Miracle-dz/UniFAR-FTUs huggingface dataset:
Estimation of Power System Inertia From Ambient Wide Area Measurements

This study presents a method of estimating the effective inertia of a power system from ambient frequency and active power signals measured by phasor measurement units. Most importantly, we demonstrate that inertia can be estimated from ambient measurement data, not only from disturbances. This leads to the possibility of monitoring inertia in a close to continuous manner in the time scale of minutes or tens of minutes. The method allows the system to be divided into a number of areas and the effective inertia of each area to be estimated as a separate quantity. In principle, inertia is estimated by observing the dynamics between changes in active power and resulting frequency deviations during normal operation of the system. The method is based on applying system identification on these measurements and extracting inertia values from identified models. Efficacy of the method is demonstrated on results of real measurements from the Icelandic power system.
Serological normalisation as a surrogate marker for minimal residual disease negativity in multiple myeloma

Catterick, D. & Hunt, B.J. (2014) Impact of the national venous thromboembolism risk assessment tool in secondary care in England: retrospective population-based database study. Blood Coagulation & Fibrinolysis, 25, 571–576. Department of Health. (2010) Venous thromboembolism (VTE) risk assessment. Available from: http://webarchive.nationalarchives. gov.uk/ 20130123195034/http://www.dh. gov.uk/en/Pub licationsandstatistics/Publications/PublicationsPo licyAndGuidance/DH_088215 NICE. (2010) Venous thromboembolism: reducing the isk for patients in hospital. NICE Clinical Guideline [CG92] January 2010. National Institute for Health and Care Excellence, London, UK. NICE. (2018) Venous thromboembolism in over 16s: reducing the risk of hospital-acquired deep vein thrombosis or pulmonary embolism. NICE Clinical Guideline [NG89] March 2018. National Institute for Health and Care Excellence, London, UK. Roberts, L.N. , Porter, G. , Barker, R.D. , Yorke, R. , Bonner, L. , Patel, R.K. & Arya, R. (2013) Comprehensive VTE prevention program incorporating mandatory risk assessment reduces the incidence of hospital-associated thrombosis. Chest, 144, 1276–1281. Rowswell, H.R. & Nokes, T.J.C. (2017) Significant reduction in hospital-acquired thrombosis: impact of national risk assessment and real-time feedback. Open Heart, 4,(2): e000653. doi: 10. 1136/openhrt-2017-000653
Associations between maternal vitamin D levels during pregnancy and allergic outcomes in the offspring in the first 5 years of life

There is increasing evidence to support the Developmental Origins of Health and Disease (DOHaD) concept that fetal life and early life exposures are important determinants of fetal immune regulation and the development of disorders in later life, including allergies. Among the early life exposures, maternal vitamin D [25(OH)D] status during pregnancy, in particular 25(OH)D insufficiency (25(OH)D concentration of 50-75nmol/l) and/or 25(OH)D deficiency (25(OH)D concentration <50nmol/l) has been associated with allergic outcomes such as eczema, asthma and rhinitis in their offspring. This article is protected by copyright. All rights reserved.
Effectiveness and safety of herbal medicines for induction of labour: a systematic review and meta-analysis

Objective The use of herbal medicines for induction of labour (IOL) is common globally and yet its effects are not well understood. We assessed the efficacy and safety of herbal medicines for IOL. Design Systematic review and meta-analysis of published literature. Data sources We searched in MEDLINE, AMED and CINAHL in April 2017, updated in June 2018. Eligibility criteria We considered experimental and non-experimental studies that compared relevant pregnancy outcomes between users and non-user of herbal medicines for IOL. Data extraction and synthesis Data were extracted by two reviewers using a standardised form. A random-effects model was used to synthesise effects sizes and heterogeneity was explored through I2 statistic. The risk of bias was assessed using ‘John Hopkins Nursing School Critical Appraisal Tool’ and ‘Cochrane Risk of Bias Tool’. Results A total of 1421 papers were identified through the searches, but only 10 were retained after eligibility and risk of bias assessments. The users of herbal medicine for IOL were significantly more likely to give birth within 24 hours than non-users (Risk Ratio (RR) 4.48; 95% CI 1.75 to 11.44). No significant difference in the incidence of caesarean section (RR 1.19; 95% CI 0.76 to 1.86), assisted vaginal delivery (RR 0.73; 95% CI 0.47 to 1.14), haemorrhage (RR 0.84; 95% CI 0.44 to 1.60), meconium-stained liquor (RR 1.20; 95% CI 0.65 to 2.23) and admission to nursery (RR 1.08; 95% CI 0.49 to 2.38) was found between users and non-users of herbal medicines for IOL. Conclusions The findings suggest that herbal medicines for IOL are effective, but there is inconclusive evidence of safety due to lack of good quality data. Thus, the use of herbal medicines for IOL should be avoided until safety issues are clarified. More studies are recommended to establish the safety of herbal medicines.
Improvement of Lightning Performance of Overhead Power Lines by Addition of Underbuilt Ground Wires

We investigate the improvement of the lightning performance of overhead power lines through the use of additional ground wires placed below the phase conductors. The analysis of the electrical system is carried out through a method based on the conventional multiconductor transmission-line formalism. In the presence of a direct lightning, both the currents flowing in phase conductors and ground wires and the overvoltages across insulator strings can easily be evaluated. The main effects of such additional ground wires are here pointed out through an accurate numerical analysis.
The Increase of Triterpene Saponin Production Induced by Trans-Anethole in Hairy Root Cultures of Panax quinquefolium

In vitro cultivation is an effective way to increase pharmaceutical production. To increase ginsenoside production in hairy root cultures of American ginseng, the present study uses trans-anethole as an elicitor. The content of nine triterpene saponins was determined: Rb1, Rb2, Rb3, Rc, Rd, Rg1, Rg2, Re and Rf. Trans-anethole was found to stimulate saponin synthesis regardless of exposure time (24 and 72 h). Twenty-four hour exposure to 1 μmol trans-anethole in the culture medium resulted in the highest increase of total saponin content (twice that of untreated roots), and optimum accumulation of Rb-group saponins, with ginsenoside Rc dominating (8.45 mg g−1 d.w.). In contrast, the highest mean content of protopanaxatriol derivatives was obtained for 10 μmol trans-anethole. The Re metabolite predominated, reaching a concentration of 5.72 mg g−1 d.w. : a 3.9-fold increase over untreated roots. Elicitation with use of trans-anethole can therefore be an effective method of increasing ginsenoside production in shake flasks.
$\ell m_p$ : A Novel Similarity Measure for Matching Local Image Descriptors

<inline-formula> <tex-math notation="LaTeX">$m_{p}$ </tex-math></inline-formula>-dissimilarity is a recently proposed data-dependence similarity measure. In the literature, how <inline-formula> <tex-math notation="LaTeX">$m_{p}$ </tex-math></inline-formula>-dissimilarity is generally used for matching local image descriptors has been formalized, and three matching strategies have been proposed by incorporating <inline-formula> <tex-math notation="LaTeX">$\ell _{p}$ </tex-math></inline-formula>-norm distance and <inline-formula> <tex-math notation="LaTeX">$m_{p}$ </tex-math></inline-formula>-dissimilarity. Each of these three matching strategies is essentially a two-round matching process that utilizes <inline-formula> <tex-math notation="LaTeX">$\ell _{p}$ </tex-math></inline-formula>-norm distance and <inline-formula> <tex-math notation="LaTeX">$m_{p}$ </tex-math></inline-formula>-dissimilarity individually. This paper presents two novel similarity measures for matching local image descriptors. The first similarity measure normalizes and weights the similarities that are calculated using <inline-formula> <tex-math notation="LaTeX">$\ell _{p}$ </tex-math></inline-formula>-norm distance and <inline-formula> <tex-math notation="LaTeX">$m_{p}$ </tex-math></inline-formula>-dissimilarity, respectively. The second similarity measure involves a novel calculation that takes into account both spatial distance and data distribution between descriptors. The proposed similarity measures are extensively evaluated on a few image registration benchmark data sets. Experimental results will demonstrate that the proposed similarity measures achieve higher matching accuracy and are able to attain better recall results when registering multi-modal images compared with the existing matching strategies that combine <inline-formula> <tex-math notation="LaTeX">$\ell _{p}$ </tex-math></inline-formula>-norm distance and <inline-formula> <tex-math notation="LaTeX">$m_{p}$ </tex-math></inline-formula>-dissimilarity.
Continuous Dynamical Systems for Weighted Bipolar Argumentation

Weighted bipolar argumentation frameworks determine the strength of arguments based on an initial weight and the strength of their attackers and supporters. These frameworks can be applied to model and solve problems that arise in areas like social media analysis and decision support. Approaches for computing strength values often assume an acyclic argumentation graph and successively set arguments’ strength based on the strength of their parents. A natural idea for cyclic graphs is to update strength values simultaneously rather than successively. Continuous dynamical systems seem well-suited for this approach because they can feature better convergence behaviour than their discrete counterparts. We investigate such a system here. For acyclic graphs, our model is guaranteed to converge and solutions can be computed as efficiently as for successive update procedures. We currently cannot prove very general guarantees for cyclic frameworks, but give empirical evidence that our model converges quickly even in complex cyclic graphs with thousands of nodes and ten thousands of edges. We also explain how potential oscillations can be detected visually. Our model’s axiomatic properties complement existing approaches. We also give sufficient conditions under which successive update procedures can be transformed to well-defined dynamical systems with similar guarantees easily.
Dynamic Modeling and Control of Three-Degree-of-Freedom Electromagnetic Actuator for Image Stabilization

Recently, image quality deteriorations due to vibrations have become a problem in an autonomous system. A lens-unit-swing (LUS) system which consists of a lens and an imaging device is a kind of image stabilization technologies that generate an inverse motion against camera shakes. The LUS system can correct an image from camera shakes over wide rotation ranges around three axes. On the other hand, this system has some problems such as an increase in size and weight. In order to solve these problems, we proposed a novel three-degree-of-freedom electromagnetic actuator for image stabilization (3D-EAIS). In this paper, we propose a dynamic modeling method for the 3D-EAIS. A state equation of the 3D-EAIS is derived. The dynamic analysis results using the derived state equation and an electromagnetic field analysis using the 3-D finite-element method are compared, and the validity of the derived state equation is investigated. Moreover, the attitude stabilization system using a sliding mode control is constructed based on the derived state equation. The disturbance response of the stabilization control system is calculated, and the effectiveness of the control system is verified.
A Secure and Efficient Distributed Storage Scheme SAONT-RS Based on an Improved AONT and Erasure Coding

Distributed storage has been widely used by enterprises in big data and cloud computing. However, the open nature of distributed storage and the geographical restrictions have constrained distributed storage development. People have put forward higher requirements on the security of node data, especially focusing on confidentiality, recoverability, and integrity. In this paper, we find that there are four security vulnerabilities in AONT-RS and RAONT-RS. In addition, we propose an improved AONT called SAONT in which a canary is not used. After that, we present a secure and efficient distributed storage scheme called SAONT-RS based on SAONT and erasure coding. Finally, the security analysis is given from the four aspects of confidentiality, recoverability, integrity, and anti-short plaintext attack. The experiments show that SAONT-RS has high security and efficiency of node data in distributed storage.
Using Think-Aloud Protocol in Looking at the Framing of One's Character with a Case Study on Terraria

How does a player interpret what occurs in a digital game? Fine explains that a player makes interpretations based on three levels of consciousness: as a character in a virtual game world, as a player who is playing the game, and as a person who is living in the real world. This study attempts to examine what happens in Terraria based on Fine's three-layered model and discuss the implications of Fine's model in digital games. The think-aloud method and interviews were used to look at how players interpret what is happening during the gameplay and to discuss the relationship between in-game characters and players from different aspects, such as role-playing and self-playing, empathy, and prosocial behaviors.
Portable Spectroscopy

Until very recently, handheld spectrometers were the domain of major analytical and security instrument companies, with turnkey analyzers using spectroscopic techniques from X-ray fluorescence (XRF) for elemental analysis (metals), to Raman, mid-infrared, and near-infrared (NIR) for molecular analysis (mostly organics). However, the past few years have seen rapid changes in this landscape with the introduction of handheld laser-induced breakdown spectroscopy (LIBS), smartphone spectroscopy focusing on medical diagnostics for low-resource areas, commercial engines that a variety of companies can build up into products, hyphenated or dual technology instruments, low-cost visible-shortwave NIR instruments selling directly to the public, and, most recently, portable hyperspectral imaging instruments. Successful handheld instruments are designed to give answers to non-scientist operators; therefore, their developers have put extensive resources into reliable identification algorithms, spectroscopic libraries or databases, and qualitative and quantitative calibrations. As spectroscopic instruments become smaller and lower cost, “engines” have emerged, leading to the possibility of being incorporated in consumer devices and smart appliances, part of the Internet of Things (IOT). This review outlines the technologies used in portable spectroscopy, discusses their applications, both qualitative and quantitative, and how instrument developers and vendors have approached giving actionable answers to non-scientists. It outlines concerns on crowdsourced data, especially for heterogeneous samples, and finally looks towards the future in areas like IOT, emerging technologies for instruments, and portable hyphenated and hyperspectral instruments.
Automatic Quantitative Analysis of Human Respired Carbon Dioxide Waveform for Asthma and Non-Asthma Classification Using Support Vector Machine

Currently, carbon dioxide (CO<sub>2</sub> waveforms measured by capnography are used to estimate respiratory rate and end-tidal CO<sub>2</sub> (EtCO<sub>2</sub>) in the clinic. However, the shape of the CO<sub>2</sub> signal carries significant diagnostic information about the asthmatic condition. Previous studies have shown a strong correlation between various features that quantitatively characterize the shape of CO<sub>2</sub> signal and are used to discriminate asthma from non-asthma using pulmonary function tests, but no reliable progress was made, and no translation into clinical practice has been achieved. Therefore, this paper reports a relatively simple signal processing algorithm for automatic differentiation of asthma and non-asthma. CO<sub>2</sub> signals were recorded from 30 non-asthmatic and 43 asthmatic patients. Each breath cycle was decomposed into subcycles, and features were computationally extracted. Thereafter, feature selection was performed using the area (<inline-formula> <tex-math notation="LaTeX">$A_{z}$ </tex-math></inline-formula>) under the receiver operating characteristics curve analysis. A classification was performed via a leave-one-out cross-validation procedure by employing a support vector machine. Our results show maximum screening capabilities for upward expiration (<inline-formula> <tex-math notation="LaTeX">$AR_{1}$ </tex-math></inline-formula>), downward inspiration (<inline-formula> <tex-math notation="LaTeX">$AR_{2}$ </tex-math></inline-formula>), and the sum of <inline-formula> <tex-math notation="LaTeX">$AR_{1}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$AR_{2}$ </tex-math></inline-formula>, with an <inline-formula> <tex-math notation="LaTeX">$A_{z}$ </tex-math></inline-formula> of 0.892, 0.803, and 0.793, respectively. The proposed method obtained an average accuracy of 94.52%, sensitivity of 97.67%, and specificity of 90% for discrimination of asthma and non-asthma. The proposed method allows for automatic classification of asthma and non-asthma condition by analyzing the shape of the CO<sub>2</sub> waveform. The developed method may possibly be incorporated in real-time for assessment and management of the asthmatic conditions.
Enabling a Win-Win Coexistence Mechanism for WiFi and LTE in Unlicensed Bands

The problem of WiFi and LTE coexistence has been significantly debated in the last years, with the emergence of LTE extensions enabling the utilization of unlicensed spectrum for carrier aggregation. Since the two technologies employ com-pletely different access protocols and frame transmission times, supporting coexistence with minimal modifications on existing protocols is not an easy task. Current solutions are often based on LTE unilateral adaptations, being LTE in unlicensed bands still under definition. In this paper, we demonstrate that it is possible to avoid a subordinated role for WiFi nodes, by simply equipping WiFi nodes with a sensing mechanism based on adaptive tunings of the ambient noise thresholds (as indeed considered by several commercial cards). Under this assumption, we propose a win-win coexistence mechanism between the two technologies, that does not require modifications on legacy WiFi access operations. We model the interactions between the two technologies in terms of a game and demonstrate the feasibility of the approach in simulation and in real experiments.
Spatial and Temporal Variability in the Development and Potential Toxicity of Phormidium Biofilms in the Tarn River, France

Proliferation of Phormidium biofilms in rivers is becoming a worldwide sanitation problem for humans and animals, due to the ability of these bacteria to produce anatoxins. To better understand the environmental conditions that favor the development of Phormidium biofilms and the production of anatoxins, we monitored the formation of these biofilms and their toxins for two years in the Tarn River, biofilms from which are known to have caused the deaths of multiple dogs. As previously observed in New Zealand, Phormidium biofilm development occurred in riffle areas. The coverage of these biofilms at the bottom of the river exhibited strong spatial and temporal variations, but was positively correlated with water temperature and depth. Anatoxin-a was detected in less than 50% of the biofilms. The concentrations of these toxins in the biofilms exhibited high spatiotemporal variability, with the highest concentrations being recorded at the end of the summer period at the upstream sampling sites. These findings suggest that the maturity of the biofilms, combined with the local environmental conditions, have an impact on the production of anatoxin, making risk assessment for these benthic proliferations challenging.
UJI BEBERAPA SIFAT FISIKA TANAH BEKAS TAMBANG EMAS TANPA IZIN ( PETI ) DI TIGA KECAMATAN DI DARATAN SEPANJANG SUNGAI KUANTAN

ABSTRAK Penelitian ini berjudul Uji Beberapa Sifat Fisika Tanah Bekas Tambang Emas Tanpa Izin ( Peti ) di Tiga Kecamatan Di Daratan Sepanjang Sungai Kuantan. Waktu penelitian selama 5 bulan terhitung dari bulan Agustus sampai dengan Desember 2015. Tujuan penelitian ini adalah untuk mengetahui beberapa sifat fisika tanah bekas tambang emas tanpa izin (PETI) di tiga Kecamatan di daratan sepanjang bagian hilir sungai kuantan. Pelaksanaan penelitian ini dilakukan dengan menggunakan metode survai yang terdiri dari empat tahap yaitu: 1) pra survai, 2) survai utama (pengambilan sampel tanah) di lapangan, 3) analisis tanah di laboratorium, 4) pengolahan data. Pengambilan sampael tanah terdiri dari 2 cara yaitu sampel tanah beragregat utuh dan sampel tanah terganggu di tiga kecamatan sepanjang sungai kuantan (Pangean, Inuman, Cerenti) dengan masing-masing tiga ulangan pada setiap lahan tersebut dengan dua kedalaman (0-20cm dan 20-40cm), sehingga diperoleh 54 sampel tanah. Berdasarkan penelitian yang telah dilakukan dapat disimpulkan bahwa Pertambangan Emas Tanpa Izin (PETI) telah merusak sifat fisika tanah terutama tanah lapisan atas 0-20 cm. Tekstur tanah lapisan atas pada kedalaman 0-20 cm memiliki tekstur yang mengandung pasir dibandingkan tanah yang ditanami karet. Kandungan bahan organik pada PETI yang berbeda pada kriteria sangat rendah, hanya terdapat pada satu lokasi pada kedalaman 20-40 cm yaitu di Kecamatan Inuman. Sedangkan di perkebunan karet memiliki kandungan bahan organik kriteria rendah. Berat volume pada lahan bekas tambang emas umumnya berada pada kriteria tinggi sedangkan pada perkebunan karet memiliki criteria sedang sampai tinggi.
Sensorless Adaptive Sliding Mode FCS–MPC Using Extended State Observer for PMSM Systerm

In order to improve the control performance of three-phase permanent magnet synchronous motor (PMSM) system, a novel adaptive sliding mode finite control set model predictive control (FCS-MPC) strategy is proposed. And based on the arc-hyperbolic sine function, the speed extended state observer(ESO) is designed. ESO is used to construct the speed and the back electromotive force observer of PMSM system to realize the real time estimation of the motor speed and the back electromotive force fast and accurately; The load ESO and the new adaptive sliding mode control method are combined as the speed control strategy to simplify the design of the speed controller and improve the robustness of the system on the basis of the stability of the system. The FCS-MPC strategy based on fast selection of vector is used to reduce the electromagnetic torque ripple and reduce the complexity and computation of the algorithm. The simulation results show that compared with the traditional adaptive sliding mode FCS-MPC strategy, new control strategy can ensure reliable and stable operation of PMSM system, reduce the electromagnetic torque ripple of the system, which makes the system have good tracking speed, anti-interference and robustness.