Miracle-dz/UniFAR-FTUs huggingface dataset:
A modified reverse voltage inverter topology with inverted sine wave carrier PWM technique

In this paper, a single phase modified reverse voltage inverter topology is presented. It can operate both in symmetrical and asymmetrical configurations. It consists of one upper sub-module (USM), one lower sub-module (LSM), and in between these two, half-bridge cells (HBCs) are cascaded to form level generation block (LGB) for unipolar voltage levels generation. An H-bridge is used as a reverse voltage block (RVB) to convert into bipolar voltage levels including zero level. The level of voltage can be increased by increasing the number of HBCs in LGB. The Inverted sine carrier pulse width modulation (ISCPWM) technique is used to generate the gate pulses required for the power switches. The various comparative analyses are provided with other single phase topologies. The proposed topology results in the reduction of number of power switches with higher voltage levels and improved power quality. Experimental results are provided to validate the circuit operation.
A Collaborative Filtering Recommendation Algorithm for Social Interaction

When the traditional collaborative filtering algorithm faces high sparse data, its precision and quality of recommendation become unsatisfied. With the development of social networks, it is possible to selectively fill the missing value in the user-item matrix by using the friendship or trust relationship information of social networks. According to the memory-based collaborative filtering algorithm, in the paper, the two steps which are similarity calculation and user rating prediction are taken into account. Besides, this paper has filled appropriately the missing value and improved memory-based collaborative filtering recommendation algorithms to integrate the social relations. The experiment on the Epinions dataset shows that the improved algorithm can effectively alleviate the sparsity problem of user rating data and perform better than other classic algorithms in RMSE and MAP evaluation metrics.
Tackling Demand Stochasticity by Redistribution among Retailers in a Two-stage Distribution System

This paper considers a two-stage distribution system consisting of a supplier supplying several retailers with stochastic demand rates. Replenishments by the supplier happen cyclically, based on average retailer demand rates. Hence, the considered distribution problem between the suppliers and its retailers is a Cyclic Inventory Routing Problem (CIRP), which we solve with a state-of-the-art heuristic solution method. To cope with the demand stochasticity, lateral transshipments can happen between retailers in each time period. We propose a redistribution policy that determines the quantities being redistributed through lateral transshipments based on the desired level of customer service the retailers want to reach (using the desired fill rate) and their actual inventory levels. The cost of the daily redistribution is determined by solving a Travelling Salesman Problem (TSP) covering the participating retailers. The potential benefits of the collaboration among retailers are analyzed by comparing the distribution costs, the redistribution costs, the inventory holding costs and the costs of lost sales at the retailers in different scenarios.
Construction and Analysis of Gene Co-Expression Networks in Escherichia coli

Network-based systems biology has become an important method for analyzing high-throughput gene expression data and gene function mining. Escherichia coli (E. coli) has long been a popular model organism for basic biological research. In this paper, weighted gene co-expression network analysis (WGCNA) algorithm was applied to construct gene co-expression networks in E. coli. Thirty-one gene co-expression modules were detected from 1391 microarrays of E. coli data. Further characterization of these modules with the database for annotation, visualization, and integrated discovery (DAVID) tool showed that these modules are associated with several kinds of biological processes, such as carbohydrate catabolism, fatty acid metabolism, amino acid metabolism, transportation, translation, and ncRNA metabolism. Hub genes were also screened by intra-modular connectivity. Genes with unknown functions were annotated by guilt-by-association. Comparison with a previous prediction tool, EcoliNet, suggests that our dataset can expand gene predictions. In summary, 31 functional modules were identified in E. coli, 24 of which were functionally annotated. The analysis provides a resource for future gene discovery.
Overexpression of piRNA Pathway Genes in Epithelial Ovarian Cancer

The importance of the Piwi-interacting RNA (piRNA) pathway for germ cell maintenance, genome integrity, DNA methylation and retrotransposon control raises possible roles of this pathway in cancer. Indeed aberrant expression of human PIWI orthologs and Maelstrom has been observed in various cancers. In this study we explored the expression and function of piRNA pathway genes in human ovarian cancer, based on our recent work, which showed widespread expression of piRNA pathway genes in the mammalian. Our work shows that PIWIL1 and MAEL expression is significantly increased in malignant EOC (n = 25) compared to benign tumor tissues (n = 19) and normal ovarian tissue (n = 8). The expression of PIWIL3 is lower in malignant and benign tissues when compared to normal ovary. Sequencing of PIWIL1 transcript revealed that in many tumors deletion of exon 17 leads to the introduction of a premature stop codon in the PIWI domain, likely due to a splicing error. In situ hybridization on tumor sections revealed that L1, PIWIL1, 2 and MAEL are specifically expressed in epithelial cells (cancerous cells) of EOC. Furthermore, PIWIL2 and MAEL are co-expressed in the stromal cells adjacent to tumor cells. Since PIWIL1 and MAEL are up regulated in malignant EOC and expressed in the epithelial cells, we investigated if these two genes affect invasiveness of ovarian cancer cell lines that do not normally express these genes. PIWIL1 and MAEL were transiently over expressed in the ovarian cancer cell line SKOV3, followed by real-time measurements of cell invasiveness. Surprisingly both PIWIL1 and MAEL over expression decreased the invasiveness of SKOV3 cells. Our findings support a growing body of evidence that shows that genes in this pathway are upregulated in cancer. In ovarian cancer we show for the first time that Piwil1 transcript may often be abnormal result in non functional product. In contrast to what has been observed in other cell types, we found that PIWIL1 and MAEL have a repressive effect on cell invasiveness.
Universal Successor Representations for Transfer Reinforcement Learning

The objective of transfer reinforcement learning is to generalize from a set of previous tasks to unseen new tasks. In this work, we focus on the transfer scenario where the dynamics among tasks are the same, but their goals differ. Although general value function (Sutton et al., 2011) has been shown to be useful for knowledge transfer, learning a universal value function can be challenging in practice. To attack this, we propose (1) to use universal successor representations (USR) to represent the transferable knowledge and (2) a USR approximator (USRA) that can be trained by interacting with the environment. Our experiments show that USR can be effectively applied to new tasks, and the agent initialized by the trained USRA can achieve the goal considerably faster than random initialization.
The effectiveness and cost-effectiveness of screening for active tuberculosis among migrants in the EU/EEA: a systematic review

Background : The foreign-born population make up an increasing and large proportion of tuberculosis (TB) cases in European Union/European Economic Area (EU/EEA) low-incidence countries and challenge TB elimination efforts. Methods : We conducted a systematic review to determine effectiveness (yield and performance of chest radiography (CXR) to detect active TB, treatment outcomes and acceptance of screening) and a second systematic review on cost-effectiveness of screening for active TB among migrants living in the EU/EEA. Results : We identified six systematic reviews, one report and three individual studies that addressed our aims. CXR was highly sensitive (98%) but only moderately specific (75%). The yield of detecting active TB with CXR screening among migrants was 350 per 100,000 population overall but ranged widely by host country (110–2,340), migrant type (170–1,192), TB incidence in source country (19–336) and screening setting (220–1,720). The CXR yield was lower (19.6 vs 336/100,000) and the numbers needed to screen were higher (5,076 vs 298) among migrants from source countries with lower TB incidence (≤ 50 compared with ≥ 350/100,000). Cost-effectiveness was highest among migrants originating from high (> 120/100,000) TB incidence countries. The foreign-born had similar or better TB treatment outcomes than those born in the EU/EEA. Acceptance of CXR screening was high (85%) among migrants. Discussion: Screening programmes for active TB are most efficient when targeting migrants from higher TB incidence countries. The limited number of studies identified and the heterogeneous evidence highlight the need for further data to inform screening programmes for migrants in the EU/EEA.
Intra-Node Memory Safe GPU Co-Scheduling

GPUs in High-Performance Computing systems remain under-utilised due to the unavailability of schedulers that can safely schedule multiple applications to share the same GPU. The research reported in this paper is motivated to improve the utilisation of GPUs by proposing a framework, we refer to as schedGPU, to facilitate intra-node GPU co-scheduling such that a GPU can be safely shared among multiple applications by taking memory constraints into account. Two approaches, namely a client-server and a shared memory approach are explored. However, the shared memory approach is more suitable due to lower overheads when compared to the former approach. Four policies are proposed in schedGPU to handle applications that are waiting to access the GPU, two of which account for priorities. The feasibility of schedGPU is validated on three real-world applications. The key observation is that a performance gain is achieved. For single applications, a gain of over 10 times, as measured by GPU utilisation and GPU memory utilisation, is obtained. For workloads comprising multiple applications, a speed-up of up to 5x in the total execution time is noted. Moreover, the average GPU utilisation and average GPU memory utilisation is increased by 5 and 12 times, respectively.
A systematic review of interventions by healthcare professionals to improve management of non-communicable diseases and communicable diseases requiring long-term care in adults who are homeless

Objective Identify, describe and appraise trials of interventions delivered by healthcare professionals to manage non-communicable diseases (NCDs) and communicable diseases that require long-term care or treatment (LT-CDs), excluding mental health and substance use disorders, in homeless adults. Design Systematic review of randomised controlled trials (RCTs), non-RCTs and controlled before–after studies. Interventions characterised using Effective Practice and Organisation of Care (EPOC) taxonomy. Quality assessed using EPOC risk of bias criteria. Data sources Database searches (MEDLINE, Embase, PsycINFO, Scopus, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Applied Social Sciences Index and Abstracts (ASSIA) and Cochrane Central Register of Controlled Trials), hand searching reference lists, citation searches, grey literature and contact with study authors. Setting Community. Participants Adults (≥18 years) fulfilling European Typology of Homelessness criteria. Intervention Delivered by healthcare professionals managing NCD and LT-CDs. Outcomes Primary outcome: unscheduled healthcare utilisation. Secondary outcomes: mortality, biological markers of disease control, adherence to treatment, engagement in care, patient satisfaction, knowledge, self-efficacy, quality of life and cost-effectiveness. Results 11 studies were included (8 RCTs, 2 quasi-experimental and 1 feasibility) involving 9–520 participants (67%–94% male, median age 37–49 years). Ten from USA and one from UK. Studies included various NCDs (n=3); or focused on latent tuberculosis (n=4); HIV (n=2); hepatitis C (n=1) or type 2 diabetes (n=1). All interventions were complex with multiple components. Four described theories underpinning intervention. Three assessed unscheduled healthcare utilisation: none showed consistent reduction in hospitalisation or emergency department attendance. Six assessed adherence to specific treatments, of which four showed improved adherence to latent tuberculosis therapy. Three concerned education case management, all of which improved disease-specific knowledge. No improvements in biological markers of disease (two studies) and none assessed mortality. Conclusions Evidence for management of NCD and LT-CDs in homeless adults is sparse. Educational case-management interventions may improve knowledge and medication adherence. Large trials of theory-based interventions are needed, assessing healthcare utilisation and outcomes as well as assessment of biological outcomes and cost-effectiveness.
Estimation of Step Length and Gait Asymmetry Using Wearable Inertial Sensors

Spatial-asymmetry of gait is important to reflect the different walking abilities between human left side and right side. Most of the studies estimated spatial-asymmetry of gait by the laboratory-based motion capture system. However, a little work has been done by using a wearable inertial measurement unit (IMU), despite these sensors have a smaller size and better portability. In this paper, a simple geometrical method was developed to estimate step length and its asymmetry between two sides with measurements from four IMUs attached on lower limbs. The step length asymmetry was used to estimate the spatial-asymmetry of gait. Overground walking experiments with ten healthy subjects and five subjects with gait impairment (four post stroke and one sciatic nerve injury) under different walking conditions were performed to evaluate the performance of the proposed method. For healthy subjects, the root-mean-square error (RMSE) in step length estimation is 5.4 cm on average and in gait asymmetry estimation is 3.0%. For subjects with gait impairment, the RMSE in step length estimation is 9.6 cm and in gait asymmetry estimation is 14.7%. The algorithm can be easily implemented in real time for potential applications, such as wearable assistive device control or biofeedback gait re-training.
Locating the Source in Real-world Diffusion Network

The problem of identifying the source of a propagation based on limited observations has been studied significantly in recent years, as it can help reducing the damage caused by unwanted infections. In this paper we present an efficient approach to find the node that originally introduced a piece of information into the network, and infer the time when it is initiated. Labeling infected nodes detected in limited observation as observed nodes and other ones as hidden nodes, we first estimate the shortest path between hidden nodes to observed ones for each propagation trace. Then we find the best node as the source among the hidden nodes by optimizing over square loss function. The method presented in this paper is based on more realistic situations and is easy and more practical than previous works. Our experiments on real-world propagation through networks show the superiority of our approach in detecting true source, boosting the top ten accuracy from less than 10% for the sate-of-the-art methods to approximately 30%. Additionally, we observe that our source identification method runs about 10 times faster than previous work.
The therapeutic potential of cannabis and cannabinoids.

BACKGROUND Cannabis-based medications have been a topic of intense study since the endogenous cannabinoid system was discovered two decades ago. In 2011, for the first time, a cannabis extract was approved for clinical use in Germany. METHODS Selective literature review. RESULTS Cannabis-based medications exert their effects mainly through the activation of cannabinoid receptors (CB1 and CB2). More than 100 controlled clinical trials of cannabinoids or whole-plant preparations for various indications have been conducted since 1975. The findings of these trials have led to the approval of cannabis-based medicines (dronabinol, nabilone, and a cannabis extract [THC:CBD=1:1]) in several countries. In Germany, a cannabis extract was approved in 2011 for the treatment of moderate to severe refractory spasticity in multiple sclerosis. It is commonly used off label for the treatment of anorexia, nausea, and neuropathic pain. Patients can also apply for government permission to buy medicinal cannabis flowers for self-treatment under medical supervision. The most common side effects of cannabinoids are tiredness and dizziness (in more than 10% of patients), psychological effects, and dry mouth. Tolerance to these side effects nearly always develops within a short time. Withdrawal symptoms are hardly ever a problem in the therapeutic setting. CONCLUSION There is now clear evidence that cannabinoids are useful for the treatment of various medical conditions.
Plasma immersion ion implantation of boron for ribbon silicon solar cells

In this work, we report for the first time on the solar cell fabrication on n-type silicon RST (for Ribbon on Sacrificial Template) using plasma immersion ion implantation. The experiments were also carried out on FZ silicon as a reference. Boron was implanted at energies from 10 to 15 kV and doses from 1015 to 1016 cm-2 , then activated by a thermal annealing in a conventional furnace at 900 and 950 °C for 30 min. The n+ region acting as a back surface field was achieved by phosphorus spin-coating. The frontside boron emitter was passivated either by applying a 10 nm deposited SiOX plasma-enhanced chemical vapor deposition (PECVD) or with a 10 nm grown thermal oxide. The anti-reflection coating layer formed a 60 nm thick SiNX layer. We show that energies less than 15 kV and doses around 5 × 1015 cm-2 are appropriate to achieve open circuit voltage higher than 590 mV and efficiency around 16.7% on FZ-Si. The photovoltaic performances on ribbon silicon are so far limited by the bulk quality of the material and by the quality of the junction through the presence of silicon carbide precipitates at the surface. Nevertheless, we demonstrate that plasma immersion ion implantation is very promising for solar cell fabrication on ultrathin silicon wafers such as ribbons.
Observational study of influence of aerosol hygroscopic growth on scattering coefficient over rural area near Beijing mega-city

Abstract. We investigated aerosol hygroscopic growth property and its influence on scattering coefficient using M9003 nephelometers in coupling with humidity controlled inlet system at a rural site near Beijing mega-city from 24 April to 15 May 2006. Inlet relative humidity was controlled in an increasing range of 40%–90% while aerosol hygroscopic growth factor of scattering coefficient, f(RH=80%) as ratio of scattering coefficient at RH=80% to "dry" scattering coefficient (RH
Maintenance scheduling of flood control plant under uncertainty based on multi-objective optimization

The drainage pumping plants are the main facilities in flood control infrastructure. Many of them have deteriorated and their maintenance, especially replacement, has become a large issue in Japan. The plant consists of many different types of equipment. Each of them has its own lifespan. The lifespan has uncertainty. A method is proposed to schedule the replacement of equipment under uncertainty, considering the two properties of rationality and robustness. The rationality means that the schedule is logical and feasible. It is evaluated by the replacement cost in the scheduling period under the constraints of the reliability and annual cost. The robustness means that the schedule is hard to be affected by the uncertainty of the equipment lifespan. It is evaluated by the expected value of the time difference between the actual replacement and the scheduled replacement based on the probability distribution of equipment lifespan. The problem is modeled as a multi-objective optimization one on the rationality and the robustness of the schedule. Pareto optimal solutions are derived. The effectiveness of the proposed method is illustrated by case studies based on the practical conditions. The characteristics of Pareto optimal solutions are made clear by comparing non Pareto optimal ones. The contribution of this paper is to propose a method to design the replacement schedule which is hard to be affected by the uncertainty of the equipment lifespan.
Transforming a Nonstandard Table into Formalized Tables

Tables and spreadsheets on the Internet often contain valuable information, but are created by people who have different individuation. As a result, the similar data are often issued with different structures. This limits the integration of such tables. This paper aims to overcome this problem by automatically analyzing the structure area and propose the method transforming the tables into formal relational tables. We propose the methods on identifying structure area, modeling the table structure based on tree and methods to generate the 1NF schema of the original table. We proved the correctness of the method in semantic and the experiment results with tables from different areas demonstrate the effectiveness of our method.
Stability Analysis of Film Casting for PET Resins Using a Multimode Phan-Thien-Tanner Constitutive Equation

In film casting or extrusion coating of polyethylene terephthalate (PET) resins, thickness and film-width nonuniformities arise due to edge neck-in or to flow instabilities such as draw resonance. Flow modeling can identify the parameter range of stable operation but requires accurate knowledge of melt rheology/elasticity in both shear and extension. Rheological data of a linear PET published earlier was used to fit, by nonlinear optimization, the linear relaxation spectrum and nonlinear parameters of a multimode Phan-Thien and Tanner (PTT) constitutive relation. The fitted PTT relation was then used in a finite-element model of the stability of film casting flow based on the thin membrane approximation. At low Deborah numbers (De), the critical draw ratio (Dr) for the onset of the draw resonance instability was found to be in agreement with previous analyses; but at higher De it was found to depend significantly on the stress boundary condition imposed at the inflow boundary. For a certain boundary condition and beyond a certain De, a new mode of instability with half the temporal and spatial frequency of draw resonance was found at small draw ratios.
Chapter 2 The GORK K +-channel is a substrate of calcium-dependent protein kinase 21 , which in turn is activated by 14-3-3 proteins

1Department of Structural Biology, Faculty of Earth and Life Sciences, Vrije Universiteit, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands, 2 Netherlands Proteomics Centre, Utrecht University H.R. Kruytgebouw, Padualaan 8, 3584 CH Utrecht, The Netherlands, 3Department of Molecular and Cellular Neurobiology, Faculty of Earth and Life Sciences, Center for Neurogenomics and Cognitive Research, Neurosci. Campus, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands, 4Current address: Biological Chemistry and Crop Protection Department, Rothamsted Research, Harpenden, AL5 2JQ, UK