Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic Calibration of Propagation Models on Railway Communications

 Abstract — This work shows that by associating a Personalized K-Means clustering algorithm to Genetic Algorithms, the calibration of propagation models in railways for different kinds of environments and characteristics, produces parameters that minimize the existing error solutions in adjusting the curves and hence obtaining a reduction of the error in estimating the attenuation, compared to the values obtained through a global optimization [3]. The information on which the proposed algorithm was based, consists of actual measurements made along the railways, including the information of the clutter.
THE EFFECTS OF ACUTE CAFFEINE CONSUMPTION ON JUMP SQUAT PEAK

Discussion and Conclusions 2 To include: collation of information and ideas and evaluation of those ideas relative to the extant literature/concept/theory and research question/problem; adoption of a personal position on the study by linking and combining different elements of the data reported; discussion of the real-life impact of your research findings for coaches and/or practitioners (i.e. practical implications); discussion of the limitations and a critical reflection of the approach/process adopted; and indication of potential improvements and future developments building on the study; and a conclusion which summarises the relationship between the research question and the major findings.
Comparative analysis of the use of video lectures and web 2.0 applications in a hybrid university course environment: a case study

Use of online video and audio lecturing is an effective means to deliver asynchronous teaching resources to students in a hybrid academic learning environment. The lecture that was delivered by the teacher in the classroom can be recorded and placed on a video sharing network like YouTube and/or in a learning management system (LMS) to be available to students for later viewing and preparation for assessment. Also, the audio recording of a lecture can be easily created with the PowerPoint Slide Show recording functionality or by using screen capture or screen recording software like Camtasia and also placed in the course LMS to be used by students for learning. In most previous studies the students’ evaluation of such video or audio lecturing resources has indicated their potential contribution to learning, even though their adoption by the students was moderated by their learning styles and preferences. A better insight into the value of video and audio lecturing can be provided by a comparative analysis of the use of video and audio lectures and other types of online learning technologies. Therefore, in our paper we compare the students’ perceptions of several aspects of video and audio lecturing and the value of their use for learning with their perceptions of the use of other technologies suitable for online teaching and learning: Diigo social bookmarking and notes-taking tool, Mendeley tool for organization of research documents, Google Documents, Google Slides, Google Forms, YotForm web survey tool, online mind mapping tools (Mindomo/Mindmeister/Bubbl.us), online block-diagram
Introdução à Computação Quântica

RESUMO A evolução dos computadores está limitada por duas barreiras inatinǵıveis para o modelo atual: velocidade da luz no processamento da informação e a dimensão da ordem de grandeza atômica, no tamanho dos componentes em um chip. A Computação Quântica é a continuidade natural na evolução dos computadores para fisicamente tentar atingir estas barreiras. O prinćıpio da incerteza associado à estrutura quântica da matéria define um mecanismo para que Computadores Quânticos implementem uma Máquina Probabiĺıstica de Turing, assim os Computadores Quânticos poderão ser utilizados na solução de problemas intratáveis da classe NP-completo. É posśıvel definir Bits Quânticos, ou Qubits, para representação da informação e construir um conjunto universal de portas quânticas para operar sobre os Qubits, seguindo uma programação pré-definida. Alguns protótipos já demonstram a implementação da computação quântica, no entanto são apenas modelos experimentais. A Computação Quântica apresenta uma perspectiva positiva de futuro.
Multi-Laboratory Cooperation for Validating Microgrid and Smart Distribution System Approaches

Distributed, renewable energy resources are one of the main driving forces for the realization of a sustainable energy supply in Europe. Their stochastic generation behaviour provides a lot of challenges which have to be managed by energy utilities and network operators. Due to the help of advanced operational concepts and intelligent automation the existing power systems are currently turned into an intelligent entity, a so-called smart grid which can cope with the dynamic behaviour of such renewables. While reaping the benefits that come along with those intelligent behaviours, it is expected that the system-level testing – besides component-level characterisation – will play a more dominant role in the whole engineering process than today. Corresponding validation and testing approaches including a suitable research infrastructure covering power and automation systems equally, are partly missing. This work tackles these issues by introducing an approach for the multilaboratory cooperation which is currently implemented in the framework of the European ERIGrid project to form a pan-European and integrated smart grid research infrastructure.
Intersections of War and Disability: The Context of Disabled Tamil Women in Sri Lanka

In the foreground of economic development, Sri Lanka has been commended for its strong economic growth, despite its civil war. However, beneath that lies a different picture where inequalities are created and exacerbated by patterns of discrimination and unequal treatment among Sri Lanka’s most vulnerable population. In keeping with a Critical Disability Studies approach, this Major Research Paper aims to shed light on the current state of disablement among Tamil women with disabilities in Sri Lanka and seeks to understand their position in society, where they are triply marginalized by a number of factors. These factors such as gendered-caste discrimination, life course position, social location, involuntary migration, displacement through civil war and marginalization intersect to create barriers for disabled Tamil women, which ultimately leaves them in a most disadvantaged position. Additionally, this paper discusses the ramifications of Sri Lanka’s civil war and its connection with mental health, war, and disability. Lastly, it investigates the international bodies such as United Nations, World Health Organization, and United Nations Convention on the Rights of Persons with Disabilities and their role in dismantling disabilities in Sri Lanka. In doing so, it aims to provide a thorough investigation into these women’s lives and to look at lived experience of disabled women from Northern part of Sri Lanka.
DC-DC Converters for Organic Photovoltaic Cells

This paper describes the design of step-up DCDC converters supplied by an organic photovoltaic cell. Three topologies were under study, namely a hard switch boost and two hybrid configurations, based on inductive and switched capacitors topologies. The MOSFET switches were driven by a Colpitts oscillator at 1,2 MHz, allowing the implementation of a completely autonomous conversion system, making way to the final PCBs, where output voltages higher than 1,2 V were obtained. Each prototype was designed with an area bellow 2,3 cm.
A multi-service IoT platform for smart mobility - the case of an university school

—Internet of Things is seen as a technology that can revolutionise traditional transportation and logistic businesses. The possibility of sensing and communication with vehicle in real-time extends the way traditional services are being offered and enable also new services. This work proposes a multi-service platform aimed to solve the mobility problems of an university community. The proposed system enhances the existing transportation private ﬂeet service by providing online booking, authentication and real-time information services. These services rely on the use of different access technologies to guarantee real-time communication, location services to inform users about the position of the bus and readers to authenticate the users. The paper describes the services and platform architecture. An extensive studied of the embedded system component is provided, starting at the architectural design options, selection and testing of components. Tests were realised on a operational environment and cover a broad range of topics, such as technologies, services and users’ behaviours.
A Study of Community and Regional Potential Tende Village, Bentian Besar District, West Kutai Regency, East Kalimantan Province

Tende Village was designated as a Pilot Village by the National Development Planning Board of the Republic of Indonesia in East Kalimantan which was also included in the 3T area category along with 3 (three) neighboring villages namely Sambung, Randa Empas, and Tukuq villages which were also in a border area on the Trans Kalimantan route East and Central Kalimantan. As villages in general, of course this village has the potential that must be explored and developed, both the potential of the community and the potential of the Tende Village area, as well as the right development model to be applied. This study uses 2 (two) analytical tools namely LQ and interactive analysis of Miles and Huberman. The results of this study were (1) the Potential of the Tende Village Community was in the form of farming skills in the fields, having future human resources, and the culture of the Dayak Bentian Tribe. (2) Potential of Tende Village Area includes as gross as Agriculture, other SDAs such as Forests that produce Ulin, Natural Honey, Rattan, Other Timber, Education sector, Rattan Craft industry sector, Artificial Swallow Nest, Tourism sector in the form of Rattan craft workshop and Bentian Besar culture, as well as the Health sector as a border health center. (3) The development model of the potential of the Tende Village community and region makes it possible to apply (a) models that are research stations and ecological tourism and (b) agropolitan area models in accordance with the characteristics and local wisdom of Tende Village.
Selection of Indigenous Rhizobacterial Isolates Capable of Inducing Resistance of Chili Against Colletotrichum gloeosporioides

Anthracnose, a disease caused by Colletotrichum gloeosporioides which affects chili, is difficult to control. Biological control with indigenous rhizobacteria (RB) can be a solution as the bacteria are conditioned to their natural habitat.The advantage of using indigenous rhizobacteria is that it is easy to adapt to the target plant and multi mechanisms, i.e. not only to control plant diseases but also to enhance the growth and yield of chili. The aim of this research was to determine the isolates of indigenous RB capable of enhancing the resistance of chili crops against anthracnose disease. Indigenous RB isolates were obtained from healthy rhizosphere chili in endemic areas of anthracnose disease in West Sumatera. Sampling was done by using a purposive method, based on geographical conditions, namely: 1. Lowland (<400 m above sea level (asl), Padang City, 2. Medium land (400-700 asl), Lima Puluh Kota District, 3. Highland (> 900 asl),Agam district.This research consisted of two stages, 1. The selection of 169 isolates of indigenous RB for their capability to enhance the growth of chili seedlings and 2.The testing of selected isolates of indigenous RB in inducing the resistance of chili against anthracnose disease. The parameters observed were: time and percentage of germination, seedling height, number of seedling leaves, root length of seedlings, wet seedling weight, dry seedling weight, incubation period, attack intensity, percentage of infected fruits, plant height, number of fruits per plant and fruit weight per plant. The resultsshowedthat19 the isolates of indigenous RB were capable of stimulating the growth of chili seedlings, which consisted of 7 isolates of indigenous RB from Padang city, 7 isolates of indigenous RB from Agam district and 5 isolates of RB from Lima Puluh Kota District. Three RB isolates were capable of controlling anthracnose disease, namely isolates of RB B1.37 and P1.31 with 0% attack intensity, and B2.11 with 27.8% anthracnose disease attack intensity.
Pulsed radiofrequency of the dorsal root ganglion for chronic lumbosacral radicular syndrome refractory to epidural steroid injections.

Introducción. Aproximadamente el 20% de los pacientes con síndrome radicular lumbosacro crónico no responden a las inyecciones epidurales de esteroides. La radiofrecuencia pulsada del ganglio de la raíz dorsal (GRD) es una alternativa terapéutica en ellos. Objetivo. Evaluar el efecto analgésico de la radiofrecuencia pulsada del GRD en pacientes con síndrome radicular lumbosacro crónico, refractario a los esteroides epidurales.Pacientes y método. 15 pacientes con síndrome radicular lumbosacro crónico que no respondieron a dos inyecciones epidurales de esteroides, fueron tratados con radiofrecuencia pulsada del GRD a 45V y 42ºC, en 2 ciclos de 120 segundos. Se utilizó el Inventario Abreviado de Dolor para evaluar los resultados. Se consideró una respuesta satisfactoria al procedimiento, una disminución de dos puntos en la Escala Verbal Numérica (EVN) evaluada en la pregunta 6 del Inventario Abreviado de Dolor. Los Indices de Intensidad y de Interferencia fueron calculados, antes y después del tratamiento. Resultados. La EVN se redujo de 7,8 a 6,1. Los Indices de Intensidad e Interferencia disminuyeron de 7,0 a 5,9 y de 7,2 a 6,0 respectivamente. Siete pacientes (47%) presentaron una respuesta analgésica satisfactoria. En éstos, la EVN disminuyó de 8,3 a 3,7 y los Indices de Intensidad e Interferencia de 6,9 a 4,5 y de 7 a 5 respectivamente. Conclusiones. En aproximadamente la mitad de los pacientes con síndrome radicular lumbosacro refractario a las inyecciones epidurales de esteroides, la aplicación de radiofrecuencia pulsada en el GRD resultó en una respuesta analgésica satisfactoria, similar a la observada en otros estudios publicados.
A Dynamic Competitive Analysis of Content Production and Link Formation of Internet Content Developers

The emergence of hundreds of revenue sharing content websites has greatly contributed to the proliferation of Internet social media. Content at these websites is supplied by external independent developers, whom the websites attract through revenue sharing. This leads to a competition among developers, as each tries to attract viewership to her own content. A feature recently introduced at many sites, namely allowing developers to link to one another, leads to intriguing interactions among the content developers, and its impact on content production and overall website viewership is little understood. In this study, we develop a dynamic oligopoly model for the competition among content developers at a website. Each developer produces content and forms links to maximize her discounted viewership net of cost of actions, and their strategic interaction is characterized as a Markov-perfect equilibrium. Applying the two-step estimator of Bajari, Benkard, and Levin (2007) to the data obtained from a popular Internet product review site, we investigate the following issues: (1) why and how do developers form links? (2) Will linking encourage or discourage content production? (3) What market structure will emerge? (4) Will linking increase or decrease the overall website viewership? We find that reciprocal links are naturally encouraged by a promote-the-promoter effect. This in turn induces developers with more content to strategically initiate links to invite reciprocation. In addition, we find that link formation affects the incentive to produce content – developers with more content and unfavorable network positions are encouraged to produce, while developers in the opposite states are discouraged. Furthermore, the current linking policy may impede competition by giving competitive advantage to a subgroup of content developers, and our simulation suggests that limiting links could increase overall viewership by 17%. Our study is among the first to examine the interdependence between online link formation and contention production in a dynamic and competitive setting.
Flight Data Monitoring Application to Automatic Approaches and Landings

The Flight Data Monitoring department is an essential part of the commercial aviation management, that is why continuous improvement has been the guiding principle. The main goal of this project was to be a contributing factor to the safety of an airline operations, namely in the approach and landing phase of the flights, in the case when, certainly due to low visibility conditions, those approaches and landings were performed using the automatic flight mode (autopilot). An algorithm to classify automatic approaches and landings was created, and their data were stored in a local database along with the meteorological information, so that the regulators requirements would be fulfilled. Two supervised learning models, SVM and Naive Bayes, were created and trained, and the performance of their classification of the approaches and landings was evaluated. The project main contribution, lies on the development of a Shiny © application, that allows the stored data to be presented in a clear and informative way, along with the possibility to generate plots, access METAR information and crew flight reports.
A review on comparison of Aluminium alloy LM-25 with Al/Sic

1,2,3,4 BE student Mechanical, SND COE & RC, YEOLA, Maharashtra, India 5Prof. Mechanical, SND COE & RC, YEOLA, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------AbstractMany industries suffered a great loss of manufacturing process due to collapse of manufacturing machines due to wear and fail of lubrication. Friction is main cause of wear and energy dissipation. Improving friction can make substantial saving. It is obvious that enormous amount of the worlds resources are used to overcome friction in the form or another. Lubrication is an effective means of controlling wear and reducing friction. Hence, for the survival of machine wear and friction must be decreased and/controlled carefully.
Silica gel derived from palm oil mill fly ash

Agro-wastes, especially ash containing silica, are promising sources of silica for synthetic amorphous silica production. In this research, palm oil mill fly ash (POMFA) was used as a raw material for silica gel production. The response surface method-central composite design was applied to study and to optimize the temperature and stirring speed for silica extraction from POMFA using sodium hydroxide solvent. Filtrates were analyzed using inductively plasma optical emission spectroscopy to measure their silica content. At the optimum condition, 60.42±0.83% of the silica can be extracted from the POMFA. The extract silica was acidified using 10% (v/v) H2SO4 to form silica gel. The chemical composition, the phases, and the micrograph of silica gel product are similar to the commercial silica gel.
Evaluating Riak Key Value Cluster for Big Data

: NoSQL database has become an important alternative to traditional relational databases. Those databases are prepared by the management of large, continuously and variably changing data sets. They are widely used in cloud databases and distributed systems. With NoSQL databases, static schemes and many other restrictions are avoided. In the era of big data, such databases provide scalable high availability solutions. Their key - value feature allows fast retrieval of data and the ability to store a lot of it. There are many kinds of NoSQL databases with various performances. Therefore, comparing those different types of databases in terms of performance and verifying the relationship between performance and database type has become very important. In this paper, we test and evaluate the Riak key - value database for big data clusters using benchmark tools, where huge amounts of data are stored and retrieved in different sizes in a distributed database environment. Execution times of the NoSQL database over different types of workloads and different sizes of data are compared. The results show that the Riak key - value is stable in execution time for both small and large amounts of data, and the throughput performance increases as the number of threads increases.
Spectropolarimetric analysis of prompt emission of GRB 160325A: jet with evolving environment of internal shocks

GRB 160325A is the only bright burst detected by AstroSat CZT Imager in its primary field of view to date. In this work, we present the spectral and polarimetric analysis of the prompt emission of the burst using AstroSat, Fermi and Niel Gehrels Swift observations. The prompt emission consists of two distinct emission episodes separated by a few seconds of quiescent/ mild activity period. The first emission episode shows a thermal component as well as a low polarisation fraction of $PF 43\, \%$ at $1.5 \sigma$ confidence level. We also study the afterglow properties of the jet using {\it Swift}/XRT data. The observed jet break suggests that the jet is pointed towards the observer and has an opening angle of $1.2^{\circ}$ for an assumed redshift, $z = 2$. With composite modelling of polarisation, spectrum of the prompt emission and the afterglow, we infer that the first episode of emission originates from the photosphere with localised dissipation happening below it, and the second from the optically thin region above the photosphere. The photospheric emission is generated mainly by inverse Compton scattering, whereas the emission in the optically thin region is produced by the synchrotron process. The low radiation efficiency of the burst suggests that the outflow remains baryonic dominated throughout the burst duration with only a subdominant Poynting flux component, and the kinetic energy of the jet is likely dissipated via internal shocks which evolves from an optically thick to optically thin environment within the jet.
SentenceMIM: A Latent Variable Language Model

We introduce sentenceMIM, a probabilistic auto-encoder for language modelling, trained with Mutual Information Machine (MIM) learning. Previous attempts to learn variational auto-encoders for language data have had mixed success, with empirical performance well below state-of-the-art auto-regressive models, a key barrier being the occurrence of posterior collapse with VAEs. The recently proposed MIM framework encourages high mutual information between observations and latent variables, and is more robust against posterior collapse. This paper formulates a MIM model for text data, along with a corresponding learning algorithm. We demonstrate excellent perplexity (PPL) results on several datasets, and show that the framework learns a rich latent space, allowing for interpolation between sentences of different lengths with a fixed-dimensional latent representation. We also demonstrate the versatility of sentenceMIM by utilizing a trained model for question-answering, a transfer learning task, without fine-tuning. To the best of our knowledge, this is the first latent variable model (LVM) for text modelling that achieves competitive performance with non-LVM models.