Miracle-dz/UniFAR-FTUs huggingface dataset:
University of Groningen Motor learning outcomes of handrim wheelchair propulsion during active spinal cord injury rehabilitation in comparison with experienced wheelchair users Leving,

Purpose: To investigate changes in wheelchair propulsion technique and mechanical efficiency across first five weeks of active inpatient spinal cord injury rehabilitation and to compare the outcomes at discharge with experienced wheelchair users with spinal cord injury. Methods: Eight individuals with recent spinal cord injury performed six weekly submaximal exercise tests. The first and last measurement additionally contained a wheelchair circuit and peak graded exercise test. Fifteen experienced individuals performed all above-mentioned tests on one occasion. Results: Mechanical efficiency and propulsion technique did not change during the five weeks of inpatient rehabilitation. Peak power output during peak graded test and performance time on the wheelchair circuit improved between the first and the last week. No difference in propulsion technique, peak power output, and performance time was found between the persons with a recent injury and the experienced group. Mechanical efficiency was higher after the correction for the difference in relative power output in the experienced group. Conclusion: The group with a recent injury did not improve mechanical efficiency and propulsion technique over the period of active rehabilitation, despite significant improvements on the wheelchair circuit and in work capacity. The only significant difference between the groups was found in mechanical efficiency. IMPLICATIONS FOR REHABILITATION The lack of time-dependent changes in mechanical efficiency and propulsion technique in the group with a recent spinal cord injury, combined with the lack of differences in technique, work capacity and on the wheelchair circuit between the groups, suggest that important adaptations of motor learning may happen even earlier in rehabilitation and emphasize that the group in active rehabilitation was relatively skilled. Standardized observational analyses of handrim wheelchair propulsion abilities during early spinal cord injury rehabilitation provide detailed understanding of wheelchair technique, skill as well as wheelchair propulsion capacity. Measurement of external power output is critical to interpretation of gross efficiency, propulsion technique, and capacity. Wheelchair quality and body weight – next to wheelchair fitness and skill – require careful consideration both in early rehabilitation as well as in the chronic phase of spinal cord injury. ARTICLE HISTORY Received 7 December 2018 Revised 24 July 2019 Accepted 12 September 2019
Generation and Characterization of Human Osteoarthritis Cartilage-derived Mesenchymal Stem Cells by Modified Sample Processing and Culture Method

Introduction: Mesenchymal stem cells (MSCs) can be isolated from different tissue sources, and show a high differentiation capacity towards osteogenic, adipogenic, chondrogenic, neurogenic and myogenic lineages upon a specific induction. Although the retrieval of MSCs from normal tissues is very straightforward, yet it could be challenging in degenerative conditions that limit the expansion of stem cells such as osteoarthritis. Thus, this study aimed to establish human MSCs culture from osteoarthritic cartilage (OA hC-MSCs) by optimising the sample processing and culture techniques. Methods: Human osteoarthritis knee cartilage samples were obtained (2-4 g) from 8 patients with a mean age of 62.75 years old during the joint replacement surgery. A conventional culture method carried along with the modified method where the period of enzyme digestion and serial plating culture procedure were incorporated. Results: The modified culture method has significantly increased the number of single cells twice after the sample processing. The time taken to form colonies and achieve confluence was also reduced when samples subjected to the modified method. The number of cell yields after passage 0 for the conventional and modified methods were 3.05±0.31 and 6.10±0.42 million cells, respectively. The adherent cells generated under these two conditions comply with criteria for MSCs in term of immunophenotyping and mesodermal differentiation. Conclusions: The current modified method enhances the production of MSCs and could be opted for samples that known to have reduced or defective stem cell pool which may impede the in vitro cell expansion.
Role of Private Capital Inflows in Financial Inclusion in Uganda

This paper provides an empirical analysis of the role of private capital inflows in financial inclusion in Uganda. Financial inclusion was measured using three dimensions (access, usage and quality). Whereas private capital inflows where measured using two proxies of foreign direct investment and remittances. The study anchored on financial intermediation theory with its three associated theories. The target population was private organisations that have received private capital in Uganda. The study used data which were collected from Bank of Uganda and Ugandan investment Authority, Ministry of Finance for the period 2012-2016. A cross sectional descriptive designs were used while data was analyzed using descriptive statistics and multivariate Logistics regression analysis. It was found that private capital inflows did not play any significant role in promoting financial inclusion in Uganda. The study recommends that government particularly Bank of Uganda, Ministry of Finance and Uganda Investment Authority to formulate policies which will attract more investors to Uganda hence boosting FDI. For worker remittances to be deepen and widened, the Ministry of Finance and Uganda Revenue Authority should remove costs associated with receipt of remittances in-country. This way an all-inclusive and stable financial sector in Uganda is ensured.
Calibration and performance studies of the readout ASIC for the LHCb SciFi Tracker

The LHCb experiment will perform a major upgrade of the detector during the LHC’s Long Shutdown 2 from 2019 to 2020. The upgrade will enable the detector to operate at an increased instantaneous luminosity and to record data at the LHC bunch crossing rate of 40 MHz. The new operating conditions require the replacement of the complete tracking system. The tracking stations downstream of the magnet will be replaced by the SciFi Tracker, a large, high granular scintillating fibre tracker, readout by arrays of silicon photomultipliers (SiPMs). The signals are processed by a custom 64-channel ASIC called PACIFIC. Each channel implements an analogue processing chain and three comparators with adjustable thresholds for digitisation. The comparator thresholds need to be calibrated with respect to the connected SiPM channel to ensure a high performance of the detector. A calibration method, based on an analytical description of the SiPM pulse height spectrum, has been investigated and several factors that impair the calibration have been identified. The performance of a full detector slice of the SciFi Tracker regarding the hit efficiency, hit resolution, and spillover has been studied on data obtained during a test beam campaign at the CERN SPS in July 2018. Kurzfassung Das LHCb Experiment führt während des LHC Long Shutdown 2 in den Jahren 2019 bis 2020 ein umfassendes Upgrade des Detektors aus. Der Detektor wird dadurch in der Lage sein bei einer erhöhten Luminosität und mit einer Rate von 40 MHz, entsprechend der Kollisionsrate am LHC, Daten zu nehmen. Um unter den neuen Bedingungen weiterhin präzise Ergebnisse zu liefern, werden sämtliche Spurkammern ersetzt. Die Hauptspurkammern hinter dem Magneten werden durch den SciFi Tracker ersetzt, dessen Hauptkomponenten szintillierende Fasern und Silizium-Photomultiplier (SiPMs) sind. Die Signale werden vom PACIFIC Chip weiterverarbeitet und mit hilfe von drei Komparatoren digitalisiert. Die Schwellen der Komparatoren müssen in Bezug auf den angschlossenen SiPM Kanal kalibriert werden. Hierzu wurde eine Methode basierend auf einer analytischen Beschreibung des SiPM Pulshöhenspektrums untersucht und mehrere Faktoren identifiziert, welche die Kalibrierung beeinträchtigen. Im Weiteren wurden die Detektionseffizienz, Ortsauflösung, sowie Spillover-Effekte des vollständigen Detektosystems anhand von Daten, welche während einer Testkampagne am CERN SPS im Juli 2018 genommen wurden, vermessen.
UvA-DARE (Digital Academic Repository) Codemaps Segment, Classify and Search Objects Locally

In this paper we aim for segmentation and classiﬁcation of objects. We propose codemaps that are a joint formu-lation of the classiﬁcation score and the local neighborhood it belongs to in the image. We obtain the codemap by reordering the encoding, pooling and classiﬁcation steps over lattice elements. Other than existing linear decompositions who emphasize only the efﬁciency beneﬁts for localized search, we make three novel contributions. As a preliminary, we provide a theoretical generalization of the sufﬁcient mathematical conditions under which image encodings and classiﬁcation becomes locally decomposable. As ﬁrst novelty we introduce ℓ 2 normalization for arbitrarily shaped image regions, which is fast enough for semantic segmentation using our Fisher codemaps. Second, using the same lattice across images, we propose kernel pooling which embeds nonlinearities into codemaps for object classiﬁcation by explicit or approximate feature mappings. Results demonstrate that ℓ 2 normalized Fisher codemaps improve the state-of-the-art in semantic segmentation for PASCAL VOC. For object classiﬁcation the addition of nonlinearities brings us on par with the state-of-the-art, but is 3x faster. Because of the codemaps’ inherent efﬁciency, we can reach signiﬁcant speed-ups for localized search as well. We exploit the efﬁciency gain for our third novelty: object segment retrieval using a single query image only.
SMALL SAMPLE POWER OF BARTLETT CORRECTED LIKELIHOOD RATIO TEST OF COINTEGRATION RANK

It is well-documented phenomenon that the asymptotic distribution of the likelihood ratio test of cointegration rank is different from the small sample distribution. In the aftermath, size and power of the test are substantially distorted and the null hypothesis is rejected too often when it is true. One of the standard solutions of such problem is a correction of test statistic, so that the small sample distributions and its cumulants were closer to the asymptotic counterparts. The Bartlett correction for the trace test derived by Johansen for the multivariate case constitutes a convenient tool for plausible inference on cointegration rank. However, the decline of empirical size of the test entails the obvious decrease of power. The paper investigates the power of the Bartlett corrected trace test with reference to the power of the usually applied uncorrected one and tries to answer for which hypotheses, sample sizes and parameter’s spaces it is satisfactory.
Research on Intelligent Management Unified Service Platform of “Internet Plus Agriculture”

Unified intelligent management service platform based on "Internet plus", all kinds of data and status of crop growth are automatically collected by IOT. On the infrastructure platform and software platform provided by cloud computing technology, the obtained crop growth environment data are analyzed and processed by means of Hadoop ecosystem built by big data. The characteristics and patterns of ML and DL are respectively analyzed and matched according to the data of the crops collected by AI technology. After the unified summary of the results, it will be automatically pushed to the corresponding processing department, and the final processing information will be returned to the farmers serving as professional guidance. This platform is a dynamic and circular intelligent unified management system, which can realize the cross-border integration of information technology and agriculture required by "Internet plus agriculture".
Therapeutic protein production in yeast is a reality in industry with an untapped potential to expand

1 Therapeutic protein production in yeast is a reality in industry with an untapped potential to expand 2 to more complex proteins, such as full-length antibodies. Despite multiple numerous engineering 3 approaches, cellular limitations are preventing the use of Saccharomyces cerevisiae as the titers of 4 recombinant antibodies are currently not competitive. Instead of a host specific approach, we 5 demonstrate the possibility of adopting the features from native producers of antibodies, plasma 6 cells, to improve antibody production in yeast. We selected a subset of mammalian folding factors 7 upregulated in plasma cells for expression in yeast and screened for beneficial effects on antibody 8 secretion using a high-throughput ELISA platform. Co-expression of the mammalian chaperone 9 BiP, the co-chaperone GRP170, or the peptidyl-prolyl isomerase FKBP2, with the antibody 10 improved specific product yields up to two-fold. By comparing strains expressing FKBP2 or the 11 yeast PPIase Cpr5p, we demonstrate that speeding up peptidyl-prolyl isomerization by
Distributed Generative Adversarial Net

Recently the Generative Adversarial Network has become a hot topic. Considering the application of GAN in multi-user environment, we propose Distributed-GAN. It enables multiple users to train with their own data locally and generates more diverse samples. Users don't need to share data with each other to avoid the leakage of privacy. In recent years, commercial companies have launched cloud platforms based on artificial intelligence to provide model for users who lack computing power. We hope our work can inspire these companies to provide more powerful AI services.
Characterization of Diffuse Groundwater Inflows into Streamwater (Part I: Spatial and Temporal Mapping Framework Based on Fiber Optic Distributed Temperature Sensing)

Although fiber optic distributed temperature sensing (FO-DTS) has been used in hydrology for the past 10 years to characterize groundwater–streamwater exchanges, it has not been widely applied since the entire annual hydrological cycle has rarely been considered. Properly distinguishing between diffuse and intermittent groundwater inflows requires longer periods (e.g., a few months, 1 year) since punctual changes can be lost over shorter periods. In this study, we collected a large amount of data over a one-year period using a 614 m long cable placed in a stream. We used a framework based on a set of hypotheses approach using thermal contrast between stream temperature and the atmosphere. For each subreach, thermal contrast was normalized using reference points assumed to lie outside of groundwater influence. The concepts and relations developed in this study provide a useful and simple methodology to analyze a large database of stream temperature at high spatial and temporal resolution over a one-year period using FO-DTS. Thus, the study highlighted the importance of streambed topography, since riffles and perched reaches had many fewer inflows than pools. Additionally, the spatial extent of groundwater inflows increased at some locations during high flow. The results were compared to the usual standard deviation of stream temperature calculated over an entire year. The two methods located the same inflows but differed in the mapping of their spatial extent. The temperatures obtained from FO-DTS open perspectives to understand spatial and temporal changes in interactions between groundwater and surface water.
Accounting for spatial variation of land prices in hedonic imputation house price indexes

Location is capitalized into the price of the land the structure of a property is built on, and land prices can be expected to vary significantly across space. We account for spatial variation of land prices in hedonic house price models using geospatial data and a semi-parametric method known as mixed geographically weighted regression. To measure the impact on aggregate price change, quality-adjusted (hedonic imputation) house price indexes are constructed for a small city in the Netherlands and compared to price indexes based on more restrictive models, using postcode dummy variables or no location information at all. We find that, although taking spatial variation of land prices into account improves the model performance, the Fisher house price indexes based on the different hedonic models are almost identical. The land and structures price indexes, on the other hand, are sensitive to the treatment of location.
Low-Scale String Resonances at the Large Hadron Collider

If the large extra dimensions scenario [1, 2] is correct, the string scale Ms of string theory can be of the order of a few TeV; a theory known as low-scale string theory. In the D-brane [3, 4] formulation of low-scale string theory, string resonances (Regge excitations) can be produced in proton-proton collisions through 2-parton scatterings, and furthermore, in the limit Ms → ∞ these scattering amplitudes match the tree-level scattering amplitudes derived in QCD. Using the cross-sections and decay widths of the string resonances, we write a Monte Carlo event generator, STRINGS-1.00, for the production and decay of the first and second string resonances, such that colour, quark flavour, baryon number, electric charge and total angular momentum are conserved. STRINGS is also capable of generating QCD tree-level scatterings in proton-proton collisions. We study the discovery potential of the first string resonance at the LHC (luminosity = 140 fb−1) and the upcoming HL-LHC run (luminosity = 3000 fb−1) with a centre-of-mass energy of √ s = 13 TeV. This is done by using STRINGS to generate events for different string scales and studying the significance of the signals over the background in the dijet invariant mass distribution. For luminosities of 140 fb−1 and 3000 fb−1, we find the maximum detectable string scales to be 8.4 TeV and 9.1 TeV, respectively. We also use results from an ATLAS paper [5] to set upper limits on the cross-section and lower limits on string scale of the first string resonance. We find with 95% confidence level that string resonances with string scales lower than 7.4 TeV do not exist in ATLAS results with an integrated luminosity of 37 fb−1.
WP3- NA3: In-situ chemical, physical and optical properties of aerosols Deliverable D3.19: Implementation of organic tracer measurements at European sites

As noted already in D3.14 (M24, “Standardization of sampling and analysis of specific organic tracers”) and in the report for the MTR evaluation, it is not likely that this can actually be achieved in full within the ACTRIS time frame. Considerable progress has nevertheless been made towards this goal. Here, we summarize the achievements made until M36, discuss the obstacles that need to be overcome, as well as possible ways forward.
Special Interest Groups and Economic Growth Nexus: The OECD Example

This study aims to revisit the approach which claims special interest groups (SIGs) has a negative impact on economic growth in the long run. In this study, the long run relationship between economic growth and SIGs is examined by panel data techniques for OECD countries during 1990-2011. According to empirical findings, the long run relationship is found between economic growth and the SIGs for OECD sample. In addition, the long run elasticity results of OECD panel states that SIGs have a disruptive impact on economic growth. On the other hand, the long run elasticity results of individual countries indicate that an U-shaped relationship between economic growth and SIGs exists in 28% of the sample.
Inventories and International Trade Volatility: The Role of Export and Import Wholesalers

The paper develops a simple theoretical model to examine the role of exportand import-wholesalers in allocating inventories across countries and over time. Selling internationally through exportand import-wholesalers is shown to be beneficial when demand volatility is high as wholesalers smooth trade and lower inventory levels with respect to direct manufacturing exports. When trade becomes lumpy, we show that the incentives to use intermediaries in general and export-wholesalers in particular are lessened. In addition, depending on product characteristics and trade lumpiness, the use of wholesalers within a distribution supply chain may raise or lower the volume of international trade and social welfare in the destination market. JEL classification: F12, F23, L22
5th NordicRAS Workshop on Recirculating Aquaculture Systems

s of oral presentations 12 Miami Bluehouse, Homestead: current status and future plans 13 T. Holm RAS in Norway, Scotland and Canada: challenges, experiences and future plans 14 T. Rosten Fredrikstad and Belfast: current activities and plans for RAS farming 15 S. Dunn RAS in China 16 Z. Huang and Y. Liu Feed for advanced aquaculture technology 17 K.M. Zatti and K.S. Ekmann et al. Development of feeds for recirculating aquaculture systems 18 I. Stubhaug et al. Feed designed for RAS 19 R. Tillner et al. A re-evaluation of issues associated with suspended solids in salmonid aquaculture 20 M. Schumann and A. Brinker Particle removal by separators including fluidized lamella packings – An alternative for screen filtration in small-scale RAS? 21 A. Müller-Belecke et al. Protein skimmer and ozone in RAS: valuable tools for clear water production 22 J. Orellana et al. Combining UV and micro filtration to manage microbial water quality in recirculating aqua culture systems 23 K. de Jesus Gregersen et al. Highly standardised flow cytometry as a flexible tool for realtime monitoring of microbial water quality 24 M.D. Besmer et al.
Scalable graph-based method for individual named entity identification

In this paper, we consider the named entity linking (NEL) problem. We assume a set of queries, named entities, that have to be identified within a knowledge base. This knowledge base is represented by a text database paired with a semantic graph, endowed with a classification of entities (ontology). We present state-of-the-art methods in NEL, and propose a new method for individual identification requiring few annotated data samples. We demonstrate its scalability and performance over standard datasets, for several ontology configurations. Our approach is well-motivated for integration in real systems. Indeed, recent deep learning methods, despite their capacity to improve experimental precision, require lots of parameter tuning along with large volume of annotated data.
RELATIONSHIP BETWEEN PERSON-ENVIRONMENT FIT AND JOB ENGAGEMENT IN NURSES OF AHVAZ HOSPITALS

The purpose of this article is to investigate the relationship between personenvironment and job engagement. Participants consist of 270 nurses from hospitals in Ahvaz selected via the stratified sampling method. The results showed that there is a positive relationship between person-job, personorganizational, person-vocational, person-supervisor and persongroup fit with job engagement. In addition, the results indicated that person-vacation fit and person-job fit had the most roles in prediction of job engagement.