LLukas22/scidocs huggingface dataset:
Hybrid SVM & ARMAX based mid-term electricity market clearing price forecasting

A hybrid mid-term electricity MCP forecasting model combining both support vector machine (SVM) and autoregressive moving average with external input (ARMAX) modules is presented in this paper. Currently, there are many techniques available for short-term electricity market clearing price (MCP) forecasting, but very little has been done in the area of mid-term electricity MCP forecasting. Mid-term electricity MCP forecasting has become essential for resources reallocation, maintenance scheduling, bilateral contracting, budgeting and planning purposes. The proposed hybrid model showed improved forecasting accuracy compared to a forecasting model using a single SVM. PJM interconnection data have been utilized to illustrate the proposed model with numerical examples.
Recognizing 50 human action categories of web videos

Action recognition on large categories of unconstrained videos taken from the web is a very challenging problem compared to datasets like KTH (6 actions), IXMAS (13 actions), and Weizmann (10 actions). Challenges like camera motion, different viewpoints, large interclass variations, cluttered background, occlusions, bad illumination conditions, and poor quality of web videos cause the majority of the state-of-the-art action recognition approaches to fail. Also, an increased number of categories and the inclusion of actions with high confusion add to the challenges. In this paper, we propose using the scene context information obtained from moving and stationary pixels in the key frames, in conjunction with motion features, to solve the action recognition problem on a large (50 actions) dataset with videos from the web. We perform a combination of early and late fusion on multiple features to handle the very large number of categories. We demonstrate that scene context is a very important feature to perform action recognition on very large datasets. The proposed method does not require any kind of video stabilization, person detection, or tracking and pruning of features. Our approach gives good performance on a large number of action categories; it has been tested on the UCF50 dataset with 50 action categories, which is an extension of the UCF YouTube Action (UCF11) dataset containing 11 action categories. We also tested our approach on the KTH and HMDB51 datasets for comparison.
Implementing a fog/cloud architecture for supporting stream data management

The Internet of Mobile Things (IoMT) requires support for a data lifecycle process ranging from sorting, cleaning and monitoring data streams to more complex tasks such as querying, aggregation, and analytics. Current solutions for stream data management in IoMT have been focused on partial aspects of a data lifecycle process, with special emphasis on sensor networks. This paper aims to address this problem by developing an offline and real-time data lifecycle process that incorporates a layered, data-flow centric, and an edge/cloud computing approach that is needed for handling heterogeneous, streaming and geographicallydispersed IoMT data streams. We propose an end to end architecture to support an instant intra-layer communication that establishes a stream data flow in real-time to respond to immediate data lifecycle tasks at the edge layer of the system. Our architecture also provides offline functionalities for later analytics and visualization of IoMT data streams at the core layer of the system. Communication and process are thus the defining factors in the design of our stream data management solution for IoMT. We describe and evaluate our prototype implementation using real-time transit data feeds and a commercial edge-based platform. Preliminary results are showing the advantages of running data lifecycle tasks at the edge of the network for reducing the volume of data streams that are redundant and should not be transported to the cloud. Keywords—stream data lifecycle, edge computing, cloud computing, Internet of Mobile Things, end to end architectures
Cost-effectiveness analyses for mirtazapine and sertraline in dementia: randomised controlled trial.

BACKGROUND
Depression is a common and costly comorbidity in dementia. There are very few data on the cost-effectiveness of antidepressants for depression in dementia and their effects on carer outcomes.


AIMS
To evaluate the cost-effectiveness of sertraline and mirtazapine compared with placebo for depression in dementia.


METHOD
A pragmatic, multicentre, randomised placebo-controlled trial with a parallel cost-effectiveness analysis (trial registration: ISRCTN88882979 and EudraCT 2006-000105-38). The primary cost-effectiveness analysis compared differences in treatment costs for patients receiving sertraline, mirtazapine or placebo with differences in effectiveness measured by the primary outcome, total Cornell Scale for Depression in Dementia (CSDD) score, over two time periods: 0-13 weeks and 0-39 weeks. The secondary evaluation was a cost-utility analysis using quality-adjusted life years (QALYs) computed from the Euro-Qual (EQ-5D) and societal weights over those same periods.


RESULTS
There were 339 participants randomised and 326 with costs data (111 placebo, 107 sertraline, 108 mirtazapine). For the primary outcome, decrease in depression, mirtazapine and sertraline were not cost-effective compared with placebo. However, examining secondary outcomes, the time spent by unpaid carers caring for participants in the mirtazapine group was almost half that for patients receiving placebo (6.74 v. 12.27 hours per week) or sertraline (6.74 v. 12.32 hours per week). Informal care costs over 39 weeks were £1510 and £1522 less for the mirtazapine group compared with placebo and sertraline respectively.


CONCLUSIONS
In terms of reducing depression, mirtazapine and sertraline were not cost-effective for treating depression in dementia. However, mirtazapine does appear likely to have been cost-effective if costing includes the impact on unpaid carers and with quality of life included in the outcome. Unpaid (family) carer costs were lower with mirtazapine than sertraline or placebo. This may have been mediated via the putative ability of mirtazapine to ameliorate sleep disturbances and anxiety. Given the priority and the potential value of supporting family carers of people with dementia, further research is warranted to investigate the potential of mirtazapine to help with behavioural and psychological symptoms in dementia and in supporting carers.
Frequency of Perceived Poststress Symptoms in Inpatients, Outpatients and Healthy Controls: The Role of Perceived Exhaustion and Stress.

BACKGROUND
Poststress symptoms occur as a consequence of stress, most commonly during leisure periods such as weekends and vacations. However, the prevalence and the pathological mechanisms of poststress symptoms are poorly understood.


METHODS
Here, we compared the frequency of poststress symptoms in healthy controls (n = 984), outpatients (n = 420), and inpatients (n = 101). In outpatients, demographic factors, psychosocial stress, and perceived exhaustion were tested as predictors of poststress symptoms with multivariate regression analysis. Poststress symptoms and perceived exhaustion were assessed using 2 Neuropattern Questionnaires (the NPQ - Patient Questionnaire and the NPQ - Symptom List), and psychosocial stress was evaluated using the Patient Health Questionnaire (PHQ).


RESULTS
Poststress symptoms appeared in 2.9% of healthy controls, 20.0% of outpatients, and 34.7% of inpatients. Predictors were educational level, psychosocial stress, and perceived exhaustion. Poststress symptoms differed primarily between exhausted (75.0%) and nonexhausted patients (25.0%).


CONCLUSION
Poststress symptoms are rather common in clinical populations, and they are primarily associated with the degree of perceived exhaustion. Preliminary evidence suggests that poststress symptoms are possibly related to depletion of norepinephrine stores, which may facilitate a stratified preventive and therapeutic treatment of these subjects.
Real-Time Omnidirectional Image Sensors

Conventional T.V. cameras are limited in their field of view. A real-time omnidirectional camera which can acquire an omnidirectional (360 degrees) field of view at video rate and which could be applied in a variety of fields, such as autonomous navigation, telepresence, virtual reality and remote monitoring, is presented. We have developed three different types of omnidirectional image sensors, and two different types of multiple-image sensing systems which consist of an omnidirectional image sensor and binocular vision. In this paper, we describe the outlines and fundamental optics of our developed sensors and show examples of applications for robot navigation.
Pain and the dying process: nurses’ perspectives using the creative and sensible method

Aim: to describe the possibilities of nursing care for the terminally ill oncology patient from the perspective of the nursing team. Method: This is a descriptive, exploratory study, using a qualitative approach. To gather the data, we used the creative and sensible method, through a group dynamic called Almanac. The data obtained was later analyzed based on French discourse analysis theory. Results: The discourses of the nursing professionals point to a preoccupation with pain management and the comfort of the terminally ill oncology patient, proposing the adoption of pharmaceutical therapy, as well as recreational activities and multidisciplinary actions to minimize the pain. Discussion: Based on the nurses’ perspectives of pain management, solidarity and sensibility are demonstrated to be motivational elements for professionals, in order to find strategies that enable some quality in the dying process. Conclusion: We are able to foresee the possibility of providing a dignified death for people diagnosed with a neoplastic illness who do not have any chance of survival, even though sometimes the nurses are faced with limitations in how to approach the ideal holistic healthcare.
Rice hull smoke extract inactivates Salmonella Typhimurium in laboratory media and protects infected mice against mortality.

UNLABELLED
A previously characterized rice hull smoke extract (RHSE) was tested for bactericidal activity against Salmonella Typhimurium using the disc-diffusion method. The minimum inhibitory concentration (MIC) value of RHSE was 0.822% (v/v). The in vivo antibacterial activity of RHSE (1.0%, v/v) was also examined in a Salmonella-infected Balb/c mouse model. Mice infected with a sublethal dose of the pathogens were administered intraperitoneally a 1.0% solution of RHSE at four 12-h intervals during the 48-h experimental period. The results showed that RHSE inhibited bacterial growth by 59.4%, 51.4%, 39.6%, and 28.3% compared to 78.7%, 64.6%, 59.2%, and 43.2% inhibition with the medicinal antibiotic vancomycin (20 mg/mL). By contrast, 4 consecutive administrations at 12-h intervals elicited the most effective antibacterial effect of 75.0% and 85.5% growth reduction of the bacteria by RHSE and vancomycin, respectively. The combination of RHSE and vancomycin acted synergistically against the pathogen. The inclusion of RHSE (1.0% v/w) as part of a standard mouse diet fed for 2 wk decreased mortality of 10 mice infected with lethal doses of the Salmonella. Photomicrographs of histological changes in liver tissues show that RHSE also protected the liver against Salmonella-induced pathological necrosis lesions. These beneficial results suggest that the RHSE has the potential to complement wood-derived smokes as antimicrobial flavor formulations for application to human foods and animal feeds.


PRACTICAL APPLICATION
The new antimicrobial and anti-inflammatory rice hull derived liquid smoke has the potential to complement widely used wood-derived liquid smokes as an antimicrobial flavor and health-promoting formulation for application to foods.
A Survey on Open Information Extraction

We provide a detailed overview of the various approaches that were proposed to date to solve the task of Open Information Extraction. We present the major challenges that such systems face, show the evolution of the suggested approaches over time and depict the specific issues they address. In addition, we provide a critique of the commonly applied evaluation procedures for assessing the performance of Open IE systems and highlight some directions for future work.
Free/libre open source software implementation in schools: Evidence from the field and implications for the future

This empirical paper shows how free/libre open source software (FLOSS) contributes to mutual and collaborative learning in an educational environment. Unlike proprietary software, FLOSS allows extensive customisation of software to support the needs of local users better. This also allows users to participate more proactively in the development and implementation process of a FLOSS-based system. In this paper, we observes how implementing FLOSS in an Italian high school challenges the conventional relationship between end users themselves (e.g. teachers and students) and that between users and developers. The findings will shed some light on the social aspects of FLOSS-based computerization – including the role of FLOSS in social and organizational change in educational environments and the ways that the social organization of FLOSS are influenced by social forces and social practices. 2006 Elsevier Ltd. All rights reserved.
Durability of FRP rods for concrete structures

Over the last two decades fiber-reinforced polymer (FRP) rods have emerged as one of the most promising and affordable solutions to the corrosion problems of steel reinforcement in structural concrete. The application of FRP rods in new or damaged structures requires the development of design equations that must take into account the mechanical properties and the durability properties of FRP products. Concerns still remain about the structural behavior of FRP materials under severe environmental and load conditions for longtime exposures. In the case of glass FRP rods, it is the high pH of the pore water solution created during the hydration of the concrete that may cause the chemical attack of the fibers. In this study, an effort was made to develop an experimental protocol to study the effects of accelerated aging on FRP rods. The physico-mechanical properties of five types of carbon and glass FRP rods were investigated. FRP specimens were subjected to alkaline simulated concrete pore solution and environmental agents including freeze-thaw, high relative humidity, high temperature and ultraviolet (UV) radiations. Mechanical and physical tests were used to measure the retained properties and to observe the causes of damage and strength reduction. The experimental data showed that resin properties may strongly influence the durability of FRP reinforcement, environmental combined cycles did not take to significant damage of conditioned rod-specimens, GFRP rods are sensitive to alkaline attack when resin does not provide adequate protection to fibers. 2004 Elsevier Ltd. All rights reserved.
Six Requirements for a Working Memory System

Starting from the premise that working memory is a system for providing access to representations for complex cognition, six requirements for a working memory system are delineated: (1) maintaining structural representations by dynamic bindings, (2) manipulating structural representations, (3) flexible reconfiguration, (4) partial decoupling from long-term memory, (5) controlled retrieval from long-term memory, and (6) encoding of new structures into longterm memory. The chapter proposes an architecture for a system that meets these requirements. The working memory system consists of a declarative and a procedural part, each of which has three embedded components: the activated part of long-term memory, a component for creating new structural representations by dynamic bindings (the ‘‘region of direct access’’ for declarative working memory, and the ‘‘bridge’’ for procedural working memory), and a mechanism for selecting a single element (‘‘focus of attention’’ for declarative working memory, and ‘‘response focus’’ for procedural working memory). The architecture affords two modes of information processing, an analytical and an associative mode. This distinction provides a theoretically founded formulation of a dual-process theory of reasoning. DOI: https://doi.org/10.1016/S0079-7421(09)51002-X Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-28472 Originally published at: Oberauer, Klaus (2009). Design for a Working Memory. Psychology of Learning and Motivation, 51:45100. DOI: https://doi.org/10.1016/S0079-7421(09)51002-X
Non-anti-MAG DADS neuropathy as a variant of CIDP: clinical, electrophysiological, laboratory features and response to treatment in 10 cases.

BACKGROUND AND PURPOSE
Some patients within the spectrum of chronic inflammatory demyelinating polyradiculoneuropathies (CIDP) have distal acquired demyelinating symmetric (DADS) neuropathy, usually associated with anti-myelin-associated-glycoprotein (MAG) IgM monoclonal gammopathy. The aim of this retrospective study was to investigate patients with DADS neuropathy without anti-MAG antibodies, and study their response to immunotherapy.


METHODS
Patients were selected on the basis of (i) 'Definite CIDP' according to the EFNS/PNS Guideline criteria, (ii) The presence of disproportionately prolonged motor latencies resulting in a terminal latency index (TLI) ≤ 0.25 in at least two motor nerves and (iii) The absence of anti-MAG antibodies on ELISA. Response to immunotherapy was defined as persistent improvement by at least one point on the INCAT disability score.


RESULTS
Data from 146 CIDP patients were analysed, and 10 patients were included. Six had clinically pure sensory neuropathy, and four had sensorimotor neuropathy. Ataxia was present in nine patients, generalized areflexia in seven and postural tremor in two. Five of the 10 patients had abnormal sensory potentials only in the upper limbs. An associated condition was found in nine patients: two chronic lymphocytic leukaemias, four IgG monoclonal gammopathies (one associated with non-Hodgkin's lymphoma) and two IgM monoclonal gammopathies of unknown significance. Patients were mostly improved with intravenous immunoglobulin (IVIg), corticosteroids, plasma exchanges, or a combination thereof.


CONCLUSION
DADS neuropathy without anti-MAG antibodies is more likely to be considered a variant of CIDP. In addition, such patients should be systematically investigated for an associated haematological or immunological condition.
Effects of Repeatedly Heated Palm Oil on Serum Lipid Profile, Lipid Peroxidation and Homocysteine Levels in a Post-Menopausal Rat Model

Oxidized unsaturated fatty acids may contribute to the pathogenesis of atherosclerosis. In the present study, we examined the effects of heated palm oil mixed with 2% cholesterol diet on serum lipid profile, homocysteine and thiobarbituric acid reactive substances (TBARS) levels in estrogen-deficient rats. Twenty-four female Sprague Dawley rats were ovariectomized and then were divided equally into four groups. The control group was given 2% cholesterol diet only throughout the study period. The three treatment groups received 2% cholesterol diet fortified with fresh, once-heated or five-times-heated palm oil, respectively. Serum TBARS, lipid profile and homocysteine levels were measured prior to ovariectomy and at the end of four months of the study. Five-times-heated palm oil caused a significant increase in TBARS and total cholesterol (TC) compared to control (F=22.529, p<0.05). There was a significant increase in serum homocysteine in the control as well as five-times heated palm oil group compared to fresh and once-heated palm oil groups (F=4.432, p<0.05). The findings suggest that repeatedly heated palm oil increase lipid peroxidation and TC. Ovariectomy increases the development of atherosclerosis as seen in this study. Feeding with fresh and once-heated palm oil does not cause any deleterious effect but repeatedly heated oil may be harmful because it causes oxidative damage thereby predisposing to atherosclerosis.
Elementary gates for quantum computation.

We show that a set of gates that consists of all one-bit quantum gates (U(2)) and the two-bit exclusive-or gate (that maps Boolean values (x, y) to (x, x⊕y)) is universal in the sense that all unitary operations on arbitrarily many bits n (U(2n)) can be expressed as compositions of these gates. We investigate the number of the above gates required to implement other gates, such as generalized Deutsch-Toffoli gates, that apply a specific U(2) transformation to one input bit if and only if the logical AND of all remaining input bits is satisfied. These gates play a central role in many proposed constructions of quantum computational networks. We derive upper and lower bounds on the exact number of elementary gates required to build up a variety of twoand three-bit quantum gates, the asymptotic number required for n-bit Deutsch-Toffoli gates, and make some observations about the number required for arbitrary n-bit unitary operations. PACS numbers: 03.65.Ca, 07.05.Bx, 02.70.Rw, 89.80.+h ∗ Clarendon Laboratory, Oxford OX1 3PU, UK; a.barenco@mildred.physics.ox.ac.uk. † Yorktown Heights, New York, NY 10598, USA; bennetc/divince@watson.ibm.com. ‡ Department of Computer Science, Calgary, Alberta, Canada T2N 1N4; cleve@cpsc.ucalgary.ca. § Laboratory for Computer Science, Cambridge MA 02139 USA; nhm@im.lcs.mit.edu. ¶ Murray Hill, NJ 07974 USA; shor@research.att.com. ‖ Physics Dept., New York, NY 10003 USA; tycho@sleator.physics.nyu.edu. ∗∗ Physics Dept., Los Angeles, CA 90024; smolin@vesta.physics.ucla.edu. (and IBM Research.) †† Inst. for Exptl. Physics, A-6020 Innsbruck, Austria; harald.weinfurter@uibk.ac.at.
End-to-End Probabilistic Inference for Nonstationary Audio Analysis

A typical audio signal processing pipeline includes multiple disjoint analysis stages, including calculation of a time-frequency representation followed by spectrogram-based feature analysis. We show how time-frequency analysis and nonnegative matrix factorisation can be jointly formulated as a spectral mixture Gaussian process model with nonstationary priors over the amplitude variance parameters. Further, we formulate this nonlinear model’s state space representation, making it amenable to infinite-horizon Gaussian process regression with approximate inference via expectation propagation, which scales linearly in the number of time steps and quadratically in the state dimensionality. By doing so, we are able to process audio signals with hundreds of thousands of data points. We demonstrate, on various tasks with empirical data, how this inference scheme outperforms more standard techniques that rely on extended Kalman filtering.