Miracle-dz/UniFAR-FTUs huggingface dataset:
Accounting for variability in ion current recordings using a mathematical model of artefacts in voltage-clamp experiments

Mathematical models of ion channels, which constitute indispensable components of action potential models, are commonly constructed by fitting to whole-cell patch-clamp data. In a previous study we fitted cell-specific models to hERG1a (Kv11.1) recordings simultaneously measured using an automated high-throughput system, and studied cell-cell variability by inspecting the resulting model parameters. However, the origin of the observed variability was not identified. Here we study the source of variability by constructing a model that describes not just ion current dynamics, but the entire voltage-clamp experiment. The experimental artefact components of the model include: series resistance, membrane and pipette capacitance, voltage offsets, imperfect compensations made by the amplifier for these phenomena, and leak current. In this model, variability in the observations can be explained by either cell properties, measurement artefacts, or both. Remarkably, by assuming that variability arises exclusively from measurement artefacts, it is possible to explain a larger amount of the observed variability than when assuming cell-specific ion current kinetics. This assumption also leads to a smaller number of model parameters. This result suggests that most of the observed variability in patch-clamp data measured under the same conditions is caused by experimental artefacts, and hence can be compensated for in post-processing by using our model for the patch-clamp experiment. This study has implications for the question of the extent to which cell-cell variability in ion channel kinetics exists, and opens up routes for better correction of artefacts in patch-clamp data.
Comparison of the Observed Rainfall with Rainfall Estimated by CLIGEN Climate Model in terms of Drought Analysis

Standardized Precipitation Index (SPI) is used to determine dry and humid periods according to the cumulative probability method at different time scales. In this study, the rainfall data between the years of 1980-2018 belonging to of Kayseri Meteorology Station was simulated by CLIGEN stochastic climatic data generator. SPI indices calculated by using observed and simulated precipitation were evaluated with the statistical methods at the time scales of 3-, 6-, 9- and 12- months. The SPI values of 3-, 6-, 9- and 12- month which are observed and simulated with CLIGEN are close to each other and the performance of the model is very high in calculating the SPI values of these time series. However, as the time period increased, the model's representative ability decreased.
Empirical Efficiency Measurement in Higher Education: An Overview

This paper reviews the most recent empirical literature that assesses efficiency in higher education. We analyze 76 studies ranging from 1997 to 2018 and classify them according to the methodologies applied and to the definitions used to describe the outputs, inputs, quality and the context variables. We find that 72 percent of the empirical studies use non-parametric approaches. The most recent studies use panel data. The degrees completed are the most frequently used output variable, and only 9 papers include quality variables. Moreover, while only few parametric papers take observed heterogeneity into account, more than 40 percent include environmental variables to address for observed heterogeneity. This review is useful for researchers interested in measuring efficiency, for policy makers and for other educational stakeholders.
An Efficient Resource Monitoring Service for Fog Computing Environments

With the increasing number of Internet of Things (IoT) devices, the volume and variety of data being generated by these devices are increasing rapidly. Cloud computing cannot process this data due to its high latency and scalability. In order to process this data in less time, fog computing has evolved as an extension to Cloud computing. In a fog computing environment, a resource monitoring service plays a vital role in providing advanced services, such as scheduling, scaling and migration. Most of the research in fog computing has assumed that a resource monitoring service is already available. Conventional methods proposed for other distributed systems may not be suitable due to the unique features of a fog environment. To improve the overall performance of fog computing and to optimise resource usage, effective resource monitoring techniques are required. Hence, we propose a support and confidence based (SCB) technique which optimises the resource usage in the resource monitoring service. The performance of our proposed system is evaluated by examining a real-time traffic use case in a fog emulator with synthetic data. The experimental results obtained from the fog emulator show that the proposed technique consumes 19 percent lesser resources compared with the existing technique.
Time Encoding in Languages and Investment Efficiency

Linguistics research shows that languages differ as to how they differentiate future from present events. Economics research finds that when the grammatical structure of a language disassociates the future from the present, speakers of the language also disassociate the future from the present in their behaviors. This study examines how linguistically induced time perception relates to cross-country variation in investment efficiency. We find that underinvestment is less prevalent in countries where there is a weaker time disassociation in the language. The results from both a within-country analysis based on firms headquartered in different regions of Switzerland and an analysis based on the birthplace information of U.S. firms’ chief executive officers confirm the relation between languages and investment efficiency. Collectively, the results suggest that time encoding in languages influences speakers’ cognition and their investment decisions. This paper was accepted by Shivaram Rajgopal, accounting.
Economic Analysis of Comprehensive Rehabilitation of Childrenwith Spastic Forms of Cerebral Palsy with and without BotulinumNeurotoxin Type A Injections

Objective: Conduct a comparative economic analysis of comprehensive rehabilitation for children with CP aged from 2 to 14 years with and without botulinum neurotoxin type A (BoNT-A) injections. Materials and Methods: We followed 149 children with spastic forms of CP (GMFCS II-IV) 78 boys and 71 girls aged from 2 to 14 years. The study group included 108 children getting abobotulinumtoxinA injections (BoNT-A injections) in the comprehensive rehabilitation program and the control group included 41 children with similar comprehensive treatment without BoNT-A injections, which is the current standard of complex therapy. While conducting an economic analysis (budget impact analysis, BIA and costeffectiveness analysis, СЕА), only direct costs were taken into account: the cost of BoNT-A therapy, rehabilitation and surgeries. Results: Children with CP in the study group required their first surgical correction by the age 10.5 ± 2.8 years. 5 children (4.6%) required repeated operations. The children in the control group receiving standard therapy (without BoNT-A injections) were first operated on at the age of 6.7 ± 2.1 years. 39 children (95%) required repeated operations in the control group during their 10 to 12 year period of active growth and development. The economic analysis confirmed that including abobotulinumtoxinA as part of the CP treatment regime would provide savings of 24.744 690.2 roubles per 100 children compared to standard therapy without BoNT-A injections over a 12-year follow-up period. Achieving 1% effectiveness in children with CP using BoNT-A would cost 1,854,426 roubles, however achieving similar outcomes in children with CP without BoNT-A would cost 40,702,271.6 roubles. If BoNT-A therapy was included as part of the comprehensive rehabilitation program, the savings could provide medical treatment for an additional 14% children opposed to a more expensive treatment regime without BoNT-A. Conclusion: The use of abobotulinumtoxinA as part of comprehensive rehabilitation for children with CP is economically justified. Long-term therapy of children with CP using BoNT-A can provide savings of 24 744 690 roubles per 100 patients compared to the standard therapy over a 12-year follow-up period. Using the statistical data issued on January 01, 2018 of the registry of children with CP in the Tyumen region, the budget savings could be 5,938,726 roubles per year.
Noise-based ballistic wave passive seismic monitoring – Part 2: surface waves

Aurélien Mordret, Roméo Courbis2−3, Florent Brenguier, Małgorzata Chmiel2−3, Stéphane Garambois, Shujuan Mao, Pierre Boué, Xander Campman, Thomas Lecocq, Wim Van der Veen and Dan Hollis 1Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USA 2Université Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, IFSTTAR, ISTerre, UMR 5275, 38000 Grenoble, France 3Sisprobe, Meylan, 38240, France 4Shell Global Solutions International BV, Amsterdam, the Netherlands 5Royal Observatory of Belgium Seismology, Avenue Circulaire, 3, BE-1180 Brussels, Belgium 6Nederlandse Aardolie Maatschappij. 3
Equivalent Planar Lens Ray-Tracing Model to Design Modulated Geodesic Lenses Using Non-Euclidean Transformation Optics

This article describes a design procedure that enables a time-efficient evaluation of the focusing properties of modulated geodesic lenses using ray tracing on the equivalent gradient-index planar lens. The method uses transformation optics to define the equivalent planar relative permittivity distribution of axially symmetric surfaces and a ray-tracing model to evaluate the phase distribution in the aperture of the lens. This approach is of interest to optimize modulated geodesic lenses having polynomial profiles, reducing their height while preserving their wideband behavior and wide angular focusing properties. The approach is validated with a specific lens design. The profile is optimized at 30 GHz, while the focusing properties are monitored over the complete Ka up-link frequency band allocated to satellite communications (i.e., 27.5–31 GHz). The manufactured prototype produces 21 beams equally spaced every 7.5° over the extended angular range of ±75°. The ray-tracing model results are compared in detail with the corresponding full-wave model results and experimental data. The manufactured design has return loss better than 15 dB over a fractional frequency bandwidth larger than 30%, in line with the predictions. Excellent scanning properties are demonstrated over an angular range of ±60° with scan losses below 1 dB and good pattern stability, including on sidelobe levels. A height reduction by a factor of 4, when compared to a conventional geodesic lens, is demonstrated with this specific design.
TEXT CLASSIFICATION BASED ON SUPPORT VECTOR MACHINE

Sự phát triển của Internet làm cho thông tin lưu trữ trực tuyến hàng ngày gia tăng nhanh chóng. Do vậy, để tìm đúng thông tin mà chúng ta cần quan tâm thì mất khá nhiều thời gian nên cần phải dùng những kỹ thuật tổ chức và xử lý dữ liệu về văn bản. Kỹ thuật này được gọi là phân lớp văn bản hay nói cách khác là phân loại văn bản. Đã có rất nhiều phương pháp nghiên cứu về phân loại văn bản nhưng trong bài viết này chúng tôi tìm hiểu và áp dụng phương pháp Support Vector Machine và so sánh hiệu quả của nó với phương pháp phân loại theo xác suất Naïve Bayes. Ngoài ra, trước khi thực hiện phân lớp chúng tôi thực hiện các bước tiền xử lý bằng cách trích xuất các từ khóa đặc trưng với kỹ thuật giảm chiều tập huấn luyện nhằm làm giảm thời gian trong quá trình phân lớp.
Data Analysis in Automotive Industrial Cells

The manufacturing industry always has been one of the leading energy consumers, so companies in this area are always trying to use the best tools provided by the evolution of the technology, to analyse and lower the production costs. Many known studies don’t mind inconveniences such as stopping the production of the factory to perform studies or deep architecture improvements in the transport system. The proposed solution offers two different sets of tools. A device adapter, that targets the gather and storage of data, from industrial robotic cells devices, being the main requirement for a data analysis application, and a data analysis system, that analyses the stored data, without changing the existing production model. The analysis procedure aims the energy usage of a cell and its robot, and the duration of the executed processes. This solution was tested in two different robotic cells, that execute the same process. Multiple executions with different robot velocities were performed in order to gather the required data to provide an analysis and the conclusion was that, for both cells, the energy usage for each executed product was lower when the robot speed was higher, and that one of the cells is more efficient that other cell when executing at high speed but less efficient on lower velocities.
Semisupervised Variational Generative Adversarial Networks for Hyperspectral Image Classification

Although the hyperspectral image (HSI) classification is extensively investigated, this task remains challenging when the number of labeled samples is extremely limited. In this article, we overcome this challenge by using synthetic samples and proposing semisupervised variational generative adversarial networks (GANs). In contrast to conditional GAN (previously used for the generation of HSI samples), the proposed approach has two novel aspects. First, an encoder-decoder network is extended to the semisupervised context using an ensemble prediction technique. Through this technique, our deep generative model can be trained using limited labeled samples (only five samples per class) with a large number of unlabeled samples. Second, we build a collaborative relationship between the generation network and the classification network. This property enables that our model can produce meaningful samples that can contribute to the final classification. The experiments on four benchmark HSI datasets demonstrate that the proposed model can achieve an increase of $>$10% in overall classification accuracy compared with the baseline model without using the generated sample. We also show that the proposed model can achieve better and more robust performance for HSI classification than other generative methods as well as semisupervised methods, especially when the labeled data are limited.
In search of the beloved community: dancing to a different tune of youth participation

ABSTRACT One element of the PARTISPACE study into spaces and styles of Youth Participation in eight European cities is presented in this article. Drawing on ethnographically informed studies of four sites in three cities, the paper analyses the ways in which young people construct and sustain alternatives to the policy-driven forms of participation, based on their yearning and aspiration for different relations than those found in ordinary life. We suggest four themes as characterising their search for community: Places where communities are born; Breaking out of the Ordinary; Differentiated Openness and Protected Zones of Experimentation. In conversation with the work of bell hooks on ‘homeplaces’ and Victor Turner on anti-hegemonic anti-structures, the analysis suggests that young people’s self-created spaces give insights into what ‘youth participation’ might be and that forms of protection of such alternative spaces are an inbuilt necessity and not necessarily to be seen as exclusionary or anti-democratic.
Educação Tecnológica Aplicada Às Cooperativas: Análise De Keyword

Este artigo compoe parte dos estudos interdisciplinares sobre educacao do campo e agricultura familiar[1]. A analise bibliometrica das dissertacoes e teses pertencentes a Biblioteca Digital Brasileira de Teses e Dissertacoes (BDTD), com as tematicas tecnologia da educacao e cooperativismo. Esse metodo de analise de conteudo permite apreender rapidamente o que e produzido sobre determinado tema, possibilitando ao pesquisador de iniciacao cientifica se apropriar de conhecimento de maneira num curto espaco de tempo. O objetivo deste artigo e representar graficamente a producao cientifica sobre tecnologia educacional e cooperativismo e, compreender como a padronizacao destas publicacoes podem auxiliar na producao cientifica reduzindo os vieses causados pelas dificuldades de acesso aos artigos cientificos, e a disseminacao das publicacoes aos pares. Ao analisar os estudos ressalta-se que os dados analisados sao de origem administrativas, e por isso, a falta de informacoes em alguns campos e nos cadastros de bases de dados que prejudicam as analises. O problema e recorrente em todos os anos analisados, desta forma, sugere-se a revisao dos sistemas de preenchimentos das plataformas, para possibilitar resultados mais fidedignos, sem possiveis enviesamentos. [1] O presente trabalho foi realizado com apoio da Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior - Brasil (CAPES) - Codigo de Financiamento 001 e do plano de trabalho PIBIC - edital no 120-2018 - PROCAD.
'In short tyme it wil heale the sore'. A relevance perspective of promising in medical utilitarian texts of the earl y modern english period

EDITORIAL EDITORIAL La obra incluye aportaciones que combinan nuevas metodologías docentes aplicadas a la enseñanza de lenguas y sus literaturas con el uso de la tecnología. Los autores combinan el conocimiento de teorías sobre la enseñanza con propuestas que han llevado a cabo en el aula, presentando los resultados de sus experiencias. Este hecho hace que la obra incorpore conocimientos teóricos y prácticos que sirven de modelo a otros docentes, de manera que resulta de interés para profesores de lenguas de educación primaria y secundaria así como para docentes universitarios, ya que las variadas aportaciones incluidas abordan distintas metodologías y formas de utilizar la tecnología.
Design and Development of a Mechanism for Lower Limb Movement

Robotics for human rehabilitation consents to respond on open challenges and opportunities to integrate engineering concepts into human service. This paper presents a modular and reconfigurable robotic device focused on ankle rehabilitation tasks. The proposed configuration guarantees the rehabilitation progression and torque assistance during the ankle exercise, avoiding any potential disturbance. The design has been guided by patients’ requirements and ankle motion. The kinematic, dynamic analyses and the mechatronic model are proposed. The hardware in the loop strategy was adopted and validated using a number of simulations. Finally, the device was validated through a set of experimental tests. The obtained results confirmed the theoretical and simulation models, thereby highlighting the potential effectiveness of the proposed system for ankle rehabilitation. 
Review of Service Restoration for Distribution
Networks

With the rapid deployment of the advanced metering infrastructure (AMI) and distribution automation (DA), self-healing has become a key factor to enhance the resilience of distribution networks. Following a permanent fault occurrence, the distribution network operator (DNO) implements the self-healing scheme to locate and isolate the fault and to restore power supply to out-of-service portions. As an essential component of self-healing, service restoration has attracted considerable attention. This paper mainly reviews the service restoration approaches of distribution networks, which requires communication systems. The service restoration approaches can be classified as centralized, distributed, and hierarchical approaches according to the communication architecture. In these approaches, different techniques are used to obtain service restoration solutions, including heuristic rules, expert systems, metaheuristic algorithms, graph theory, mathematical programming, and multi-agent systems. Moreover, future research areas of service restoration for distribution networks are discussed.
Strain and Growth Conditions may Regulate Resistance of Listeria monocytogenes Biofilms to Benzalkonium Chloride

Listeria monocytogenes is one of the main foodborne pathogens. The formation of biofilms by L. monocytogenes contributes to its resistance to disinfectants, which represents a serious risk for food production plants. The aim of this study was to compare the effect of sub-inhibitory concentrations of benzalkonium chloride (BAC) (1.25 or 2.5 mg/L) on biofilm production and on biofilm reduction after exposure to an inhibitory concentration of BAC (1280 mg/L) in two isogenic L. monocytogenes strains: the BAC-sensitive wild-type strain S2-1 and its BAC-resistant mutant derivative S2BAC, which presented a multidrug resistance phenotype. The biofilm-forming ability of the strains under different BAC concentrations was evaluated by the resazurin method using polystyrene microplates. The biofilm reduction after BAC exposure was evaluated by using stainless steel coupons (SSCs). When the resazurin method was used, S2BAC produced significantly more biofilm in the presence of a sub-inhibitory concentration of BAC compared to that in the culture medium without BAC (p < 0.05). When the SSC method was used, the presence of sub-inhibitory concentrations of BAC resulted in a higher resistance of the biofilm for S2BAC compared to that in the culture medium without BAC (p < 0.05). This was not observed with the sensitive S2-1 strain. These results suggest that biofilm behavior depends on the strain and sub-inhibitory concentrations of disinfectants and may explain the ability of certain isolates to persist in niches of food processing plants.
A novel finite-time disturbance observer-based partial control design: A guidance application

This paper presents a novel technique to design a robust finite-time partial stabilizer, based on the non-singular terminal sliding mode method and a disturbance observer for the missile guidance problem. In the proposed method, the finite-time stability is desired for only a part of the state variables in the guidance system. Accordingly, the guidance system is divided into two subsystems where the finite-time stability is desired only for the first subsystem. Then, a partial diffeomorphism transformation is used to convert the first subsystem into the normal form. Finally, the components of the input vector appearing in the transformed form of the first subsystem are designed to achieve finite-time stability based on a partial disturbance observer. In the proposed finite-time disturbance observer, the disturbances are estimated in a finite time without any knowledge about their upper bounds. Simulation results demonstrate the effectiveness of the designed guidance law to intercept maneuvering and non-maneuvering targets compared to the existing methods.
Learning to Transfer: Unsupervised Domain Translation via Meta-Learning

Unsupervised domain translation has recently achieved impressive performance with Generative Adversarial Network (GAN) and sufficient (unpaired) training data. However, existing domain translation frameworks form in a disposable way where the learning experiences are ignored and the obtained model cannot be adapted to a new coming domain. In this work, we take on unsupervised domain translation problems from a meta-learning perspective. We propose a model called Meta-Translation GAN (MT-GAN) to find good initialization of translation models. In the meta-training procedure, MT-GAN is explicitly trained with a primary translation task and a synthesized dual translation task. A cycle-consistency meta-optimization objective is designed to ensure the generalization ability. We demonstrate effectiveness of our model on ten diverse two-domain translation tasks and multiple face identity translation tasks. We show that our proposed approach significantly outperforms the existing domain translation methods when each domain contains no more than ten training samples.