amongst stakeholders in the current food supply chain. Lack of standardization in data format, lack of regulations, and siloed, legacy information systems exasperate the problem. Global agriculture trade is increasing creating a greater need for traceability in the global supply chain. This paper introduces Harvest Network, a theoretical end-to-end, vis a vie “farm-to-fork”, food traceability application integrating the Ethereum blockchain and IoT devices exchanging GS1 message standards. The goal is to create a distributed ledger accessible for all stakeholders in the supply chain. Our design effort creates a basic framework (artefact) for building a prototype or simulation using existing technologies and protocols [1]. The next step is for industry practitioners and researchers to apply AGILE methods for creating working prototypes and advanced projects that bring about greater transparency.
Resurfacing of Pitted Facial Acne Scars Using Er:YAG Laser with Ablation and Coagulation Mode

Although the conventional, short-pulsed erbium: yttrium-aluminum-garnet (Er:YAG) laser provides substantial clinical improvement for pitted, facial acne scars, it shows less effective hemostasis and limited residual thermal effect in the dermis. Recently, dual-mode Er:YAG laser systems with both ablation and coagulation modes have been developed. The purpose of this study was to evaluate the clinical and histologic effects of resurfacing pitted, facial acne scars with a dual-mode Er:YAG laser. Twenty patients with pitted facial acne scars underwent laser resurfacing using a computerized-scanning, dual-mode Er:YAG laser. All patients had Fitzpatrick skin types ranging III–V. Initially, the epidermis was removed in two passes using the ablative settings. This step was followed by two passes in a mixed ablation and coagulation mode, to produce further ablation and controlled, residual thermal damage. A final pass in a ablation mode was used to remove necrotic tissue. Laser overlapping was approximately 30%. The results of laser treatment were evaluated for the degree of clinical improvement, duration of erythema, pigmentary change, and any adverse events at two weeks, one month, and three months. In two patients, skin biopsies were obtained at the following intervals: immediately and two weeks postoperatively for histologic examination. There was a 75% average clinical improvement observed in pitted, facial acne scars after laser treatment. Complete wound healing occurred between six and eight days. On histologic examination, complete re-epithelialization was observed at two weeks. Erythema occurred in all patients after laser treatment and lasted longer than three months in 10 patients (50%). Post-inflammatory hyperpigmentation occurred in 12 patients (60%) two to four weeks after laser treatment and lasted longer than three months in one patient (5%). One patient (5%) experienced mild hypopigmention. Mild to moderate, postoperative acne flare-up occurred in seven patients (35%). No other adverse effects were observed. In conclusion, resurfacing with a dual-mode Er:YAG laser is a safe and effective treatment modality for pitted, facial acne scars.
Geometric mean based boosting algorithm with over-sampling to resolve data imbalance problem for bankruptcy prediction

In classification or prediction tasks, data imbalance problem is frequently observed when most of instances belong to one majority class. Data imbalance problem has received considerable attention in machine learning community because it is one of the main causes that degrade the performance of classifiers or predictors. In this paper, we propose geometric mean based boosting algorithm (GMBoost) to resolve data imbalance problem. GMBoost enables learning with consideration of both majority and minority classes because it uses the geometric mean of both classes in error rate and accuracy calculation. To evaluate the performance of GMBoost, we have applied GMBoost to bankruptcy prediction task. The results and their comparative analysis with AdaBoost and cost-sensitive boosting indicate that GMBoost has the advantages of high prediction power and robust learning capability in imbalanced data as well as balanced data distribution. 2014 Elsevier Ltd. All rights reserved.
Design and process variation analysis of CNTFET-based ternary memory cells

Two novel ternary CNTFET-based SRAM cells are proposed in this paper. The first proposed CNTFET SRAM uses additional CNTFETs to sink the bit lines to ground; its operation is nearly independent of the ternary values. The second cell utilizes the traditional voltage controller (or supply) of a binary SRAM in a ternary SRAM; it consists of adding two CNTFETs to the first proposed cell. CNTFET features (such as sizing and density) and performance metrics (such as SNM and PDP) and write/read times are considered and assessed in detail. The impact of different features (such as chirality and CNT density) is also analyzed with respect to the operations of the memory cells. The effects of different process variations (such as lithography and density/number of CNTs) are extensively evaluated with respect to performance metrics. In nearly all cases, the proposed cells outperform existing CNTFET-based cells by showing a small standard deviation in the simulated memory circuits. & 2016 Published by Elsevier B.V. 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97
Effects of exergaming on executive function and motor skills in children with autism spectrum disorder: a pilot study.

Executive function (EF) and motor deficits have consistently been documented in studies of people with autism spectrum disorders (ASD). We investigated the effects of a pilot 30-session Makoto arena training intervention, a light and sound speed-based exergame, on response speed, EF, and motor skills in school-aged children with ASD. Strong correlations were seen between certain EF and motor scores, suggesting a relationship between the two constructs. Participants increased their average reaction speed (effect size = 1.18). Significant improvement was seen in the EF areas of working memory and metacognition and the motor area of strength and agility. Findings suggest that use of exergaming, specifically the Makoto arena, has the potential to be a valuable addition to standard intervention for children with ASD who have motor and EF impairments.
A methodological approach for non-invasive sampling for population size estimates in wild boars (Sus scrofa)

Composite microsatellite genotypes were determined at five loci from 35 tissue-sampled wild boars and used as reference genotypes to estimate both allelic drop-out rate and false allele rate in comparison to genotypes from scats and hair strands of the same animals. These rates allow to assess the genotyping reliability when only non-invasively collected material is available. Polymerase chain reaction (PCR) amplification from scats was often corrupted by inhibitors and worked poorly, whereas genotyping success in hair samples was high. Body region of hair origin had no influence on PCR suitability, whereas the type of hair had. We recommend the use of bristles. PCR conditions were optimized for single-hair (bristle) genotyping.
LCP-Nets: A Linguistic Approach for Non-functional Preferences in a Semantic SOA Environment

This paper addresses the problem of expressing preferences among nonfunctional properties of services in a Web service architecture. In such a context, semantic and non-functional annotations are required on service declarations and business process calls to services in order to select the best available service for each invocation. To cope with these multi-criteria decision problems, conditional and unconditional preferences are managed using a new variant of conditional preference networks (CPnets), taking into account uncertainty related to the preferences to achieve a better satisfaction rate. This variant, called LCP-nets, uses fuzzy linguistic information inside the whole process, from preference elicitation to outcome query computation, a qualitative approach that is more suitable to business process programmers. Indeed, in LCP-nets, preference variables and utilities take linguistic values while conditional preference tables are considered as fuzzy rules which interdependencies may be complex. The expressiveness of the graphical model underlying CP-nets provides for solutions to gather all the preferences under uncertainty and to tackle interdependency problems. LCP-nets are applied to the problem of selecting the best service among a set of offers, given their dynamic non-functional properties. The implementation of LCP-nets is presented step-by-step through a real world example.
ACTAM: Cooperative Multi-Agent System Architecture for Urban Traffic Signal Control

The traffic congestion problem in urban areas is worsening since traditional traffic signal control systems cannot provide] efficient traffic regulation. Therefore, dynamic traffic signal control in Intelligent Transportation System (ITS) recently has received increasing attention. This study devised a multi-agent architecture, the Adaptive and Cooperative Traffic light Agent Model (ACTAM), for a decentralized traffic signal control system. The proposed architecture comprises a data storage and communication layer, a traffic regulation factor processing layer, and a decision-making layer. This study focused on utilizing the cooperation of multi-agents and the prediction mechanism of our architecture, the Forecast Module, to forecast future traffic volume in each individual intersection. The Forecast Module is designed to forecast traffic volume in an intersection via multi-agent cooperation by exchanging traffic volume information for adjacent intersections, since vehicles passing through nearby intersections were believed to significantly influence the traffic volume of specific intersections. The proposed architecture can achieve dynamic traffic signal control. Thus, total delay time of the traffic network under ACTAM can be reduced by 37% compared to the conventional fixed sequence traffic signal control strategy. Consequently, traffic congestion in urban areas can be alleviated by adopting ACTAM. key words: intelligent agents, multi-agent systems (MAS), decentralized control, dynamic traffic signal control
Hegel's Discovery of History

Hegel's philosophy of history is conventionally regarded as a part of his mature “system of science.” And so it is. What is less frequently understood, however, is that this philosophy grew out of or can at least be understood as an attempt to come to terms with a crisis in the tradition of modern natural right.
A hybrid fuzzy evaluation method for safety assessment of food-waste feed based on entropy and the analytic hierarchy process methods

The product safety of food-waste feed is the key factor limiting the development of its industrial chain. In this paper, we construct a method based on data from the testing of food-waste feed with comprehensive evaluation of its product safety by integrating fuzzy mathematics effectively, i.e., the entropy method (EM), and the model of the analytic hierarchy (AHP) process. Furthermore, a hierarchical three-level evaluation-index system including biological-safety and chemical-safety considerations is first established via data analysis, data surveys and expert experiential investigation as well, with an actual case in China being fully applied. In addition, we apply the EM and AHP process to calculate the weights of the individual evaluation indices. Finally, through the dimensionless treatment of test data from samples, we determine the degree of membership of each test value relative to the different levels of safety using a trapezoidal membership function. By adopting the developed three-level model of fuzzy mathematics for comprehensive evaluation, we derive the safety grades of tested samples. The comprehensive evaluation method developed in this paper can effectively overcome the shortcomings of traditional single-factor evaluation and offer the qualitative and quantitative advantages of expert survey and basic data research as well. As a result, it is considerably applicable for the product-safety analysis and production control of animal feed generated from food waste. 2014 Elsevier Ltd. All rights reserved.