LLukas22/scidocs huggingface dataset:
Assessment of Possible Migration Pressure and its Labour Market Impact Following EU Enlargement to C

In 1998, the European Union opened negotiations with six Central and Eastern European countries seeking membership. These countries consisted of the Czech Republic, Estonia, Hungary, Poland, Slovenia, and Cyprus. Some current members are apprehensive, believing that they will lose from this expansion. This report scrutinizes the grounds for such anxiety. It evaluates the size and the structure of future East-West migration flows based on economic theories and empirical results forthcoming from economic literature. A broader analysis of the East-West migration potential is given in the complementary report by the University College, London. The current report also analyses concerns that cheaper workers from Central and Eastern European EU-candidate countries will flood the current EU and reduce the wages of native workers and/or push them out of their jobs. It is very difficult to estimate the potential migration flow from East to West. Studies attempting to estimate the size of the migration potential have arrived at very different conclusions. Newspapers and politicians have speculated that about 20-40 million East Europeans will emigrate. Estimations based on opinion polls in the sending countries suggest that between 13 and 27 million people are planning to move to the West, whereas more modest predictions expect about 5 million people to migrate to Western Europe. Using different evaluation methods, this report concludes that at least 3% of the eastern population can be expected to migrate to the West within the next 15 years. This would imply an immigration flow of about 3 million people or of about 0.81% of the population of the EU in 1995. Existing surveys in the potential sending countries indicate that the short-term migration potential might be higher. Due to existing migration networks, this inflow will largely be a problem for Germany and Austria. Basically, economic theory does not offer any definitive predictions concerning the labour market impacts of immigration. Whether the native population can expect gains or losses from immigration depends, among other things, on the size and the structure of the immigration flow and the labour market institutions in the receiving countries (i.e. wage flexibility). Most existing empirical studies on the impact of immigrants on the wage and employment of natives find only small negative effects. In some cases the effects are even positive. Based on data for the EU, the UK, and Germany, simulating an economic model of the labour market effects of immigration shows that, in the worst case …
Benzylisoquinoline alkaloid biosynthesis in opium poppy

Opium poppy (Papaver somniferum) is one of the world’s oldest medicinal plants and remains the only commercial source for the narcotic analgesics morphine, codeine and semi-synthetic derivatives such as oxycodone and naltrexone. The plant also produces several other benzylisoquinoline alkaloids with potent pharmacological properties including the vasodilator papaverine, the cough suppressant and potential anticancer drug noscapine and the antimicrobial agent sanguinarine. Opium poppy has served as a model system to investigate the biosynthesis of benzylisoquinoline alkaloids in plants. The application of biochemical and functional genomics has resulted in a recent surge in the discovery of biosynthetic genes involved in the formation of major benzylisoquinoline alkaloids in opium poppy. The availability of extensive biochemical genetic tools and information pertaining to benzylisoquinoline alkaloid metabolism is facilitating the study of a wide range of phenomena including the structural biology of novel catalysts, the genomic organization of biosynthetic genes, the cellular and sub-cellular localization of biosynthetic enzymes and a variety of biotechnological applications. In this review, we highlight recent developments and summarize the frontiers of knowledge regarding the biochemistry, cellular biology and biotechnology of benzylisoquinoline alkaloid biosynthesis in opium poppy.
Strategies for detecting fraudulent claims in the automobile insurance industry

Some property and casualty insurers use automated detection systems to help to decide whether or not to investigate claims suspected of fraud. Claim screening systems benefit from the coded experience of previously investigated claims. The embedded detection models typically consist of scoring devices relating fraud indicators to some measure of suspicion of fraud. In practice these scoring models often focus on minimizing the error rate rather than on the cost of (mis)classification. We show that focusing on cost is a profitable approach. We analyse the effects of taking into account information on damages and audit costs early on in the screening process. We discuss several scenarios using real-life data. The findings suggest that with claim amount information available at screening time detection rules can be accommodated to increase expected profits. Our results show the value of cost-sensitive claim fraud screening and provide guidance on how to render this strategy operational. 2005 Elsevier B.V. All rights reserved.
Characterization of gingerol-related compounds in ginger rhizome (Zingiber officinale Rosc.) by high-performance liquid chromatography/electrospray ionization mass spectrometry.

This study sought to determine the utility of liquid chromatography/electrospray ionization tandem mass spectrometry (LC/ESI-MS/MS) coupled with diode array detection in identifying gingerol-related compounds from crude extracts of ginger rhizome. The fragmentation behaviors of compounds in both (-)- and (+)ESI-MS/MS were used to infer and confirm the chemical structures of several groups of compounds, including the gingerols, methylgingerols, gingerol acetates, shogaols, paradols, gingerdiols, mono- and diacetyl gingerdiols, and dehydrogingerdiones. Diode array detection at different wavelengths was used to confirm MS/MS-based identification. In total, 31 gingerol-related compounds were identified from the methanolic crude extracts of fresh ginger rhizome in this study. Three of these compounds were found to be new compounds. This study demonstrated that LC/ESI-MS/MS is a powerful on-line tool for identification of gingerol-related compounds, especially for thermally labile compounds that cannot be readily detected by GC/MS analysis.
Face Recognition Using Neural Network

3 Chapter 1 Introduction 1.1 Background: Identification is an action of recognizing or being recognized, in particular, identification of a thing or person from previous exposures or information. Identification these days is quite necessary as for security purposes. It can be done using biometric parameters such as finger prints, I.D scan, face recognition etc. Most probably the first well known example of a facial recognition system is because of Kohonen, who signified that an uncomplicated neural network could execute face recognition for aligned and normalized face images. The sort of network he recruited was by computing a face illustration by estimating the eigenvectors of the face image's autocorrelation pattern; these eigenvectors are currently called as`Eigen faces. But Kohonen's approach was not a real time triumph due to the need for accurate alignment and normalization. In successive years a great number of researchers attempted facial recognition systems based on edges, inter-feature spaces, and various neural network techniques. While many were victorious using small scale databases of aligned samples, but no one significantly directed the alternative practical problem of vast databases where the position and scale of the face was not known. An image is supposed to be outcome of two real variables, defined in the " real world " , for example, a(x, y) where 'a' is the amplitude in terms of brightness of the image at the real coordinate position (x, y). It is now practicable to operate multi-dimensional signals with systems that vary from simple digital circuits to complicated circuits, due to modern technology.  Image Analysis (input image->computation out)  Image Understanding (input image-> high-level interpretation out) 4 In this age of science and technology, images also attain wider opportunity due to the rapidly increasing significance of scientific visualization, for example microarray data in genetic research. To process the image firstly it is transformed into a digital form. Digitization comprises of sampling of image and quantization of sampled values. After transformed into a digital form, processing is performed. It introduces focal attention on image, or improvement of image features such as boundaries, or variation that make a graphic display more effective for representation & study. This technique does not enlarge the intrinsic information content in data. This technique is used to remove the unwanted observed image to reduce the effect of mortifications. Scope and precision of the knowledge of mortifications process and filter design are the basis of …
Mechanical and bio-corrosion properties of quaternary Mg–Ca–Mn–Zn alloys compared with binary Mg–Ca alloys

Binary Mg–xCa alloys and the quaternary Mg–Ca–Mn–xZn were studied to investigate their bio-corrosion and mechanical properties. The surface morphology of specimens was characterized by X-ray diffraction (XRD), Fourier-transformed infrared spectroscopy (FTIR), scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDS). The results of mechanical properties show that the yield strength (YS), ultimate tensile strength (UTS) and elongation of quaternary alloy increased significantly with the addition of zinc (Zn) up to 4 wt.%. However, further addition of Zn content beyond 4 wt.% did not improve yield strength and ultimate tensile strength. In contrast, increasing calcium (Ca) content has a deleterious effect on binary Mg–Ca alloys. Compression tests of the magnesium (Mg) alloys revealed that the compression strength of quaternary alloy was higher than that of binary alloy. However, binary Mg–Ca alloy showed higher reduction in compression strength after immersion in simulated body fluid. The bio-corrosion behaviour of the binary and quaternary Mg alloys were investigated using immersion tests and electrochemical tests. Electrochemical tests shows that the corrosion potential (Ecorr) of binary Mg–2Ca significantly shifted toward nobeler direction from 1996.8 to 1616.6 mVSCE with the addition of 0.5 wt.% manganese (Mn) and 2 wt.% Zn content. However, further addition of Zn to 7 wt.% into quaternary alloy has the reverse effect. Immersion tests show that the quaternary alloy accompanied by two secondary phases presented higher corrosion resistance compared to binary alloys with single secondary phase. The degradation behaviour demonstrates that Mg–2Ca–0.5Mn–2Zn alloy had the lowest degradation rate among quaternary alloys. In contrast, the binary Mg–2Ca alloy demonstrated higher corrosion rates, with Mg–4Ca alloy having the highest rating. Our analysis showed the Mg–2Ca–0.5Mn–2Zn alloy with suitable mechanical properties and excellent corrosion resistance can be used as biodegradable implants. 2013 Elsevier Ltd. All rights reserved.
Testing Database-Centric Applications for Causes of Database Deadlocks

Many organizations deploy applications that use databases by sending Structured Query Language (SQL) statements to them and obtaining data that result from executions of these statements. Since applications often share the same databases concurrently, database deadlocks routinely occur in these databases. Testing applications to determine how they cause database deadlocks is important as part of ensuring correctness, reliability, and performance of these applications. Unfortunately, it is very difficult to reproduce database deadlocks, since it involves different factors such as the precise interleavings in executing SQL statements. We created a novel approach for Systematic TEsting in Presence of DAtabase Deadlocks (STEPDAD) that enables testers to instantiate database deadlocks in applications with a high level of automation and frequency. We implemented STEPDAD and experimented with three applications. On average, STEPDAD detected a number of database deadlocks exceeding the deadlocks obtained with the baseline approach by more than an order of magnitude. In some cases, STEPDAD reproduced a database deadlock after running an application only twice, while no database deadlocks could be obtained after ten runs using the baseline approach.
STUDENTS' FEELINGS OF AND DESIRE FOR SENSE OF COMMUNITY IN FACE-TO-FACE AND ONLINE COURSES

In this study, face-to-face (FTF) and online students’ (N = 198) feelings of and desire for sense of community (SOC) in their courses were compared. In support of previous research, FTF students felt more SOC than online students. However, overall, relatively few students (FTF or online) expressed desire for SOC. Additionally, regression analyses revealed that different sets of student characteristics predict FTF and online students’ connectedness and desire for more SOC. Results are discussed with regard to the recommendation that SOC should be fostered in FTF and online classrooms, and future directions for research are presented.
The Organizational Interface: A Method for Supporting End Users of Packaged Software

The growth of end-user computing and the trend toward the use of packaged software have focused greater attention on issues related to user support. A varied user population is requiring more tailored support, yet vendor-supplied software with a generic interface is increasingly being used. Four case studies illustrate ways in which organizational forms of support can enhance or overcome the limitations of the software interface. A framework called the organizational interface incorporates these erganizational mechanisms by integrating the computer-human interaction (CHI), management information systems (MIS), and end-user computing (EUC) proaches to user support. This framework can be used in the design of end-user systems developed with packaged software and for retrofitting outdated user interfaces for an end-user computing environment. The organizational interface provides IS and end-user managers with a means to consider alternative methods of providing support for systems based on purchased software with fixed user interfaces.
Manual mobilization of the wrist: a pilot study in rehabilitation of patients with a chronic hemiplegic hand post-stroke.

STUDY DESIGN
Prospective pilot cohort study, quasi-experimental design.


INTRODUCTION
Restricted hand mobility, limitation in activities and participation, due to relative immobilization of the hemiplegic hand are frequently reported after stroke.


PURPOSE OF THE STUDY
To establish whether manual mobilization of the wrist has an additional value in the treatment of the hemiplegic hand.


METHODS
Eighteen patients received treatment twice a week for a period of 6 weeks. Both treatment groups received therapy based upon the Dutch guidelines for stroke. In the intervention group, a 10-min manual mobilization of the wrist was integrated. The primary outcomes were active and passive wrist mobility and activity limitation. The secondary outcomes were spasticity, grip strength, and pain. Data were collected at 0, 6 and 10 weeks. Statistical analysis was performed using the Friedman's test, related t-test, Wilcoxon test, independent t-test, and Mann-Whitney U-test.


RESULTS
Statistically significant differences were found in the intervention group; between T0 and T2 measurements in active wrist extension (+18°; p < 0.001), in passive wrist extension (+15°; p < 0.001), and in the Frenchay Arm Test (+2 points, 18%; p = 0.038). This significant improvement was not found in the control group. Statistically significant differences were found between the two groups in active and passive wrist extension (p < 0.001; p = 0.002), as well as a change in Frenchay Arm Test (p = 0.01).


CONCLUSION
This study suggests that manual mobilization of the wrist has a positive influence on the recovery of the hemiplegic hand. Replication of the results is needed in a large scale randomized controlled trial.


LEVEL OF EVIDENCE
4.
A Comparative Study of PI , IP , Fuzzy and Neuro-Fuzzy Controllers for Speed Control of DC Motor Drive

This paper presents a comparative study of various controllers for the speed control of DC motor. The most commonly used controller for the speed control of dc motor is ProportionalIntegral (P-I) controller. However, the P-I controller has some disadvantages such as: the high starting overshoot, sensitivity to controller gains and sluggish response due to sudden disturbance. So, the relatively new Integral-Proportional (I-P) controller is proposed to overcome the disadvantages of the P-I controller. Further, two Fuzzy logic based controllers namely; Fuzzy control and Neuro-fuzzy control are proposed and the performance these controllers are compared with both P-I and I-P controllers. Simulation results are presented and analyzed for all the controllers. It is observed that fuzzy logic based controllers give better responses than the traditional P-I as well as I-P controller for the speed control of dc motor drives. Keywords—Proportional-Integral (P-I) controller, IntegralProportional (I-P) controller, Fuzzy logic control, Neuro-fuzzy control, Speed control, DC Motor drive.
Corticosteroid injections for greater trochanteric pain syndrome: a randomized controlled trial in primary care.

PURPOSE
We undertook a study to evaluate the effectiveness of corticosteroid injections in primary care patients with greater trochanteric pain syndrome (GTPS).


METHODS
We evaluated the effect of corticosteroid injections compared with expectant treatment (usual care) in a pragmatic, multicenter, open-label, randomized clinical trial in the Netherlands. Patients (aged 18 to 80 years) with GTPS visiting 81 participating primary care physicians were randomly allocated to receive either local corticosteroid injections (n = 60) or usual care (n = 60). Primary outcomes of pain severity (numerical rating scale 0 to 10) and recovery (yes or no total or major recovery) were evaluated at 3-month and 12-month follow-up visits. Adverse events were collected at 6 weeks.


RESULTS
At the 3-month follow-up visit, 34% of the patients in the usual care group had recovered compared with 55% in the injection group (adjusted OR = 2.38; 95% CI, 1.14-5.00, number needed to treat = 5). Pain severity at rest and on activity decreased in both groups, but the decrease was greater in the injection group, for an adjusted difference in pain at rest of 1.18 (95% CI, 0.31-2.05) and in pain with activity of 1.30 (95% CI, 0.32-2.29). At the 12-month follow-up, 60% of the patients in the usual care group had recovered compared with 61% in the injection group (OR = 1.05; 95% CI, 0.50-2.27). Pain severity at rest and on activity decreased in both groups and the 12-month follow-up showed no significant differences, with adjusted differences of 0.14 (95% CI, -0.75 to 1.04) for pain at rest and 0.45 (95% CI, -0.55 to 1.46) for pain with activity. Aside from a short period with superficial pain at the site of the injection, no differences in adverse events were found.


CONCLUSION
In this first randomized controlled trial assessing the effectiveness of corticosteroid injections vs usual care in GTPS, a clinically relevant effect was shown at a 3-month follow-up visit for recovery and for pain at rest and with activity. At a 12-month follow-up visit, the differences in outcome were no longer present.
BRCA1 and BARD1 mediate apoptotic resistance but not longevity upon mitochondrial stress in Caenorhabditis elegans.

Interventions that promote healthy aging are typically associated with increased stress resistance. Paradoxically, reducing the activity of core biological processes such as mitochondrial or insulin metabolism promotes the expression of adaptive responses, which in turn increase animal longevity and resistance to stress. In this study, we investigated the relation between the extended Caenorhabditis elegans lifespan elicited by reduction in mitochondrial functionality and resistance to genotoxic stress. We find that reducing mitochondrial activity during development confers germline resistance to DNA damage-induced cell cycle arrest and apoptosis in a cell-non-autonomous manner. We identified the C. elegans homologs of the BRCA1/BARD1 tumor suppressor genes, brc-1/brd-1, as mediators of the anti-apoptotic effect but dispensable for lifespan extension upon mitochondrial stress. Unexpectedly, while reduced mitochondrial activity only in the soma was not sufficient to promote longevity, its reduction only in the germline or in germline-less strains still prolonged lifespan. Thus, in animals with partial reduction in mitochondrial functionality, the mechanisms activated during development to safeguard the germline against genotoxic stress are uncoupled from those required for somatic robustness and animal longevity.
Neural Network-based Question Answering over Knowledge Graphs on Word and Character Level

Question Answering (QA) systems over Knowledge Graphs (KG) automatically answer natural language questions using facts contained in a knowledge graph. Simple questions, which can be answered by the extraction of a single fact, constitute a large part of questions asked on the web but still pose challenges to QA systems, especially when asked against a large knowledge resource. Existing QA systems usually rely on various components each specialised in solving different sub-tasks of the problem (such as segmentation, entity recognition, disambiguation, and relation classification etc.). In this work, we follow a quite different approach: We train a neural network for answering simple questions in an end-to-end manner, leaving all decisions to the model. It learns to rank subject-predicate pairs to enable the retrieval of relevant facts given a question. The network contains a nested word/character-level question encoder which allows to handle out-of-vocabulary and rare word problems while still being able to exploit word-level semantics. Our approach achieves results competitive with state-of-the-art end-to-end approaches that rely on an attention mechanism.
Conformal antennas based on holographic artificial impedance surfaces

Advances in artificial impedance surface conformal antennas are presented. A detailed conical impedance modulation is proposed for the first time. By coating an artificial impedance surface on a cone, we can control the conical surface wave radiating at the desired direction. The surface impedance is constructed by printing a dense texture of sub wavelength metal patches on a grounded dielectric slab. The effective surface impedance depends on the size of the patches, and can be varied as a function of position. The final devices are conical conformal antennas with simple layout and feeding. Simulated results are presented, and better aperture efficiency and lower side lobe level are obtained than our predecessors [2].